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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cardiovasc. Med.</journal-id>
<journal-title>Frontiers in Cardiovascular Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cardiovasc. Med.</abbrev-journal-title>
<issn pub-type="epub">2297-055X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcvm.2023.1255722</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cardiovascular Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Bibliometric research on analysis of links between periodontitis and cardiovascular diseases</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Tang</surname><given-names>Kuangyun</given-names></name>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2363961/overview"/><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><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" equal-contrib="yes"><name><surname>Wu</surname><given-names>Yongjia</given-names></name>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2365147/overview" /><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/software/"/><role content-type="https://credit.niso.org/contributor-roles/visualization/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/></contrib>
<contrib contrib-type="author"><name><surname>Zheng</surname><given-names>Qianhan</given-names></name><uri xlink:href="https://loop.frontiersin.org/people/2411589/overview"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Chen</surname><given-names>Xuepeng</given-names></name>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/1887270/overview"/><role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/resources/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
</contrib-group>
<aff><addr-line>Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Clinical Research Center for Oral Diseases of Zhejiang Province, Key Laboratory of Oral Biomedical Research of Zhejiang Province</addr-line>, <institution>Cancer Center of Zhejiang University</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> Tatsuya Morimoto, University of Shizuoka, Japan</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Sarhang Sarwat Gul, University of Sulaymaniyah, Iraq Bjorn Klinge, Karolinska Institutet (KI), Sweden</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Xuepeng Chen <email>cxp1979@zju.edu.cn</email></corresp>
<fn fn-type="equal" id="an1"><label><sup>&#x2020;</sup></label><p>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date pub-type="epub"><day>04</day><month>09</month><year>2023</year></pub-date>
<pub-date pub-type="collection"><year>2023</year></pub-date>
<volume>10</volume><elocation-id>1255722</elocation-id>
<history>
<date date-type="received"><day>09</day><month>07</month><year>2023</year></date>
<date date-type="accepted"><day>10</day><month>08</month><year>2023</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2023 Tang, Wu, Zheng and Chen.</copyright-statement>
<copyright-year>2023</copyright-year><copyright-holder>Tang, Wu, Zheng and Chen</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>Background</title>
<p>Periodontitis (PD) and cardiovascular diseases (CVD) rank among the most prevalent pathologies worldwide, and their correlation has been a subject of prolonged investigation. Numerous studies suggest shared etiological factors; however, a definitive causal connection remains unestablished. The objective of this study was to employ bibliometric and visual analyses in order to comprehensively examine the overarching characteristics, focal areas of research, and prospective trends pertaining to the PD-CVD relationship.</p>
</sec>
<sec><title>Methods</title>
<p>We sourced articles, reviews, and online publications on PD- and CVD- research from the Web of Science Core Collection (WoSCC) spanning from January 1, 1993, to May 15, 2023. A triad of analytical tools (R-Bibliometrix, VOSviewer 1.6.19, and CiteSpace 6.2.R3) were utilized to facilitate collaboration network analysis, co-citation analysis, co-occurrence analysis, and citation burst detection.</p>
</sec>
<sec><title>Results</title>
<p>Out of the 1,116 publications that fulfilled the eligibility criteria in the WoSCC database, the comprehensive characteristics analysis divulged a sustained growth trend in publication frequency. In the cluster analysis of reference co-citation and keyword co-occurrence, prominent themes such as &#x201C;periodontitis&#x201D;, &#x201C;cardiovascular diseases&#x201D;, &#x201C;inflammation&#x201D;, &#x201C;<italic>Porphyromonas gingivalis</italic>&#x201D;, and &#x201C;atherosclerosis&#x201D; consistently emerged. Contemporary topics such as &#x201C;peri-implantitis,&#x201D; &#x201C;COVID-19&#x201D;, &#x201C;cardiovascular risk factors,&#x201D; and &#x201C;endocarditis&#x201D; were pinpointed as burgeoning research hotspots.</p>
</sec>
<sec><title>Conclusion</title>
<p>Based on this bibliometric study, in the field of association studies between PD and CVD, the etiologic mechanisms of both diseases have been intensively studied in the last three decades. Periodontal pathogens might serve as potential initiating factors linking PD and CVD. Inflammation may constitute a significant etiological factor shared by both diseases. Several emerging topics, such as COVID-19 and peri-implantitis, exhibit promising potential. This exhaustive overview casts light on pivotal research arenas, augmenting the field&#x0027;s understanding and stimulating further scholarly investigations.</p>
</sec>
</abstract>
<kwd-group>
<kwd>periodontitis</kwd>
<kwd>cardiovascular disease</kwd>
<kwd>bibliometric analysis</kwd>
<kwd>inflammation</kwd>
<kwd>periodontal pathogens</kwd>
</kwd-group>
<contract-num rid="cn001">2021ZB176</contract-num>
<contract-num rid="cn002">SKLOD2023OF05</contract-num>
<contract-num rid="cn003">LY18H140001</contract-num>
<contract-num rid="cn004">81400511</contract-num>
<contract-num rid="cn005">2023C03072</contract-num>
<contract-num rid="cn006">RD2022DLYB03, RD2022JCEL04</contract-num>
<contract-sponsor id="cn001">Zhejiang traditional Chinese medicine science and technology plan project</contract-sponsor>
<contract-sponsor id="cn002">State Key Laboratory of Oral Diseases Open Fund</contract-sponsor>
<contract-sponsor id="cn003">Zhejiang Provincial Natural Science Foundation of China</contract-sponsor>
<contract-sponsor id="cn004">National Natural Science Foundation of China</contract-sponsor>
<contract-sponsor id="cn005">Key R&#x0026;D Program of Zhejiang</contract-sponsor>
<contract-sponsor id="cn006">Zhejiang Provincial Program for the Cultivation of High-level Innovative Health Talents. R &#x0026; D Program of the Stomatology Hospital of Zhejiang University School of Medicine</contract-sponsor>
<counts>
<fig-count count="10"/>
<table-count count="5"/><equation-count count="0"/><ref-count count="66"/><page-count count="0"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Cardiovascular Metabolism</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1"><label>1.</label><title>Introduction</title>
<p>Cardiovascular disease (CVD) is a class of diseases involving the heart and blood vessels. It is also commonly known as heart and vascular disease (<xref ref-type="bibr" rid="B1">1</xref>). CVD encompasses a range of conditions that can affect the heart and blood vessels, including coronary artery disease, stroke, heart failure, arrhythmias, valvular heart disease, etc. However, periodontitis (PD), a severe form of gum disease, has been found to affect cardiovascular disease potentially. The link between periodontitis and cardiovascular disease has been explored through various studies and research efforts (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). Both periodontitis and CVD share common risk factors such as smoking, diabetes, obesity and age. Moreover, periodontitis was found to be significantly correlated with heart failure, myocardial infarction, endocarditis, acute coronary syndrome, and atherosclerosis.</p>
<p>While more compelling and indicative evidence has come forth, emphasizing a potential causal association between these two pathologies, further research is imperative to definitively establish PD as an independent risk factor for CVD (<xref ref-type="bibr" rid="B4">4</xref>). Furthermore, an array of potential mechanisms have been explored in previous studies. Endothelial dysfunction, systemic inflammation and immune response, including C-reactive protein, interleukins, thrombotic markers and antibodies, have all been observedin patients with PD and CVD. Nonetheless, no study has definitively elucidated the precise mechanism that directly links PD to CVD. Periodontal pathogens (<italic>Porphyromonas gingivalis Aggregatibacter actinomycetemcomitans, Tannerella forsythia, Fusobacterium nucleatum</italic> and <italic>Treponema denticola</italic>) and their byproducts such as hemagglutinins, lipopolysaccharides (LPS), and gingipains were also found to contribute to the development of CVD (<xref ref-type="bibr" rid="B5">5</xref>). However, it is difficult to determine what kind of pathogens&#x0027; byproducts play a vital role in the process. LPS, released by periodontal pathogens could activate TLR4/NF-<italic>&#x03BA;</italic>B inflammatory pathway which is associated with CVD, could also derive from the large intestine (<xref ref-type="bibr" rid="B6">6</xref>). Based on the above issues, a better understanding of the PD and CVD relationship and a well-designed method are needed to clarify the complex network.</p>
