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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Dent. Med.</journal-id>
<journal-title>Frontiers in Dental Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Dent. Med.</abbrev-journal-title>
<issn pub-type="epub">2673-4915</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fdmed.2025.1658720</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Dental Medicine</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The long-term efficacy of tetracycline class antimicrobials as local adjuncts in the treatment of chronic periodontitis: a systematic review and meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes"><name><surname>Soysa</surname><given-names>Niroshani S.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/3120010/overview"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/project-administration/"/><role content-type="https://credit.niso.org/contributor-roles/resources/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Jayakody</surname><given-names>Samadhi L.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/3051837/overview" /><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Alles</surname><given-names>C. N. R. A.</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/project-administration/"/><role content-type="https://credit.niso.org/contributor-roles/resources/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><institution>Department of Oral Medicine and Periodontology, Faculty of Dental Sciences, University of Peradeniya</institution>, <addr-line>Peradeniya</addr-line>, <country>Sri Lanka</country></aff>
<aff id="aff2"><label><sup>2</sup></label><institution>Department of Biochemistry, Faculty of Medicine, University of Peradeniya</institution>, <addr-line>Peradeniya</addr-line>, <country>Sri Lanka</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/996074/overview">Renato Correa Viana Casarin</ext-link>, Universidade Estadual de Campinas, Brazil</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/912457/overview">Patricia Miguez</ext-link>, University of North Carolina at Chapel Hill, United States </p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1994996/overview">Karo Parsegian</ext-link>, University of Colorado Anschutz Medical Campus, United States </p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3142584/overview">Shilpa Duseja</ext-link>, Narsinhbhai Patel Dental College &#x0026; Hospital, India</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Niroshani S. Soysa <email>niroshanis@dental.pdn.ac.lk</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>26</day><month>09</month><year>2025</year></pub-date>
<pub-date pub-type="collection"><year>2025</year></pub-date>
<volume>6</volume><elocation-id>1658720</elocation-id>
<history>
<date date-type="received"><day>09</day><month>07</month><year>2025</year></date>
<date date-type="accepted"><day>10</day><month>09</month><year>2025</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2025 Soysa, Jayakody and Alles.</copyright-statement>
<copyright-year>2025</copyright-year><copyright-holder>Soysa, Jayakody and Alles</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract><sec><title>Introduction</title>
<p>This systematic review assesses the long-term efficacy of tetracycline-class local antimicrobials as adjuncts to scaling and root planing (SRP) in chronic periodontitis. It focuses on improvements in primary outcomes such as probing pocket depth (PPD) and clinical attachment level (CAL), with particular attention to differences in treatment outcomes between smokers and non-smokers. Moreover, the assessed secondary outcomes encompassed bleeding on probing (BOP), gingival index (GI), and plaque index (PI).</p>
</sec><sec><title>Method</title>
<p>A systematic search of PubMed, Cochrane Central, Scopus, and Embase identified randomized controlled trials (RCTs) published up to 2024 with &#x2265;6 months follow-up. Long-term efficacy of local tetracyclines was assessed from the selected studies. Meta-analysis calculated weighted mean differences (WMDs) and 95&#x0025; CIs for the selected periodontal indices using R software. Meta-regression evaluated the impact of study design, assessment approach, treatment phase, and smoking status.</p>
</sec><sec><title>Results</title>
<p>This systematic review included 52 RCTs assessing the efficacy of adjunctive locally delivered antimicrobials in periodontal therapy. Meta-analysis showed significant benefits in both medium-term (6&#x2013;9 months) and long-term (12&#x2009;&#x002B;&#x2009;&#x2009;months) outcomes. Medium-term results demonstrated significant PPD reduction (WMD 0.516&#x2005;mm, 95&#x0025; CI 0.413; 0.620, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001) and CAL gain (WMD 0.336&#x2005;mm, 95&#x0025; CI 0.204; 0.467, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001), while long-term studies showed sustained improvements (PPD: WMD 0.371&#x2005;mm, 95&#x0025; CI 0.181; 0.560, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001; CAL: WMD 0.310&#x2005;mm, 95&#x0025; CI 0.240; 0.381, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001). Tetracycline fibers showed the greatest medium-term PPD reduction (0.705&#x2005;mm), followed by minocycline ointment (0.580&#x2005;mm). Long-term follow-up also demonstrated significant improvements in BOP, PI, and GI (WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.1&#x2013;0.3, <italic>P</italic>&#x2009;&#x003C;&#x2009;0.05). Subgroup analysis revealed non-smokers had greater PPD reduction (0.630&#x2005;mm vs. 0.112&#x2005;mm) and CAL gain (0.715&#x2005;mm vs. 0.464&#x2005;mm) than smokers (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.05) in long-term. Meta-regression indicated study design influenced outcomes, with split-mouth designs showing significantly greater improvements [<italic>&#x03B2;</italic>&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.422, 95&#x0025; CI (0.231; 0.613), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001].</p>
</sec><sec><title>Discussion</title>
<p>Sustained-release tetracyclines with SRP improve long-term outcomes in chronic periodontitis. Non-smokers exhibit greater clinical gains, though smokers also benefit. These results support tailored adjunctive local tetracycline use to optimize outcomes across patient groups. Further large-scale, long-term RCTs are needed to confirm efficacy and refine delivery formulations.</p>
</sec><sec><title>Conclusion</title>
<p>Locally delivered tetracycline-class antimicrobials significantly improve periodontal outcomes, with minocycline showing the most consistent benefits. These findings support the integration of tetracycline-class agents into treatment protocols, with special consideration for high-risk patients such as smokers. Future studies should emphasize cost-effectiveness, comparative efficacy, and long-term benefits, including the challenging management of furcation lesions, to better guide clinical decision-making and optimize patient outcomes.</p>
</sec>
</abstract>
<kwd-group>
<kwd>chronic periodontitis</kwd>
<kwd>clinical attachment gain</kwd>
<kwd>meta-analysis</kwd>
<kwd>probing pocket depth</kwd>
<kwd>randomized controlled trial</kwd>
<kwd>smoking status</kwd>
<kwd>systematic review</kwd>
<kwd>tetracycline</kwd>
</kwd-group><contract-num rid="cn001">URG/2022/71/D</contract-num><contract-sponsor id="cn001">University Research</contract-sponsor><counts>
<fig-count count="1"/>
<table-count count="7"/><equation-count count="2"/><ref-count count="112"/><page-count count="23"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Periodontics</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><label>1</label><title>Introduction</title>
<p>Periodontal diseases are considered one of the most prevalent non-communicable diseases globally, affecting approximately 19&#x0025; of the world population (<xref ref-type="bibr" rid="B1">1</xref>). Among them, chronic periodontitis is characterized by progressive attachment loss, alveolar bone resorption, pocket formation, and gingival inflammation (<xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>Scaling and Root Planing (SRP) remains the routine and established non-surgical therapy in managing patients diagnosed with periodontitis, among the other modalities which are encompassed in Subgingival Mechanical Debridement (SMD) (<xref ref-type="bibr" rid="B3">3</xref>). It is defined as a procedure involving the removal of dental plaque and calculus (scaling) and the smoothing of exposed root surfaces (root planing) to eliminate cementum or dentin impregnated with calculus, toxins, or microorganisms (<xref ref-type="bibr" rid="B4">4</xref>), thereby allowing regeneration of the lost attachment apparatus (<xref ref-type="bibr" rid="B5">5</xref>). SRP has been shown to reduce periodontal bacterial load and improve clinical parameters, including probing pocket depth (PPD), clinical attachment level (CAL), bleeding on probing (BOP), gingival index (GI), and plaque index (PI) (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>Despite its proven benefits, SRP presents several inherent limitations that preclude its use as a monotherapy in certain clinical situations. Studies have shown that SRP is less effective at mobile teeth, deep sites, and posterior teeth, particularly in molars with furcation involvements (<xref ref-type="bibr" rid="B8">8</xref>). Furthermore, routine SRP often results in hard tissue loss of the tooth structure, potentially causing root sensitivity (<xref ref-type="bibr" rid="B9">9</xref>). Most importantly, SRP alone may be insufficient to prevent bacterial invasion into tissues of deep pockets, leading to possible re-infection and persistent lesions, particularly at localized sites (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>To overcome these limitations of SRP, various adjunctive therapies have been developed and investigated. These include antimicrobials, antiseptics, host-modulating agents, lasers, photodynamic therapy, and probiotics (<xref ref-type="bibr" rid="B11">11</xref>). Among them, due to the localized nature of persistent lesions and the bacterial etiology of chronic periodontitis, antimicrobials are considered among the most suitable adjunctive therapies (<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>Antimicrobials can be delivered systemically or locally, each with distinct characteristics. Systemic antimicrobials have demonstrated efficacy in both chronic and aggressive periodontitis (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). However, it presents numerous disadvantages that limit its routine application. These include the requirement for good patient compliance, potential systemic adverse effects, increased risk of bacterial resistance, inability to attain adequate concentrations at pathological sites, and the need for high systemic doses (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>). Local drug delivery systems offer a compelling alternative, providing direct administration to the affected site, achieving high concentrations for prolonged periods, and minimizing systemic exposure (<xref ref-type="bibr" rid="B17">17</xref>). These systems, available as fibers, films, gels, pastes, ointments, and microspheres, exhibit superior pharmacokinetic properties and reduce the need for surgical intervention in deep pockets (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Numerous studies assessing the effectiveness of locally administered antimicrobials suggest that they may be as effective as SRP alone, indicating that adjunctive use could further enhance SRP&#x0027;s efficacy (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>).</p>
<p>Among local antimicrobials, the tetracycline class&#x2014;comprising tetracycline, doxycycline, and minocycline&#x2014;is widely utilized due to its broad-spectrum antimicrobial activity and additional therapeutic properties. Systemically, tetracyclines are bacteriostatic, but when delivered locally via controlled-release devices, they exert bactericidal effects against many anaerobic periodontal pathogens (<xref ref-type="bibr" rid="B22">22</xref>). Tetracyclines also demonstrate substantivity, adhering to dentine and cementum, which allows sustained drug release in the gingival crevicular fluid for 10&#x2013;14 days. Beyond antimicrobial action, tetracyclines possess anti-collagenolytic, anti-inflammatory, and anti-resorptive effects, which mitigate connective tissue destruction and bone loss (<xref ref-type="bibr" rid="B23">23</xref>). Tetracyclines have also been shown to retard pellicle and plaque formation and pocket formation, contributing to their overall efficacy in periodontal therapy (<xref ref-type="bibr" rid="B24">24</xref>). Multiple studies have confirmed that locally administered tetracyclines improve clinical indices to a degree comparable to SRP alone, suggesting significant potential as adjuncts (<xref ref-type="bibr" rid="B25">25</xref>), but their long-term benefits, particularly in specific patient populations, require further exploration.</p>
<p>Tetracycline HCl (TET) has been extensively studied in various controlled and sustained-release delivery systems. Studies have demonstrated that TET alone can improve clinical indices such as PPD reduction, CAL gain, and changes in BOP, PI, and GI to levels comparable to SRP alone (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>). When used as an adjunct to SRP, TET has shown additional benefits in terms of clinical and microbiological outcomes (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B28">28</xref>). Doxycycline is a semisynthetic tetracycline derivative that has demonstrated significant improvements in PPD reduction and CAL gain when used as an adjunct to SRP compared to SRP alone (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B29">29</xref>). Minocycline has also demonstrated significant improvements in clinical parameters when used as an adjunct to SRP (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>).</p>
<p>Despite extensive research, several knowledge gaps persist. Previous systematic reviews have consistently reported that adjunctive antimicrobial therapy provides short-term improvements in periodontal parameters, but they also highlighted the lack of long-term follow-up data beyond 6&#x2013;9 months. This limitation prevents firm conclusions regarding relapse or the sustained effect of these agents (<xref ref-type="bibr" rid="B32">32</xref>). Few systematic reviews and meta-analyses on locally delivered antibiotics have analyzed tetracycline separately, but subgroup analyses were generally limited to only a few medium-term studies (<xref ref-type="bibr" rid="B33">33</xref>) and limited long-term studies (<xref ref-type="bibr" rid="B34">34</xref>), with no evaluation by specific test products. Studies that did analyze test products, however, did not perform subgroup analyses according to tetracycline type (<xref ref-type="bibr" rid="B35">35</xref>). Reviews concentrating solely on tetracycline were often restricted to short-term (3 months) or medium-term (6 months) outcomes without subgroup analyses (<xref ref-type="bibr" rid="B36">36</xref>). In smoker populations, subgroup analyses were either absent (<xref ref-type="bibr" rid="B37">37</xref>) or restricted to a single formulation such as doxycycline (<xref ref-type="bibr" rid="B38">38</xref>), with some reviews excluding smoker-only studies while still including mixed-population studies without stratified analyses for smokers vs. non-smokers (<xref ref-type="bibr" rid="B35">35</xref>). Moreover, most studies have primarily focused on primary outcomes such as PPD and CAL, while secondary outcomes including BOP, PI, and GI have been underexplored (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B39">39</xref>). In addition, participant numbers for individual tetracycline formulations were often small, limiting the strength of conclusions about their efficacy. To compensate, many reviews pooled data across different antibiotic types, but this approach risks obscuring formulation-specific effects. These gaps underscore the need for adequately powered, long-term studies that evaluate individual tetracycline products, extend follow-up beyond 12 months, and stratify efficacy across clinically relevant subgroups, such as smokers and non-smokers.</p>
<p>Smoking is a major risk factor for periodontitis, associated with deeper pockets, more severe attachment loss, greater bone destruction, and higher rates of tooth loss (<xref ref-type="bibr" rid="B40">40</xref>). Smokers typically exhibit reduced healing responses following conventional periodontal therapy compared to non-smokers (<xref ref-type="bibr" rid="B41">41</xref>). Intriguingly, some evidence suggests smokers may derive greater benefits from local antibiotics, with studies reporting significantly greater PPD reductions and CAL gains when adjunctive local antimicrobials are used (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B42">42</xref>). However, no comprehensive meta-analysis has specifically evaluated tetracycline-class local delivery devices in chronic periodontitis with long-term follow-up, stratified by smoking status.</p>
<p>This study aims to address the following Population, Intervention, Comparison, and Outcome (PICO) question: Do sustained and controlled-release local tetracycline delivery devices, used as adjuncts to SRP, improve clinical indices such as PPD and CAL in patients with chronic periodontitis compared to those treated with SRP alone? By focusing on long-term outcomes, this study seeks to fill a critical knowledge gap. Understanding the differential efficacy of local tetracycline therapy in groups such as smokers vs. non-smokers could inform personalized treatment strategies, optimizing outcomes for patients with varying risk profiles.</p>
</sec>
<sec id="s2" sec-type="methods"><label>2</label><title>Methods</title>
<sec id="s2a"><label>2.1</label><title>Literature search</title>
<p>In order to identify potentially relevant human randomized controlled clinical trials published in English, a comprehensive systematic search was performed across several electronic databases, namely PubMed/MEDLINE, Cochrane Central Register of Controlled Trials, Scopus, and Embase. The search included publications up to December 2024 and utilized a mix of Medical Subject Headings (MeSH) and free-text keywords. The search strategy, initially designed for PubMed and adjusted for use in the other databases, combined terms as follows: (Periodontal Diseases OR periodontal disease OR periodontitis) AND (tetracycline OR doxycycline OR minocycline) AND (local OR topical) AND (randomized controlled trials OR clinical trials) (<xref ref-type="sec" rid="s10">Supplementary Appendix 1</xref>). In addition, the reference lists of selected systematic reviews and individual studies were manually examined to locate any potentially relevant articles not captured by the electronic database. This systematic review was conducted in accordance with the PRISMA 2020 guidelines for systematic reviews and meta-analyses (<xref ref-type="sec" rid="s10">Supplementary Appendix 2</xref>), and its protocol was registered in the PROSPERO database (Registration No: CRD42021247300) (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>).</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>PRISMA flow diagram of the study selection process.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fdmed-06-1658720-g001.tif"><alt-text content-type="machine-generated">Flowchart depicting a systematic review process. \n\n**Identification**: \n- Records identified from various databases: PubMed (1155), Scopus (472), Embase (229), Cochrane Library (250) with additional sources (94). \n- Total records screened for duplicates: 2200. Duplicates removed: 983.\n\n**Screening**: \n- Records screened for title and abstract: 1217. Records excluded: 1165.\n\n**Eligibility**:\n- Full-text articles assessed: 52. Articles excluded with reasons: 9 (duplicate data and overlap).\n\n**Included**:\n- Studies included in qualitative synthesis: 43.\n- Articles excluded for quantitative synthesis with reasons: 10 (non-extractable effect sizes, insufficient data).\n- Studies included in quantitative synthesis/meta-analysis: 33.</alt-text>
</graphic>
</fig>
<p>Although the redefinition of periodontal diagnoses (e.g., Stage/Grade) was established by the 2017 World Workshop on the Classification of Periodontal and Peri-Implant Diseases (<xref ref-type="bibr" rid="B43">43</xref>), a plethora of published literature from 1990 to 2024 labeled cases as &#x201C;chronic periodontitis&#x201D; and described interventions as &#x201C;SRP&#x201D;. Since, SRP remains the gold standard non-surgical therapy and therefore, in order to ensure comprehensiveness and consistency with the available RCT literature, we retained the terms &#x201C;SRP&#x201D; and &#x201C;chronic periodontitis&#x201D; in our search strategy and data inclusion criteria while acknowledging the updated classification framework.</p>
</sec>
<sec id="s2b"><label>2.2</label><title>Selection of studies</title>
<p>The inclusion criteria were defined according to the PICO framework:</p>
<p>Population (P): Human participants aged 18 years or older diagnosed with chronic or adult periodontitis.</p>
<p>Intervention (I): SRP (whether full-mouth, localized, or performed in single or repeated appointments) combined with the administration of a locally delivered tetracycline-based antibiotic (e.g., tetracycline, doxycycline, or minocycline) at manufacturer-recommended concentrations or dosages.</p>
<p>Comparison (C): SRP alone or combined with a vehicle/placebo.</p>
<p>Outcomes (O): Primary outcomes included changes in PPD and CAL. Secondary outcomes included BOP, PI, and GI, which provide additional information on inflammation and oral hygiene status.</p>
<p>Any adverse effects reported by patients or examiners were also collected when available. Only human randomized controlled clinical trials (RCTs) with either parallel or split-mouth designs were included. A minimum follow-up period of six months was required for inclusion. Studies were excluded if they involved systemic antimicrobials as an intervention, evaluated local antimicrobials as monotherapy, employed non&#x2013;sustained-release delivery vehicles, or were conducted exclusively in diabetic populations.</p>
</sec>
<sec id="s2c"><label>2.3</label><title>Data abstraction and study characteristics</title>
<p>A systematic search of electronic databases was conducted to identify relevant studies. Two independent reviewers (NSS, SLJ) evaluated study eligibility by first screening titles and abstracts, followed by a detailed review of the full texts of potentially eligible studies. Studies lacking adequate data for meta-analysis were included in the systematic review but excluded from the meta-analysis. Data extraction was carried out using Microsoft Excel (Microsoft, Redmond, WA, USA), collecting the following details: author information (name and publication year), participant demographics, study design and characteristics, methods for clinical outcome assessment, intervention specifics (type and dosage of tetracycline used), changes in clinical indices, and any documented adverse effects.</p>
</sec>
<sec id="s2d"><label>2.4</label><title>Risk of bias assessment; in individual studies</title>
<p>Quality assessment was conducted independently by the same two reviewers. The risk of bias within individual randomized controlled trials was evaluated using the Cochrane Collaboration Risk of Bias Tool, which is widely regarded as the standard instrument for assessing methodological quality in intervention studies (<xref ref-type="bibr" rid="B44">44</xref>). This tool was chosen because it provides a structured framework to assess bias across key domains: selection bias (random sequence generation and allocation concealment), performance bias (blinding of participants and personnel), detection bias (blinding of outcome assessors), attrition bias (handling of incomplete outcome data), and reporting bias (selective outcome reporting). Each domain was rated as having a high (H), low (L), or unclear risk (UR) of bias (<xref ref-type="bibr" rid="B45">45</xref>).</p>
</sec>
<sec id="s2e"><label>2.5</label><title>Data analysis</title>
<p>Meta-analyses were performed by pooling the mean differences in treatment effects from baseline to follow-up. Data on primary outcomes from the selected studies were combined and evaluated using weighted mean differences (WMDs) accompanied by 95&#x0025; confidence intervals (CIs). For both test and control groups, mean changes in clinical indices&#x2014;such as probing pocket depth (PPD) and clinical attachment level (CAL)&#x2014;were obtained from the studies. When these differences were not directly reported, they were derived from baseline and end-point values following methods outlined in prior literature (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B46">46</xref>). The difference (&#x0394;) was computed using the equation:<disp-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="UDM1"><mml:mrow><mml:mi mathvariant="normal">&#x0394;</mml:mi></mml:mrow><mml:mi>P</mml:mi><mml:mi>P</mml:mi><mml:mi>D</mml:mi><mml:mspace width="0.25em"/><mml:mo>=</mml:mo><mml:mi>P</mml:mi><mml:mi>P</mml:mi><mml:msub><mml:mi>D</mml:mi><mml:mrow><mml:mi>B</mml:mi><mml:mi>L</mml:mi></mml:mrow></mml:msub><mml:mo>&#x2212;</mml:mo><mml:mi>P</mml:mi><mml:mi>P</mml:mi><mml:msub><mml:mi>D</mml:mi><mml:mrow><mml:mi>E</mml:mi><mml:mi>n</mml:mi><mml:mi>d</mml:mi></mml:mrow></mml:msub></mml:math></disp-formula>where PPDBL is the mean PPD at baseline, and PPDEnd is the mean PPD at the end of follow-up. This calculation was extended to other indices, including &#x0394;CAL, &#x0394;BOP, &#x0394;PI, and &#x0394;GI. Variances for these differences were estimated using,<disp-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="UDM2"><mml:mi>V</mml:mi><mml:mi>a</mml:mi><mml:mi>r</mml:mi><mml:mrow><mml:mi mathvariant="normal">&#x0394;</mml:mi></mml:mrow><mml:mspace width="0.25em"/><mml:mo>=</mml:mo><mml:mi>V</mml:mi><mml:mi>a</mml:mi><mml:msub><mml:mi>r</mml:mi><mml:mrow><mml:mi>B</mml:mi><mml:mi>L</mml:mi></mml:mrow></mml:msub><mml:mo>+</mml:mo><mml:mspace width="0.25em"/><mml:mi>V</mml:mi><mml:mi>a</mml:mi><mml:msub><mml:mi>r</mml:mi><mml:mrow><mml:mi>E</mml:mi><mml:mi>n</mml:mi><mml:mi>d</mml:mi></mml:mrow></mml:msub><mml:mo>&#x2212;</mml:mo><mml:mn>2</mml:mn><mml:mo>&#x00D7;</mml:mo><mml:mi>r</mml:mi><mml:mo>&#x00D7;</mml:mo><mml:msub><mml:mi>&#x03C3;</mml:mi><mml:mrow><mml:mi>B</mml:mi><mml:mi>L</mml:mi></mml:mrow></mml:msub><mml:mo>&#x00D7;</mml:mo><mml:msub><mml:mi>&#x03C3;</mml:mi><mml:mrow><mml:mi>E</mml:mi><mml:mi>n</mml:mi><mml:mi>d</mml:mi></mml:mrow></mml:msub></mml:math></disp-formula>where r (assumed 0.5) represents the correlation between baseline and follow-up measures, and <italic>&#x03C3;</italic>BL and <italic>&#x03C3;</italic>End are the standard deviations at baseline and end of follow-up, respectively (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B46">46</xref>). Heterogeneity among studies was quantified with the Cochrane <italic>Q</italic> test and <italic>I</italic>&#x00B2; statistic (25&#x0025;&#x2009;&#x003D;<sans-serif>&#x2009;low</sans-serif>, 50&#x0025;&#x2009;&#x003D;<sans-serif>&#x2009;moderate</sans-serif>, 75&#x0025;&#x2009;&#x003D;<sans-serif>&#x2009;high</sans-serif>), and effect estimates were combined under both fixed-effect/common-effect (Mantel&#x2013;Haenszel&#x2013;Peto) and random-effects (DerSimonian&#x2013;Laird) models, reporting the latter as significant heterogeneity was present. Subsequently, subgroup analysis and meta-regression were performed. All computations were performed in R (version 4.4.2; R Core Team, 2024), with statistical significance defined at <italic>P</italic>&#x2009;&#x2264;&#x2009;0.05.</p>
</sec>
<sec id="s2f"><label>2.6</label><title>Publication bias and sensitivity analyses</title>
<p>For assessment of publication bias across trials, funnel plot asymmetry was examined and formally tested using Egger&#x0027;s regression method (<xref ref-type="bibr" rid="B47">47</xref>) when at least ten studies were available. If bias was indicated, the trim-and-fill approach (<xref ref-type="bibr" rid="B48">48</xref>) was applied to estimate and impute potentially missing studies and derive an adjusted pooled effect size. Robustness of the findings was further evaluated through sensitivity analyses&#x2014;by leave-one-study-out approach, in which each study was omitted in turn to assess its individual contribution to the overall effect.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><label>3</label><title>Results</title>
<sec id="s3a"><label>3.1</label><title>Study selection</title>
<p>The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) study flow, which delineates the process of article inclusion, is shown in <xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>. Publications released until 2024 that were in the English language underwent a screening process. Records were screened, and following an examination of the titles and abstracts of the identified articles, 52 articles were selected; of these, 43 articles were incorporated into the systematic review, while the remaining 9 were excluded after a thorough analysis of the full texts (<xref ref-type="sec" rid="s10">Supplementary Appendix 3</xref>). For the meta-analysis, 33 articles met the eligibility criteria. Although 52 articles were reviewed for data extraction, they correspond to 43 independent studies due to the fact that clinical data and clinical data coupled with microbiological data were presented in two distinct publications: Cortelli et al. (<xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B50">50</xref>); Drisko et al.; Michalowicz et al. (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B51">51</xref>); Eickholz et al.; Ratka-Kr&#x00FC;ger et al. (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B52">52</xref>); Goodson et al.; Socransky et al. (<xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B54">54</xref>); Newman et al.; Wilson et al. (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B55">55</xref>); Wong et al.; Wong et al. (<xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B57">57</xref>). Thus, the publications that addressed the clinical data were utilized (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B56">56</xref>). The investigations conducted by Tomasi et al. (<xref ref-type="bibr" rid="B58">58</xref>); Tomasi and Wennstrom (<xref ref-type="bibr" rid="B59">59</xref>) explored the same data from varying perspectives, with the former providing a comprehensive discussion and the latter examining the data in relation to different degrees of furcation involvement. Moreover, another study derived its data from three distinct papers: Colombo et al.; Gon&#x00E7;alves et al.; Rodrigues et al. (<xref ref-type="bibr" rid="B60">60</xref>&#x2013;<xref ref-type="bibr" rid="B62">62</xref>), two of which primarily concentrated on microbiological data, while Gon&#x00E7;alves et al. (<xref ref-type="bibr" rid="B61">61</xref>) addressed clinical data. Nevertheless, the research by Rodrigues et al. (<xref ref-type="bibr" rid="B62">62</xref>) engaged in a subgroup analysis based on the smoking status of the cohort.</p>
</sec>
<sec id="s3b"><label>3.2</label><title>Study characteristics and quality assessment</title>
<sec id="s3b1"><label>3.2.1</label><title>Study design and population</title>
<p>The characteristics of the studies included in this review are delineated in <xref ref-type="table" rid="T1">Tables&#x00A0;1</xref>, <xref ref-type="table" rid="T2">2</xref>. Among the 43 studies selected for inclusion, 17 employed a split-mouth design, whereas 26 utilized a parallel design. Of the 43 studies, 31 were conducted in a single-center context, while 12 were executed in multi-centers (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>). The research settings predominantly occurred within university environments (<italic>n</italic>&#x2009;&#x003D;&#x2009;37) or private facilities (<italic>n</italic>&#x2009;&#x003D;&#x2009;3). Two studies failed to disclose the specific setting of the investigation (<xref ref-type="sec" rid="s10">Supplementary Table 1</xref>). The duration of the studies ranged from a minimum of 6 months to a maximum of 24 months. Among the studies under consideration, 14 incorporated multiple test groups, while 6 included more than one control group (<xref ref-type="sec" rid="s10">Supplementary Table 2</xref>).</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Demographics of the study population.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Study reference</th>
<th valign="top" align="center">Country</th>
<th valign="top" align="center">Centre <break/>(Single/<break/>Multi)</th>
<th valign="top" align="center">Sample size<break/>(baseline/end)</th>
<th valign="top" align="center">Mean age (range)</th>
<th valign="top" align="center">Female <break/>(&#x0025;)</th>
<th valign="top" align="center">Smokers <break/>(&#x0025;)</th>
<th valign="top" align="center">Study <break/>duration<break/>(months)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Aboelsaad et al. (2014) (<xref ref-type="bibr" rid="B63">63</xref>)</td>
<td valign="top" align="left">Lebanon</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">20/20</td>
<td valign="top" align="center">37 (31&#x2013;49)</td>
<td valign="top" align="center">75</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">A&#x011F;an et al. (2006) (<xref ref-type="bibr" rid="B64">64</xref>)</td>
<td valign="top" align="left">Turkey</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">10/NR</td>
<td valign="top" align="center">55 (41&#x2013;69)</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Ahamed et al. (2013) (<xref ref-type="bibr" rid="B65">65</xref>)</td>
<td valign="top" align="left">India</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">12/12</td>
<td valign="top" align="center">NR (22&#x2013;55)</td>
<td valign="top" align="center">41.6</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Aimetti et al. (2004) (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="left">Italy</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">19/19</td>
<td valign="top" align="center">47&#x2009;&#x00B1;&#x2009;10.78 (NR)</td>
<td valign="top" align="center">58</td>
<td valign="top" align="center">Non-smokers</td>
<td valign="top" align="center">6, 12</td>
</tr>
<tr>
<td valign="top" align="left">Bogren et al. (2008) (<xref ref-type="bibr" rid="B66">66</xref>)</td>
<td valign="top" align="left">USA &#x0026; Sweden</td>
<td valign="top" align="left">Multi</td>
<td valign="top" align="center">128/124</td>
<td valign="top" align="center">NR (34&#x2013;82)</td>
<td valign="top" align="center">58.6</td>
<td valign="top" align="center">29.7</td>
<td valign="top" align="center">12, 24</td>
</tr>
<tr>
<td valign="top" align="left">Cortelli et al. (2006) (<xref ref-type="bibr" rid="B49">49</xref>);<break/>Cortelli et al. (2008) (<xref ref-type="bibr" rid="B50">50</xref>)</td>
<td valign="top" align="left">Brazil</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">59/26</td>
<td valign="top" align="center">46.8&#x2009;&#x00B1;&#x2009;12.1 (26&#x2013;69)</td>
<td valign="top" align="center">46.2</td>
<td valign="top" align="center">Non-smokers</td>
<td valign="top" align="center">6,9</td>
</tr>
<tr>
<td valign="top" align="left">Dannewitz et al. (2009) (<xref ref-type="bibr" rid="B67">67</xref>)</td>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">39/34</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">59</td>
<td valign="top" align="center">25.6</td>
<td valign="top" align="center">6, 12</td>
</tr>
<tr>
<td valign="top" align="left">Deo et al. (2011) (<xref ref-type="bibr" rid="B68">68</xref>)</td>
<td valign="top" align="left">India</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">60/60</td>
<td valign="top" align="center">36.8&#x2009;&#x00B1;<sans-serif>&#x2009;4</sans-serif>.87<break/>(30&#x2013;45)</td>
<td valign="top" align="center">58.3</td>
<td valign="top" align="center">Non-smokers</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Drisko et al. (1995);<break/>Michalowics et al. (1995) (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B51">51</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Multi</td>
<td valign="top" align="center">122/116</td>
<td valign="top" align="center">45.1 (25&#x2013;73)</td>
<td valign="top" align="center">44.3</td>
<td valign="top" align="center">59</td>
<td valign="top" align="center">12</td>
</tr>
<tr>
<td valign="top" align="left">Eickholz et al. (2002);<break/>Ratka-Kr&#x00FC;ger et al. (2005) (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B52">52</xref>)</td>
<td valign="top" align="left">Germany, The Netherlands</td>
<td valign="top" align="left">Multi</td>
<td valign="top" align="center">111/110</td>
<td valign="top" align="center">49.9&#x2009;&#x00B1;&#x2009;9.8<break/>(23&#x2013;71)</td>
<td valign="top" align="center">63</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Flemmig et al. (1996) (<xref ref-type="bibr" rid="B69">69</xref>)</td>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">35/28</td>
<td valign="top" align="center">53.6&#x2009;&#x00B1;&#x2009;12.4 (NR)</td>
<td valign="top" align="center">35.7</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Friesen et al. (2002) (<xref ref-type="bibr" rid="B70">70</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">28/24</td>
<td valign="top" align="center">43.6 (26&#x2013;69)</td>
<td valign="top" align="center">53.6</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Colombo et al. (2003);<break/>Gon&#x00E7;alves et al. (2004);<break/>Rodrigues et al. (2004) (<xref ref-type="bibr" rid="B60">60</xref>&#x2013;<xref ref-type="bibr" rid="B62">62</xref>)</td>
<td valign="top" align="left">Brazil</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">30/NR</td>
<td valign="top" align="center">46&#x2009;&#x00B1;&#x2009;11 (NR)</td>
<td valign="top" align="center">56.7</td>
<td valign="top" align="center">16.7</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Goodson et al. (1985) (<xref ref-type="bibr" rid="B71">71</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">10/10</td>
<td valign="top" align="center">38 (27&#x2013;52)</td>
<td valign="top" align="center">70</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">6, 9, 12</td>
</tr>
<tr>
<td valign="top" align="left">Goodson et al. (2012);<break/>Socransky et al. (2013) (<xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B54">54</xref>)</td>
<td valign="top" align="left">USA, Sweden</td>
<td valign="top" align="left">Multi</td>
<td valign="top" align="center">231/187</td>
<td valign="top" align="center">48&#x2009;&#x00B1;&#x2009;0.8 (&#x003E;20)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">40.1</td>
<td valign="top" align="center">24</td>
</tr>
<tr>
<td valign="top" align="left">Gopinath et al. (2009) (<xref ref-type="bibr" rid="B72">72</xref>)</td>
<td valign="top" align="left">India</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">15/15</td>
<td valign="top" align="center">35&#x2013;50</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Henderson et al. (2002) (<xref ref-type="bibr" rid="B73">73</xref>)</td>
<td valign="top" align="left">New Zealand</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">15/15</td>
<td valign="top" align="center">46.3 (35&#x2013;69)</td>
<td valign="top" align="center">53.3</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Jain et al. (2012) (<xref ref-type="bibr" rid="B74">74</xref>)</td>
<td valign="top" align="left">India</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">15/13</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">Non-smokers</td>
<td valign="top" align="center">6, 9</td>
</tr>
<tr>
<td valign="top" align="left">Jones et al. (1994) (<xref ref-type="bibr" rid="B75">75</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">51/39</td>
<td valign="top" align="center">NR (28&#x2013;68)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Killeen et al. (2016) (<xref ref-type="bibr" rid="B76">76</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">60/51</td>
<td valign="top" align="center">67.0 (40&#x2013;85)</td>
<td valign="top" align="center">31.3</td>
<td valign="top" align="center">23.5</td>
<td valign="top" align="center">6, 12</td>
</tr>
<tr>
<td valign="top" align="left">Kinane and Radvar (1999) (<xref ref-type="bibr" rid="B77">77</xref>)</td>
<td valign="top" align="left">UK</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">83/79</td>
<td valign="top" align="center">45&#x2009;&#x00B1;&#x2009;6.4</td>
<td valign="top" align="center">63.3</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Lie et al. (1998) (<xref ref-type="bibr" rid="B78">78</xref>)</td>
<td valign="top" align="left">Norway</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">18/18</td>
<td valign="top" align="center">NR (36&#x2013;77)</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Machion et al. (2004) (<xref ref-type="bibr" rid="B79">79</xref>)</td>
<td valign="top" align="left">Brazil</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">48/43</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">55.8</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Machion et al. (2006) (<xref ref-type="bibr" rid="B80">80</xref>)</td>
<td valign="top" align="left">Brazil</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">48/30</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">55.8</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">12, 18, 24</td>
</tr>
<tr>
<td valign="top" align="left">Meinberg et al. (2002) (<xref ref-type="bibr" rid="B81">81</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">48/48</td>
<td valign="top" align="center">56 (NR)</td>
<td valign="top" align="center">54.2</td>
<td valign="top" align="center">31.3</td>
<td valign="top" align="center">12</td>
</tr>
<tr>
<td valign="top" align="left">Newman et al. (1994);<break/>Wilson et al. (1997) (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B55">55</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Multi</td>
<td valign="top" align="center">113/105</td>
<td valign="top" align="center">51.0 (NR)</td>
<td valign="top" align="center">46.7</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">OPI (103A) (2000) (<xref ref-type="bibr" rid="B82">82</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Multi</td>
<td valign="top" align="center">368</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">44.8</td>
<td valign="top" align="center">41</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">OPI (103B) (2000) (<xref ref-type="bibr" rid="B83">83</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Multi</td>
<td valign="top" align="center">380</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">45.5</td>
<td valign="top" align="center">31.6</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Oringer et al. (2002) (<xref ref-type="bibr" rid="B84">84</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Multi</td>
<td valign="top" align="center">271</td>
<td valign="top" align="center">&#x003E;30</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">6, 9</td>
</tr>
<tr>
<td valign="top" align="left">Reddy et al. (2016) (<xref ref-type="bibr" rid="B85">85</xref>)</td>
<td valign="top" align="left">India</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">53/48</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">Non-smokers</td>
<td valign="top" align="center">6, 12</td>
</tr>
<tr>
<td valign="top" align="left">Singh et al. (2014) (<xref ref-type="bibr" rid="B86">86</xref>)</td>
<td valign="top" align="left">India</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">41/35</td>
<td valign="top" align="center">20&#x2013;50</td>
<td valign="top" align="center">51.4</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Soeroso et al. (2017) (<xref ref-type="bibr" rid="B87">87</xref>)</td>
<td valign="top" align="left">Indonesia</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">84/81</td>
<td valign="top" align="center">30&#x2013;55</td>
<td valign="top" align="center">77.8</td>
<td valign="top" align="center">Non-smokers</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Sweatha et al. (2015) (<xref ref-type="bibr" rid="B88">88</xref>)</td>
<td valign="top" align="left">India</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">18/NR</td>
<td valign="top" align="center">&#x003E;30</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Tabenski et al. (2017) (<xref ref-type="bibr" rid="B89">89</xref>)</td>
<td valign="top" align="left">Germany</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">54/45</td>
<td valign="top" align="center">48&#x2013;63</td>
<td valign="top" align="center">53.3</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">6, 12</td>
</tr>
<tr>
<td valign="top" align="left">Timmerman et al. (1996) (<xref ref-type="bibr" rid="B90">90</xref>)</td>
<td valign="top" align="left">The Netherlands</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">20/20</td>
<td valign="top" align="center">44.9 (39&#x2013;59)</td>
<td valign="top" align="center">65</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">6, 9, 12,15, 18</td>
</tr>
<tr>
<td valign="top" align="left">Tomasi et al. (2008);<break/>Tomasi and Wennstrom (2011) (<xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B59">59</xref>)</td>
<td valign="top" align="left">Sweden</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">33/32</td>
<td valign="top" align="center">NR (32&#x2013;70)</td>
<td valign="top" align="center">53.1</td>
<td valign="top" align="center">46.9</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Tonetti et al. (1998) (<xref ref-type="bibr" rid="B91">91</xref>)</td>
<td valign="top" align="left">Italy</td>
<td valign="top" align="left">Multi</td>
<td valign="top" align="center">127/123</td>
<td valign="top" align="center">49.7&#x2009;&#x00B1;&#x2009;9.2 (NR)</td>
<td valign="top" align="center">44.8</td>
<td valign="top" align="center">45.6</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Tonetti et al. (2012) (<xref ref-type="bibr" rid="B92">92</xref>)</td>
<td valign="top" align="left">Italy, Belgium, Germany, Greece, The Netherlands, Switzerland</td>
<td valign="top" align="left">Multi</td>
<td valign="top" align="center">202/200</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">60.4</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">6, 12</td>
</tr>
<tr>
<td valign="top" align="left">Van Dyke et al. (2002) (<xref ref-type="bibr" rid="B93">93</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">50/44</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Van Steenberghe et al. (1999) (<xref ref-type="bibr" rid="B94">94</xref>)</td>
<td valign="top" align="left">Belgium, Sweden, UK, The Netherlands</td>
<td valign="top" align="left">Multi</td>
<td valign="top" align="center">104/93</td>
<td valign="top" align="center">46<break/>(34&#x2013;64)</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">6, 9, 12, 15</td>
</tr>
<tr>
<td valign="top" align="left">Williams et al. (2001 (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Multi</td>
<td valign="top" align="center">748/696</td>
<td valign="top" align="center">NR (29&#x2013;79)</td>
<td valign="top" align="center">45.2</td>
<td valign="top" align="center">36.2</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Wong et al. (1998);<break/>Wong et al. (1999) (<xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B57">57</xref>)</td>
<td valign="top" align="left">Taiwan</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">30/30</td>
<td valign="top" align="center">42.7 (NR)</td>
<td valign="top" align="center">36.7</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Zingale et al. (2012) (<xref ref-type="bibr" rid="B95">95</xref>)</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">25/25</td>
<td valign="top" align="center">50.9 (31&#x2013;76)</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">6</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><p>NR, not reported.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Study characteristics used for the meta-analysis.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Study reference</th>
<th valign="top" align="center">Blinding</th>
<th valign="top" align="center">Design</th>
<th valign="top" align="center">Phase; Initial/Maintenance</th>
<th valign="top" align="center">Assessment; FM/PM</th>
<th valign="top" align="center">Test product</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Aboelsaad et al. (2014) (<xref ref-type="bibr" rid="B63">63</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Split</td>
<td valign="top" align="left">Initial</td>
<td valign="top" align="left">PM&#x2014;2 sites</td>
<td valign="top" align="left">Arestin</td>
</tr>
<tr>
<td valign="top" align="left">A&#x011F;an et al. (2006) (<xref ref-type="bibr" rid="B64">64</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Split</td>
<td valign="top" align="left">Initial</td>
<td valign="top" align="left">PM&#x2014;2 sites</td>
<td valign="top" align="left">Atridox</td>
</tr>
<tr>
<td valign="top" align="left">Ahamed et al. (2013) (<xref ref-type="bibr" rid="B65">65</xref>)</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Parallel</td>