<p>Bibliometrics, the quantitative study of scientific literature and research output, can play a valuable role to provide with visual representation of impact and influence of the current research. Compared with literature reviews and systematic reviews, bibliometrics offers objective data analysis with scalability and efficiency. It reduces the potential bias introduced by subjective decision-making. By analyzing publication trends over time, bibliometrics can identify emerging research areas and hot topics in specific fields. This can be particularly useful for researchers to stay updated with the latest developments and plan their strategies accordingly. As far as we know, there have been no Bibliometric analyses that can specifically on the associations between periodontal disease and various cardiovascular diseases. This bibliometric analysis is to analyze the overall features, research hotspots, and future research trends of the links between PD and CVD. Combining bibliometrics, experimental studies, clinical trials, and other research methods can contribute to a more comprehensive understanding of the relationship between periodontitis and cardiovascular disease.</p>
</sec>
<sec id="s2"><label>2.</label><title>Methods</title>
<sec id="s2a"><label>2.1.</label><title>Data source and search strategy</title>
<p>The subsequent search terminologies were employed to retrieve relevant literature from the Web of Science Core Collection (<ext-link ext-link-type="uri" xlink:href="http://apps.webofknowledge.com/">http://apps.webofknowledge.com/</ext-link>) on May 15, 2023: ([ALL&#x2009;&#x003D;&#x2009;(heart)] OR ALL&#x2009;&#x003D;&#x2009;(Cardiovascular)) AND ALL&#x2009;&#x003D;&#x2009;(periodontitis). The search interval was fixed from 1993 to 2023 to ensure a comprehensive collection of pertinent literature. Data procurement was completed within a single day to circumvent potential variability due to daily database modifications. The selected publications were predominantly in English, with a focus on &#x201C;articles&#x201D;, &#x201C;reviews&#x201D;, and &#x201C;online publications&#x201D;. Prior to a meticulous assessment of the articles&#x0027; titles and abstracts to ascertain if the literature conformed to the thematic focus, publications that did not adhere to the language and article type criteria were meticulously excluded. The search strategy yielded a total of 2,383 publications. Subsequently, the titles, abstracts, and keywords of the obtained papers were carefully reviewed by two independent reviewers (Kuangyun T. and Yongjia W.), to assess their relevance to the topic. Any disagreements between the two reviewers were resolved by discussing with another reviewer (Xuepeng C.) In this process, publications meeting the following criteria will be excluded:</p>
<p>Titles, abstracts, and keywords do not contain PD-related terms (<xref ref-type="sec" rid="s11">Supplementary S3</xref>); titles, abstracts, and keywords do not contain CVD-related terms (<xref ref-type="sec" rid="s11">Supplementary S3</xref>); and titles, abstracts, and keywords contain both PD-related and CVD-related terms, but the themes are unrelated to the topic &#x201C;Links between PD and CVD&#x201D; after reviewers&#x0027; manual screening. Consequently, a corpus of 1,116 publications was compiled. These publications, consisting of full records with cited references, were exported as plain text files and archived in the format of download_.txt. A flowchart delineating the sequence of the bibliometric study is depicted in <xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>.</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>The flow chart of the bibliometrics study.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1255722-g001.tif"/>
</fig>
</sec>
<sec id="s2b"><label>2.2.</label><title>Bibliometric analysis</title>
<p>Cite Space 6.2. R3 (Drexel University, USA) was deployed to conduct a comprehensive analysis of the incorporated papers, generating multiple visual outputs, such as dual-map overlay of journals, the network map of countries and institutions, co-cited references, reference co-citation clusters, and references with the strongest citation burst, and keywords with the strongest citation burst.</p>
<p>VOS viewer 1.6.19 (Leiden University, Holland) was instrumental in crafting the cooperation network of countries, institutions, authors, and co-cited authors and journals. This software enabled a cluster analysis and generated a network map along with a density map for high-frequency keywords. Within the visual map, varying nodes signified distinct entities such as countries, institutions, authors, and so forth. The size of a node was representative of the frequency or numbers associated with the entity, while the color of the node and the interconnecting line differentiated the clusters. The thickness of these lines signified the strength of the linkage between nodes.</p>
<p>R-Bibliometrix (University of Naples Federico, Italy) was employed to analyze the evolution trend of the topic over time according to the keywords, generate a network map depicting the global distribution of countries, and conduct a descriptive analysis of the publishing characteristics of journals. In tandem, the bibliometric online platform (<ext-link ext-link-type="uri" xlink:href="https://bibliometric.com/">https://bibliometric.com/</ext-link>) was also harnessed to depict the cooperation networks among countries.</p>
</sec>
</sec>
<sec id="s3"><label>3.</label><title>Results</title>
<sec id="s3a"><label>3.1.</label><title>Publication outputs</title>
<p>A comprehensive review yielded a total of 1116 English-language articles. The seminal investigation into the correlation between periodontitis and heart diseases was first published by Destefano F in 1993 (<xref ref-type="bibr" rid="B7">7</xref>). Annual publication volumes remained below ten until the turn of the millennium (<xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref>). Thereafter, the rate of publication per annum began to accelerate notably. During the period spanning 2011&#x2013;2017, the annual tally of publications experienced some volatility but consistently hovered within the bracket of 40 to 60 articles. Subsequent to 2017, the volume of published articles consistently breached the 60-article threshold, sustaining an average annual count of approximately 77 articles. This trend reached its apogee in 2021, with a remarkable annual yield of 97 articles.</p>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>Publication years of the association between periodontitis and cardiovascular diseases.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1255722-g002.tif"/>
</fig>
</sec>
<sec id="s3b"><label>3.2.</label><title>Journals and co-cited journals</title>
<p>Journals often cited together by other scholars are called co-cited journals. Four hundred sixteen journals published 1,116 papers. Information on the top 10 and co-cited journals are presented in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>. As illustrated in <xref ref-type="fig" rid="F3">Figure&#x00A0;3A</xref>, the top 10 journals accounted for 396 publications, equivalent to 35.48&#x0025; of the total output. JOURNAL OF PERIODONTOLOGY led the field, having published 112 articles (10.04&#x0025; of total), trailed by JOURNAL OF CLINICAL PERIODONTOLOGY (88, 7.88&#x0025;), JOURNAL OF PERIODONTAL RESEARCH (57, 5.11&#x0025;), JOURNAL OF DENTAL RESEARCH (37, 3.32&#x0025;), and PLOS ONE (22, 1.97&#x0025;). Among these ten journals, seven were based in the USA, two in Germany, and one in Ireland. Furthermore, four of these journals boast average impact factors exceeding 5.0.</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>The top 10 journals and co-cited journals of the association between periodontitis and CVD.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="center"/>
<col align="left"/>
<col align="center"/>
<col align="left"/>
<col align="center"/>
<col align="left"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Rank</th>
<th valign="top" align="center">Journal</th>
<th valign="top" align="center"><italic>N</italic> (&#x0025;)</th>
<th valign="top" align="center">Country</th>
<th valign="top" align="center">IF (2022)</th>
<th valign="top" align="center">Co-Cited Journal</th>
<th valign="top" align="center">Co-Citation</th>
<th valign="top" align="center">Country</th>