<td valign="top" align="left">Initial</td>
<td valign="top" align="left">PM&#x2014;5 sites</td>
<td valign="top" align="left">Atridox</td>
</tr>
<tr>
<td valign="top" align="left">Aimetti et al. (2004) (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Split</td>
<td valign="top" align="left">Maintenance</td>
<td valign="top" align="left">PM&#x2014;2 teeth</td>
<td valign="top" align="left">Actisite</td>
</tr>
<tr>
<td valign="top" align="left">Bogren et al. (2008) (<xref ref-type="bibr" rid="B66">66</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Parallel</td>
<td valign="top" align="left">Maintenance</td>
<td valign="top" align="left">FM&#x2014;PD&#x2009;&#x003E;&#x2009;4</td>
<td valign="top" align="left">Atridox</td>
</tr>
<tr>
<td valign="top" align="left">Cortelli et al. (2006) (<xref ref-type="bibr" rid="B49">49</xref>);<break/>Cortelli et al. (2008) (<xref ref-type="bibr" rid="B50">50</xref>)</td>
<td valign="top" align="left">Double</td>
<td valign="top" align="left">Parallel</td>
<td valign="top" align="left">Initial</td>
<td valign="top" align="left">PM&#x2014;2 sites</td>
<td valign="top" align="left">Arestin</td>
</tr>
<tr>
<td valign="top" align="left">Dannewitz et al. (2009) (<xref ref-type="bibr" rid="B67">67</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Parallel</td>
<td valign="top" align="left">Maintenance</td>
<td valign="top" align="left">PM&#x2014;all furcation lesions</td>
<td valign="top" align="left">Ligosan</td>
</tr>
<tr>
<td valign="top" align="left">Deo et al. (2011) (<xref ref-type="bibr" rid="B68">68</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Parallel</td>
<td valign="top" align="left">Initial</td>
<td valign="top" align="left">PM&#x2014;6 sites</td>
<td valign="top" align="left">Atridox</td>
</tr>
<tr>
<td valign="top" align="left">Drisko et al. (1995) (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Split</td>
<td valign="top" align="left">Initial and Maintenance</td>
<td valign="top" align="left">FM</td>
<td valign="top" align="left">Actisite</td>
</tr>
<tr>
<td valign="top" align="left">Eickholz et al. (2002);<break/>Ratka-Kr&#x00FC;ger et al. (2005) (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B52">52</xref>)</td>
<td valign="top" align="left">Double</td>
<td valign="top" align="left">Split</td>
<td valign="top" align="left">Initial and Maintenance</td>
<td valign="top" align="left">PM&#x2014;4&#x2013;6 site</td>
<td valign="top" align="left">Ligosan</td>
</tr>
<tr>
<td valign="top" align="left">Flemmig et al. (1996) (<xref ref-type="bibr" rid="B69">69</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Split</td>
<td valign="top" align="left">Maintenance</td>
<td valign="top" align="left">PM&#x2014;1 tooth<break/>6 sites/tooth</td>
<td valign="top" align="left">Actisite</td>
</tr>
<tr>
<td valign="top" align="left">Friesen et al. (2002) (<xref ref-type="bibr" rid="B70">70</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Split</td>
<td valign="top" align="left">Initial</td>
<td valign="top" align="left">PM&#x2014;1 tooth</td>
<td valign="top" align="left">Tetra strip</td>
</tr>
<tr>
<td valign="top" align="left">Colombo et al. (2003);<break/>Gon&#x00E7;alves et al. (2004);<break/>Rodrigues et al. (2004) (<xref ref-type="bibr" rid="B60">60</xref>&#x2013;<xref ref-type="bibr" rid="B62">62</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Parallel</td>
<td valign="top" align="left">Initial</td>
<td valign="top" align="left">FM/PM&#x2014;4 sites</td>
<td valign="top" align="left">Actisite</td>
</tr>
<tr>
<td valign="top" align="left">Goodson et al. (1985) (<xref ref-type="bibr" rid="B71">71</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Split</td>
<td valign="top" align="left">Initial</td>
<td valign="top" align="left">FM</td>
<td valign="top" align="left">Actisite</td>
</tr>
<tr>
<td valign="top" align="left">Goodson et al. (2012);<break/>Socransky et al. (2013) (<xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B54">54</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Parallel</td>
<td valign="top" align="left">Initial</td>
<td valign="top" align="left">FM</td>
<td valign="top" align="left">Actisite</td>
</tr>
<tr>
<td valign="top" align="left">Gopinath et al. (2009) (<xref ref-type="bibr" rid="B72">72</xref>)</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Split</td>
<td valign="top" align="left">Initial</td>
<td valign="top" align="left">PM&#x2014;4 sites<break/>2&#x2013;6 teeth</td>
<td valign="top" align="left">Arestin</td>
</tr>
<tr>
<td valign="top" align="left">Henderson et al. (2002) (<xref ref-type="bibr" rid="B73">73</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Split</td>
<td valign="top" align="left">Initial</td>
<td valign="top" align="left">PM&#x2014;1 site</td>
<td valign="top" align="left">Arestin</td>
</tr>
<tr>
<td valign="top" align="left">Jain et al. (2012) (<xref ref-type="bibr" rid="B74">74</xref>)</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Split</td>
<td valign="top" align="left">Initial</td>
<td valign="top" align="left">PM&#x2014;1&#x2013;2 sites</td>
<td valign="top" align="left">Dentomycin</td>
</tr>
<tr>
<td valign="top" align="left">Jones et al. (1994) (<xref ref-type="bibr" rid="B75">75</xref>)</td>
<td valign="top" align="left">Double</td>
<td valign="top" align="left">Parallel</td>
<td valign="top" align="left">Initial</td>
<td valign="top" align="left">PM&#x2014;13 site (average)</td>
<td valign="top" align="left">Minocin<break/>(mino. Powder)</td>
</tr>
<tr>
<td valign="top" align="left">Killeen et al. (2016) (<xref ref-type="bibr" rid="B76">76</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Parallel</td>
<td valign="top" align="left">Maintenance</td>
<td valign="top" align="left">PM&#x2014;1 site</td>
<td valign="top" align="left">Arestin</td>
</tr>
<tr>
<td valign="top" align="left">Kinane and Radvar (1999) (<xref ref-type="bibr" rid="B77">77</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Parallel</td>
<td valign="top" align="left">Maintenance</td>
<td valign="top" align="left">PM&#x2014;1 site</td>
<td valign="top" align="left">Dentomycin and Actisite</td>
</tr>
<tr>
<td valign="top" align="left">Lie et al. (1998) (<xref ref-type="bibr" rid="B78">78</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Split</td>
<td valign="top" align="left">Initial</td>
<td valign="top" align="left">PM&#x2014;1 site</td>
<td valign="top" align="left">Aureomycin</td>
</tr>
<tr>
<td valign="top" align="left">Machion et al. (2004) (<xref ref-type="bibr" rid="B79">79</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Parallel</td>
<td valign="top" align="left">Initial</td>
<td valign="top" align="left">PM&#x2014;6 site</td>
<td valign="top" align="left">Atridox</td>
</tr>
<tr>
<td valign="top" align="left">Machion et al. (2006) (<xref ref-type="bibr" rid="B80">80</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Parallel</td>
<td valign="top" align="left">Maintenance</td>
<td valign="top" align="left">PM&#x2014;6 site</td>
<td valign="top" align="left">Atridox</td>
</tr>
<tr>
<td valign="top" align="left">Meinberg et al. (2002) (<xref ref-type="bibr" rid="B81">81</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Parallel</td>
<td valign="top" align="left">Maintenance</td>
<td valign="top" align="left">PM&#x2014;2 sites</td>
<td valign="top" align="left">Arestin</td>
</tr>
<tr>
<td valign="top" align="left">Newman et al. (1994);<break/>Wilson et al. (1997) (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B55">55</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Split</td>
<td valign="top" align="left">Maintenance</td>
<td valign="top" align="left">PM&#x2014;2sites</td>
<td valign="top" align="left">Actisite</td>
</tr>
<tr>
<td valign="top" align="left">OPI (103A) (2000) (<xref ref-type="bibr" rid="B82">82</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Parallel</td>
<td valign="top" align="left">Initial</td>
<td valign="top" align="left">FM-PD&#x2265;5mm</td>
<td valign="top" align="left">Arestin</td>
</tr>
<tr>
<td valign="top" align="left">OPI (103B) (2000) (<xref ref-type="bibr" rid="B83">83</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Parallel</td>
<td valign="top" align="left">Initial</td>
<td valign="top" align="left">FM-PD&#x2265;5mm</td>
<td valign="top" align="left">Arestin</td>
</tr>
<tr>
<td valign="top" align="left">Oringer et al. (2002) (<xref ref-type="bibr" rid="B84">84</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Parallel</td>
<td valign="top" align="left">Initial</td>
<td valign="top" align="left">PM</td>
<td valign="top" align="left">Arestin</td>
</tr>
<tr>
<td valign="top" align="left">Reddy et al. (2016) (<xref ref-type="bibr" rid="B85">85</xref>)</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Parallel</td>
<td valign="top" align="left">Maintenance</td>
<td valign="top" align="left">PM&#x2014;1 site</td>
<td valign="top" align="left">Perio Col-TC</td>
</tr>
<tr>
<td valign="top" align="left">Singh et al. (2014) (<xref ref-type="bibr" rid="B86">86</xref>)</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Split</td>
<td valign="top" align="left">Initial</td>
<td valign="top" align="left">FM</td>
<td valign="top" align="left">Periodontal Plus AB</td>
</tr>
<tr>
<td valign="top" align="left">Soeroso et al. (2017) (<xref ref-type="bibr" rid="B87">87</xref>)</td>
<td valign="top" align="left">Open blind</td>
<td valign="top" align="left">Parallel</td>
<td valign="top" align="left">Initial</td>
<td valign="top" align="left">FM</td>
<td valign="top" align="left">Periocline</td>
</tr>
<tr>
<td valign="top" align="left">Sweatha et al. (2015) (<xref ref-type="bibr" rid="B88">88</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Split</td>
<td valign="top" align="left">Initial</td>
<td valign="top" align="left">PM&#x2014;4</td>
<td valign="top" align="left">Arestin</td>
</tr>
<tr>
<td valign="top" align="left">Tabenski et al. (2017) (<xref ref-type="bibr" rid="B89">89</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Parallel</td>
<td valign="top" align="left">Initial</td>
<td valign="top" align="left">PM&#x2014;4 teeth</td>
<td valign="top" align="left">Arestin</td>
</tr>
<tr>
<td valign="top" align="left">Timmerman et al. (1996) (<xref ref-type="bibr" rid="B90">90</xref>)</td>
<td valign="top" align="left">Double</td>
<td valign="top" align="left">Parallel</td>
<td valign="top" align="left">Initial</td>
<td valign="top" align="left">FM/PM&#x2014;4&#x2013;10 sites</td>
<td valign="top" align="left">Dentomycin</td>
</tr>
<tr>
<td valign="top" align="left">Tomasi et al. (2008);<break/>Tomasi and Wennstrom (2011) (<xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B59">59</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Parallel</td>
<td valign="top" align="left">Initial</td>
<td valign="top" align="left">FM/PM&#x2014;all furcation lesions</td>
<td valign="top" align="left">Atridox</td>
</tr>
<tr>
<td valign="top" align="left">Tonetti et al. (1998) (<xref ref-type="bibr" rid="B91">91</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Parallel</td>
<td valign="top" align="left">Maintenance</td>
<td valign="top" align="left">PM&#x2014;1 furcation lesion</td>
<td valign="top" align="left">Actisite</td>
</tr>
<tr>
<td valign="top" align="left">Tonetti et al. (2012) (<xref ref-type="bibr" rid="B92">92</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Parallel</td>
<td valign="top" align="left">Maintenance</td>
<td valign="top" align="left">FM&#x2014;PD &#x003E;3</td>
<td valign="top" align="left">Ligosan</td>
</tr>
<tr>
<td valign="top" align="left">Van Dyke et al. (2002) (<xref ref-type="bibr" rid="B93">93</xref>)</td>
<td valign="top" align="left">Double</td>
<td valign="top" align="left">Parallel</td>
<td valign="top" align="left">Initial</td>
<td valign="top" align="left">PM&#x2014;2 teeth</td>
<td valign="top" align="left">Arestin</td>
</tr>
<tr>
<td valign="top" align="left">Van Steenberghe et al. (1999) (<xref ref-type="bibr" rid="B94">94</xref>)</td>
<td valign="top" align="left">Double</td>
<td valign="top" align="left">Parallel</td>
<td valign="top" align="left">Initial</td>
<td valign="top" align="left">PM&#x2014;6 sites</td>
<td valign="top" align="left">Mino ointment</td>
</tr>
<tr>
<td valign="top" align="left">Williams et al. (2001) (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="left">Parallel</td>
<td valign="top" align="left">Initial</td>
<td valign="top" align="left">FM&#x2014;PD &#x003E;4</td>
<td valign="top" align="left">Arestin</td>
</tr>
<tr>
<td valign="top" align="left">Wong et al. (1998);<break/>Wong et al. (1999) (<xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B57">57</xref>)</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Split</td>
<td valign="top" align="left">Maintenance</td>
<td valign="top" align="left">PM&#x2014;1&#x2013;2 sites</td>
<td valign="top" align="left">Actisite</td>
</tr>
<tr>
<td valign="top" align="left">Zingale et al. (2012) (<xref ref-type="bibr" rid="B95">95</xref>)</td>
<td valign="top" align="left">Double</td>
<td valign="top" align="left">Split</td>
<td valign="top" align="left">Maintenance</td>
<td valign="top" align="left">PM&#x2014;1 Site</td>
<td valign="top" align="left">Arestin</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn2"><p>NR, not recorded; FM, full-mouth assessment; PM, partial-mouth assessment; PD, probing pocket depth.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The sample sizes of the studies included in this analysis exhibited considerable variability, with certain studies reporting sample sizes exceeding 100 (<italic>n</italic>&#x2009;&#x003D;&#x2009;10), all of which were multi-center investigations, and a few studies presenting sample sizes as low as 10 (<italic>n</italic>&#x2009;&#x003D;&#x2009;2), alongside others falling within intermediate ranges (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>). The majority of the studies provided data regarding the mean age and the age range of their respective cohorts, either for the aggregate group or based on the delineation of test/control groups. The percentage of female participants in the respective studies varied considerably, ranging from 31.3&#x0025; to 77.8&#x0025;. In terms of smoking status, 6 studies focused exclusively on non-smokers, 16 included both smokers and non-smokers, while 4 studies were conducted solely with smokers. The proportion of smokers in the mixed group varied from 4&#x0025; to 59&#x0025;. Notably, seventeen studies did not report the smoking status of their cohorts (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>).</p>
</sec>
<sec id="s3b2"><label>3.2.2</label><title>Patient recruitment, disease definition and criteria used to select treatment</title>
<p>The periodontal status of patients across different studies and the type of treatment administered (or not administered) prior to inclusion are presented in <xref ref-type="sec" rid="s10">Supplementary Table 3</xref>. The majority of the research has classified the disease condition as moderate to severe chronic periodontitis (<italic>n</italic>&#x2009;&#x003D;<sans-serif>&#x2009;31</sans-serif>), whereas a few described it only as chronic periodontitis or adult periodontitis (<xref ref-type="sec" rid="s10">Supplementary Table 4</xref>). Twenty-seven studies involved patients with initial disease, while 14 studies focused on maintenance patients (<xref ref-type="sec" rid="s10">Supplementary Table 1</xref>). Additionally, two studies have utilized both initial and maintenance patients. The majority of the research incorporated in this systematic review uses PPD&#x2009;&#x2265;<sans-serif>&#x2009;5</sans-serif> mm and BOP as criteria for assessing patients/sites, while merely four studies have considered sites with PPD of &#x2265;4&#x2005;mm (<xref ref-type="sec" rid="s10">Supplementary Table 4</xref>). Certain research has additionally employed different criteria, such as clinical attachment loss, bleeding on probing (BOP), and bone loss as alternative inclusion factors. Three studies focused solely on lesions with furcation involvement, while four studies explicitly stated that they did not include lesions exhibiting furcation involvement (<xref ref-type="sec" rid="s10">Supplementary Table 4</xref>).</p>
</sec>
<sec id="s3b3"><label>3.2.3</label><title>Assessment of clinical parameters</title>
<p>Ten investigations have assessed the full mouth (FM) to evaluate changes in clinical indices either by considering values from all sites or based on a clinical criterion (e.g., PPD &#x003E;4&#x2005;mm), while 30 studies adopted a partial (PM) approach where most utilized a limited number of sites ranging from 1 to 10, and 3 studies focused on furcation involved lesions (<xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B59">59</xref>, <xref ref-type="bibr" rid="B67">67</xref>) (<xref ref-type="sec" rid="s10">Supplementary Table 4</xref>). Three studies have utilized the FM and PM method (<xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B61">61</xref>, <xref ref-type="bibr" rid="B90">90</xref>). Twenty-two studies assessed 6 sites for each tooth, 4 studies examined 4 sites per tooth, and 9 studies evaluated 1&#x2013;3 sites per tooth. Conversely, 7 studies did not provide information on that (<xref ref-type="sec" rid="s10">Supplementary Table 5</xref>). Concerning the count of examiners in clinical evaluations, 15 studies utilized a single examiner, while 16 studies employed two or more examiners, and 12 studies did not disclose the number of examiners involved (<xref ref-type="sec" rid="s10">Supplementary Table 5</xref>). Twenty studies have trained their examiners, while 23 did not report on this. The research has utilized different kinds of probes from the first, second, and third generations to assess clinical indices. A total of thirty-one studies employed manual probes like the Williams (<italic>n</italic>&#x2009;&#x003D;&#x2009;2) and UNC-15 (<italic>n</italic>&#x2009;&#x003D;&#x2009;13), along with the Florida probe, recognized as a force-controlled and computer-assisted option (<italic>n</italic>&#x2009;&#x003D;&#x2009;9); however, 5 studies did not disclose the type of probe utilized. Ten studies utilized stents, while seven studies conducted duplicate measurements, and two studies employed both (<xref ref-type="sec" rid="s10">Supplementary Table 5</xref>). Five studies employed a site-based method, whereas 28 utilized a patient-based approach for data analysis. Two studies utilized both site and subject as the statistical unit, while 8 others did not provide that information (<xref ref-type="sec" rid="s10">Supplementary Table 5</xref>). Aside from clinical outcomes, 15 studies conducted microbiological analysis, while 5 studies examined biomarkers. Additional effects assessed encompassed both radiological and systemic results. Different approaches have been utilized to assess PI, GI, and BOP, with the most prevalent being the techniques developed by Silness and L&#x00F6;e; L&#x00F6;e and Silness (<xref ref-type="bibr" rid="B96">96</xref>, <xref ref-type="bibr" rid="B97">97</xref>) for measuring PI and GI, respectively (<xref ref-type="sec" rid="s10">Supplementary Table 6</xref>). BOP was predominantly recorded either dichotomously (presence/absence), by the Sulcus Bleeding Index of M&#x00FC;hlemann and Son (<xref ref-type="bibr" rid="B98">98</xref>), or by the Papillary Bleeding Index of M&#x00FC;hlemann (<xref ref-type="bibr" rid="B99">99</xref>). To ensure a consistent basis for our synthesis, only those studies employing the papillary bleeding index were included in the meta-analysis (<xref ref-type="sec" rid="s10">Supplementary Table 6</xref>).</p>
</sec>
<sec id="s3b4"><label>3.2.4</label><title>Pre-intervention measures</title>
<p>The individuals participating in the studies were either initial patients or those in maintenance with chronic periodontitis. Patients in maintenance received supportive periodontal therapy every 3&#x2013;6 months. Consequently, the patients in most studies did not receive any periodontal treatment in the past 3&#x2013;6 months. Following the recruitment of patients, the majority of the studies provided oral hygiene instructions (OHI) (<italic>n</italic>&#x2009;&#x003D;&#x2009;31), which were reinforced during later patient appointments. Numerous studies have provided either full mouth SRP (FMSRP) to patients (<italic>n</italic>&#x2009;&#x003D;&#x2009;2) or supragingival mechanical plaque removal (<italic>n</italic>&#x2009;&#x003D;&#x2009;8), while other research has administered Supportive Periodontal Therapy (SPT) at various time points (<italic>n</italic>&#x2009;&#x003D;&#x2009;4) (<xref ref-type="sec" rid="s10">Supplementary Table 3</xref>). Additionally, 10 studies failed to disclose any interventions prior to the application of test products. One study has explicitly noted that they did not provide OHI (<xref ref-type="bibr" rid="B71">71</xref>). A limited number of studies have offered specific guidelines, such as refraining from brushing the treated area (<italic>n</italic>&#x2009;&#x003D;&#x2009;14) and avoiding hard and sticky foods from the treated sites (<italic>n</italic>&#x2009;&#x003D;&#x2009;5). Three studies have explicitly stated that patients were instructed to avoid mouthwashes or irrigation devices (<xref ref-type="bibr" rid="B65">65</xref>, <xref ref-type="bibr" rid="B73">73</xref>, <xref ref-type="bibr" rid="B94">94</xref>), while other studies have recommended that patients utilize 0.1&#x0025;&#x2013;0.2&#x0025; chlorhexidine mouthwash for a duration ranging from 5 days to 1 month (<italic>n</italic>&#x2009;&#x003D;&#x2009;8) (<xref ref-type="sec" rid="s10">Supplementary Table 3</xref>).</p>
</sec>
<sec id="s3b5"><label>3.2.5</label><title>Mechanical debridement by SRP</title>
<p>Prior to the adjunct application, 22 studies conducted FMSRP, while 19 studies performed SRP on localized sites, and 2 studies did not specify the type of SRP administered (<xref ref-type="sec" rid="s10">Supplementary Table 3</xref>). Fourteen studies have provided local anesthesia prior to mechanical debridement, while 6 studies offered it if patients requested. One research explicitly stated that local anesthesia was not utilized (<xref ref-type="bibr" rid="B81">81</xref>), whereas the other studies did not mention its use (<italic>n</italic>&#x2009;&#x003D;&#x2009;22) (<xref ref-type="sec" rid="s10">Supplementary Table 7</xref>). The majority of the research involved one operator conducting the mechanical debridement (<italic>n</italic>&#x2009;&#x003D;&#x2009;13), while six studies utilized 2&#x2013;3 operators, and in other studies, the number of operators varied based on the number of centers (<italic>n</italic>&#x2009;&#x003D;&#x2009;4). Limited research has indicated the type of operator being either a dentist/periodontist (<italic>n</italic>&#x2009;&#x003D;&#x2009;6) or a dental hygienist (<italic>n</italic>&#x2009;&#x003D;&#x2009;4), while the majority of studies failed to disclose that information (<italic>n</italic>&#x2009;&#x003D;&#x2009;32). A few studies reported the duration of debridement, which was 1&#x2013;1.5&#x2005;h for full-mouth debridement (<italic>n</italic>&#x2009;&#x003D;&#x2009;2), 15&#x2013;45&#x2005;min for a quadrant (<italic>n</italic>&#x2009;&#x003D;&#x2009;3), and 5&#x2013;10&#x2005;min per tooth (<italic>n</italic>&#x2009;&#x003D;&#x2009;7). Eight studies conducted debridement without any time limitations, and 23 studies did not report the time limit. Nine studies have conducted SRP utilizing both hand and ultrasonic scalers, while four conducted hand scaling exclusively, and three performed SRP using only ultrasonic instruments (<xref ref-type="sec" rid="s10">Supplementary Table 7</xref>).</p>
</sec>
<sec id="s3b6"><label>3.2.6</label><title>Application of test product and control groups</title>
<p>The current systematic review incorporated studies that utilized three varieties of tetracyclines: tetracycline, doxycycline, and minocycline, each administered in various formulations (<xref ref-type="table" rid="T2">Table&#x00A0;2</xref>). Research that incorporated tetracycline as an adjunct included Actisite (<italic>n</italic>&#x2009;&#x003D;&#x2009;10), Periodontal Plus AB (<italic>n</italic>&#x2009;&#x003D;&#x2009;1), and PerioCol-TC (<italic>n</italic>&#x2009;&#x003D;&#x2009;1), all offered in fiber form, while Aureomycin (<italic>n</italic>&#x2009;&#x003D;&#x2009;1) was available as an ointment. Additionally, research has utilized tetracycline strips where Doxycycline was administered in gel form in Atridox (<italic>n</italic>&#x2009;&#x003D;&#x2009;7) and Ligosan (<italic>n</italic>&#x2009;&#x003D;&#x2009;3). Research that employed minocycline was found in Arestin (<italic>n</italic>&#x2009;&#x003D;&#x2009;14), Dentomycin (<italic>n</italic>&#x2009;&#x003D;&#x2009;3), Periocline (<italic>n</italic>&#x2009;&#x003D;&#x2009;1), and Minocin (<italic>n</italic>&#x2009;&#x003D;&#x2009;1). Minocycline ointment (<italic>n</italic>&#x2009;&#x003D;&#x2009;1) has also been utilized by certain researchers which was not available in the market (<xref ref-type="sec" rid="s10">Supplementary Table 2</xref>). In four studies, the agent was administered prior to an SRP procedure: one study (<xref ref-type="bibr" rid="B91">91</xref>) administered the agent on the day of fiber placement before the SRP, while three studies (<xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B69">69</xref>) administered the agent one week after the initial SRP. In contrast, all other studies (<italic>n</italic>&#x2009;&#x003D;&#x2009;39) administered the test agent at baseline following the SRP procedure (<xref ref-type="sec" rid="s10">Supplementary Table 8</xref>).</p>