<th valign="top" align="center">IF (2022)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">J PERIODONTOL</td>
<td valign="top" align="center">10.04</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="center">4.3</td>
<td valign="top" align="left">J PERIODONTOL</td>
<td valign="top" align="center">5,484</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="center">4.3</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">J CLIN PERIODONTOL</td>
<td valign="top" align="center">7.88</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="center">6.7</td>
<td valign="top" align="left">J CLIN PERIODONTOL</td>
<td valign="top" align="center">4,273</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="center">6.7</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">J PERIODONTAL RES</td>
<td valign="top" align="center">5.11</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="center">3.5</td>
<td valign="top" align="left">CIRCULATION</td>
<td valign="top" align="center">2051</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="center">37.8</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">J DENT RES</td>
<td valign="top" align="center">3.32</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="center">7.6</td>
<td valign="top" align="left">J DENT RES</td>
<td valign="top" align="center">1,910</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="center">7.6</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">PLOS ONE</td>
<td valign="top" align="center">1.97</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="center">3.7</td>
<td valign="top" align="left">J PERIODONTAL RES</td>
<td valign="top" align="center">1,452</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="center">5.11</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">ATHEROSCLEROSIS</td>
<td valign="top" align="center">1.88</td>
<td valign="top" align="left">IRELAND</td>
<td valign="top" align="center">5.3</td>
<td valign="top" align="left">PERIODONTOL 2000</td>
<td valign="top" align="center">1,249</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="center">18.6</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">CLIN ORAL INVEST</td>
<td valign="top" align="center">1.61</td>
<td valign="top" align="left">GERMANY</td>
<td valign="top" align="center">3.4</td>
<td valign="top" align="left">INFECT IMMUN</td>
<td valign="top" align="center">1,144</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="center">3.1</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">ORAL DIS</td>
<td valign="top" align="center">1.34</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="center">3.8</td>
<td valign="top" align="left">ARTERIOSCL THROM VAS</td>
<td valign="top" align="center">1,064</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="center">8.7</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">PERIODONTOL 2000</td>
<td valign="top" align="center">1.16</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="center">18.6</td>
<td valign="top" align="left">NEW ENGL J MED</td>
<td valign="top" align="center">886</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="center">158.5</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">SCI REP-UK</td>
<td valign="top" align="center">1.16</td>
<td valign="top" align="left">GERMANY</td>
<td valign="top" align="center">4.6</td>
<td valign="top" align="left">ATHEROSCLEROSIS</td>
<td valign="top" align="center">884</td>
<td valign="top" align="left">IRELAND</td>
<td valign="top" align="center">5.3</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F3" position="float"><label>Figure 3</label>
<caption><p>(<bold>A</bold>) The top 10 journals with the most publications generated by R-bibliometrix. (<bold>B</bold>) Annual occurrences of the top 10 journals with the most publications generated by R-Bibliometrix.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1255722-g003.tif"/>
</fig>
<p><xref ref-type="fig" rid="F3">Figure&#x00A0;3B</xref> traces the temporal evolution of annual publications from the ten most prolific journals. A striking surge in the publication volume from the JOURNAL OF PERIODONTOLOGY has been observable from 1998 onwards, firmly establishing its position at the vanguard of the field. Commencing in 2001, a steady increment in the publication counts of both the JOURNAL OF CLINICAL PERIODONTOLOGY and JOURNAL OF PERIODONTAL RESEARC has been seen, aligning them closely behind the Journal of Periodontology. And an ascending trend is also evident in the output of the remaining journals, most notably since 2011. As shown in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>, eight of the top co-cited journals amassed more than 1,000 co-citations. Nine of these ten journals originate from the USA, with half of them boasting impact factors exceeding 7.0. The upper echelon of co-cited journals includes J PERIODONTOL (5,484 co-citations), J CLIN PERIODONTOL (4,273 co-citations), CIRCULATION (2,051 co-citations), J DENT RES (1910 co-citations), and J PERIODONTAL RES (1,452 co-citations). <xref ref-type="sec" rid="s11">Supplementary Figure S1</xref> presents a network visualization diagram of the journal co-citation analysis, rendered using the VOS viewer. This map includes 77 journals, each of which has garnered over 100 citations.</p>
<p>The dual-map overlay of journals, as presented in <xref ref-type="fig" rid="F4">Figure&#x00A0;4</xref>, elucidates the overarching scientific contribution in this field. The left side of the figure showcases a map of the citing journals, while the right side denotes a map of the cited journals. The label describes the subject covered by the journal. Colored line paths symbolize citation relationships, originating from the citing map and converging on the cited map to depict the trajectory of knowledge citations and the flow of information. For example, six main citation paths were shown in the current map, suggesting that the citing papers concerning Periodontitis and heart diseases primarily focused on journals in molecular, biology, immunology, medicine, medical, clinical, dentistry, dermatology, and surgery. At the same time, most of the cited articles were published in molecular, biology, genetics, health, nursing, and medicine.</p>
<fig id="F4" position="float"><label>Figure 4</label>
<caption><p>The dual-map overlay of journals related to the association between periodontitis and cardiovascular diseases.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1255722-g004.tif"/>
</fig>
</sec>
<sec id="s3c"><label>3.3.</label><title>Countries and institutions</title>
<p>A total of 70 countries have made contributions to the papers included. As delineated in <xref ref-type="table" rid="T2">Table&#x00A0;2</xref> and <xref ref-type="fig" rid="F5">Figure&#x00A0;5A</xref>, USA leads in terms of the number of publications (<italic>n</italic>&#x2009;&#x003D;&#x2009;291, accounting for 26.08&#x0025;), followed by Japan (<italic>n</italic>&#x2009;&#x003D;&#x2009;108, accounting for 9.68&#x0025;) and Sweden (<italic>n</italic>&#x2009;&#x003D;&#x2009;87, accounting for 7.80&#x0025;). Regarding total citations, it can be seen that the USA had the most significant number of total citations (<italic>n</italic>&#x2009;&#x003D;&#x2009;23,736), followed by England (<italic>n</italic>&#x2009;&#x003D;&#x2009;6,900). When evaluating the average number of citations per paper among the top ten countries, Greece takes the lead with an average of 124.79 citations, with Australia and Jordan following closely, averaging 121.97 and 108.50 citations per paper respectively. <xref ref-type="fig" rid="F5">Figures&#x00A0;5B,C</xref> depict the inter-country communication and collaboration. <xref ref-type="fig" rid="F5">Figure&#x00A0;5B</xref> generated by CiteSpace, represents a network map of the top 20 most productive countries in this field of research: The node size is directly proportional to the number of publications, and the thickness of lines connecting the nodes represents the strength of the collaboration between the countries. We found that in the top 20 countries, the USA, England, and Germany were the core countries of the network map, indicating their extensive and robust collaborative efforts with other nations. The USA, in particular, has established productive collaborations spanning several continents. Some European countries (e.g., Finland, Sweden, and England) have established extensive and close cooperative relation. In contrast, intra-Asian communication appears relatively underdeveloped. Moreover, the betweenness centrality (BC) values reflect the significance of nodes within the collaborative network. Four nodes with BC values exceeding 0.1, namely the USA, England, Italy, and France, are highlighted with purple outer circles, signifying their pivotal roles in the network. <xref ref-type="fig" rid="F5">Figure&#x00A0;5D</xref> is a network map generated by VOS viewer, featuring countries with more than five publications. This map consists of 42 nodes and 226 links, grouping into seven distinct clusters. Nodes within the same cluster indicate close cooperation. A global distribution map (<xref ref-type="sec" rid="s11">Supplementary Figure S2</xref>) further illustrates international collaboration in Periodontitis and heart disease research. The link thickness between two countries represents the strength of their cooperation. The USA has the closest collaboration with England, Sweden, Italy, Brazil, and Switzerland, constituting the most significant transcontinental network. Notably, many European nations such as Finland, Sweden, Ireland, Germany, and the Netherlands also exhibit tight cooperation. Similarly, Asian countries like India, Saudi Arabia, and the United Arab Emirates demonstrate strong intra-regional collaboration. However, the level of collaboration between these Asian countries and European nations remains limited.</p>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>The top 10 countries and institutions contributed to publications on the association between periodontitis and CVD [<italic>n</italic> (&#x0025;)].</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="center"/>