<p>Regardless of the agent, the majority of studies have utilized the agent just once (<italic>n</italic>&#x2009;&#x003D;&#x2009;29), while a small number have used it 2&#x2013;4 times (<italic>n</italic>&#x2009;&#x003D;&#x2009;12), and two studies have employed the agent seven times (<xref ref-type="bibr" rid="B90">90</xref>, <xref ref-type="bibr" rid="B94">94</xref>). In 12 studies, a dressing was used to avoid the dislodgement of the test product or to prevent spill-over, utilizing cyanoacrylate or a periodontal dressing for 3&#x2013;13 days, with 9 studies documenting the dislodgement records (<xref ref-type="sec" rid="s10">Supplementary Table 8</xref>). Concerning the control groups, most of the studies utilized SRP alone (<italic>n</italic>&#x2009;&#x003D;&#x2009;37), while five studies applied either SRP&#x2009;&#x002B;<sans-serif>&#x2009;vehicle</sans-serif> or SRP&#x2009;&#x002B;<sans-serif>&#x2009;placebo</sans-serif>. In comparison, three studies have utilized two controls: SRP only and SRP combined with a vehicle. Notably, a study that employed SRP exclusively included 2 control sites, with one adjacent to the test sites and another positioned in a different quadrant, considered as remote sites (<xref ref-type="bibr" rid="B73">73</xref>). Seven studies (<italic>n</italic>&#x2009;&#x003D;&#x2009;7) utilized an untreated group as a control, while two studies included placebo control groups (<xref ref-type="sec" rid="s10">Supplementary Table 2</xref>).</p>
</sec>
<sec id="s3b7"><label>3.2.7</label><title>Quality assessment of the studies</title>
<p>Quality criteria for most studies were either unmet or unclear, indicating a high risk of bias (<xref ref-type="sec" rid="s10">Supplementary Table 9</xref>). Random sequence generation (selection bias) was judged at low risk of bias in 14 studies (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B58">58</xref>&#x2013;<xref ref-type="bibr" rid="B62">62</xref>, <xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B67">67</xref>, <xref ref-type="bibr" rid="B70">70</xref>, <xref ref-type="bibr" rid="B71">71</xref>, <xref ref-type="bibr" rid="B82">82</xref>, <xref ref-type="bibr" rid="B83">83</xref>, <xref ref-type="bibr" rid="B89">89</xref>, <xref ref-type="bibr" rid="B92">92</xref>, <xref ref-type="bibr" rid="B94">94</xref>) because of the use of a computer-generated random sequence prepared by an independent researcher, distinct from recruitment and treatment. While 28 studies (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B63">63</xref>&#x2013;<xref ref-type="bibr" rid="B65">65</xref>, <xref ref-type="bibr" rid="B68">68</xref>, <xref ref-type="bibr" rid="B69">69</xref>, <xref ref-type="bibr" rid="B73">73</xref>&#x2013;<xref ref-type="bibr" rid="B81">81</xref>, <xref ref-type="bibr" rid="B84">84</xref>&#x2013;<xref ref-type="bibr" rid="B88">88</xref>, <xref ref-type="bibr" rid="B90">90</xref>, <xref ref-type="bibr" rid="B91">91</xref>, <xref ref-type="bibr" rid="B93">93</xref>, <xref ref-type="bibr" rid="B95">95</xref>) were unclear, one study (<xref ref-type="bibr" rid="B72">72</xref>) was high as the randomization performed by the treating clinician in a way that could be foreseen.</p>
<p>Allocation concealment (selection bias) was low risk in 5 studies (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B59">59</xref>, <xref ref-type="bibr" rid="B92">92</xref>, <xref ref-type="bibr" rid="B94">94</xref>) because of sequentially numbered, opaque, sealed envelopes and visually indistinguishable devices prepared off-site or by a third party, and high in 15 studies (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B65">65</xref>, <xref ref-type="bibr" rid="B68">68</xref>, <xref ref-type="bibr" rid="B72">72</xref>, <xref ref-type="bibr" rid="B74">74</xref>&#x2013;<xref ref-type="bibr" rid="B76">76</xref>, <xref ref-type="bibr" rid="B87">87</xref>&#x2013;<xref ref-type="bibr" rid="B90">90</xref>, <xref ref-type="bibr" rid="B93">93</xref>) because of open lists. Twenty-three studies were unclear on how they concealed allocation (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B60">60</xref>&#x2013;<xref ref-type="bibr" rid="B64">64</xref>, <xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B69">69</xref>&#x2013;<xref ref-type="bibr" rid="B71">71</xref>, <xref ref-type="bibr" rid="B73">73</xref>, <xref ref-type="bibr" rid="B77">77</xref>&#x2013;<xref ref-type="bibr" rid="B81">81</xref>, <xref ref-type="bibr" rid="B84">84</xref>, <xref ref-type="bibr" rid="B95">95</xref>).</p>
<p>Performance bias (blinding of participants and personnel) was low in 11 studies (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B67">67</xref>, <xref ref-type="bibr" rid="B73">73</xref>, <xref ref-type="bibr" rid="B75">75</xref>, <xref ref-type="bibr" rid="B76">76</xref>, <xref ref-type="bibr" rid="B90">90</xref>, <xref ref-type="bibr" rid="B93">93</xref>&#x2013;<xref ref-type="bibr" rid="B95">95</xref>) because of a double-blind setup and documented blinding procedure, and high in 5 (<xref ref-type="bibr" rid="B64">64</xref>, <xref ref-type="bibr" rid="B72">72</xref>, <xref ref-type="bibr" rid="B76">76</xref>, <xref ref-type="bibr" rid="B87">87</xref>, <xref ref-type="bibr" rid="B88">88</xref>) studies due to the absence of blinding. Meanwhile, 27 studies were unclear about the blinding procedure (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B60">60</xref>&#x2013;<xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B69">69</xref>&#x2013;<xref ref-type="bibr" rid="B72">72</xref>, <xref ref-type="bibr" rid="B74">74</xref>, <xref ref-type="bibr" rid="B77">77</xref>&#x2013;<xref ref-type="bibr" rid="B81">81</xref>, <xref ref-type="bibr" rid="B84">84</xref>&#x2013;<xref ref-type="bibr" rid="B88">88</xref>).</p>
<p>Detection bias (blinding of outcome assessment) was low risk in 12 studies due to factors such as clinical outcomes (PPD, CAL) measured by an examiner blinded to allocation, controlled probing force, or use of electronic probes; reporting examiner calibration, and consistent measurement protocols and time points (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B63">63</xref>, <xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B78">78</xref>, <xref ref-type="bibr" rid="B82">82</xref>, <xref ref-type="bibr" rid="B83">83</xref>, <xref ref-type="bibr" rid="B91">91</xref>, <xref ref-type="bibr" rid="B95">95</xref>), and 3 were high due to unblinded outcome assessment (<xref ref-type="bibr" rid="B63">63</xref>, <xref ref-type="bibr" rid="B72">72</xref>, <xref ref-type="bibr" rid="B88">88</xref>). The remaining 28 studies were unclear on detection bias (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B60">60</xref>&#x2013;<xref ref-type="bibr" rid="B62">62</xref>, <xref ref-type="bibr" rid="B64">64</xref>, <xref ref-type="bibr" rid="B65">65</xref>, <xref ref-type="bibr" rid="B67">67</xref>&#x2013;<xref ref-type="bibr" rid="B77">77</xref>, <xref ref-type="bibr" rid="B79">79</xref>&#x2013;<xref ref-type="bibr" rid="B81">81</xref>, <xref ref-type="bibr" rid="B84">84</xref>&#x2013;<xref ref-type="bibr" rid="B87">87</xref>, <xref ref-type="bibr" rid="B90">90</xref>).</p>
<p>Attrition bias (incomplete outcome data) was judged low risk in 14 studies, typically where attrition was balanced between groups, reasons for dropout were reported, and appropriate handling of missing data was conducted (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B52">52</xref>&#x2013;<xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B65">65</xref>, <xref ref-type="bibr" rid="B68">68</xref>, <xref ref-type="bibr" rid="B70">70</xref>, <xref ref-type="bibr" rid="B73">73</xref>, <xref ref-type="bibr" rid="B82">82</xref>, <xref ref-type="bibr" rid="B83">83</xref>, <xref ref-type="bibr" rid="B86">86</xref>, <xref ref-type="bibr" rid="B87">87</xref>, <xref ref-type="bibr" rid="B90">90</xref>, <xref ref-type="bibr" rid="B92">92</xref>). It was unclear in 25 studies because studies did not describe how missing data were handled (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B60">60</xref>&#x2013;<xref ref-type="bibr" rid="B67">67</xref>, <xref ref-type="bibr" rid="B69">69</xref>, <xref ref-type="bibr" rid="B71">71</xref>, <xref ref-type="bibr" rid="B72">72</xref>, <xref ref-type="bibr" rid="B74">74</xref>, <xref ref-type="bibr" rid="B76">76</xref>&#x2013;<xref ref-type="bibr" rid="B81">81</xref>, <xref ref-type="bibr" rid="B84">84</xref>, <xref ref-type="bibr" rid="B85">85</xref>, <xref ref-type="bibr" rid="B88">88</xref>, <xref ref-type="bibr" rid="B91">91</xref>, <xref ref-type="bibr" rid="B95">95</xref>), and high in 4 (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B72">72</xref>, <xref ref-type="bibr" rid="B75">75</xref>, <xref ref-type="bibr" rid="B87">87</xref>).</p>
<p>Reporting bias (selective reporting) was low in 17 studies that reported all pre-specified outcomes (PPD/CAL as primary; BOP/PI/GI and adverse events as secondary) at stated time-points with complete summary statistics (means and variance) and adverse events (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B56">56</xref>&#x2013;<xref ref-type="bibr" rid="B63">63</xref>, <xref ref-type="bibr" rid="B67">67</xref>, <xref ref-type="bibr" rid="B70">70</xref>, <xref ref-type="bibr" rid="B76">76</xref>, <xref ref-type="bibr" rid="B77">77</xref>, <xref ref-type="bibr" rid="B81">81</xref>&#x2013;<xref ref-type="bibr" rid="B83">83</xref>, <xref ref-type="bibr" rid="B89">89</xref>, <xref ref-type="bibr" rid="B93">93</xref>, <xref ref-type="bibr" rid="B94">94</xref>). It was unclear in 24 studies where no protocol/registration was available, the pre-specification of outcomes/time-points was not explicit, or results were presented partially unclear (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B64">64</xref>&#x2013;<xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B69">69</xref>, <xref ref-type="bibr" rid="B71">71</xref>&#x2013;<xref ref-type="bibr" rid="B75">75</xref>, <xref ref-type="bibr" rid="B78">78</xref>&#x2013;<xref ref-type="bibr" rid="B80">80</xref>, <xref ref-type="bibr" rid="B84">84</xref>&#x2013;<xref ref-type="bibr" rid="B88">88</xref>, <xref ref-type="bibr" rid="B90">90</xref>, <xref ref-type="bibr" rid="B91">91</xref>, <xref ref-type="bibr" rid="B95">95</xref>). Two studies were high risk, showing clear discordance between Methods and Results&#x2014;omitting pre-specified primary outcomes or time-points (<xref ref-type="bibr" rid="B72">72</xref>, <xref ref-type="bibr" rid="B89">89</xref>).</p>
</sec>
<sec id="s3b8"><label>3.2.8</label><title>Outcomes with significant differences of studies</title>
<p>Of the 43 studies, 21 indicated a statistically significant reduction in PPD, 14 revealed a notable difference in CAL gain, and 5 showed a significant reduction in BOP. Moreover, 4 and 2 studies showed a significant difference in the decrease of GI and PI, respectively. Conversely, 18 studies failed to show any significant difference (<xref ref-type="sec" rid="s10">Supplementary Table 10</xref>).</p>
</sec>
<sec id="s3b9"><label>3.2.9</label><title>Occurrence of adverse effects</title>
<p>Only a few studies reported adverse effects with the use of local antimicrobials. They included gingival redness, gingival tingling, headache, rhinitis, inflammation, periodontal abscesses, root sensitivity, caries, taste disturbances, tongue pigmentation, gingivitis, and stomatitis (<xref ref-type="sec" rid="s10">Supplementary Table 10</xref>).</p>
</sec>
</sec>
<sec id="s3c"><label>3.3</label><title>Meta-analysis&#x2014;efficacy of the tested adjunctive local antimicrobials</title>
<sec id="s3c1"><label>3.3.1</label><title>Meta-analysis results by primary and secondary outcomes</title>
<p>Results are presented separately for each parameter and timeframe, focusing on significant effects of study design (split-mouth vs. parallel), population (initial vs. maintenance phase), assessment type (full-mouth vs. partial-mouth), and smoking status (smokers vs. non-smokers). The findings highlight the influence of these moderators on treatment outcomes.</p>
<sec id="s3c1a"><label>3.3.1.1</label><title>Probing pocket depth (PPD)</title>
<p>For medium-term studies (6&#x2013;9 months), a meta-analysis of 42 comparisons involving 1,995 control and 2,040 test patients revealed a significant PPD reduction favoring test groups [WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.516, 95&#x0025; CI (0.413; 0.620), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001], with substantial heterogeneity (<italic>I</italic>&#x00B2;&#x2009;&#x003D;<sans-serif>&#x2009;72</sans-serif>.39&#x0025;, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001) (<xref ref-type="table" rid="T3">Table&#x00A0;3</xref>; <xref ref-type="sec" rid="s10">Supplementary Figure 1A</xref>). Significant differences (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) were observed across study designs, with split-mouth studies showing a larger effect [<italic>n</italic>&#x2009;&#x003D;&#x2009;13, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.819, 95&#x0025; CI (0.622; 1.016), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001] than parallel studies [<italic>n</italic>&#x2009;&#x003D;&#x2009;29, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.391, 95&#x0025; CI (0.303; 0.480), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001]. Partial-mouth assessments yielded a higher WMD [<italic>n</italic>&#x2009;&#x003D;&#x2009;32, 0.573, 95&#x0025; CI (0.469; 0.677), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001] than full-mouth assessments [<italic>n</italic>&#x2009;&#x003D;&#x2009;10, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.433, 95&#x0025; CI (0.184; 0.682), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0007]. Patients in both initial and maintenance phase of treatment showed similar effect on the PPD reduction, where initial phase showed a reduction of 0.524&#x2005;mm [<italic>n</italic>&#x2009;&#x003D;&#x2009;31, 95&#x0025; CI (0.393; 0.655), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001] and maintenance phase with a reduction of 0.559&#x2005;mm [<italic>n</italic>&#x2009;&#x003D;&#x2009;9, 95&#x0025; CI (0.393; 0.725), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001]. Non-smokers showed significant effects [<italic>n</italic>&#x2009;&#x003D;&#x2009;7, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.694, 95&#x0025; CI (0.472; 0.917), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001] similar to smokers [<italic>n</italic>&#x2009;&#x003D;&#x2009;2, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.709, 95&#x0025; CI (0.205; 1.213), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0058] (<xref ref-type="table" rid="T3">Table&#x00A0;3</xref>).</p>
<table-wrap id="T3" position="float"><label>Table 3</label>
<caption><p>Meta-analyses and meta-regression for probing pocket depth (PPD) changes.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<tbody>
<tr>
<th valign="top" align="left" colspan="10">(a) Medium-term Studies (6&#x2013;9 months)</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center" colspan="3">Number of</th>
<th valign="top" align="center" colspan="4">Weighted mean difference (WMD)</th>
<th valign="top" align="center" colspan="2">Heterogeneity</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="center" colspan="2">Patients</th>
<th valign="top" align="left"/>
<th valign="top" align="center" colspan="3">95&#x0025; CI</th>
<th valign="top" align="center" colspan="2"/>
</tr>
<tr>
<th valign="top" align="left">6&#x2013;9 months</th>
<th valign="top" align="center">Studies</th>
<th valign="top" align="center">Control</th>
<th valign="top" align="center">Test</th>
<th valign="top" align="center">WMD</th>
<th valign="top" align="center">Lower</th>
<th valign="top" align="center">Upper</th>
<th valign="top" align="center"><italic>p</italic>-value</th>
<th valign="top" align="center">I2 (&#x0025;)</th>
<th valign="top" align="center"><italic>p</italic>-value</th>
</tr>
<tr>
<td valign="top" align="left">All</td>
<td valign="top">42</td>
<td valign="top">1,995</td>
<td valign="top">2,040</td>
<td valign="top">0.516</td>
<td valign="top">0.413</td>
<td valign="top">0.62</td>
<td valign="top">0.0001</td>
<td valign="top">72.39&#x0025;</td>
<td valign="top">0.0001</td>
</tr>
<tr>
<td valign="top">Parallel</td>
<td valign="top">29</td>
<td valign="top">1,478</td>
<td valign="top">1,523</td>
<td valign="top">0.391</td>
<td valign="top">0.303</td>
<td valign="top">0.48</td>
<td valign="top">0.0001</td>
<td valign="top">67.05&#x0025;</td>
<td valign="top">0.0001</td>
</tr>
<tr>
<td valign="top">Split</td>
<td valign="top">13</td>
<td valign="top">517</td>
<td valign="top">517</td>
<td valign="top">0.819</td>
<td valign="top">0.622</td>
<td valign="top">1.016</td>
<td valign="top">0.0001</td>
<td valign="top">50.13&#x0025;</td>
<td valign="top">0.0199</td>
</tr>
<tr>
<td valign="top">FM</td>
<td valign="top">10</td>
<td valign="top">1,058</td>
<td valign="top">1,095</td>
<td valign="top">0.433</td>
<td valign="top">0.184</td>
<td valign="top">0.682</td>
<td valign="top">0.0007</td>
<td valign="top">79.50&#x0025;</td>
<td valign="top">0.0001</td>
</tr>
<tr>
<td valign="top">PM</td>
<td valign="top">32</td>
<td valign="top">937</td>
<td valign="top">945</td>
<td valign="top">0.573</td>
<td valign="top">0.469</td>
<td valign="top">0.677</td>
<td valign="top">0.0001</td>
<td valign="top">49.01&#x0025;</td>
<td valign="top">0.0011</td>
</tr>
<tr>
<td valign="top">Initial</td>
<td valign="top">31</td>
<td valign="top">1,462</td>
<td valign="top">1,511</td>
<td valign="top">0.524</td>
<td valign="top">0.393</td>
<td valign="top">0.655</td>
<td valign="top">0.0001</td>
<td valign="top">77.93&#x0025;</td>
<td valign="top">0.0001</td>
</tr>
<tr>
<td valign="top">Maintenance</td>
<td valign="top">9</td>
<td valign="top">317</td>
<td valign="top">313</td>
<td valign="top">0.559</td>
<td valign="top">0.393</td>
<td valign="top">0.725</td>
<td valign="top">0.0001</td>
<td valign="top">2.28&#x0025;</td>
<td valign="top">0.4150</td>
</tr>
<tr>
<td valign="top">SM</td>
<td valign="top">2</td>
<td valign="top">41</td>
<td valign="top">42</td>
<td valign="top">0.709</td>
<td valign="top">0.205</td>
<td valign="top">1.213</td>
<td valign="top">0.0058</td>
<td valign="top">71.89&#x0025;</td>
<td valign="top">0.0593</td>
</tr>
<tr>
<td valign="top">NS</td>
<td valign="top">7</td>
<td valign="top">117</td>
<td valign="top">117</td>
<td valign="top">0.694</td>
<td valign="top">0.472</td>
<td valign="top">0.917</td>
<td valign="top">0.0001</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.4690</td>
</tr>
<tr>
<td valign="top" colspan="10">Type of tetracycline</td>
</tr>
<tr>
<td valign="top">Tetracycline</td>
<td valign="top">8</td>
<td valign="top">303</td>
<td valign="top">305</td>
<td valign="top">0.740</td>
<td valign="top">0.401</td>
<td valign="top">1.079</td>
<td valign="top">0.0001</td>
<td valign="top">68.25&#x0025;</td>
<td valign="top">0.0025</td>
</tr>
<tr>
<td valign="top">Doxycycline</td>
<td valign="top">7</td>
<td valign="top">306</td>
<td valign="top">309</td>
<td valign="top">0.454</td>
<td valign="top">0.209</td>
<td valign="top">0.698</td>
<td valign="top">0.0003</td>
<td valign="top">48.07&#x0025;</td>
<td valign="top">0.0727</td>
</tr>
<tr>
<td valign="top">Minocycline</td>
<td valign="top">27</td>
<td valign="top">1,386</td>
<td valign="top">1,426</td>
<td valign="top">0.460</td>
<td valign="top">0.354</td>
<td valign="top">0.565</td>
<td valign="top">0.0001</td>
<td valign="top">73.39&#x0025;</td>
<td valign="top">0.0001</td>
</tr>
<tr>
<td valign="top" colspan="10">Test product</td>
</tr>
<tr>
<td valign="top">Actisite</td>
<td valign="top">5</td>
<td valign="top">234</td>
<td valign="top">236</td>
<td valign="top">0.705</td>
<td valign="top">0.503</td>
<td valign="top">0.907</td>
<td valign="top">0.0001</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.9520</td>
</tr>
<tr>
<td valign="top">Arestin</td>
<td valign="top">17</td>
<td valign="top">1,154</td>
<td valign="top">1,190</td>
<td valign="top">0.406</td>
<td valign="top">0.279</td>
<td valign="top">0.534</td>
<td valign="top">0.0001</td>
<td valign="top">63.20&#x0025;</td>
<td valign="top">0.0002</td>
</tr>
<tr>
<td valign="top">Atridox</td>
<td valign="top">4</td>
<td valign="top">70</td>
<td valign="top">77</td>
<td valign="top">0.446</td>
<td valign="top">0.029</td>
<td valign="top">0.862</td>
<td valign="top">0.0359</td>
<td valign="top">65.54&#x0025;</td>
<td valign="top">0.0335</td>
</tr>
<tr>
<td valign="top">Dentomycin</td>
<td valign="top">5</td>
<td valign="top">66</td>
<td valign="top">67</td>
<td valign="top">0.581</td>
<td valign="top">0.265</td>
<td valign="top">0.896</td>
<td valign="top">0.0003</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.5280</td>
</tr>
<tr>
<td valign="top">Ligosan</td>
<td valign="top">3</td>
<td valign="top">236</td>
<td valign="top">232</td>
<td valign="top">0.518</td>
<td valign="top">0.251</td>
<td valign="top">0.784</td>
<td valign="top">0.0001</td>
<td valign="top">3.90&#x0025;</td>
<td valign="top">0.3530</td>
</tr>
<tr>
<td valign="top">Mino ointment</td>
<td valign="top">4</td>
<td valign="top">160</td>
<td valign="top">158</td>
<td valign="top">0.580</td>
<td valign="top">0.345</td>
<td valign="top">0.814</td>
<td valign="top">0.0001</td>
<td valign="top">86.74&#x0025;</td>
<td valign="top">0.0001</td>
</tr>
<tr>
<th valign="top" colspan="10">Meta-regression</th>
</tr>
<tr>
<th valign="top" colspan="2"/>
<th valign="top" colspan="2"/>
<th valign="top" align="center" colspan="6">95&#x0025; CI</th>
</tr>
<tr>
<th valign="top" colspan="2">Moderator</th>
<th valign="top" align="center" colspan="2"><italic>&#x03B2;</italic> coefficient</th>
<th valign="top" align="center" colspan="2">Lower</th>
<th valign="top" align="center" colspan="2">Upper</th>
<th valign="top" align="center" colspan="2"><italic>p</italic>-value</th>
</tr>
<tr>
<td valign="top" colspan="2">Split/parallel-mouth</td>
<td valign="top" colspan="2">0.422</td>
<td valign="top" colspan="2">0.231</td>
<td valign="top" colspan="2">0.613</td>
<td valign="top" colspan="2">0.0001</td>
</tr>
<tr>
<td valign="top" colspan="2">Full/partial-mouth</td>
<td valign="top" colspan="2">0.182</td>
<td valign="top" colspan="2">&#x2212;0.021</td>
<td valign="top" colspan="2">0.384</td>
<td valign="top" colspan="2">0.0795</td>
</tr>
<tr>
<td valign="top" colspan="2">Initial/maintenance</td>
<td valign="top" colspan="2">&#x2212;0.004</td>
<td valign="top" colspan="2">&#x2212;0.282</td>
<td valign="top" colspan="2">0.274</td>
<td valign="top" colspan="2">0.9760</td>
</tr>
<tr>
<td valign="top" colspan="2">Smoking/non-smoking</td>
<td valign="top" colspan="2">0.068</td>
<td valign="top" colspan="2">&#x2212;0.355</td>
<td valign="top" colspan="2">0.490</td>
<td valign="top" colspan="2">0.7530</td>
</tr>
<tr>
<th valign="top" colspan="10">(b) Long-term studies (12&#x2009;&#x002B;<sans-serif>&#x2009;months</sans-serif>)</th>
</tr>
<tr>
<th valign="top"/>
<th valign="top" colspan="3">Number of</th>
<th valign="top" colspan="4">Weighted mean difference (WMD)</th>
<th valign="top" colspan="2">Heterogeneity</th>
</tr>
<tr>
<th valign="top"/>
<th valign="top"/>
<th valign="top" colspan="2">Patients</th>
<th valign="top"/>
<th valign="top" colspan="3">95&#x0025; CI</th>
<th valign="top"/>
<th valign="top"/>
</tr>
<tr>
<th valign="top" align="center">12&#x2009;&#x002B;&#x2009;months</th>
<th valign="top" align="center">Studies</th>
<th valign="top" align="center">Control</th>
<th valign="top" align="center">Test</th>
<th valign="top" align="center">WMD</th>
<th valign="top" align="center"/>
<th valign="top" align="center">Lower</th>
<th valign="top" align="center">Upper</th>
<th valign="top" align="center"><italic>p</italic>-value</th>
<th valign="top" align="center">I2 (&#x0025;)</th>
</tr>
<tr>
<td valign="top">All</td>
<td valign="top">21</td>
<td valign="top">530</td>
<td valign="top">535</td>
<td valign="top">0.371</td>
<td valign="top">0.181</td>
<td valign="top">0.56</td>
<td valign="top">0.0001</td>
<td valign="top">74.43&#x0025;</td>
<td valign="top">0.0001</td>
</tr>
<tr>
<td valign="top">Parallel</td>
<td valign="top">20</td>
<td valign="top">511</td>
<td valign="top">516</td>
<td valign="top">0.348</td>
<td valign="top">0.153</td>
<td valign="top">0.542</td>
<td valign="top">0.0005</td>
<td valign="top">75.29&#x0025;</td>
<td valign="top">0.0001</td>
</tr>
<tr>
<td valign="top">Split</td>
<td valign="top">1</td>
<td valign="top">19</td>
<td valign="top">19</td>
<td valign="top">0.850</td>
<td valign="top">0.245</td>
<td valign="top">1.455</td>
<td valign="top">0.0059</td>
<td valign="top">N/A</td>
<td valign="top">NA</td>
</tr>
<tr>
<td valign="top">FM</td>
<td valign="top">3</td>
<td valign="top">151</td>
<td valign="top">148</td>
<td valign="top">0.034</td>
<td valign="top">&#x2212;0.143</td>
<td valign="top">0.21</td>
<td valign="top">0.7080</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.5740</td>
</tr>
<tr>
<td valign="top">PM</td>
<td valign="top">18</td>
<td valign="top">379</td>
<td valign="top">387</td>
<td valign="top">0.444</td>
<td valign="top">0.236</td>
<td valign="top">0.651</td>
<td valign="top">0.0001</td>
<td valign="top">64.39&#x0025;</td>
<td valign="top">0.0001</td>
</tr>
<tr>
<td valign="top">Initial</td>
<td valign="top">14</td>
<td valign="top">297</td>
<td valign="top">315</td>
<td valign="top">0.498</td>
<td valign="top">0.272</td>
<td valign="top">0.723</td>
<td valign="top">0.0001</td>
<td valign="top">63.09&#x0025;</td>
<td valign="top">0.0008</td>
</tr>
<tr>
<td valign="top">Maintenance</td>
<td valign="top">7</td>
<td valign="top">233</td>
<td valign="top">220</td>
<td valign="top">0.179</td>
<td valign="top">&#x2212;0.082</td>
<td valign="top">0.44</td>
<td valign="top">0.1800</td>
<td valign="top">62.53&#x0025;</td>
<td valign="top">0.0137</td>
</tr>
<tr>
<td valign="top">SM</td>
<td valign="top">4</td>
<td valign="top">55</td>
<td valign="top">70</td>
<td valign="top">0.112</td>
<td valign="top">&#x2212;0.193</td>
<td valign="top">0.418</td>
<td valign="top">0.4720</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.4420</td>
</tr>
<tr>
<td valign="top">NS</td>
<td valign="top">4</td>
<td valign="top">61</td>
<td valign="top">61</td>
<td valign="top">0.630</td>
<td valign="top">0.145</td>
<td valign="top">1.115</td>
<td valign="top">0.0109</td>
<td valign="top">18.93&#x0025;</td>
<td valign="top">0.2960</td>
</tr>
<tr>
<td valign="top" colspan="10">Type of tetracycline</td>
</tr>
<tr>
<td valign="top">Tetracycline</td>
<td valign="top">3</td>
<td valign="top">58</td>
<td valign="top">61</td>
<td valign="top">0.427</td>
<td valign="top">&#x2212;0.007</td>
<td valign="top">0.860</td>
<td valign="top">0.0538</td>
<td valign="top">34.05&#x0025;</td>
<td valign="top">0.2200</td>
</tr>
<tr>
<td valign="top">Doxycycline</td>
<td valign="top">8</td>
<td valign="top">226</td>
<td valign="top">231</td>
<td valign="top">0.143</td>
<td valign="top">&#x2212;0.058</td>
<td valign="top">0.344</td>
<td valign="top">0.1620</td>
<td valign="top">38.27&#x0025;</td>
<td valign="top">0.1240</td>
</tr>
<tr>
<td valign="top">Minocycline</td>
<td valign="top">10</td>
<td valign="top">246</td>
<td valign="top">243</td>
<td valign="top">0.580</td>
<td valign="top">0.283</td>
<td valign="top">0.876</td>
<td valign="top">0.0001</td>
<td valign="top">72.79&#x0025;</td>
<td valign="top">0.0001</td>
</tr>
<tr>
<td valign="top" colspan="10">Test Product</td>
</tr>
<tr>
<td valign="top">Actisite</td>
<td valign="top">2</td>
<td valign="top">42</td>
<td valign="top">45</td>
<td valign="top">0.554</td>
<td valign="top">0.017</td>
<td valign="top">1.091</td>
<td valign="top">0.0434</td>
<td valign="top">44.74&#x0025;</td>
<td valign="top">0.1790</td>
</tr>
<tr>
<td valign="top">Arestin</td>
<td valign="top">3</td>
<td valign="top">53</td>
<td valign="top">50</td>
<td valign="top">0.359</td>
<td valign="top">&#x2212;0.497</td>
<td valign="top">1.216</td>
<td valign="top">0.4110</td>
<td valign="top">69.47&#x0025;</td>
<td valign="top">0.0378</td>
</tr>
<tr>
<td valign="top">Atridox</td>
<td valign="top">7</td>
<td valign="top">207</td>
<td valign="top">216</td>
<td valign="top">0.141</td>
<td valign="top">&#x2212;0.072</td>
<td valign="top">0.353</td>
<td valign="top">0.1950</td>
<td valign="top">47.06&#x0025;</td>
<td valign="top">0.0786</td>
</tr>
<tr>
<td valign="top">Dentomycin</td>
<td valign="top">3</td>
<td valign="top">30</td>
<td valign="top">30</td>
<td valign="top">0.144</td>
<td valign="top">&#x2212;0.635</td>
<td valign="top">0.922</td>
<td valign="top">0.7180</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.9860</td>
</tr>
<tr>
<td valign="top">Mino ointment</td>
<td valign="top">4</td>
<td valign="top">163</td>
<td valign="top">163</td>
<td valign="top">0.745</td>
<td valign="top">0.496</td>
<td valign="top">0.994</td>
<td valign="top">0.0001</td>
<td valign="top">85.15&#x0025;</td>
<td valign="top">0.0002</td>
</tr>
<tr>
<th valign="top" colspan="10">Meta-regression</th>
</tr>
<tr>
<th valign="top" colspan="2"/>
<th valign="top" colspan="2"/>
<th valign="top" colspan="6">95&#x0025; CI</th>
</tr>
<tr>
<th valign="top" colspan="2">Moderator</th>
<th valign="top" colspan="2"><italic>&#x03B2;</italic> coefficient</th>
<th valign="top" colspan="2">Lower</th>
<th valign="top" colspan="2">Upper</th>
<th valign="top" colspan="2"><italic>p</italic>-value</th>
</tr>
<tr>
<td valign="top" colspan="2">Split/parallel-mouth</td>
<td valign="top" colspan="2">0.502</td>
<td valign="top" colspan="2">&#x2212;0.412</td>
<td valign="top" colspan="2">1.416</td>
<td valign="top" colspan="2">0.2810</td>
</tr>
<tr>
<td valign="top" colspan="2">Full/partial-mouth</td>
<td valign="top" colspan="2">0.379</td>
<td valign="top" colspan="2">&#x2212;0.054</td>
<td valign="top" colspan="2">0.811</td>
<td valign="top" colspan="2">0.0859</td>
</tr>
<tr>
<td valign="top" colspan="2">Initial/maintenance</td>
<td valign="top" colspan="2">&#x2212;0.322</td>
<td valign="top" colspan="2">&#x2212;0.674</td>
<td valign="top" colspan="2">0.030</td>
<td valign="top" colspan="2">0.0729</td>
</tr>
<tr>
<td valign="top" colspan="2">Smoking/non-smoking</td>
<td valign="top" colspan="2">&#x2212;0.531</td>
<td valign="top" colspan="2">&#x2212;1.065</td>
<td valign="top" colspan="2">0.003</td>
<td valign="top" colspan="2">0.0513</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn3"><p>FM, full-mouth assessment; PM, partial-mouth assessment; SM, smokers; NS, non-smokers.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>In long-term studies (12&#x2009;&#x002B;<sans-serif>&#x2009;months</sans-serif>), 21 comparisons with 530 control and 535 test patients showed a significant PPD reduction [WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.371, 95&#x0025; CI (0.181; 0.560), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001], with high heterogeneity (<italic>I</italic>&#x00B2;&#x2009;&#x003D;<sans-serif>&#x2009;74</sans-serif>.43&#x0025;, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001) (<xref ref-type="table" rid="T3">Table&#x00A0;3</xref>; <xref ref-type="sec" rid="s10">Supplementary Figure 1B</xref>). Significant effects were noted for parallel-mouth design [<italic>n</italic>&#x2009;&#x003D;&#x2009;20, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.348, 95&#x0025; CI (0.153; 0.542), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001], partial-mouth assessments [<italic>n</italic>&#x2009;&#x003D;&#x2009;18, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.444, 95&#x0025; CI (0.236; 0.651), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001], initial phase [<italic>n</italic>&#x2009;&#x003D;&#x2009;14, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.498, 95&#x0025; CI (0.272; 0.723), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001], and non-smokers [<italic>n</italic>&#x2009;&#x003D;&#x2009;4, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.630, 95&#x0025; CI (0.145; 1.115), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0109] (<xref ref-type="table" rid="T3">Table&#x00A0;3</xref>).</p>
</sec>
<sec id="s3c1b"><label>3.3.1.2</label><title>Clinical attachment level (CAL)</title>
<p>In medium-term studies (6&#x2013;9 months), 35 comparisons with 1,425 control and 1,448 test patients demonstrated a significant CAL gain [WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.336, 95&#x0025; CI (0.204; 0.467), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001], with high heterogeneity (<italic>I</italic>&#x00B2;&#x2009;&#x003D;<sans-serif>&#x2009;79</sans-serif>.21&#x0025;, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001) (<xref ref-type="table" rid="T4">Table&#x00A0;4</xref>; <xref ref-type="sec" rid="s10">Supplementary Figure 2A</xref>). Comparatively higher significant effects were observed for split-mouth [<italic>n</italic>&#x2009;&#x003D;&#x2009;13, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.564, 95&#x0025; CI (0.314; 0.814), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001], partial-mouth assessments [<italic>n</italic>&#x2009;&#x003D;&#x2009;30, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.329, 95&#x0025; CI (0.199; 0.459), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0015], and initial phase [<italic>n</italic>&#x2009;&#x003D;&#x2009;24, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.367, 95&#x0025; CI (0.192; 0.542), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001] (<xref ref-type="table" rid="T4">Table&#x00A0;4</xref>). Almost similar values were observed for smokers [<italic>n</italic>&#x2009;&#x003D;&#x2009;2, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.710, 95&#x0025; CI (0.463; 0.957), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001] and non-smokers [<italic>n</italic>&#x2009;&#x003D;&#x2009;4, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.734, 95&#x0025; CI (0.401; 1.066), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001] (<xref ref-type="table" rid="T4">Table&#x00A0;4</xref>).</p>
<table-wrap id="T4" position="float"><label>Table 4</label>
<caption><p>Meta-analyses and meta-regression for clinical attachment level (CAL) changes.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<tbody>
<tr>
<th valign="top" align="left" colspan="10">(a) Medium-term Studies (6&#x2013;9 months)</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center" colspan="3">Number of</th>
<th valign="top" align="center" colspan="4">Weighted mean difference (WMD)</th>
<th valign="top" align="center" colspan="2">Heterogeneity</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="center" colspan="2">Patients</th>
<th valign="top" align="left"/>
<th valign="top" align="center" colspan="3">95&#x0025; CI</th>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
</tr>
<tr>
<th valign="top" align="left">6&#x2013;9 months</th>
<th valign="top" align="center">Studies</th>
<th valign="top" align="center">Control</th>
<th valign="top" align="center">Test</th>
<th valign="top" align="center">WMD</th>
<th valign="top" align="center">Lower</th>
<th valign="top" align="center">Upper</th>
<th valign="top" align="center"><italic>p</italic>-value</th>
<th valign="top" align="center">I2 (&#x0025;)</th>
<th valign="top" align="center"><italic>p</italic>-value</th>
</tr>
<tr>
<td valign="top" align="left">All</td>
<td valign="top">35</td>
<td valign="top">1,425</td>
<td valign="top">1,448</td>
<td valign="top">0.336</td>
<td valign="top">0.204</td>
<td valign="top">0.467</td>
<td valign="top">0.0001</td>
<td valign="top">79.21&#x0025;</td>
<td valign="top">0.0001</td>
</tr>
<tr>
<td valign="top">Parallel</td>
<td valign="top">22</td>
<td valign="top">888</td>
<td valign="top">911</td>
<td valign="top">0.215</td>
<td valign="top">0.083</td>
<td valign="top">0.348</td>
<td valign="top">0.0015</td>
<td valign="top">81.50&#x0025;</td>
<td valign="top">0.0001</td>
</tr>
<tr>
<td valign="top">Split</td>
<td valign="top">13</td>
<td valign="top">537</td>
<td valign="top">537</td>
<td valign="top">0.564</td>
<td valign="top">0.314</td>
<td valign="top">0.814</td>
<td valign="top">0.0001</td>
<td valign="top">61.35&#x0025;</td>
<td valign="top">0.0019</td>
</tr>
<tr>
<td valign="top">FM</td>
<td valign="top">5</td>
<td valign="top">494</td>
<td valign="top">509</td>
<td valign="top">0.396</td>
<td valign="top">&#x2212;0.18</td>
<td valign="top">0.973</td>
<td valign="top">0.1780</td>
<td valign="top">88.64&#x0025;</td>
<td valign="top">0.0001</td>
</tr>
<tr>
<td valign="top">PM</td>
<td valign="top">30</td>
<td valign="top">931</td>
<td valign="top">939</td>
<td valign="top">0.329</td>
<td valign="top">0.199</td>
<td valign="top">0.459</td>
<td valign="top">0.0001</td>
<td valign="top">76.84&#x0025;</td>
<td valign="top">0.0001</td>
</tr>
<tr>
<td valign="top">Initial</td>
<td valign="top">24</td>
<td valign="top">892</td>
<td valign="top">919</td>
<td valign="top">0.367</td>
<td valign="top">0.192</td>
<td valign="top">0.542</td>
<td valign="top">0.0001</td>
<td valign="top">85.21&#x0025;</td>
<td valign="top">0.0001</td>
</tr>
<tr>
<td valign="top">Maintenance</td>
<td valign="top">9</td>
<td valign="top">317</td>
<td valign="top">313</td>
<td valign="top">0.222</td>
<td valign="top">0.048</td>
<td valign="top">0.395</td>
<td valign="top">0.0123</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.5250</td>
</tr>
<tr>
<td valign="top">SM</td>
<td valign="top">2</td>
<td valign="top">41</td>
<td valign="top">42</td>
<td valign="top">0.710</td>
<td valign="top">0.463</td>
<td valign="top">0.957</td>
<td valign="top">0.0001</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.5820</td>
</tr>
<tr>
<td valign="top">NS</td>
<td valign="top">4</td>
<td valign="top">78</td>
<td valign="top">78</td>
<td valign="top">0.734</td>
<td valign="top">0.401</td>
<td valign="top">1.066</td>
<td valign="top">0.0001</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.6140</td>
</tr>
<tr>
<td valign="top" colspan="10">Type of tetracycline</td>
</tr>
<tr>
<td valign="top">Tetracycline</td>
<td valign="top">10</td>
<td valign="top">351</td>
<td valign="top">353</td>
<td valign="top">0.460</td>
<td valign="top">0.114</td>
<td valign="top">0.806</td>
<td valign="top">0.0092</td>
<td valign="top">72.86&#x0025;</td>
<td valign="top">0.0001</td>
</tr>
<tr>
<td valign="top">Doxycycline</td>
<td valign="top">7</td>
<td valign="top">306</td>
<td valign="top">309</td>
<td valign="top">0.464</td>
<td valign="top">0.191</td>
<td valign="top">0.738</td>
<td valign="top">0.0009</td>
<td valign="top">35.80&#x0025;</td>
<td valign="top">0.1550</td>
</tr>
<tr>
<td valign="top">Minocycline</td>
<td valign="top">18</td>
<td valign="top">768</td>
<td valign="top">786</td>
<td valign="top">0.241</td>
<td valign="top">0.090</td>
<td valign="top">0.392</td>
<td valign="top">0.0017</td>
<td valign="top">85.13&#x0025;</td>
<td valign="top">0.0001</td>
</tr>
<tr>
<td valign="top" colspan="10">Test Product</td>
</tr>
<tr>
<td valign="top">Actisite</td>
<td valign="top">5</td>
<td valign="top">234</td>
<td valign="top">236</td>
<td valign="top">0.264</td>
<td valign="top">0.02</td>
<td valign="top">0.509</td>
<td valign="top">0.0343</td>
<td valign="top">24.48&#x0025;</td>
<td valign="top">0.2580</td>
</tr>
<tr>
<td valign="top">Arestin</td>
<td valign="top">9</td>
<td valign="top">549</td>
<td valign="top">563</td>
<td valign="top">0.298</td>
<td valign="top">0.107</td>
<td valign="top">0.488</td>
<td valign="top">0.0023</td>
<td valign="top">63.60&#x0025;</td>
<td valign="top">0.0050</td>
</tr>
<tr>
<td valign="top">Atridox</td>
<td valign="top">4</td>
<td valign="top">70</td>
<td valign="top">77</td>
<td valign="top">0.495</td>
<td valign="top">0.061</td>
<td valign="top">0.928</td>
<td valign="top">0.0253</td>
<td valign="top">67.25&#x0025;</td>
<td valign="top">0.0272</td>
</tr>
<tr>
<td valign="top">Dentomycin</td>
<td valign="top">4</td>
<td valign="top">53</td>
<td valign="top">54</td>
<td valign="top">0.064</td>
<td valign="top">&#x2212;0.261</td>
<td valign="top">0.388</td>
<td valign="top">0.7000</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.9730</td>
</tr>
<tr>
<td valign="top">Ligosan</td>
<td valign="top">3</td>
<td valign="top">236</td>
<td valign="top">232</td>
<td valign="top">0.408</td>
<td valign="top">0.063</td>
<td valign="top">0.753</td>
<td valign="top">0.0204</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.9820</td>
</tr>
<tr>
<td valign="top">Mino ointment</td>
<td valign="top">4</td>
<td valign="top">160</td>
<td valign="top">158</td>
<td valign="top">0.303</td>
<td valign="top">0.011</td>
<td valign="top">0.595</td>
<td valign="top">0.0420</td>
<td valign="top">90.41&#x0025;</td>
<td valign="top">0.0001</td>
</tr>
<tr>
<th valign="top" colspan="10">Meta-regression</th>
</tr>
<tr>
<th valign="top" colspan="2"/>
<th valign="top" colspan="8">95&#x0025; CI</th>
</tr>
<tr>
<th valign="top" colspan="2">Moderator</th>
<th valign="top" colspan="2"><italic>&#x03B2;</italic> coefficient</th>
<th valign="top" colspan="2">Lower</th>
<th valign="top" colspan="2">Upper</th>
<th valign="top" colspan="2"><italic>p</italic>-value</th>
</tr>
<tr>
<td valign="top" colspan="2">Split/parallel-mouth</td>
<td valign="top" colspan="2">0.339</td>
<td valign="top" colspan="2">0.083</td>
<td valign="top" colspan="2">0.596</td>
<td valign="top" colspan="2">0.0094</td>
</tr>
<tr>
<td valign="top" colspan="2">Full/partial-mouth</td>
<td valign="top" colspan="2">0</td>
<td valign="top" colspan="2">&#x2212;0.338</td>
<td valign="top" colspan="2">0.338</td>
<td valign="top" colspan="2">1.0000</td>
</tr>
<tr>
<td valign="top" colspan="2">Initial/maintenance</td>
<td valign="top" colspan="2">&#x2212;0.106</td>
<td valign="top" colspan="2">&#x2212;0.438</td>
<td valign="top" colspan="2">0.225</td>
<td valign="top" colspan="2">0.5300</td>
</tr>
<tr>
<td valign="top" colspan="2">Smoking/non-smoking</td>
<td valign="top" colspan="2">&#x2212;0.024</td>
<td valign="top" colspan="2">&#x2212;0.438</td>
<td valign="top" colspan="2">0.39</td>
<td valign="top" colspan="2">0.9100</td>
</tr>
<tr>
<th valign="top" colspan="10">(b) Long-term studies (12&#x2009;&#x002B;<sans-serif>&#x2009;months</sans-serif>)</th>
</tr>
<tr>
<th valign="top"/>
<th valign="top" colspan="3">Number of</th>
<th valign="top" colspan="4">Weighted mean difference (WMD)</th>
<th valign="top" colspan="2">Heterogeneity</th>
</tr>
<tr>
<th valign="top"/>
<th valign="top"/>
<th valign="top" colspan="2">Patients</th>
<th valign="top"/>
<th valign="top" colspan="3">95&#x0025; CI</th>
<th valign="top"/>
<th valign="top"/>
</tr>
<tr>
<th valign="top" align="center">12&#x2009;&#x002B;&#x2009;months</th>
<th valign="top" align="center">Studies</th>
<th valign="top" align="center">Control</th>
<th valign="top" align="center">Test</th>
<th valign="top" align="center">WMD</th>
<th valign="top" align="center">Lower</th>
<th valign="top" align="center">Upper</th>
<th valign="top" align="center"><italic>p</italic>-value</th>
<th valign="top" align="center">I2 (&#x0025;)</th>
<th valign="top" align="center"><italic>p</italic>-value</th>
</tr>
<tr>
<td valign="top">All</td>
<td valign="top">18</td>
<td valign="top">480</td>
<td valign="top">485</td>
<td valign="top">0.310</td>
<td valign="top">0.24</td>
<td valign="top">0.381</td>
<td valign="top">0.0001</td>
<td valign="top">25.10&#x0025;</td>
<td valign="top">0.1590</td>
</tr>
<tr>
<td valign="top">Parallel</td>
<td valign="top">17</td>
<td valign="top">461</td>
<td valign="top">466</td>
<td valign="top">0.304</td>
<td valign="top">0.234</td>
<td valign="top">0.375</td>
<td valign="top">0.0001</td>
<td valign="top">12.67&#x0025;</td>
<td valign="top">0.3050</td>
</tr>
<tr>
<td valign="top">Split</td>
<td valign="top">1</td>
<td valign="top">19</td>
<td valign="top">19</td>
<td valign="top">1.230</td>
<td valign="top">0.365</td>
<td valign="top">2.095</td>
<td valign="top">0.0053</td>
<td valign="top">NA</td>
<td valign="top">NA</td>
</tr>
<tr>
<td valign="top">FM</td>
<td valign="top">3</td>
<td valign="top">151</td>
<td valign="top">148</td>
<td valign="top">0.230</td>
<td valign="top">0.041</td>
<td valign="top">0.419</td>
<td valign="top">0.0169</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.6460</td>
</tr>
<tr>
<td valign="top">PM</td>
<td valign="top">15</td>
<td valign="top">329</td>
<td valign="top">337</td>
<td valign="top">0.325</td>
<td valign="top">0.243</td>
<td valign="top">0.407</td>
<td valign="top">0.0001</td>
<td valign="top">33.38&#x0025;</td>
<td valign="top">0.1010</td>
</tr>
<tr>
<td valign="top">Initial</td>
<td valign="top">12</td>
<td valign="top">271</td>
<td valign="top">289</td>
<td valign="top">0.340</td>
<td valign="top">0.263</td>
<td valign="top">0.417</td>
<td valign="top">0.0001</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.8830</td>
</tr>
<tr>
<td valign="top">Maintenance</td>
<td valign="top">6</td>
<td valign="top">209</td>
<td valign="top">196</td>
<td valign="top">0.206</td>
<td valign="top">&#x2212;0.211</td>
<td valign="top">0.623</td>
<td valign="top">0.3330</td>
<td valign="top">62.59&#x0025;</td>
<td valign="top">0.0202</td>
</tr>
<tr>
<td valign="top">SM</td>
<td valign="top">4</td>
<td valign="top">55</td>
<td valign="top">70</td>
<td valign="top">0.464</td>
<td valign="top">0.142</td>
<td valign="top">0.786</td>
<td valign="top">0.0048</td>
<td valign="top">14.22&#x0025;</td>
<td valign="top">0.3210</td>
</tr>
<tr>
<td valign="top">NS</td>
<td valign="top">2</td>
<td valign="top">35</td>
<td valign="top">35</td>
<td valign="top">0.715</td>
<td valign="top">&#x2212;0.244</td>
<td valign="top">1.675</td>
<td valign="top">0.1440</td>
<td valign="top">64.50&#x0025;</td>
<td valign="top">0.0933</td>
</tr>
<tr>
<td valign="top" colspan="10">Type of tetracycline</td>
</tr>
<tr>
<td valign="top">Tetracycline</td>
<td valign="top">3</td>
<td valign="top">58</td>
<td valign="top">61</td>
<td valign="top">0.605</td>
<td valign="top">0.124</td>
<td valign="top">1.085</td>
<td valign="top">0.0136</td>
<td valign="top">32.94&#x0025;</td>
<td valign="top">0.2250</td>
</tr>
<tr>
<td valign="top">Doxycycline</td>
<td valign="top">7</td>
<td valign="top">202</td>
<td valign="top">207</td>
<td valign="top">0.282</td>
<td valign="top">0.118</td>
<td valign="top">0.446</td>
<td valign="top">0.0008</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.4750</td>
</tr>
<tr>
<td valign="top">Minocycline</td>
<td valign="top">8</td>
<td valign="top">220</td>
<td valign="top">217</td>
<td valign="top">0.307</td>
<td valign="top">0.227</td>
<td valign="top">0.386</td>
<td valign="top">0.0001</td>
<td valign="top">42.88&#x0025;</td>
<td valign="top">0.0925</td>
</tr>
<tr>
<td valign="top" colspan="10">Test product</td>
</tr>
<tr>
<td valign="top">Actisite</td>
<td valign="top">2</td>
<td valign="top">42</td>
<td valign="top">45</td>
<td valign="top">0.795</td>
<td valign="top">0.093</td>
<td valign="top">1.497</td>
<td valign="top">0.0265</td>
<td valign="top">46.13&#x0025;</td>
<td valign="top">0.1730</td>
</tr>
<tr>
<td valign="top">Atridox</td>
<td valign="top">6</td>
<td valign="top">183</td>
<td valign="top">192</td>
<td valign="top">0.281</td>
<td valign="top">0.115</td>
<td valign="top">0.446</td>
<td valign="top">0.0009</td>
<td valign="top">9.76&#x0025;</td>
<td valign="top">0.3530</td>
</tr>
<tr>
<td valign="top">Dentomycin</td>
<td valign="top">3</td>
<td valign="top">30</td>
<td valign="top">30</td>
<td valign="top">0.167</td>
<td valign="top">&#x2212;0.813</td>
<td valign="top">1.146</td>
<td valign="top">0.7390</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.9880</td>
</tr>
<tr>
<td valign="top">Mino ointment</td>
<td valign="top">4</td>
<td valign="top">163</td>
<td valign="top">163</td>
<td valign="top">0.329</td>
<td valign="top">0.249</td>
<td valign="top">0.41</td>
<td valign="top">0.0001</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.7470</td>
</tr>
<tr>
<th valign="top" colspan="10">Meta-regression</th>
</tr>
<tr>
<th valign="top" colspan="2"/>
<th valign="top" colspan="2"/>
<th valign="top" colspan="4">95&#x0025; CI</th>
<th valign="top" colspan="2"/>
</tr>
<tr>
<th valign="top" colspan="2">Moderator</th>
<th valign="top" colspan="2"><italic>&#x03B2;</italic> coefficient</th>
<th valign="top" colspan="2">Lower</th>
<th valign="top" colspan="2">Upper</th>
<th valign="top" colspan="2"><italic>p</italic>-value</th>
</tr>
<tr>
<td valign="top" colspan="2">Split/parallel-mouth</td>
<td valign="top" colspan="2">0.926</td>
<td valign="top" colspan="2">0.058</td>
<td valign="top" colspan="2">1.793</td>
<td valign="top" colspan="2">0.0364</td>
</tr>
<tr>
<td valign="top" colspan="2">Full/partial-mouth</td>