<col align="left"/>
<col align="center"/>
<col align="left"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Rank</th>
<th valign="top" align="center">Country</th>
<th valign="top" align="center"><italic>N</italic> (&#x0025;)</th>
<th valign="top" align="center">Institute</th>
<th valign="top" align="center"><italic>N</italic> (&#x0025;)</th>
<th valign="top" align="center">Country</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">USA</td>
<td valign="top" align="center">291 (26.08&#x0025;)</td>
<td valign="top" align="left">Univ Helsinki</td>
<td valign="top" align="center">64 (5.74&#x0025;)</td>
<td valign="top" align="left">Finland</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">Japan</td>
<td valign="top" align="center">108 (9.68&#x0025;)</td>
<td valign="top" align="left">Karolinska Inst</td>
<td valign="top" align="center">42 (3.76&#x0025;)</td>
<td valign="top" align="left">Sweden</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">Sweden</td>
<td valign="top" align="center">87 (7.80&#x0025;)</td>
<td valign="top" align="left">Univ N Carolina</td>
<td valign="top" align="center">39 (3.50&#x0025;)</td>
<td valign="top" align="left">USA</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">England</td>
<td valign="top" align="center">85 (7.62&#x0025;)</td>
<td valign="top" align="left">Tokyo Med &#x0026; Dent Univ</td>
<td valign="top" align="center">31 (2.78&#x0025;)</td>
<td valign="top" align="left">Japan</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">Italy</td>
<td valign="top" align="center">78 (6.99&#x0025;)</td>
<td valign="top" align="left">UCL</td>
<td valign="top" align="center">25 (2.24&#x0025;)</td>
<td valign="top" align="left">England</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">Germany</td>
<td valign="top" align="center">77 (6.90&#x0025;)</td>
<td valign="top" align="left">Boston Univ</td>
<td valign="top" align="center">23 (2.06&#x0025;)</td>
<td valign="top" align="left">USA</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">Peoples R China</td>
<td valign="top" align="center">69 (6.18&#x0025;)</td>
<td valign="top" align="left">Univ Amsterdam</td>
<td valign="top" align="center">23 (2.06&#x0025;)</td>
<td valign="top" align="left">Netherlands</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">Finland</td>
<td valign="top" align="center">66 (5.91&#x0025;)</td>
<td valign="top" align="left">Vrije Univ Amsterdam</td>
<td valign="top" align="center">23 (2.06&#x0025;)</td>
<td valign="top" align="left">Netherlands</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">India</td>
<td valign="top" align="center">61 (5.46&#x0025;)</td>
<td valign="top" align="left">Univ Oslo</td>
<td valign="top" align="center">22 (1.97&#x0025;)</td>
<td valign="top" align="left">Norway</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">Brazil</td>
<td valign="top" align="center">56 (5.02&#x0025;)</td>
<td valign="top" align="left">Univ Tokyo</td>
<td valign="top" align="center">22 (1.97&#x0025;)</td>
<td valign="top" align="left">Japan</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F5" position="float"><label>Figure 5</label>
<caption><p>(<bold>A</bold>) The number of publications, total citations (&#x2009;&#x00D7;&#x2009;100), average citation per paper, and H-index of the 10 most productive countries/regions. (<bold>B</bold>) The country cooperation network of the top 20 productive countries generated by CiteSpace. (<bold>C</bold>) The international cooperation networks between countries. Line thickness between countries reflects the intensity of the closeness. (<bold>D</bold>) The network map for countries created by the VOS viewer.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1255722-g005.tif"/>
</fig>
<p>A total of 1,407 institutions have contributed to the body of 1,116 papers. <xref ref-type="table" rid="T2">Table&#x00A0;2</xref> lists the top ten institutions, which collectively account for 314 articles, equivalent to 28.14&#x0025; of the total output. Univ Helsinki tops this list with 64 articles (5.74&#x0025;), followed by Karolinska Inst with 53 (3.76&#x0025;), Univ N Carolina with 41 (3.50&#x0025;), Tokyo Med &#x0026; Dent Univ with 37 (2.78&#x0025;) and Ucl with 38 (2.24&#x0025;). VOS viewer generated a cooperation network of institutions, as depicted in <xref ref-type="fig" rid="F6">Figure&#x00A0;6A</xref>. This network encompasses 112 nodes and 406 links, representing institutions with a collaborative frequency exceeding five. These 112 institutions aggregate into 13 distinct clusters, indicating particularly active collaboration within each cluster. Moreover, Cite Space was employed to render a cooperation network for the top 16 institutions. As indicated in <xref ref-type="fig" rid="F6">Figure&#x00A0;6B</xref>, several collaborations exist among these leading institutions.</p>
<fig id="F6" position="float"><label>Figure 6</label>
<caption><p>(<bold>A</bold>) The network map of institutions for the association between periodontitis and cardiovascular diseases was created by VOSviewer. (<bold>B</bold>) The cooperation network of the top 20 institutions generated by CiteSpace.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1255722-g006.tif"/>
</fig>
</sec>
<sec id="s3d"><label>3.4.</label><title>Authors and co-cited authors</title>
<p>Network maps of authors and co-cited authors were generated using VOSviewer to illuminate influential research groups and authors. From the identified 1,116 articles, a total of 5,346 authors were cataloged. The top 10 authors and co-cited authors are detailed in <xref ref-type="table" rid="T3">Table&#x00A0;3</xref>. <xref ref-type="fig" rid="F7">Figure&#x00A0;7A</xref> presents a tripartite analysis of the top ten most productive authors, considering their total citations (&#x2009;&#x00D7;&#x2009;100), average citations per paper (&#x2009;&#x00D7;&#x2009;10), and H-index. This index measures both the productivity and citation impact of an author&#x0027;s publications. These ten most productive authors published 147 (13.17&#x0025;) papers. Among them, Pussinen, Pirkko J. (27, 2.42&#x0025;) had the most publications, closely followed by D&#x0027;aiuto, Francesco (18, 1.61&#x0025;), and Gorska, Renata (15, 1.34&#x0025;). The citation analysis, illustrated in <xref ref-type="fig" rid="F7">Figure&#x00A0;7A</xref>, shows that D&#x0027;aiuto, Francesco&#x0027;s work has been cited the most frequently (2,419 citations), with an impressive average of 134.39 citations per paper and an H-index of 46. Offenbacher, Steven, while ranking sixth in total citations (558) and fourth in average citations per paper (50.73), boasts an exceptional H-index of 76. Sorsa, Timo, with 491 total citations and an average of 40.92 citations per paper, also achieves a high H-index of 76. Nine of these authors boasted an H-index exceeding 20. <xref ref-type="fig" rid="F7">Figure&#x00A0;7B</xref> showcases a network map of authors who contributed more than five papers, revealing a lack of close collaboration among these authors. Further, <xref ref-type="fig" rid="F7">Figure&#x00A0;7C</xref> features a co-citation network map of authors, identifying 69 authors with over 80 citations each as influential researchers. Node size corresponds to the citation frequency while connecting lines signify cooperation between authors; the line thickness corresponds to the strength of these connections. The total link strength (TLS), which reflects the influence of an author&#x0027;s published articles on other researchers within this field, reveals that D&#x0027;aiuto, Francesco holds the highest TLS at 8,072, followed by Beck, James D. (7,279) and Pussinen, Pirkko J (6,412).</p>
<table-wrap id="T3" position="float"><label>Table 3</label>
<caption><p>The top 10 authors and co-cited authors of the association between periodontitis and CVD.</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"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Rank</th>
<th valign="top" align="center">Author</th>
<th valign="top" align="center"><italic>N</italic> (&#x0025;)</th>
<th valign="top" align="center">Citations</th>
<th valign="top" align="center">H-Index</th>
<th valign="top" align="center">Co-Cited Author</th>
<th valign="top" align="center">Citations</th>
<th valign="top" align="center">Total Link Strength</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top">1</td>
<td valign="top">Pussinen, PJ</td>
<td valign="top" align="center">27 (2.42&#x0025;)</td>
<td valign="top" align="center">1,193</td>
<td valign="top" align="center">46</td>
<td valign="top">Tonetti, MS</td>
<td valign="top" align="center">446</td>
<td valign="top" align="center">5,812</td>
</tr>
<tr>
<td valign="top">2</td>
<td valign="top">D&#x0027;aiuto, F</td>
<td valign="top" align="center">18 (1.61&#x0025;)</td>
<td valign="top" align="center">2,419</td>
<td valign="top" align="center">45</td>
<td valign="top">D&#x0027;aiuto, F</td>
<td valign="top" align="center">442</td>
<td valign="top" align="center">8,072</td>
</tr>
<tr>
<td valign="top">3</td>
<td valign="top">Gorska, R</td>
<td valign="top" align="center">15 (1.34&#x0025;)</td>
<td valign="top" align="center">225</td>
<td valign="top" align="center">18</td>
<td valign="top">Beck, JD</td>
<td valign="top" align="center">431</td>
<td valign="top" align="center">7,279</td>
</tr>
<tr>
<td valign="top">4</td>
<td valign="top">Loos, BG</td>
<td valign="top" align="center">14 (1.25&#x0025;)</td>
<td valign="top" align="center">1,413</td>
<td valign="top" align="center">46</td>
<td valign="top">Pussinen, PJ</td>
<td valign="top" align="center">404</td>
<td valign="top" align="center">6,412</td>
</tr>
<tr>
<td valign="top">5</td>
<td valign="top">Paju, S</td>
<td valign="top" align="center">14 (1.25&#x0025;)</td>
<td valign="top" align="center">458</td>
<td valign="top" align="center">22</td>
<td valign="top">Mattila, KJ</td>
<td valign="top" align="center">392</td>
<td valign="top" align="center">6,386</td>
</tr>
<tr>
<td valign="top">6</td>
<td valign="top">Buhlin, K</td>
<td valign="top" align="center">13 (1.16&#x0025;)</td>
<td valign="top" align="center">574</td>
<td valign="top" align="center">24</td>
<td valign="top">Ridker, PM</td>
<td valign="top" align="center">291</td>
<td valign="top" align="center">4,996</td>
</tr>
<tr>
<td valign="top">7</td>
<td valign="top">Sorsa, To</td>
<td valign="top" align="center">12 (1.08&#x0025;)</td>
<td valign="top" align="center">491</td>
<td valign="top" align="center">76</td>
<td valign="top">Hujoel, PP</td>
<td valign="top" align="center">268</td>
<td valign="top" align="center">4,516</td>
</tr>
<tr>
<td valign="top">8</td>
<td valign="top">Renvert, S</td>
<td valign="top" align="center">12 (1.08&#x0025;)</td>
<td valign="top" align="center">454</td>
<td valign="top" align="center">51</td>
<td valign="top">Offenbacher, S</td>
<td valign="top" align="center">252</td>
<td valign="top" align="center">4,378</td>
</tr>
<tr>
<td valign="top">9</td>
<td valign="top">Sanz, M</td>
<td valign="top" align="center">11 (9.86&#x0025;)</td>
<td valign="top" align="center">1,085</td>
<td valign="top" align="center">73</td>
<td valign="top">Lockhart, PB</td>
<td valign="top" align="center">231</td>
<td valign="top" align="center">2,799</td>
</tr>
<tr>
<td valign="top">10</td>
<td valign="top">Offenbacher, S</td>
<td valign="top" align="center">11 (9.86&#x0025;)</td>
<td valign="top" align="center">558</td>
<td valign="top" align="center">76</td>
<td valign="top">Schenkein, HA</td>
<td valign="top" align="center">228</td>
<td valign="top" align="center">3,314</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F7" position="float"><label>Figure 7</label>
<caption><p>(<bold>A</bold>) The total citations (&#x2009;&#x00D7;&#x2009;100), average citation per paper (&#x2009;&#x00D7;&#x2009;10), and H-index of the top 10 most prolific authors. (<bold>B</bold>) The network map of authors for the association between periodontitis and cardiovascular diseases. (<bold>C</bold>) Author co-citation analysis by VOSviewer.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1255722-g007.tif"/>
</fig>
</sec>
<sec id="s3e"><label>3.5.</label><title>Co-cited references and the citation bursts</title>
<p>References cited by a series of articles are determined as co-cited references. <xref ref-type="table" rid="T4">Table&#x00A0;4</xref> presents the top ten co-citations relating to periodontitis and heart diseases, each garnering no fewer than 50 citations. The most frequently cited reference accrued 187 co-citations. References with citation bursts are those papers that enjoy a surge of citations over a certain period. In CiteSpace, the k value for the g-index was configured at 5, and the minimum duration of the burst was defined as two years Consequently, we identified twenty-five references with significant citation bursts over the past two decades (<xref ref-type="fig" rid="F8">Figure&#x00A0;8A</xref>). In <xref ref-type="fig" rid="F8">Figure&#x00A0;8A</xref>, a citation burst period is demarcated by a red line, which signifies the start and end years of the burst duration. Citation bursts were first observed in 2000, with the strongest burst associated with two papers published in 2013 and 2015. Approximately 52&#x0025; of the references experienced citation bursts between 2013 and 2023, with the most recent burst occurring in 2020. We also used CiteSpace to create a network map of co-cited references. <xref ref-type="fig" rid="F8">Figures&#x00A0;8B</xref>,<xref ref-type="fig" rid="F8">C</xref> depict nodes representing the references, which are grouped into 11 specific clusters such as &#x201C;&#x0023;0 dental health&#x201D;, &#x201C;&#x0023;1 ankle-brachial index&#x201D;, &#x201C;&#x0023;2 rheumatoid arthritis&#x201D;, and &#x201C;&#x0023;3 stroke&#x201D;.</p>
<table-wrap id="T4" position="float"><label>Table 4</label>
<caption><p>Top 10 co-cited references related to the association between periodontitis and CVD.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Rank</th>
<th valign="top" align="center">Co-Cited Reference</th>
<th valign="top" align="center">Co-Citation</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">Beck J, 1996, J PERIODONTOL, v67, p1123, DOI 10.1902/jop.1996.67.10s.1123</td>
<td valign="top" align="center">187</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">Tonetti MS, 2007, NEW ENGL J MED, v356, p911, DOI 10.1056/nejmoa063186</td>
<td valign="top" align="center">186</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">Destefano F, 1993, BRIT MED J, v306, p688, DOI 10.1136/bmj.306.6879.688</td>
<td valign="top" align="center">171</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">Haraszthy VI, 2000, J PERIODONTOL, v71, p1554, DOI 10.1902/jop.2000.71.10.1554</td>
<td valign="top" align="center">169</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">Lockhart PB, 2012, CIRCULATION, v125, p2520, DOI 10.1161/cir.0b013e31825719f3</td>
<td valign="top" align="center">161</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">Mattila LJ, 1989, BRIT MED J, v298, p779, DOI 10.1136/bmj.298.6676.779</td>
<td valign="top" align="center">151</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">Loos BG, 2000, J PERIODONTOL, v71, p1528, DOI 10.1902/jop.2000.71.10.1528</td>
<td valign="top" align="center">131</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">Bahekar AA, 2007, AM HEART J, v154, p830, DOI 10.1016/j.ahj.2007.06.037</td>
<td valign="top" align="center">118</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">Humphrey LL, 2008, J GEN INTERN MED, v23, p2079, DOI 10.1007/s11606-008-0787-6</td>
<td valign="top" align="center">115</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">Beck JD, 2001, ARTERIOSCL THROM VAS, v21, p1816, DOI 10.1161/hq1101.097803</td>
<td valign="top" align="center">107</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F8" position="float"><label>Figure 8</label>
<caption><p>(<bold>A</bold>) The top 25 references with the strongest citation bursts in the co-citation network. (<bold>B</bold>) The network map of reference co-citation for the association between periodontitis and cardiovascular diseases. (<bold>C</bold>) The network map of reference co-ciation clusters for the association between periodontitis and cardiovascular diseases.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1255722-g008.tif"/>
</fig>
</sec>
<sec id="s3f"><label>3.6.</label><title>Keywords</title>