<td valign="top" colspan="2">0.093</td>
<td valign="top" colspan="2">&#x2212;0.11</td>
<td valign="top" colspan="2">0.297</td>
<td valign="top" colspan="2">0.3690</td>
</tr>
<tr>
<td valign="top" colspan="2">Initial/maintenance</td>
<td valign="top" colspan="2">&#x2212;0.184</td>
<td valign="top" colspan="2">&#x2212;0.378</td>
<td valign="top" colspan="2">0.0090</td>
<td valign="top" colspan="2">0.0617</td>
</tr>
<tr>
<td valign="top" colspan="2">Smoking/non-smoking</td>
<td valign="top" colspan="2">&#x2212;0.219</td>
<td valign="top" colspan="2">&#x2212;0.967</td>
<td valign="top" colspan="2">0.529</td>
<td valign="top" colspan="2">0.5660</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn4"><p>FM, full-mouth assessment; PM, partial-mouth assessment; SM, smokers; NS, non-smokers.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>For long-term studies (12&#x2009;&#x002B;<sans-serif>&#x2009;months</sans-serif>), 18 comparisons with 480 control and 485 test patients showed a significant CAL gain [WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.310, 95&#x0025; CI (0.240; 0.381), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001], with moderate heterogeneity (<italic>I</italic>&#x00B2;&#x2009;&#x003D;<sans-serif>&#x2009;25</sans-serif>.10&#x0025;, <italic>P</italic>&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.1590) (<xref ref-type="table" rid="T4">Table&#x00A0;4</xref>; <xref ref-type="sec" rid="s10">Supplementary Figure 2B</xref>). Statistically significant, higher effects were noted for split-mouth design [<italic>n</italic>&#x2009;&#x003D;&#x2009;1, WMD&#x2009;&#x003D;<sans-serif>&#x2009;1</sans-serif>.230, 95&#x0025; CI (0.365; 2.095), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0053], partial-mouth assessments [<italic>n</italic>&#x2009;&#x003D;&#x2009;15, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.325, 95&#x0025; CI (0.243; 0.407), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001], and initial phase [<italic>n</italic>&#x2009;&#x003D;&#x2009;12, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.340, 95&#x0025; CI (0.263; 0.417), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001]. Although non-smokers exhibited a greater CAL gain [<italic>n</italic>&#x2009;&#x003D;&#x2009;2, WMD&#x2009;&#x003D;&#x2009;0.715&#x2005;mm, 95&#x0025; CI (&#x2013;0.244; 1.675), <italic>p</italic>&#x2009;&#x003D;&#x2009;0.1440], this increase did not reach statistical significance. In contrast, smokers showed a smaller but statistically significant CAL gain (<italic>n</italic>&#x2009;&#x003D;&#x2009;4; WMD&#x2009;&#x003D;&#x2009;0.464&#x2005;mm; 95&#x0025; CI, 0.142&#x2013;0.786&#x2005;mm; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.0048) (<xref ref-type="table" rid="T4">Table&#x202F;4</xref>).</p>
</sec>
<sec id="s3c1c"><label>3.3.1.3</label><title>Bleeding on probing (BOP)</title>
<p>In medium-term studies (6&#x2013;9 months), five comparisons with 127 patients per group showed a significant BOP change of 0.261 [95&#x0025; CI (0.085; 0.437), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0036], with moderate heterogeneity (<italic>I</italic>&#x00B2;&#x2009;&#x003D;<sans-serif>&#x2009;34</sans-serif>.36&#x0025;, <italic>P</italic>&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.1920) (<xref ref-type="table" rid="T5">Table&#x00A0;5</xref>; <xref ref-type="sec" rid="s10">Supplementary Figure 3A</xref>). No significant moderator effects were reported for study design, population, assessment type, or smoking status due to limited data (<xref ref-type="table" rid="T5">Table&#x00A0;5</xref>).</p>
<table-wrap id="T5" position="float"><label>Table 5</label>
<caption><p>Meta-analyses and meta-regression for bleeding on probing (BOP) changes.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" colspan="10">(a) Medium-term Studies (6&#x2013;9 months)</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center" colspan="3">Number of</th>
<th valign="top" align="center" colspan="4">Weighted mean difference (WMD)</th>
<th valign="top" align="center" rowspan="2" colspan="2">Heterogeneity</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="center" colspan="2">Patients</th>
<th valign="top" align="left"/>
<th valign="top" align="center" colspan="2">95&#x0025; CI</th>
<th valign="top" align="left"/>
</tr>
<tr>
<th valign="top" align="center">6&#x2013;9 months</th>
<th valign="top" align="center">Studies</th>
<th valign="top" align="center">Control</th>
<th valign="top" align="center">Test</th>
<th valign="top" align="center">WMD</th>
<th valign="top" align="center">Lower</th>
<th valign="top" align="center">Upper</th>
<th valign="top" align="center"><italic>p</italic>-value</th>
<th valign="top">I2 (&#x0025;)</th>
<th valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top">All</td>
<td valign="top">5</td>
<td valign="top">127</td>
<td valign="top">127</td>
<td valign="top">0.261</td>
<td valign="top">0.085</td>
<td valign="top">0.437</td>
<td valign="top">0.0036</td>
<td valign="top">34.36&#x0025;</td>
<td valign="top">0.1920</td>
</tr>
<tr>
<td valign="top" colspan="10">Test product</td>
</tr>
<tr>
<td valign="top">Dentomycin</td>
<td valign="top">2</td>
<td valign="top">20</td>
<td valign="top">20</td>
<td valign="top">0.575</td>
<td valign="top">&#x2212;0.142</td>
<td valign="top">1.293</td>
<td valign="top">0.1160</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.8590</td>
</tr>
<tr>
<td valign="top">Arestin</td>
<td valign="top">1</td>
<td valign="top">18</td>
<td valign="top">18</td>
<td valign="top">0.06</td>
<td valign="top">&#x2212;0.205</td>
<td valign="top">0.325</td>
<td valign="top">0.6570</td>
<td valign="top">NA</td>
<td valign="top">NA</td>
</tr>
<tr>
<td valign="top">Mino ointment</td>
<td valign="top">2</td>
<td valign="top">89</td>
<td valign="top">89</td>
<td valign="top">0.306</td>
<td valign="top">0.111</td>
<td valign="top">0.502</td>
<td valign="top">0.0021</td>
<td valign="top">59.03&#x0025;</td>
<td valign="top">0.1180</td>
</tr>
<tr>
<th valign="top" colspan="10">(b) Long-term Studies (12&#x2009;&#x002B;<sans-serif>&#x2009;months</sans-serif>)</th>
</tr>
<tr>
<th valign="top"/>
<th valign="top" colspan="3">Number of</th>
<th valign="top" colspan="4">Weighted mean difference (WMD)</th>
<th valign="top" rowspan="2" colspan="2">Heterogeneity</th>
</tr>
<tr>
<th valign="top"/>
<th valign="top"/>
<th valign="top" colspan="2">Patients</th>
<th valign="top"/>
<th valign="top" colspan="2">95&#x0025; CI</th>
<th valign="top"/>
</tr>
<tr>
<th valign="top">12&#x2009;&#x002B;&#x2009;months</th>
<th valign="top">Studies</th>
<th valign="top">Control</th>
<th valign="top">Test</th>
<th valign="top">WMD</th>
<th valign="top">Lower</th>
<th valign="top">Upper</th>
<th valign="top"><italic>p</italic>-value</th>
<th valign="top">I2 (&#x0025;)</th>
<th valign="top"><italic>p</italic>-value</th>
</tr>
<tr>
<td valign="top">All</td>
<td valign="top">5</td>
<td valign="top">121</td>
<td valign="top">121</td>
<td valign="top">0.302</td>
<td valign="top">0.18</td>
<td valign="top">0.425</td>
<td valign="top">0.0001</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.9960</td>
</tr>
<tr>
<td valign="top" colspan="10">Test product</td>
</tr>
<tr>
<td valign="top">Dentomycin</td>
<td valign="top">3</td>
<td valign="top">30</td>
<td valign="top">30</td>
<td valign="top">0.353</td>
<td valign="top">&#x2212;0.226</td>
<td valign="top">0.933</td>
<td valign="top">0.2320</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.9210</td>
</tr>
<tr>
<td valign="top">Mino ointment</td>
<td valign="top">2</td>
<td valign="top">91</td>
<td valign="top">91</td>
<td valign="top">0.3</td>
<td valign="top">0.175</td>
<td valign="top">0.425</td>
<td valign="top">0.0001</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">1.0000</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>For long-term studies (12&#x2009;&#x002B;<sans-serif>&#x2009;months</sans-serif>), five comparisons with 121 patients per group demonstrated a significant BOP change of 0.302 [95&#x0025; CI (0.180; 0.425), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001], with no heterogeneity (<italic>I</italic>&#x00B2;&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.00&#x0025;, <italic>P</italic>&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.9960) (<xref ref-type="table" rid="T5">Table&#x00A0;5</xref>; <xref ref-type="sec" rid="s10">Supplementary Figure 3B</xref>). No significant moderator effects were reported due to limited data (<xref ref-type="table" rid="T5">Table&#x00A0;5</xref>).</p>
</sec>
<sec id="s3c1d"><label>3.3.1.4</label><title>Plaque index (PI)</title>
<p>In medium-term studies (6&#x2013;9 months), 13 comparisons with 440 control and 445 test patients revealed a significant PI change of 0.089 [95&#x0025; CI (0.034; 0.144), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0016], with no heterogeneity (<italic>I</italic>&#x00B2;&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.00&#x0025;, <italic>P</italic>&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.7490) (<xref ref-type="table" rid="T6">Table&#x00A0;6</xref>; <xref ref-type="sec" rid="s10">Supplementary Figure 4A</xref>). Significant effects were observed for parallel designs [<italic>n</italic>&#x2009;&#x003D;&#x2009;7, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.102, 95&#x0025; CI (0.040; 0.164), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0013] and initial phase [<italic>n</italic>&#x2009;&#x003D;&#x2009;10, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.108, 95&#x0025; CI (0.050; 0.167), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0003] (<xref ref-type="table" rid="T6">Table&#x00A0;6</xref>).</p>
<table-wrap id="T6" position="float"><label>Table 6</label>
<caption><p>Meta-analyses and meta-regression for plaque Index (PI) changes.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" colspan="10">(a) Medium-term Studies (6&#x2013;9 months)</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center" colspan="3">Number of</th>
<th valign="top" align="center" colspan="4">Weighted mean difference (WMD)</th>
<th valign="top" align="center" colspan="2">Heterogeneity</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="center" colspan="2">Patients</th>
<th valign="top" align="left"/>
<th valign="top" align="center" colspan="2">95&#x0025; CI</th>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
</tr>
<tr>
<th valign="top" align="left">6&#x2013;9 months</th>
<th valign="top" align="center">Studies</th>
<th valign="top" align="center">Control</th>
<th valign="top" align="center">Test</th>
<th valign="top" align="center">WMD</th>
<th valign="top" align="center">Lower</th>
<th valign="top" align="center">Upper</th>
<th valign="top" align="center"><italic>p</italic>-value</th>
<th valign="top" align="center">I2 (&#x0025;)</th>
<th valign="top" align="center"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">All</td>
<td valign="top">13</td>
<td valign="top">440</td>
<td valign="top">445</td>
<td valign="top">0.089</td>
<td valign="top">0.034</td>
<td valign="top">0.144</td>
<td valign="top">0.0016</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.7490</td>
</tr>
<tr>
<td valign="top">Parallel</td>
<td valign="top">7</td>
<td valign="top">141</td>
<td valign="top">146</td>
<td valign="top">0.102</td>
<td valign="top">0.04</td>
<td valign="top">0.164</td>
<td valign="top">0.0013</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.9540</td>
</tr>
<tr>
<td valign="top">Split</td>
<td valign="top">6</td>
<td valign="top">299</td>
<td valign="top">299</td>
<td valign="top">0.04</td>
<td valign="top">&#x2212;0.093</td>
<td valign="top">0.172</td>
<td valign="top">0.5560</td>
<td valign="top">17.27&#x0025;</td>
<td valign="top">0.3020</td>
</tr>
<tr>
<td valign="top">Initial</td>
<td valign="top">10</td>
<td valign="top">194</td>
<td valign="top">199</td>
<td valign="top">0.108</td>
<td valign="top">0.05</td>
<td valign="top">0.167</td>
<td valign="top">0.0003</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.9110</td>
</tr>
<tr>
<td valign="top">Maintenance</td>
<td valign="top">1</td>
<td valign="top">30</td>
<td valign="top">30</td>
<td valign="top">&#x2212;0.14</td>
<td valign="top">&#x2212;0.478</td>
<td valign="top">0.198</td>
<td valign="top">0.4170</td>
<td valign="top">N/A</td>
<td valign="top">N/A</td>
</tr>
<tr>
<td valign="top">SM</td>
<td valign="top">1</td>
<td valign="top">20</td>
<td valign="top">20</td>
<td valign="top">0.02</td>
<td valign="top">&#x2212;0.227</td>
<td valign="top">0.267</td>
<td valign="top">0.8740</td>
<td valign="top">N/A</td>
<td valign="top">N/A</td>
</tr>
<tr>
<td valign="top">NS</td>
<td valign="top">2</td>
<td valign="top">26</td>
<td valign="top">26</td>
<td valign="top">0.003</td>
<td valign="top">&#x2212;0.22</td>
<td valign="top">0.226</td>
<td valign="top">0.9800</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.8960</td>
</tr>
<tr>
<td valign="top" colspan="10">Type of tetracycline</td>
</tr>
<tr>
<td valign="top">Tetracycline</td>
<td valign="top">1</td>
<td valign="top">30</td>
<td valign="top">30</td>
<td valign="top">&#x2212;0.140</td>
<td valign="top">&#x2212;0.478</td>
<td valign="top">0.198</td>
<td valign="top">0.4170</td>
<td valign="top">NA</td>
<td valign="top">NA</td>
</tr>
<tr>
<td valign="top">Doxycycline</td>
<td valign="top">2</td>
<td valign="top">216</td>
<td valign="top">216</td>
<td valign="top">&#x2212;0.055</td>
<td valign="top">&#x2212;0.252</td>
<td valign="top">0.143</td>
<td valign="top">0.5890</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.6220</td>
</tr>
<tr>
<td valign="top">Minocycline</td>
<td valign="top">10</td>
<td valign="top">194</td>
<td valign="top">199</td>
<td valign="top">0.108</td>
<td valign="top">0.050</td>
<td valign="top">0.167</td>
<td valign="top">0.0003</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.9110</td>
</tr>
<tr>
<td valign="top" colspan="10">Test product</td>
</tr>
<tr>
<td valign="top">Arestin</td>
<td valign="top">5</td>
<td valign="top">79</td>
<td valign="top">79</td>
<td valign="top">0.098</td>
<td valign="top">&#x2212;0.036</td>
<td valign="top">0.232</td>
<td valign="top">0.1510</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.5190</td>
</tr>
<tr>
<td valign="top">Dentomycin</td>
<td valign="top">2</td>
<td valign="top">20</td>
<td valign="top">20</td>
<td valign="top">0.182</td>
<td valign="top">&#x2212;0.173</td>
<td valign="top">0.536</td>
<td valign="top">0.3150</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.6990</td>
</tr>
<tr>
<td valign="top">Ligosan</td>
<td valign="top">2</td>
<td valign="top">216</td>
<td valign="top">216</td>
<td valign="top">&#x2212;0.055</td>
<td valign="top">&#x2212;0.252</td>
<td valign="top">0.143</td>
<td valign="top">0.5890</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.6220</td>
</tr>
<tr>
<td valign="top">Mino ointment</td>
<td valign="top">2</td>
<td valign="top">89</td>
<td valign="top">89</td>
<td valign="top">0.1</td>
<td valign="top">0.03</td>
<td valign="top">0.17</td>
<td valign="top">0.0052</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">1.0000</td>
</tr>
<tr>
<td valign="top">Minocin</td>
<td valign="top">1</td>
<td valign="top">6</td>
<td valign="top">11</td>
<td valign="top">0.17</td>
<td valign="top">&#x2212;0.025</td>
<td valign="top">0.365</td>
<td valign="top">0.0878</td>
<td valign="top">NA</td>
<td valign="top">NA</td>
</tr>
<tr>
<td valign="top">Actisite</td>
<td valign="top">1</td>
<td valign="top">30</td>
<td valign="top">30</td>
<td valign="top">&#x2212;0.14</td>
<td valign="top">&#x2212;0.478</td>
<td valign="top">0.198</td>
<td valign="top">0.4170</td>
<td valign="top">NA</td>
<td valign="top">NA</td>
</tr>
<tr>
<th valign="top" colspan="10">Meta-regression</th>
</tr>
<tr>
<th valign="top" colspan="2"/>
<th valign="top" colspan="2"/>
<th valign="top" colspan="6">95&#x0025; CI</th>
</tr>
<tr>
<th valign="top" colspan="2">Moderator</th>
<th valign="top" colspan="2"><italic>&#x03B2;</italic> coefficient</th>
<th valign="top" colspan="2">Lower</th>
<th valign="top" colspan="2">Upper</th>
<th valign="top" colspan="2"><italic>p</italic>-value</th>
</tr>
<tr>
<td valign="top" colspan="2">Split/parallel-mouth</td>
<td valign="top" colspan="2">&#x2212;0.062</td>
<td valign="top" colspan="2">&#x2212;0.197</td>
<td valign="top" colspan="2">0.073</td>
<td valign="top" colspan="2">0.3670</td>
</tr>
<tr>
<td valign="top" colspan="2">Initial/maintenance</td>
<td valign="top" colspan="2">&#x2212;0.248</td>
<td valign="top" colspan="2">&#x2212;0.591</td>
<td valign="top" colspan="2">0.095</td>
<td valign="top" colspan="2">0.1570</td>
</tr>
<tr>
<td valign="top" colspan="2">Smoking/non-smoking</td>
<td valign="top" colspan="2">0.017</td>
<td valign="top" colspan="2">&#x2212;0.316</td>
<td valign="top" colspan="2">0.350</td>
<td valign="top" colspan="2">0.9200</td>
</tr>
<tr>
<th valign="top" colspan="10">(b) Long-term studies (12&#x2009;&#x002B;<sans-serif>&#x2009;months</sans-serif>)</th>
</tr>
<tr>
<th valign="top"/>
<th valign="top" colspan="3">Number of</th>
<th valign="top" colspan="4">Weighted mean difference (WMD)</th>
<th valign="top" colspan="2">Heterogeneity</th>
</tr>
<tr>
<th valign="top"/>
<th valign="top"/>
<th valign="top" colspan="2">Patients</th>
<th valign="top"/>
<th valign="top" colspan="3">95&#x0025; CI</th>
<th valign="top"/>
<th valign="top"/>
</tr>
<tr>
<th valign="top" align="center">12&#x2009;&#x002B;&#x2009;months</th>
<th valign="top" align="center">Studies</th>
<th valign="top" align="center">Control</th>
<th valign="top" align="center">Test</th>
<th valign="top" align="center">WMD</th>
<th valign="top" align="center">Lower</th>
<th valign="top" align="center">Upper</th>
<th valign="top" align="center"><italic>p</italic>-value</th>
<th valign="top" align="center">I2 (&#x0025;)</th>
<th valign="top" align="center"><italic>p</italic>-value</th>
</tr>
<tr>
<td valign="top">All</td>
<td valign="top">7</td>
<td valign="top">147</td>
<td valign="top">147</td>
<td valign="top">0.124</td>
<td valign="top">0.042</td>
<td valign="top">0.207</td>
<td valign="top">0.0032</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.6220</td>
</tr>
<tr>
<td valign="top" colspan="10">Test product</td>
</tr>
<tr>
<td valign="top">Arestin</td>
<td valign="top">2</td>
<td valign="top">26</td>
<td valign="top">26</td>
<td valign="top">&#x2212;0.04</td>
<td valign="top">&#x2212;0.289</td>
<td valign="top">0.21</td>
<td valign="top">0.7550</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.6820</td>
</tr>
<tr>
<td valign="top">Dentomycin</td>
<td valign="top">3</td>
<td valign="top">30</td>
<td valign="top">30</td>
<td valign="top">0.179</td>
<td valign="top">&#x2212;0.126</td>
<td valign="top">0.484</td>
<td valign="top">0.2490</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.7910</td>
</tr>
<tr>
<td valign="top">Mino ointment</td>
<td valign="top">2</td>
<td valign="top">91</td>
<td valign="top">91</td>
<td valign="top">0.145</td>
<td valign="top">0.047</td>
<td valign="top">0.242</td>
<td valign="top">0.0036</td>
<td valign="top">28.62&#x0025;</td>
<td valign="top">0.2370</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn5"><p>SM, smokers; NS, non-smokers.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>For long-term studies (12&#x2009;&#x002B;<sans-serif>&#x2009;months</sans-serif>), seven comparisons with 147 patients per group showed a significant PI change of 0.124 [95&#x0025; CI (0.042; 0.207), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0032], with no heterogeneity (<italic>I</italic>&#x00B2;&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.00&#x0025;, <italic>P</italic>&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.6220) (<xref ref-type="table" rid="T6">Table&#x00A0;6</xref>; <xref ref-type="sec" rid="s10">Supplementary Figure 4B</xref>). No significant moderator effects were reported due to limited data (<xref ref-type="table" rid="T6">Table&#x00A0;6</xref>).</p>
</sec>
<sec id="s3c1e"><label>3.3.1.5</label><title>Gingival index (GI)</title>
<p>In medium-term studies (6&#x2013;9 months), 12 comparisons with 420 control and 425 test patients demonstrated a significant change of GI [WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.155, 95&#x0025; CI (0.064; 0.247), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0009], with moderate heterogeneity (<italic>I</italic>&#x00B2;&#x2009;&#x003D;<sans-serif>&#x2009;63</sans-serif>.78&#x0025;, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0014) (<xref ref-type="table" rid="T7">Table&#x00A0;7</xref>; <xref ref-type="sec" rid="s10">Supplementary Figure 5A</xref>). Significant yet modest improvements were noted for split-mouth design [<italic>n</italic>&#x2009;&#x003D;&#x2009;5, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.202, 95&#x0025; CI (0.020; 0.383), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0295] as well as parallel-mouth design [<italic>n</italic>&#x2009;&#x003D;&#x2009;7, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.130, 95&#x0025; CI (0.011; 0.249), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0329], initial phase [<italic>n</italic>&#x2009;&#x003D;&#x2009;9, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.160, 95&#x0025; CI (0.054; 0.266), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0031], and partial-mouth assessment [<italic>n</italic>&#x2009;&#x003D;&#x2009;12, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.155, 95&#x0025; CI (0.064; 0.247), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0009]. Lack of data hindered the comparison between the effect of full-mouth and partial-mouth assessment (<xref ref-type="table" rid="T7">Table&#x00A0;7</xref>).</p>
<table-wrap id="T7" position="float"><label>Table 7</label>
<caption><p>Meta-analyses and meta-regression for gingival index (GI) changes.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" colspan="10">(a) Medium-term Studies (6&#x2013;9 months)</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center" colspan="3">Number of</th>
<th valign="top" align="center" colspan="4">Weighted mean difference (WMD)</th>
<th valign="top" align="center" colspan="2">Heterogeneity</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="center" colspan="2">Patients</th>
<th valign="top" align="left"/>
<th valign="top" align="center" colspan="2">95&#x0025; CI</th>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
<th valign="top" align="left"/>
</tr>
<tr>
<th valign="top" align="left">6&#x2013;9 months</th>
<th valign="top" align="center">Studies</th>
<th valign="top" align="center">Control</th>
<th valign="top" align="center">Test</th>
<th valign="top" align="center">WMD</th>
<th valign="top" align="center">Lower</th>
<th valign="top" align="center">Upper</th>
<th valign="top" align="center"><italic>p</italic>-value</th>
<th valign="top" align="center">I2 (&#x0025;)</th>
<th valign="top" align="center"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">All</td>
<td valign="top">12</td>
<td valign="top">420</td>
<td valign="top">425</td>
<td valign="top">0.155</td>
<td valign="top">0.064</td>
<td valign="top">0.247</td>
<td valign="top">0.0009</td>
<td valign="top">63.78&#x0025;</td>
<td valign="top">0.0014</td>
</tr>
<tr>
<td valign="top">Parallel</td>
<td valign="top">7</td>
<td valign="top">141</td>
<td valign="top">146</td>
<td valign="top">0.13</td>
<td valign="top">0.011</td>
<td valign="top">0.249</td>
<td valign="top">0.0329</td>
<td valign="top">71.32&#x0025;</td>
<td valign="top">0.0019</td>
</tr>
<tr>
<td valign="top">Split</td>
<td valign="top">5</td>
<td valign="top">279</td>
<td valign="top">279</td>
<td valign="top">0.202</td>
<td valign="top">0.02</td>
<td valign="top">0.383</td>
<td valign="top">0.0295</td>
<td valign="top">52.23&#x0025;</td>
<td valign="top">0.0788</td>
</tr>
<tr>
<td valign="top">FM</td>
<td valign="top">0</td>
<td valign="top">&#x2013;</td>
<td valign="top">&#x2013;</td>
<td valign="top">&#x2013;</td>
<td valign="top">&#x2013;</td>
<td valign="top">&#x2013;</td>
<td valign="top">&#x2013;</td>
<td valign="top">&#x2013;</td>
<td valign="top">&#x2013;</td>
</tr>
<tr>
<td valign="top">PM</td>
<td valign="top">12</td>
<td valign="top">420</td>
<td valign="top">425</td>
<td valign="top">0.155</td>
<td valign="top">0.064</td>
<td valign="top">0.247</td>
<td valign="top">0.0009</td>
<td valign="top">63.78&#x0025;</td>
<td valign="top">0.0014</td>
</tr>
<tr>
<td valign="top">Initial</td>
<td valign="top">9</td>
<td valign="top">174</td>
<td valign="top">179</td>
<td valign="top">0.16</td>
<td valign="top">0.054</td>
<td valign="top">0.266</td>
<td valign="top">0.0031</td>
<td valign="top">70.45&#x0025;</td>
<td valign="top">0.0007</td>
</tr>
<tr>
<td valign="top">Maintenance</td>
<td valign="top">1</td>
<td valign="top">30</td>