<p><xref ref-type="fig" rid="F9">Figure&#x00A0;9A</xref> presents a keyword network map created by VOSviewer, featuring keywords that occurred more than 20 times. From the 1,116 articles, we extracted 3,515 keywords and applied a frequency threshold of at least 20. Keywords with similar meanings were consolidated, yielding 86 keywords for analysis. The overlay visualization map of these 86 keywords is depicted in <xref ref-type="fig" rid="F9">Figure&#x00A0;9B</xref>. The blue nodes represent early-stage keywords, while the yellow nodes denote the most recently emerged ones. Initially, keywords such as &#x201C;acute myocardial-infarction&#x201D;, &#x201C;atherosclerosis risk&#x201D;, &#x201C;<italic>chlamydia-pneumoniae</italic>&#x201D;, and &#x201C;dental infections&#x201D; dominated. Recently, however, &#x201C;chronic periodontitis&#x201D;, &#x201C;mechanisms&#x201D;, &#x201C;cardiovascular risk&#x201D;, &#x201C;periodontal medicine&#x201D;, and &#x201C;oxidative stress&#x201D; have emerged as the primary topics. As revealed in <xref ref-type="fig" rid="F9">Figure&#x00A0;9C</xref> and <xref ref-type="table" rid="T5">Table&#x00A0;5</xref>, &#x201C;periodontitis&#x201D; was the most significant keyword, with 567 co-occurrences, followed by cardiovascular diseases (443), inflammation (323), atherosclerosis (318), periodontal diseases (294), coronary heart disease (291), and association (255). The top 20 keywords encompassed terms related to periodontal disease (e.g., &#x201C;periodontitis&#x201D;, &#x201C;tooth loss&#x201D;), cardiovascular diseases (e.g., &#x201C;heart diseases&#x201D;, &#x201C;atherosclerosis&#x201D;, &#x201C;coronary heart disease&#x201D;, &#x201C;myocardial infarction&#x201D;), and disease mechanisms (e.g., &#x201C;inflammation&#x201D;, &#x201C;infection&#x201D;, &#x201C;endothelial dysfunction&#x201D;). Keywords, such as &#x201C;<italic>Porphyromonas gingivalis</italic>&#x201D; and &#x201C;<italic>actinobacillus-actinomycetemcomitans</italic>&#x201D;, denoted periodontal pathogens that may impact cardiovascular health.</p>
<fig id="F9" position="float"><label>Figure 9</label>
<caption><p>(<bold>A</bold>) The network map of keywords for the association between periodontitis and cardiovascular diseases generated by VOSviewer. (<bold>B</bold>) Overlay visualization of keywords generated by VOSviewer. (<bold>C</bold>) The density map of keywords for the association between periodontitis and cardiovascular diseases by VOSviewer.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1255722-g009.tif"/>
</fig>
<table-wrap id="T5" position="float"><label>Table 5</label>
<caption><p>The top 20 keywords in terms of frequency for the field of the association between periodontitis and CVD.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="left"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Rank</th>
<th valign="top" align="center">Keyword</th>
<th valign="top" align="center"><italic>N</italic> (&#x0025;)</th>
<th valign="top" align="center">Rank</th>
<th valign="top" align="center">Keyword</th>
<th valign="top" align="center"><italic>N</italic> (&#x0025;)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">Periodontitis</td>
<td valign="top" align="center">567 (50.80&#x0025;)</td>
<td valign="top" align="center">11</td>
<td valign="top" align="left">Risk factors</td>
<td valign="top" align="center">191 (17.11&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">Cardiovascular diseases</td>
<td valign="top" align="center">443 (39.70&#x0025;)</td>
<td valign="top" align="center">12</td>
<td valign="top" align="left">Myocardial infarction</td>
<td valign="top" align="center">135 (12.10&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">Inflammation</td>
<td valign="top" align="center">323 (28.94&#x0025;)</td>
<td valign="top" align="center">13</td>
<td valign="top" align="left">Oral health</td>
<td valign="top" align="center">110 (9.86&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">Atherosclerosis</td>
<td valign="top" align="center">318 (28.49&#x0025;)</td>
<td valign="top" align="center">14</td>
<td valign="top" align="left">Prevalence</td>
<td valign="top" align="center">93 (8.33&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">Periodontal diseases</td>
<td valign="top" align="center">294 (26.34&#x0025;)</td>
<td valign="top" align="center">15</td>
<td valign="top" align="left">Markers</td>
<td valign="top" align="center">80 (7.17&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="left">Coronary heart disease</td>
<td valign="top" align="center">291 (26.08&#x0025;)</td>
<td valign="top" align="center">16</td>
<td valign="top" align="left">Tooth loss</td>
<td valign="top" align="center">74 (6.63&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="left">Association</td>
<td valign="top" align="center">255 (22.85&#x0025;)</td>
<td valign="top" align="center">17</td>
<td valign="top" align="left">Endothelial dysfunction</td>
<td valign="top" align="center">71 (6.36&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="left">C-reactive protein</td>
<td valign="top" align="center">248 (22.22&#x0025;)</td>
<td valign="top" align="center">18</td>
<td valign="top" align="left">Actinobacillus-actinomycetemcomitans</td>
<td valign="top" align="center">70 (6.27&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="left">Porphyromonas gingivalis</td>
<td valign="top" align="center">219 (19.62&#x0025;)</td>
<td valign="top" align="center">19</td>
<td valign="top" align="left">Heart-disease</td>
<td valign="top" align="center">67 (6.00&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="left">Infection</td>
<td valign="top" align="center">193 (17.29&#x0025;)</td>
<td valign="top" align="center">20</td>
<td valign="top" align="left">Epidemiology</td>
<td valign="top" align="center">66 (5.91&#x0025;)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Cluster 1, the largest, contained 30 keywords including &#x201C;periodontitis&#x201D;, &#x201C;metabolic syndrome&#x201D;, &#x201C;obesity&#x201D;, among others. Cluster 2 encompassed 28 keywords predominantly related to &#x201C;atherosclerosis&#x201D;, &#x201C;<italic>Porphyromonas gingivalis</italic>&#x201D;, &#x201C;infection&#x201D;, and more. The 15 keywords in Cluster 3 included &#x201C;inflammation&#x201D;, &#x201C;c-reactive protein&#x201D;, &#x201C;endothelial dysfunction&#x201D;, etc., while Cluster 4 comprised 11 keywords, such as &#x201C;cardiovascular diseases&#x201D;, &#x201C;coronary heart disease&#x201D;, &#x201C;myocardial infarction&#x201D;, and others.</p>
<p><xref ref-type="fig" rid="F10">Figure&#x00A0;10A</xref> illustrates a trend map, generated based on the occurrence frequency of author keywords, with a minimum word frequency set at 5 and three words displayed per year. The keywords, including &#x201C;risk factors&#x201D; and &#x201C;coronary disease&#x201D;, had the longest duration (13 years), followed by &#x201C;microbiota&#x201D; (12 years) and &#x201C;cardiovascular risk factors&#x201D; (12 years). &#x201C;Covid-19&#x201D; emerged in the field of periodontitis and CVD in 2020. In 2021, &#x201C;microbiota&#x201D;, &#x201C;cardiovascular risk factors&#x201D;, and &#x201C;covid-19&#x201D; displayed the highest frequency, while &#x201C;oral health&#x201D;, &#x201C;systemic diseases&#x201D;, and &#x201C;periodontal therapy&#x201D; dominated in 2020.</p>
<fig id="F10" position="float"><label>Figure 10</label>
<caption><p>(<bold>A</bold>) Trend topics. The X-axis represents the year, while the Y-axis represents the cumulative keyword occurrences. (<bold>B</bold>) The keywords thematic map generated by R-Bibliometrix. The X-axis represents the centrality indicating the importance of a theme; The Y-axis symbolizes the density indicating the development of a theme.</p></caption>
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</fig>
<p>The thematic keyword map in <xref ref-type="fig" rid="F10">Figure&#x00A0;10B</xref>, generated by R-Bibliometrix, analyzes 250 keywords with a minimum cluster frequency of 5 and three labels per cluster. Two high-density and centrality clusters in the upper right quadrant (motor theme) serve as central, well-developed themes for structuring periodontitis and heart diseases research, featuring keywords such as &#x201C;oral microbiota&#x201D; and &#x201C;<italic>Porphyromonas gingivalis</italic>&#x201D;. The upper-left quadrant (niche theme) presents two clusters: one with &#x201C;interleukin-1&#x201D; and &#x201C;humans&#x201D;, and another featuring &#x201C;cancer&#x201D;, &#x201C;rheumatoid arthritis&#x201D;, and &#x201C;psoriasis&#x201D;. Another cluster, exhibiting high density and moderate centrality, is positioned between the upper right and upper left quadrants, including &#x201C;covid-19&#x201D;, &#x201C;microbiome&#x201D;, and &#x201C;comorbidities&#x201D;. The third quadrant (emerging or declining theme) encompasses &#x201C;dental care&#x201D;, &#x201C;apoptosis&#x201D;, and &#x201C;microbiology&#x201D;. Lastly, the fourth quadrant (basic themes) hosts four clusters, including terms such as &#x201C;systemic diseases&#x201D;, &#x201C;peri-implantitis&#x201D;, &#x201C;chronic periodontitis&#x201D;, &#x201C;saliva&#x201D;, &#x201C;acute coronary syndrome&#x201D;, &#x201C;periodontitis&#x201D;, &#x201C;periodontal disease&#x201D;, &#x201C;atherosclerosis&#x201D;, and &#x201C;serum&#x201D;.</p>
</sec>
</sec>
<sec id="s4"><label>4.</label><title>Discussion</title>
<p>This study presents a visualized analysis of the association between periodontitis and CVD, identifying several characteristic qualities of this research field. The examination is based on articles and reviews published within this field up to May 15, 2023. Data were sourced from the Web of Science Core Collection (WOSCC) and analyzed using CiteSpace, VOSviewer, and Bibliometrix to evaluate the current research landscape and emerging trends. The surge in published content indicates an escalating interest in the interplay between these two diseases, with dentistry emerging as the primary research domain. While periodontal disease-related journals represent the main platforms for publication, several highly-cited articles have also found their place in general scientific research journals. Analysis of countries, institutions, and authors suggests limited global collaboration, with the United States outpacing other nations in terms of research output.</p>
<p>In a paper, the judicious use of keywords enables accurate and rapid identification of a study&#x0027;s themes and topics. This principle is equally applicable to bibliometrics, where keyword analysis provides insights into research trends in a specific field. <xref ref-type="table" rid="T5">Table&#x00A0;5</xref> exhibits the top 20 most frequent keywords, predominantly focusing on PD, cardiovascular diseases, disease mechanisms, periodontal pathogens, among others. Prominent keywords such as &#x201C;inflammation&#x201D;, &#x201C;C-reactive protein&#x201D;, &#x201C;<italic>Porphyromonas gingivalis</italic>&#x201D;, and &#x201C;infection&#x201D;, suggest that inflammation and oral infection are critical links between periodontitis and CVD, defining prevalent research directions. Our study incorporates a co-occurrence analysis of 86 keywords that appeared more than 20 times. As illustrated in <xref ref-type="fig" rid="F9">Figure&#x00A0;9A</xref>, these keywords, represented as nodes, form a complex network where the size of a node corresponds to the keyword&#x0027;s frequency and indicates the primary discussion topics linking periodontitis and CVD. Furthermore, the emergence of four distinct clusters from these keywords reaffirms the aforementioned inference that both inflammation and oral infection are significant factors in the interplay between these two diseases.</p>
<p><xref ref-type="fig" rid="F8">Figure&#x00A0;8A</xref> indicates that the latest burst references are Sanz M (<xref ref-type="bibr" rid="B8">8</xref>) and Aguilera EM (<xref ref-type="bibr" rid="B9">9</xref>), with Hajishengallis G (<xref ref-type="bibr" rid="B10">10</xref>) yielding the highest burst citation strength of 15.49. The latter review discusses two potential mechanisms connecting periodontitis to cardiovascular disease. Initially, gingival ulceration within the periodontal pocket allows bacteria to enter systemic circulation, leading to bacteremia, a condition frequently observed in periodontitis patients that may provide an atherogenic stimulus. Alternatively, a mice study suggested that the bacteria <italic>Porphyromonas gingivalis</italic> could alter gut microbiota, indirectly inducing systemic inflammation (<xref ref-type="bibr" rid="B11">11</xref>). Sanz M&#x0027;s paper, the most recent reference to exhibit a strong citation burst in our study, is a consensus report on the PD-CVD connection. The paper concludes that the robust epidemiological evidence linking periodontitis to an increased risk of future atherosclerotic cardiovascular disease, affirms the biological plausibility of periodontitis&#x0027;s impact on CVD.</p>
<p>Regarding the keyword thematic map produced by R-Bibliometrix (<xref ref-type="fig" rid="F10">Figure&#x00A0;10B</xref>), two clusters are prominent in the upper right quadrant, including &#x201C;oral microbiota&#x201D;, &#x201C;<italic>Porphyromonas gingivalis&#x201D;</italic>, and &#x201C;biofilm&#x201D;. These terms, distinguished by their high density and centrality, signal well-established and core research themes within the periodontitis and CVD interplay. Meanwhile, keywords like &#x201C;saliva&#x201D; and &#x201C;peri-implantitis&#x201D; situated in the third quadrant represent burgeoning topics that are yet to be fully explored, thus likely to be focal points in future research. Notably, a cluster straddling the right and left upper quadrants includes &#x201C;COVID-19&#x201D;, &#x201C;microbiome&#x201D;, and &#x201C;comorbidities&#x201D;, terms that have garnered increasing attention in recent years.</p>
<p>The top 20 most frequent keywords included&#x201C;<italic>Porphyromonas gingivalis</italic>&#x201D; and &#x201C;infection&#x201D;, while the top 50 keywords included &#x201C;<italic>Actinobacillus actinomycetemcomitans</italic>&#x201D;, &#x201C;pathogens&#x201D;, &#x201C;bacteria&#x201D;, &#x201C;bacteremia&#x201D;, &#x201C;dental infections&#x201D;, and &#x201C;plaque&#x201D;. As shown in the keyword thematic map, &#x201C;oral microbiota&#x201D;, &#x201C;<italic>Porphyromonas gingivalis</italic>&#x201D;, and &#x201C;biofilm&#x201D; were well-established and core research themes. Considering the above results, periodontal pathogens, especially <italic>Porphyromonas gingivalis</italic>, are likely potential initial factors for the connection to cardiovascular disease. The <italic>Porphyromonas gingivalis</italic>, a significant pathogen of periodontal diseases, has been implicated in the development and progression of several cardiovascular diseases. Here are some cardiovascular conditions that may be affected by <italic>Porphyromonas gingivalis</italic>, such as atherosclerosis, myocardial infarction, stroke and endocarditis. <italic>Porphyromonas gingivalis</italic>, can potentially affect cardiovascular diseases through various mechanisms (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). First of all, <italic>Porphyromonas gingivalis</italic> can induce a localized inflammatory response in the gum tissues affected by periodontal diseases. The release of bacterial toxins and pro-inflammatory molecules by <italic>Porphyromonas gingivalis</italic> can lead to the production of inflammatory mediators such as cytokines and acute-phase proteins, including Tumor Necrosis Factor-alpha (TNF-alpha), Interleukin-1 beta (IL-1&#x03B2;), Interleukin-6 (IL-6), Interleukin-8 (IL-8) and Interleukin-17 (IL-17) (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B14">14</xref>). These inflammatory mediators can enter the bloodstream and promote systemic inflammation throughout the body, including the blood vessels and arterial walls. Systemic inflammation can contribute to the development of atherosclerosis, plaque destabilization, and increased risk of cardiovascular events. Widen et al. found out that serum levels of Interleukin-8 had increased significantly in acute coronary syndrome (<xref ref-type="bibr" rid="B15">15</xref>). Furthermore, <italic>Porphyromonas gingivalis</italic> induced inflammation can negatively impact the endothelial cells that line the blood vessels, leading to endothelial dysfunction (<xref ref-type="bibr" rid="B16">16</xref>). Endothelial dysfunction is a crucial early step in the development of atherosclerosis, acute coronary syndrome and myocardial infarction. The bacterial toxins released by <italic>Porphyromonas gingivalis</italic> can impair the normal functioning of endothelial cells, affecting their ability to regulate vascular tone, promote vasodilation, and maintain proper blood flow (<xref ref-type="bibr" rid="B17">17</xref>). Belanger&#x0027;s study (<xref ref-type="bibr" rid="B18">18</xref>) showed that <italic>Porphyromonas gingivalis</italic> expressing hemagglutinin A, had an increased capability to adhere to and invade human coronary artery endothelial cells. Lastly, the immune response triggered by <italic>Porphyromonas gingivalis</italic> and its byproducts can contribute to the formation of atherosclerotic plaques (<xref ref-type="bibr" rid="B19">19</xref>). The bacterium can activate immune cells leading to their recruitment to the arterial walls affected by atherosclerosis. Peptidoglycan, one kind of byproduct of <italic>P. gingivalis</italic>, could elevate intercellular adhesion molecule-1 production to promote monocyte migration to the cardiac endothelium (<xref ref-type="bibr" rid="B20">20</xref>). These immune cells, along with <italic>Porphyromonas gingivalis</italic>-induced inflammation, promote the uptake of modified low-density lipoprotein (LDL) by macrophages, resulting in the formation of foam cells (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). <italic>P. gingivalis</italic> promotes lipid accumulation in macrophages by upregulating CD36 and inhibiting cholesterol efflux from macrophages by promoting lysosomal integral membrane protein 2 (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). By interfering with lipid metabolism, <italic>P. gingivalis</italic> promotes macrophages to covert to foam