<td valign="top">30</td>
<td valign="top">&#x2212;0.23</td>
<td valign="top">&#x2212;0.75</td>
<td valign="top">0.29</td>
<td valign="top">0.3860</td>
<td valign="top">NA</td>
<td valign="top">NA</td>
</tr>
<tr>
<td valign="top">SM</td>
<td valign="top">0</td>
<td valign="top">&#x2013;</td>
<td valign="top">&#x2013;</td>
<td valign="top">&#x2013;</td>
<td valign="top">&#x2013;</td>
<td valign="top">&#x2013;</td>
<td valign="top">&#x2013;</td>
<td valign="top">&#x2013;</td>
<td valign="top">&#x2013;</td>
</tr>
<tr>
<td valign="top">NS</td>
<td valign="top">2</td>
<td valign="top">26</td>
<td valign="top">26</td>
<td valign="top">0.04</td>
<td valign="top">&#x2212;0.176</td>
<td valign="top">0.256</td>
<td valign="top">0.7180</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.8560</td>
</tr>
<tr>
<td valign="top" colspan="10">Type of tetracycline</td>
</tr>
<tr>
<td valign="top">Tetracycline</td>
<td valign="top">1</td>
<td valign="top">30</td>
<td valign="top">30</td>
<td valign="top">&#x2212;0.230</td>
<td valign="top">&#x2212;0.750</td>
<td valign="top">0.290</td>
<td valign="top">0.3860</td>
<td valign="top">NA</td>
<td valign="top">NA</td>
</tr>
<tr>
<td valign="top">Doxycycline</td>
<td valign="top">2</td>
<td valign="top">216</td>
<td valign="top">216</td>
<td valign="top">0.205</td>
<td valign="top">0.002</td>
<td valign="top">0.408</td>
<td valign="top">0.0479</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.3350</td>
</tr>
<tr>
<td valign="top">Minocycline</td>
<td valign="top">9</td>
<td valign="top">174</td>
<td valign="top">179</td>
<td valign="top">0.160</td>
<td valign="top">0.054</td>
<td valign="top">0.266</td>
<td valign="top">0.0031</td>
<td valign="top">70.45&#x0025;</td>
<td valign="top">0.0007</td>
</tr>
<tr>
<td valign="top" colspan="10">Test product</td>
</tr>
<tr>
<td valign="top">Arestin</td>
<td valign="top">4</td>
<td valign="top">59</td>
<td valign="top">59</td>
<td valign="top">0.178</td>
<td valign="top">&#x2212;0.024</td>
<td valign="top">0.38</td>
<td valign="top">0.0849</td>
<td valign="top">54.13&#x0025;</td>
<td valign="top">0.0881</td>
</tr>
<tr>
<td valign="top">Dentomycin</td>
<td valign="top">2</td>
<td valign="top">20</td>
<td valign="top">20</td>
<td valign="top">0.22</td>
<td valign="top">&#x2212;0.174</td>
<td valign="top">0.613</td>
<td valign="top">0.2740</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.6360</td>
</tr>
<tr>
<td valign="top">Ligosan</td>
<td valign="top">2</td>
<td valign="top">216</td>
<td valign="top">216</td>
<td valign="top">0.205</td>
<td valign="top">0.002</td>
<td valign="top">0.408</td>
<td valign="top">0.0479</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.3350</td>
</tr>
<tr>
<td valign="top">Minocin</td>
<td valign="top">1</td>
<td valign="top">6</td>
<td valign="top">11</td>
<td valign="top">&#x2212;0.03</td>
<td valign="top">&#x2212;0.242</td>
<td valign="top">0.182</td>
<td valign="top">0.7810</td>
<td valign="top">NA</td>
<td valign="top">NA</td>
</tr>
<tr>
<td valign="top">Actisite</td>
<td valign="top">1</td>
<td valign="top">30</td>
<td valign="top">30</td>
<td valign="top">&#x2212;0.23</td>
<td valign="top">&#x2212;0.75</td>
<td valign="top">0.29</td>
<td valign="top">0.3860</td>
<td valign="top">NA</td>
<td valign="top">NA</td>
</tr>
<tr>
<td valign="top">Mino ointment</td>
<td valign="top">2</td>
<td valign="top">89</td>
<td valign="top">89</td>
<td valign="top">0.196</td>
<td valign="top">0</td>
<td valign="top">0.392</td>
<td valign="top">0.0498</td>
<td valign="top">94.35&#x0025;</td>
<td valign="top">0.0001</td>
</tr>
<tr>
<th valign="top" colspan="10">Meta-regression</th>
</tr>
<tr>
<th valign="top" colspan="2"/>
<th valign="top" colspan="2"/>
<th valign="top" colspan="6">95&#x0025; CI</th>
</tr>
<tr>
<th valign="top" colspan="2">Moderator</th>
<th valign="top" colspan="2"><italic>&#x03B2;</italic> coefficient</th>
<th valign="top" colspan="2">Lower</th>
<th valign="top" colspan="2">Upper</th>
<th valign="top" colspan="2"><italic>p</italic>-value</th>
</tr>
<tr>
<td valign="top" colspan="2">Split/parallel-mouth</td>
<td valign="top" colspan="2">0.072</td>
<td valign="top" colspan="2">&#x2212;0.132</td>
<td valign="top" colspan="2">0.275</td>
<td valign="top" colspan="2">0.490</td>
</tr>
<tr>
<td valign="top" colspan="2">Initial/maintenance</td>
<td valign="top" colspan="2">&#x2212;0.39</td>
<td valign="top" colspan="2">&#x2212;0.964</td>
<td valign="top" colspan="2">0.184</td>
<td valign="top" colspan="2">0.183</td>
</tr>
<tr>
<td valign="top" colspan="2">Smoking/non-smoking</td>
<td valign="top" colspan="2">&#x2212;0.037</td>
<td valign="top" colspan="2">&#x2212;0.319</td>
<td valign="top" colspan="2">0.245</td>
<td valign="top" colspan="2">0.798</td>
</tr>
<tr>
<th valign="top" colspan="10">(b) Long-term studies (12&#x2009;&#x002B;<sans-serif>&#x2009;months</sans-serif>)</th>
</tr>
<tr>
<th valign="top"/>
<th valign="top" colspan="3">Number of</th>
<th valign="top" colspan="4">Weighted mean difference (WMD)</th>
<th valign="top" colspan="2">Heterogeneity</th>
</tr>
<tr>
<th valign="top"/>
<th valign="top"/>
<th valign="top" colspan="2">Patients</th>
<th valign="top"/>
<th valign="top" colspan="3">95&#x0025; CI</th>
<th valign="top"/>
<th valign="top"/>
</tr>
<tr>
<th valign="top" align="center">12&#x2009;&#x002B;&#x2009;months</th>
<th valign="top" align="center">Studies</th>
<th valign="top" align="center">Control</th>
<th valign="top" align="center">Test</th>
<th valign="top" align="center">WMD</th>
<th valign="top" align="center">Lower</th>
<th valign="top" align="center">Upper</th>
<th valign="top" align="center"><italic>p</italic>-value</th>
<th valign="top" align="center">I2 (&#x0025;)</th>
<th valign="top" align="center"><italic>p</italic>-value</th>
</tr>
<tr>
<td valign="top">All</td>
<td valign="top">7</td>
<td valign="top">147</td>
<td valign="top">147</td>
<td valign="top">0.155</td>
<td valign="top">0.075</td>
<td valign="top">0.235</td>
<td valign="top">0.0001</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.5800</td>
</tr>
<tr>
<td valign="top" colspan="10">Test product</td>
</tr>
<tr>
<td valign="top">Arestin</td>
<td valign="top">2</td>
<td valign="top">26</td>
<td valign="top">26</td>
<td valign="top">0.103</td>
<td valign="top">&#x2212;0.231</td>
<td valign="top">0.437</td>
<td valign="top">0.5450</td>
<td valign="top">25.49&#x0025;</td>
<td valign="top">0.2470</td>
</tr>
<tr>
<td valign="top">Dentomycin</td>
<td valign="top">3</td>
<td valign="top">30</td>
<td valign="top">30</td>
<td valign="top">0.183</td>
<td valign="top">&#x2212;0.137</td>
<td valign="top">0.502</td>
<td valign="top">0.2630</td>
<td valign="top">0.00&#x0025;</td>
<td valign="top">0.9800</td>
</tr>
<tr>
<td valign="top">Mino ointment</td>
<td valign="top">2</td>
<td valign="top">91</td>
<td valign="top">91</td>
<td valign="top">0.158</td>
<td valign="top">0.061</td>
<td valign="top">0.255</td>
<td valign="top">0.0014</td>
<td valign="top">65.24&#x0025;</td>
<td valign="top">0.0899</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn6"><p>FM, full-mouth assessment; PM, partial-mouth assessment; SM, smokers; NS, non-smokers.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>For long-term studies (12&#x2009;&#x002B;<sans-serif>&#x2009;months</sans-serif>), seven comparisons with 147 patients per group showed a significant GI change of 0.155 [95&#x0025; CI (0.075; 0.235), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001], with no heterogeneity (<italic>I</italic>&#x00B2;&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.00&#x0025;, <italic>P</italic>&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.5800) (<xref ref-type="table" rid="T7">Table&#x00A0;7</xref>; <xref ref-type="sec" rid="s10">Supplementary Figure 5B</xref>). No significant moderator effects were reported due to limited data (<xref ref-type="table" rid="T7">Table&#x00A0;7</xref>).</p>
</sec>
</sec>
<sec id="s3c2"><label>3.3.2</label><title>Meta-analysis results by drug type</title>
<p>The meta-analysis demonstrated that doxycycline, minocycline, and tetracycline derivatives provided significant benefits as adjuncts to non-surgical periodontal therapy, with notable differences in efficacy across formulations and timeframes.</p>
<p>For&#x00A0;Tetracycline, eight medium-term studies (6&#x2013;9 months) demonstrated significant improvements in both PPD [WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.74, 95&#x0025; CI (0.401&#x2013;1.079), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001] and CAL [WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.460, 95&#x0025; CI (0.114&#x2013;0.806), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0092]. Long-term studies (&#x2265;12 months) showed significant CAL gains [<italic>n</italic>&#x2009;&#x003D;&#x2009;3, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.605, 95&#x0025; CI (0.124&#x2013;1.085), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0136] but non-significant PPD changes (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.0538). Seven RCTs using Doxycycline exhibited significant medium-term reductions in PPD [WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.454, 95&#x0025; CI (0.209&#x2013;0.698), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0003] and CAL improvements [WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.464, 95&#x0025; CI (0.191&#x2013;0.738), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0009]. Seven long-term doxycycline studies revealed significant CAL improvement [WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.282, 95&#x0025; CI (0.118&#x2013;0.446), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0008] but no significant PPD changes. Minocycline demonstrated consistent efficacy across both timeframes, with significant short-term PPD [<italic>n</italic>&#x2009;&#x003D;&#x2009;27, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.46, 95&#x0025; CI (0.354&#x2013;0.565), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001] and CAL improvements [<italic>n</italic>&#x2009;&#x003D;&#x2009;18, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.241, 95&#x0025; CI (0.09&#x2013;0.392), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0017], and sustained long-term benefits in both PPD [<italic>n</italic>&#x2009;&#x003D;&#x2009;10, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.580, 95&#x0025; CI (0.283&#x2013;0.876), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001] and CAL parameters [<italic>n</italic>&#x2009;&#x003D;&#x2009;8, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.307, 95&#x0025; CI (0.227&#x2013;0.386), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001] (<xref ref-type="table" rid="T3">Tables&#x00A0;3</xref>, <xref ref-type="table" rid="T4">4</xref>).</p>
<p>When the effect of test product was assessed separately, for tetracycline formulations (Actisite), medium-term studies showed robust PPD reductions [<italic>n</italic>&#x2009;&#x003D;&#x2009;5, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.705, 95&#x0025; CI (0.503&#x2013;0.907), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001] and moderate CAL improvements [<italic>n</italic>&#x2009;&#x003D;&#x2009;5, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.264, 95&#x0025; CI (0.020&#x2013;0.509), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0343]. Long-term studies demonstrated sustained benefits in PPD [<italic>n</italic>&#x2009;&#x003D;&#x2009;2, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.554, 95&#x0025; CI (0.017&#x2013;1.091), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0434] and CAL [<italic>n</italic>&#x2009;&#x003D;&#x2009;2, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.795, 95&#x0025; CI (0.093&#x2013;1.497), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0265]. None of the included studies evaluating BOP used tetracycline formulations, and long-term effects on PI and GI were not reported for this group (<xref ref-type="table" rid="T3">Tables&#x00A0;3</xref>&#x2013;<xref ref-type="table" rid="T7">7</xref>).</p>
<p>For doxycycline formulations, medium-term studies (6&#x2013;9 months) showed significant reductions in PPD with Atridox [<italic>n</italic>&#x2009;&#x003D;&#x2009;4, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.446, 95&#x0025; CI (0.029&#x2013;0.862), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0359] and Ligosan [<italic>n</italic>&#x2009;&#x003D;&#x2009;3, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.518, 95&#x0025; CI (0.251&#x2013;0.784), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001]. CAL gains were also significant: Atridox achieved WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.495&#x2005;mm (<italic>n</italic>&#x2009;&#x003D;&#x2009;4, 95&#x0025; CI 0.061&#x2013;0.928, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0253), and Ligosan WMD&#x2009;&#x003D;&#x2009;0.408&#x2005;mm [<italic>n</italic>&#x2009;&#x003D;&#x2009;3, 95&#x0025; CI (0.063&#x2013;0.753), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0204]. Long-term studies (&#x2265;12 months) revealed significant CAL improvement by Atridox [<italic>n</italic>&#x2009;&#x003D;&#x2009;6, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.281, 95&#x0025; CI (0.115&#x2013;0.446), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0009] but no significant PPD changes. None of the selected studies reporting BOP outcomes included doxycycline formulations, and data were limited for PI and GI. Overall, doxycycline led to a modest but statistically significant effect on PPD and CAL changes (<xref ref-type="table" rid="T3">Tables&#x00A0;3</xref>&#x2013;<xref ref-type="table" rid="T7">7</xref>).</p>
<p>Minocycline-based formulations consistently demonstrated significant medium-term improvements in PPD reduction [e.g., minocycline ointment <italic>n</italic>&#x2009;&#x003D;&#x2009;4, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.580, 95&#x0025; CI (0.345&#x2013;0.814), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001] and CAL gain [<italic>n</italic>&#x2009;&#x003D;&#x2009;4, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.303, 95&#x0025; CI (0.011&#x2013;0.595), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0420]. BOP was significantly affected by minocycline ointment (<italic>n</italic>&#x2009;&#x003D;&#x2009;2, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.306&#x2005;mm, 95&#x0025; CI 0.111&#x2013;0.502, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0021), whereas Arestin and Dentomycin did not show significant BOP changes. Plaque index showed significant improvement only with minocycline ointment (<italic>n</italic>&#x2009;&#x003D;&#x2009;2, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.100&#x2005;mm, 95&#x0025; CI 0.030&#x2013;0.170, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0052), but not with other formulations. Gingival index changes were not significant for any of the reported minocycline formulations. Long-term data indicated persistent benefits, particularly for minocycline ointment, with significant effect in PPD reduction [<italic>n</italic>&#x2009;&#x003D;&#x2009;4, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.745, 95&#x0025; CI (0.496&#x2013;0.994), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001], CAL gain [<italic>n</italic>&#x2009;&#x003D;&#x2009;4, WMD&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.329, 95&#x0025; CI (0.249&#x2013;0.410), <italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001], and changes of PI and GI. Notably, long-term studies reporting PI and GI exclusively utilized minocycline formulations (<xref ref-type="table" rid="T3">Tables&#x00A0;3</xref>&#x2013;<xref ref-type="table" rid="T7">7</xref>).</p>
<p>Overall, long-term data indicate that minocycline ointment confers persistent changes in PPD, CAL, BOP, PI, and GI, whereas other minocycline formulations yield less consistent benefits (<xref ref-type="table" rid="T3">Tables&#x00A0;3</xref>&#x2013;<xref ref-type="table" rid="T7">7</xref>). In summary, minocycline demonstrated the most consistent efficacy across outcomes and durations, while doxycycline and tetracycline provided significant but more limited benefits.</p>
</sec>
<sec id="s3c3"><label>3.3.3</label><title>Meta-regression on moderators</title>
<p>Across the pooled analyses, meta-regression indicated that study design significantly influenced effect sizes. Split-mouth designs tended to show larger treatment effects: <italic>&#x03B2;</italic>&#x2009;&#x003D;&#x2009;0.422 (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001) favoring split-mouth over parallel designs for PPD, and <italic>&#x03B2;</italic>&#x2009;&#x003D;&#x2009;0.339 (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.0094) for CAL in medium-term data (<xref ref-type="table" rid="T3">Tables&#x00A0;3</xref>, <xref ref-type="table" rid="T4">4</xref>). By contrast, neither smoking status (smoker vs. non-smoker) nor treatment phase (initial therapy vs. maintenance) significantly moderated the outcomes (all <italic>P</italic>&#x2009;&#x003E;&#x2009;0.05). No other moderators showed a significant influence on the effect sizes (<xref ref-type="table" rid="T3">Tables&#x00A0;3</xref>&#x2013;<xref ref-type="table" rid="T7">7</xref>).</p>
</sec>
<sec id="s3c4"><label>3.3.4</label><title>Assessment of publication bias</title>
<p>Egger&#x0027;s test revealed significant publication bias for the primary outcome variables, PPD and CAL, across both 6&#x2013;9 months and 12&#x2009;&#x002B;<sans-serif>&#x2009;months</sans-serif> studies. For PPD at 6&#x2013;9 months, the intercept was 0.486 (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.001), with trim-and-fill analysis imputing 9 studies (<xref ref-type="sec" rid="s10">Supplementary Table 11</xref>, <xref ref-type="sec" rid="s10">Supplementary Figure 6B</xref>), yielding an adjusted effect size of 0.397 (95&#x0025; CI: 0.282&#x2013;0.513). At 12&#x2009;&#x002B;<sans-serif>&#x2009;months</sans-serif>, PPD showed an intercept of 0.419 (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.001), with 7 studies imputed (<xref ref-type="sec" rid="s10">Supplementary Table 11</xref>, <xref ref-type="sec" rid="s10">Supplementary Figure 7B</xref>), resulting in an adjusted effect size of 0.587 (95&#x0025; CI: 0.421&#x2013;0.753). For CAL at 6&#x2013;9 months, the intercept was 0.309 (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.001), with 9 studies imputed, giving an adjusted effect size of 0.189 (95&#x0025; CI: 0.056&#x2013;0.321); at 12&#x2009;&#x002B;<sans-serif>&#x2009;months</sans-serif>, no adjustment was needed despite an intercept of 0.319 (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.003). Among secondary outcomes, BOP, PI, and GI showed no significant bias in either time frame, with minimal or no adjustments required (<xref ref-type="sec" rid="s10">Supplementary Table 11</xref>). Sensitivity analyses confirmed the robustness of these findings, indicating stable effect sizes regardless of small or outlier study exclusion (<xref ref-type="sec" rid="s10">Supplementary Figure 8</xref>).</p>
</sec>
</sec>
</sec>
<sec id="s4"><label>4</label><title>Discussion</title>
<p>This systematic review and meta-analysis of 43 studies, encompassing 2,525 control and 2,575 test patients, evaluated the long-term efficacy of locally delivered tetracycline-class antimicrobials (tetracycline, doxycycline, minocycline) as adjuncts to SRP in the treatment of chronic periodontitis.</p>
<p>Despite the considerable heterogeneity observed among studies, this meta-analysis of medium- and long-term trials, adjunctive tetracycline therapy consistently enhanced the outcomes of SRP, producing additional probing depth reduction and clinical attachment gains that proved sustainable over time. In addition, it also showed improvement in secondary clinical parameters, such as BOP, PI, and GI. Although these gains are modest, they meet established thresholds for clinical relevance and may translate into decreased risk of pocket recurrence, especially in patients presenting with deep baseline pockets or systemic risk factors (e.g., smoking). These findings highlight its potential to broadly improve periodontal health, extending benefits beyond mechanical debridement alone. Notably, although several systematic reviews and meta-analyses have focused on probing depth and attachment-level outcomes, very few have examined BOP, PI, and GI in the same quantitative synthesis. Because our literature search identified a sufficient number of trials reporting these three parameters, we analyzed BOP, PI, and GI concurrently, positioning it to assess the anti-inflammatory and anti-plaque benefits of locally delivered tetracyclines beyond mechanical debridement.</p>
<p>Subgroup analyses were employed to explore the potential sources of heterogeneity. The analysis revealed that study design significantly affects treatment outcomes, with split-mouth studies demonstrating larger improvements in both PPD and CAL compared to parallel-group studies. In medium-term studies (6&#x2013;9 months), split-mouth designs showed a weighted mean difference (WMD) of 0.819&#x2005;mm for PPD and 0.564&#x2005;mm for CAL (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05), significantly higher than parallel designs (0.391&#x2005;mm and 0.215&#x2005;mm, respectively). This advantage likely stems from the reduced inter-subject variability in split-mouth designs, which enhances the detection of treatment effects by controlling for individual patient differences. These findings align with prior research, which has validated split-mouth designs for their ability to isolate treatment effects with minimal cross-over effects, as demonstrated in studies using disclosing agents and irrigation to show limited retrograde perfusion (<xref ref-type="bibr" rid="B70">70</xref>, <xref ref-type="bibr" rid="B73">73</xref>).</p>
<p>Moreover, the type of periodontal assessment also influenced outcomes, particularly for PPD. Partial-mouth assessments showed a trend toward greater PPD reductions, especially in long-term studies (WMD 0.444&#x2005;mm vs. 0.034&#x2005;mm for full-mouth, <italic>P</italic>&#x2009;&#x003C;&#x2009;0.05). This suggests that partial-mouth assessments are more sensitive to localized treatment effects, a finding consistent with earlier reports (<xref ref-type="bibr" rid="B100">100</xref>, <xref ref-type="bibr" rid="B101">101</xref>). However, for CAL, differences between full-mouth and partial-mouth assessments were less pronounced, with both showing significant improvements in long-term studies (WMD 0.230&#x2005;mm for full-mouth, 0.325&#x2005;mm for partial-mouth, <italic>P</italic>&#x2009;&#x003C;&#x2009;0.05). This indicates that full-mouth debridement may provide broader benefits by addressing microbial reservoirs, potentially enhancing overall host defense mechanisms, as noted in prior studies. The choice of assessment type thus requires careful consideration based on the specific clinical outcomes targeted.</p>
<p>Patients in the initial treatment phase exhibited greater benefits from adjunctive antimicrobial therapy compared to those in maintenance phases, particularly in long-term studies. For PPD, the WMD was 0.498&#x2005;mm (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001) in initial phases vs. 0.179&#x2005;mm in maintenance (<italic>P</italic>&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.1800), and for CAL, 0.340&#x2005;mm (<italic>P</italic>&#x2009;&#x003D;&#x2009;0.0001) vs. 0.206&#x2005;mm (<italic>P</italic>&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.3330). Although not always statistically significant, this trend suggests that untreated sites in initial phases have greater healing potential, likely due to higher baseline disease severity. This observation is in line with clinical expectations that early intervention maximizes therapeutic impact, a concept supported by previous periodontal research (<xref ref-type="bibr" rid="B102">102</xref>).</p>
<sec id="s4a"><label>4.1</label><title>Clinical implications in smokers vs. non-smokers</title>
<p>When stratified by smoking status, in the medium term, both smokers and non-smokers showed comparable gains when tetracycline acted as an adjunct to SRP, indicating that smoking does not blunt the initial adjunctive effect. However, over the long term, only non-smokers maintained significant PPD reduction, whereas smokers lost this additional benefit. Attachment level gains tended to persist in both groups in the short term. The long-term improvement of CAL in non-smokers was of higher magnitude than in smokers, but with no statistical significance, likely reflecting fewer studies or greater variability in that subgroup.</p>
<p>A critical finding of our research is the observation that smokers demonstrate less favorable responses to periodontal therapy compared to non-smokers. Taken together, these findings suggest that while smokers can achieve similar short-term improvements with adjunctive tetracycline, smoking may undermine the durability of pocket depth reduction. The mechanisms underlying this compromised healing response in smokers are multifactorial, involving impaired vascular function, altered immune responses, and potentially increased prevalence of resistant periodontopathogens (<xref ref-type="bibr" rid="B63">63</xref>).</p>
<p>Despite the generally compromised outcomes in smokers, our findings suggest that certain tetracycline formulations may partially counteract smoking&#x0027;s negative impact on periodontal healing (<xref ref-type="bibr" rid="B103">103</xref>). Locally applied controlled-release tetracycline fiber has demonstrated particular promise in this regard, improving clinical outcomes in smokers beyond what would be expected with mechanical debridement alone (<xref ref-type="bibr" rid="B104">104</xref>). Similarly, smokers treated with minocycline microspheres in addition to SRP exhibited pocket depth reductions of 1.19&#x2005;mm at 9 months, compared to only 0.90&#x2005;mm with SRP alone (<xref ref-type="bibr" rid="B105">105</xref>).</p>
<p>However, it must be acknowledged that the evidence for adjunctive antibiotic therapy specifically in smokers remains incomplete. A previous systematic review concluded that evidence for additional benefits of adjunctive antibiotics in smokers with chronic periodontitis is insufficient and somewhat inconclusive (<xref ref-type="bibr" rid="B106">106</xref>). Chambrone et al. pooled seven RCTs in heavy smokers, reporting an additional 0.81&#x2005;mm PPD reduction and 0.91&#x2005;mm CAL gain at sites with baseline PPD &#x2265;5&#x2005;mm, whereas systemic antimicrobials showed no significant benefit in this population (<xref ref-type="bibr" rid="B37">37</xref>). A smoking-specific review of local doxycycline reported a 1.10&#x2005;mm CAL gain at six months from two trials (<xref ref-type="bibr" rid="B38">38</xref>). These findings highlight that smokers, who typically respond poorly to conventional therapy, can still achieve substantial periodontal improvements with local antimicrobials, often outperforming systemic regimens. However, the need for further well-designed studies specifically targeting this patient population should be highlighted.</p>
</sec>
<sec id="s4b"><label>4.2</label><title>Specific observations on formulations</title>
<p>The meta-analysis provides evidence that tetracycline, doxycycline, and minocycline, when used as local adjuncts in the treatment of chronic periodontitis, significantly enhance key clinical outcomes, notably PPD and CAL, though efficacy varies by drug and formulation. These findings align with the established antimicrobial and host-modulatory properties of tetracycline-class antibiotics, which are known to combat periodontal pathogens and reduce inflammation. Tetracycline fibers provided robust and sustained benefits in PPD and CAL. Doxycycline products (Atridox, Ligosan) showed notable medium-term improvements but were less consistent over the long term. Minocycline&#x0027;s broader efficacy may be attributed to its higher lipid solubility and enhanced tissue penetration, potentially allowing greater interaction with periodontal tissues. Additionally, minocycline&#x0027;s ability to inhibit matrix metalloproteinases, enzymes involved in tissue destruction in periodontitis, may contribute to its superior performance across multiple clinical parameters. Moreover, the absence of data on outcomes such as BOP for doxycycline and tetracycline formulations, and PI and GI for tetracycline fibers, underscores the need for further research to fully evaluate these adjuncts&#x0027; comprehensive impact.</p>
<p>However, the presence of moderate to high heterogeneity in some analyses (e.g., <italic>I</italic>&#x00B2;&#x2009;&#x003D;<sans-serif>&#x2009;85</sans-serif>.13&#x0025; for minocycline in medium-term CAL, <italic>I</italic>&#x00B2;&#x2009;&#x003D;<sans-serif>&#x2009;73</sans-serif>.39&#x0025; for minocycline in medium-term PPD) indicates variability in study designs, patient populations, or treatment protocols, which necessitates cautious interpretation. For instance, differences in drug delivery methods, dosages, or patient characteristics could influence outcomes. The lower heterogeneity in some doxycycline analyses (e.g., <italic>I</italic>&#x00B2;&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>.00&#x0025; for long-term CAL) suggests more consistent results, possibly due to standardized formulations like Atridox or Ligosan. The number of studies and participants also varied significantly, with minocycline supported by a larger evidence base (e.g., 27 studies for medium-term PPD with 1,386 controls and 1,426 test participants) compared to tetracycline (8 studies for medium-term PPD) and doxycycline (7 studies for medium-term PPD). This disparity may contribute to the robustness of minocycline&#x0027;s findings but also highlights the need for more extensive research on tetracycline and doxycycline, particularly for outcomes like BOP, PI, and GI, where data were limited or absent.</p>
<p>A recent randomized trial directly comparing tetracycline collagen fibers to 2&#x0025; minocycline HCl gel showed both to produce equivalent PPD reductions and CAL gains by 3 months (<xref ref-type="bibr" rid="B107">107</xref>). This finding is consistent with previous analyses suggesting that the key factor is the presence of local antibiotics rather than the specific formulation. In practice, tetracycline fibers (e.g., Actisite), resorbable collagen fibers, 2&#x0025; tetracycline ointment, 2&#x0025; minocycline microspheres, and 10&#x0025; doxycycline gel all achieve similarly modest adjunctive benefits. No consistent head-to-head study has demonstrated a clinically significant difference among these agents. Thus, while pharmacokinetics (release profile, substantivity) differ by product, our data and the literature suggest that they deliver comparable adjunctive efficacy (<xref ref-type="bibr" rid="B39">39</xref>). Formulation choice may therefore be guided by handling characteristics or patient preference rather than expected therapeutic advantage.</p>
<p>Prior systematic reviews have also compared various tetracycline formulations, but among other antimicrobial agents (e.g., chlorohexidine and metronidazole). Herrera et al. provided detailed effects on PPD reduction: Actisite fibers (0.729&#x2005;mm; <italic>n</italic>&#x2009;&#x003D;&#x2009;7), Atridox doxycycline (0.800&#x2005;mm; <italic>n</italic>&#x2009;&#x003D;&#x2009;2), and Arestin minocycline microspheres (0.279&#x2005;mm; <italic>n</italic>&#x2009;&#x003D;&#x2009;6) (<xref ref-type="bibr" rid="B35">35</xref>). While a comparatively higher number of RCTs were analyzed for Atridox (<italic>n</italic>&#x2009;&#x003D;&#x2009;4) and Arestin (<italic>n</italic>&#x2009;&#x003D;&#x2009;17) in our study, we identified only five eligible Actisite trials. Methodological differences in study selection criteria likely explain the discrepancy (e.g., inclusion of systemic antibiotics or duplicate publications). Nadig and Shah included one doxycycline, six minocycline, and three tetracycline-fiber trials but did not report agent-specific WMDs, limiting head-to-head comparison (<xref ref-type="bibr" rid="B36">36</xref>). Matesanz-P&#x00E9;rez et al. noted that tetracycline fibers (0.850&#x2005;mm; <italic>n</italic>&#x2009;&#x003D;&#x2009;1) produced greater pocket reduction than sustained-release doxycycline (0.562&#x2005;mm; <italic>n</italic>&#x2009;&#x003D;&#x2009;1) or minocycline (0.500&#x2005;mm; <italic>n</italic>&#x2009;&#x003D;&#x2009;1) in medium-term follow-up, though only one study has been analyzed (<xref ref-type="bibr" rid="B34">34</xref>). Our review, which incorporated more trials for each agent and extended follow-ups, yielded a PPD reduction of 0.740&#x2005;mm in 6&#x2013;9 months (<italic>n</italic>&#x2009;&#x003D;&#x2009;8) and 0.427&#x2005;mm in 12&#x2009;&#x002B;<sans-serif>&#x2009;months</sans-serif> (<italic>n</italic>&#x2009;&#x003D;&#x2009;3) for tetracycline fibers. Our doxycycline PPD outcomes (6&#x2013;9 months; <italic>n</italic>&#x2009;&#x003D;&#x2009;7, WMD&#x2009;&#x003D;&#x2009;0.454&#x2005;mm, 12&#x2009;&#x002B;<sans-serif>&#x2009;months</sans-serif>; <italic>n</italic>&#x2009;&#x003D;&#x2009;7, WMD&#x2009;&#x003D;&#x2009;0.143&#x2005;mm) were similar to the 0.562&#x2005;mm (<italic>n</italic>&#x2009;&#x003D;&#x2009;1) and 0.100&#x2005;mm (<italic>n</italic>&#x2009;&#x003D;&#x2009;1) reported by Matesanz-P&#x00E9;rez. These comparisons underscore that all tetracycline formulations improve clinical outcomes, but fiber- or gel-based vehicles may confer marginally greater pocket closures when examined over extended periods.</p>
<p>Nonetheless, clinicians should consider delivery system characteristics, as these may influence long-term outcomes, though the overall adjunctive effect remains modest. Our results highlight that the choice of local antibiotic should consider the specific delivery system&#x0027;s longevity and release profile. Clinicians might expect somewhat greater long-term pocket closure with a prolonged-release minocycline ointment or doxycycline systems, while acknowledging that any adjunctive drug effect is modest.</p>
</sec>
<sec id="s4c"><label>4.3</label><title>Comparison with previous studies</title>
<p>Systematic reviews in this field vary widely in scope, affecting the robustness and comparability of their findings. Our meta-analysis included 42 randomized controlled trials (RCTs), emphasizing longer follow-ups (6&#x2013;9 and &#x2265;12 months) and a broad selection of tetracycline fibers, minocycline, and doxycycline products. By comparison, Nadig and Shah focused solely on tetracycline-based local delivery, but only considered 10 RCTs, in contrast to 52 studies analyzed in ours, which may have led to overestimated effect sizes due to the limited evidence base (<xref ref-type="bibr" rid="B36">36</xref>). Herrera et al. reviewed 50 investigations reported in 59 papers, encompassing various local antimicrobials (<xref ref-type="bibr" rid="B35">35</xref>), while Matesanz-P&#x00E9;rez et al. analyzed 52 studies across 56 papers with a similar focus (<xref ref-type="bibr" rid="B34">34</xref>). Although these larger reviews offer comprehensive overviews, they also introduce greater heterogeneity in study designs, follow-up durations, and formulations.</p>
<p>Hanes and Purvis (<xref ref-type="bibr" rid="B108">108</xref>); Bonito et al. (<xref ref-type="bibr" rid="B33">33</xref>) reported mean pocket reductions on the order of 0.3&#x2013;0.6&#x2005;mm with local antibiotics. In contrast, Nadig and Shah&#x0027;s meta-analysis of 10 trials (588 sites) found &#x223C;1.2&#x2005;mm PPD reduction and &#x223C;1.0&#x2005;mm CAL gain with adjunctive tetracycline vs. control (<xref ref-type="bibr" rid="B36">36</xref>), likely driven by their use of standardized mean differences and inclusion of unpublished data. Our WMD for PPD reduction (0.516&#x2005;mm) and CAL gain (0.336&#x2005;mm) in 6&#x2013;9 months and 0.371&#x2005;mm and 0.310&#x2005;mm in 12&#x2009;&#x002B;<sans-serif>&#x2009;months</sans-serif> respectively, more closely align with broader reviews. For instance, Herrera et al. reported a WMD of 0.365&#x2005;mm for PPD reduction at 6&#x2013;9 months and 0.190&#x2005;mm at 12&#x2013;60 months, with CAL gains of 0.263&#x2005;mm and 0.090&#x2005;mm, respectively (<xref ref-type="bibr" rid="B35">35</xref>). Matesanz-P&#x00E9;rez et al. found a WMD of 0.407&#x2005;mm for PPD reduction and 0.310&#x2005;mm for CAL gain (<xref ref-type="bibr" rid="B34">34</xref>), closely matching Herrera et al. for shorter-term outcomes. These variations in WMD likely reflect differences in follow-up duration, statistical methods, and specific antimicrobial agents evaluated.</p>
<p>To address comparative efficacy between systemic and local antimicrobials, Teughels et al. reported a WMD of 0.485&#x2005;mm for PPD reduction at &#x2265;6 months with systemic antimicrobials (<xref ref-type="bibr" rid="B109">109</xref>), roughly similar to the 0.365&#x2013;0.407&#x2005;mm reductions documented for local antimicrobials by Herrera et al. and Matesanz-P&#x00E9;rez et al. (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). However, systemic regimens carry higher risks of adverse events and antibiotic resistance, whereas local delivery targets specific periodontal sites and avoids systemic side effects, reducing the emergence of resistant flora. Though Herrera et al. (<xref ref-type="bibr" rid="B13">13</xref>) found that adjunctive systemic antibiotics (e.g., amoxicillin/metronidazole) improve PPD and CAL vs. SRP alone, estimates vary by drug and patient population. Our effect sizes for local tetracycline (&#x223C;0.5&#x2005;mm PPD reduction and &#x223C;0.3&#x2005;mm CAL gain) are comparable to systemic regimens but without systemic side effects. Prior meta-analyses consistently show that tetracycline-class local adjuncts provide moderate yet significant PPD and CAL improvements, and our long-term results fall squarely within those ranges. The greater magnitude of benefit seen with local delivery in smokers further supports favoring local over systemic antimicrobials in this population.</p>
</sec>
<sec id="s4d"><label>4.4</label><title>Clinical implications</title>
<p>The significant improvements in PPD, CAL, BOP, PI, and GI suggest that local tetracycline-class antimicrobials are valuable adjuncts to SRP, particularly for patients with persistent or recurrent periodontal pockets. The similar medium-term benefits in smokers and non-smokers indicate that these therapies can be broadly applied, enhancing outcomes across diverse patient populations. However, the potential for reduced long-term PPD benefits in smokers highlights the need for tailored treatment plans. Clinicians should consider more frequent monitoring and maintenance visits for smokers, alongside smoking cessation programs to optimize long-term outcomes.</p>
<p>The choice of antimicrobial product may also influence results. Tetracycline fibers (Actisite) and minocycline ointment demonstrated robust and sustained effects, suggesting they may be preferred for patients requiring long-term management. Doxycycline products, while effective in the medium term, showed less consistent long-term PPD benefits, which clinicians should weigh when selecting treatments. The minimal adverse effects reported enhance the appeal of local antimicrobials, as they offer a safe adjunctive option compared to systemic therapies. However, practical considerations, such as the time required for application and patient adherence to post-treatment instructions (e.g., avoiding certain foods), should be addressed to ensure efficacy.</p>
<p>For smoking patients specifically, locally delivered tetracyclines may partially overcome the diminished response to conventional therapy typically observed in this population. While not completely negating smoking&#x0027;s detrimental effects, these agents can help narrow the therapeutic gap between smokers and non-smokers.</p>
</sec>
<sec id="s4e"><label>4.5</label><title>Cost effectiveness</title>
<p>Local antimicrobial delivery systems can reduce the need for surgical interventions while maintaining clinical outcomes and potentially offering cost savings and shorter treatment times compared with conventional mechanical therapy (<xref ref-type="bibr" rid="B110">110</xref>). Heasman et al. highlighted that systemic antimicrobials can also be cost-effective (<xref ref-type="bibr" rid="B111">111</xref>); however, these analyses often overlook the potential impact of increased bacterial resistance on patient management.</p>
<p>While locally delivered tetracycline-class antimicrobials are effective, their use must be considered in the context of both clinical and economic factors. Their benefits may be most pronounced in high-risk groups, such as smokers, patients with recurrent disease, or those with furcation lesions, where modest clinical gains could prevent more extensive and costly interventions. However, locally delivered agents generally involve higher costs relative to their short-term clinical gains, particularly when applied as sustained-release formulations. Evaluating their efficacy is further complicated by the need to consider product costs&#x2014;including the agent, number of teeth treated, number of applications, wastage, clinician time, and patient visits&#x2014;against the expected benefit. Cost analyses indicate that treating a single tooth at a dedicated visit represents the most expensive scenario for all local delivery systems, whereas treating multiple teeth offers substantial savings (<xref ref-type="bibr" rid="B112">112</xref>). Existing studies are also limited by short follow-up periods and rarely incorporate broader patient-centered outcomes, such as tooth retention, function, aesthetics, or quality of life. These limitations highlight the need for future research that integrates clinical outcomes with comprehensive economic assessments, including evaluations of effectiveness in furcation areas, to support evidence-based decision-making in periodontal therapy.</p>
</sec>
<sec id="s4f"><label>4.6</label><title>Limitations</title>
<p>Despite the comprehensive nature of this systematic review and meta-analysis, several limitations must be acknowledged. First, the included studies exhibited substantial heterogeneity, with I&#x00B2; values as high as 74.43&#x0025; for PPD in long-term studies. This variability may be attributed to differences in study design (split-mouth vs. parallel), patient populations (initial vs. maintenance), assessment methods (full-mouth vs. partial-mouth), and antimicrobial formulations, which could affect the precision of effect estimates. Second, most studies were assessed as having a high risk of bias due to inadequate blinding, randomization, or reporting of methodological details. Only three studies were rated as having a moderate risk of bias (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B76">76</xref>, <xref ref-type="bibr" rid="B89">89</xref>), underscoring the need for higher-quality trials in this area.</p>
<p>Third, Egger&#x0027;s test indicated significant publication bias for PPD and CAL, with adjusted effect sizes slightly different than the unadjusted estimates. The exclusion of grey literature and restriction to English-language publications likely amplified publication bias by overrepresenting positive or significant findings and omitting null or negative results often found in unpublished or non-English sources. Consequently, our effect estimates may be inflated, and their generalizability to non-English&#x2013;speaking populations limited.</p>
<p>Fourth, seventeen studies did not report the smoking status of their cohorts, and among those that did, definitions of smoking varied (e.g., current vs. former smokers, smoking intensity). This limited the number of studies available for subgroup analyses and introduced potential inconsistency in the results. Fifth, some subgroup analyses were based on a small number of studies (e.g., four studies for smokers&#x0027; long-term PPD), potentially reducing statistical power to detect differences.</p>
<p>Moreover, our search strategy, relying only on keywords, &#x201C;SRP&#x201D; and &#x201C;chronic periodontitis,&#x201D; might have overlooked recent studies using the updated classification, possibly omitting valuable contemporary evidence. As clinical practice shifts toward the 2017 framework, previous terminology may require clinicians to reinterpret results within the current diagnostic context, possibly reducing their direct relevance to modern practice; conversely, because relatively few studies to date have employed the current terminology, the research community is only gradually adapting, underscoring the need for additional investigations using the updated categorization.</p>
<p>Finally, the focus on clinical parameters omitted patient-reported outcomes or quality of life measures, which are increasingly important for a holistic evaluation of treatment effectiveness. The cost-effectiveness of adjunctive local tetracycline therapy was also not evaluated in the included studies, and given that these agents can be expensive and yield only modest clinical gains, it is essential to determine whether the additional expense is justified in routine practice, especially in resource-limited settings. These limitations suggest that while the findings provide valuable insights, they should be interpreted with caution, and further research is needed to confirm and expand upon these results.</p>
</sec>
<sec id="s4g"><label>4.7</label><title>Conclusion and future directions</title>
<p>This study provides robust evidence that tetracycline, doxycycline, and minocycline, when used as local adjuncts in the treatment of chronic periodontitis, significantly enhance key clinical outcomes, notably PPD and CAL, with benefits observed in both smokers and non-smokers and with split-mouth studies showing the largest effect sizes. Treatment phase did not moderate these benefits meaningfully, underscoring the broad applicability of these agents in both initial and maintenance periodontal therapy. Minocycline ointment emerged as the most consistent and sustained adjunct across all evaluated clinical parameters. While medium-term benefits are comparable, long-term PPD reduction may be reduced in smokers, likely due to impaired healing. Clinicians should integrate these adjuncts into treatment protocols, especially for high-risk patients, and tailor strategies for smokers with enhanced monitoring and smoking cessation support.</p>
<p>Future research should prioritize high-quality randomized controlled trials with larger sample sizes, longer follow-up periods, and standardized smoking status definitions. Mechanistic studies investigating smoking&#x0027;s impact on treatment efficacy and comparative studies evaluating different local agents in smokers are needed. Cost-effectiveness analyses and exploration of combined therapies, such as with host modulation or laser therapy, could further guide clinical practice and improve outcomes for periodontitis patients.</p>
<p>Furthermore, while the current review provides comprehensive insights into the efficacy of tetracycline-class local antimicrobials in the treatment of chronic periodontitis, there remains a notable gap in the literature regarding their specific impact on furcation lesions. Furcation lesions, which occur in multi-rooted teeth and represent a significant challenge in periodontal therapy, have been less frequently studied in the context of adjunct local antimicrobial use. Given the unique anatomical and clinical challenges presented by furcation involvement, future research should prioritize conducting dedicated studies to evaluate the effectiveness of these adjuncts in managing Grade II/III furcation areas. Such investigations could provide valuable data on whether sustained-release tetracyclines can overcome the unique anatomical challenges of furcation areas and translate into improved long-term tooth prognosis in these high-risk sites.</p>
</sec>
</sec>
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<back>
<sec id="s5" sec-type="data-availability"><title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s10">Supplementary Material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s6" sec-type="author-contributions"><title>Author contributions</title>
<p>NS: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. SJ: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. NA: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="s7" sec-type="funding-information"><title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. The research was supported by the University Research Grant (URG/2022/71/D).</p>
</sec>
<sec id="s8" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s9" sec-type="ai-statement"><title>Generative AI statement</title>
<p>The authors declare that no Generative AI was used in the creation of this manuscript.</p>
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</sec>
<sec id="s11" sec-type="disclaimer"><title>Publisher&#x0027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s10" sec-type="supplementary-material"><title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fdmed.2025.1658720/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fdmed.2025.1658720/full&#x0023;supplementary-material</ext-link></p>
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