cells. Foam cells accumulate in the arterial walls and are a hallmark of early atherosclerotic lesions (<xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>Furthermore, some interventional studies have investigated the impact of controlling periodontal pathogens on cardiovascular outcomes by periodontal treatment. While the results are mixed, some studies have shown that periodontal treatment, such as scaling and root planning, can lead to improvements in cardiovascular measures, including endothelial function and arterial stiffness. Ca&#x00FA;la&#x0027;s research (<xref ref-type="bibr" rid="B26">26</xref>) showed that periodontal treatment was effective in reducing inflammatory markers related to the risk for cardiovascular disease in 6 months, such as C-reactive protein, cholesterol, and triglycerides. D&#x0027;Aiuto et al. had similar conclusions in their studies (<xref ref-type="bibr" rid="B27">27</xref>). Periodontal treatment reduced inflammatory plasma levels, including C-reactive protein, interleukin-6 and tumor necrosis factor-alpha. Interestingly, Graziani et al. had found that full-mouth scaling and root planning were more effective in systemic inflammation reduction than multiple quadrant scaling and root plannings (<xref ref-type="bibr" rid="B28">28</xref>). Based on one of the most cited articles in our study, the American Heart Association supported an independent association between periodontitis and atherosclerotic cardiovascular disease (<xref ref-type="bibr" rid="B29">29</xref>). Therefore, substantial evidence has supported that periodontal bacteria could contribute to cardiovascular disease as an important potential independent risk factor.</p>
<p>The relationship between periodontal pathogens and cardiovascular disease is a complex and evolving area of research. While the exact mechanisms are not fully understood, several hypotheses have been proposed to explain how periodontal pathogens may influence the development and progression of cardiovascular disease, such as inflammation, bacteremia, endothelial dysfunction, immune response and autoimmunity, platelet activation, and clot formation, among others (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B30">30</xref>). According to our study, the most frequent keywords related to the mechanisms were &#x201C;inflammation&#x201D; and &#x201C;C-reactive protein,&#x201D; whose appearance ratios in our 1,116 articles as keywords were 28.94&#x0025; and 22.22&#x0025;, respectively. These ratios were significantly higher than those of other keywords, such as &#x201C;endothelial dysfunction&#x201D; (6.36&#x0025;), &#x201C;oxidative stress&#x201D; (3.76&#x0025;), &#x201C;lipopolysaccharide&#x201D; (2.42&#x0025;), and &#x201C;antibodies&#x201D; (2.15&#x0025;). In general, the appearance ratios of keywords related to inflammation, including various inflammation mediators, were remarkably higher than those of other mechanism-related keywords. A growing body of literature suggests that inflammation might be the more likely way for periodontal pathogens to affect cardiovascular disease.</p>
<p>The role of inflammation is crucial in understanding the associations between periodontitis and cardiovascular disease. When periodontal tissues become inflamed, pro-inflammatory cytokines and other inflammatory mediators are released into the bloodstream (<xref ref-type="bibr" rid="B31">31</xref>). These inflammatory markers can directly affect the vascular endothelium. The systemic mediators of inflammation released from inflammatory periodontal tissues included C-reactive protein, interleukins and matrix metalloproteinases (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). Besides inflammatory cytokines, antibodies could also mediate system inflammation. Antibodies can stimulate the immune response and trigger an inflammatory cascade (<xref ref-type="bibr" rid="B34">34</xref>). Hajishengallis&#x0027; article summarized that, when antibodies recognize and bind to periodontal antigen, they can activate immune cells such as macrophages, neutrophils, and T cells to release pro-inflammatory molecules into blood vessels, promoting the development of atherosclerosis and contribute to cardiovascular risk (<xref ref-type="bibr" rid="B10">10</xref>). Pussinen, who had the most publications in our study, found that serum antibodies to <italic>Actinobacillus actinomycetemcomitans</italic> and <italic>Porphyromonas gingivalis</italic> were associated with coronary heart disease in a study containing 1,000 samples (<xref ref-type="bibr" rid="B35">35</xref>). Some studies suggested that antibodies produced against periodontal pathogens can cross-react with proteins present in cardiovascular tissues (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>). IgG anti&#x2013;beta-1-adrenorecepters extracted from periodontal patients could work against rat cardiac membranes <italic>in vitro</italic>. Those patients with periodontitis who had IgG anti&#x2013;beta-1-adrenorecepters had showed lower heart rate variability, which means impaired contractility of the heart (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>). When antibodies mistakenly recognize and target cardiovascular proteins due to their similarity to periodontal antigens, they can trigger an autoimmune-like response. This response can lead to chronic inflammation and contribute to the development of CVD. To sum up, studying how periodontal pathogens mediate the impact on cardiovascular disease through inflammation and inflammatory mediators is currently a research hotspot, and it holds great potential as a future research direction.</p>
<p>Moreover, certain genetic background can predispose patients to suffer from periodontitis and cardiovascular disease more easily than others. Teeuw WJ et al. (<xref ref-type="bibr" rid="B40">40</xref>) demonstrated a significant association between ANRIL and periodontitis, as well as an association between ANRIL variations and C reactive protein levels in periodontitis patients, further proving that genes are risk factors in both periodontitis and systemic inflammation.</p>
<p>Regarding the various cardiovascular diseases related to PD, the top 5 keywords included &#x201C;atherosclerosis,&#x201D; &#x201C;coronary heart disease,&#x201D; &#x201C;myocardial infarction,&#x201D; &#x201C;coronary artery disease,&#x201D; and &#x201C;acute myocardial infarction&#x201D; in our study. Atherosclerosis is the most common type of cardiovascular disease and a major cause of coronary heart disease, myocardial infarction, and other related complications. Epidemiologic studies have strongly associated periodontitis with atherosclerotic disease (<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B42">42</xref>). At least, 11 studies have reported positive associations between periodontitis and atherosclerotic cardiovascular disease (<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B42">42</xref>). Hayashida et al. reported a dose-dependent association between periodontal pocket depth and markers of atherosclerosis in 2013 (<xref ref-type="bibr" rid="B43">43</xref>). In Beukers&#x0027; study, which included 60,174 cases, periodontitis was linked with acute cardiovascular disease with an odds ratio of 2.52. In another study, periodontitis was found significantly associated with the incident of acute myocardial infarction, with an odds ratio of 2.4 (<xref ref-type="bibr" rid="B2">2</xref>). Moreover, G&#x00F3;rski et al. found that the extent of periodontitis was more strongly associated with acute myocardial infarction than the severity (<xref ref-type="bibr" rid="B44">44</xref>).</p>
<p>In addition to the previously mentioned epidemiological investigations, a multitude of biological plausibilities have been put forth to elucidate the connection between periodontal diseases and atherosclerosis (<xref ref-type="bibr" rid="B30">30</xref>). It is hypothesized that these bacteria may contribute to the formation and progression of atherosclerotic lesions. Available evidence has been presented and evaluated. The incidence rate of bacteremia can reach 49.4&#x0025; after periodontal treatments (<xref ref-type="bibr" rid="B45">45</xref>). At the same time, the bacteria associated with periodontal diseases, such as <italic>Porphyromonas gingivalis</italic>, have been found in atherosclerotic plaques with new approaches to target periodontal bacteria&#x0027;s DNA, RNA and antigens (<xref ref-type="bibr" rid="B46">46</xref>). Furthermore, some scholars have found live <italic>P. gingivalis</italic> in atheroma or isolated <italic>P. gingivalis</italic> from cultured atheromatous tissue (<xref ref-type="bibr" rid="B5">5</xref>). To further demonstrate the role of periodontal infections in cardiovascular diseases, periodontal pathogens have been colonized on different animal models and proven to induce or promote atherosclerotic lesions. On the contrary, the noninvasive mutant of <italic>P. gingivalis</italic> did not promote atherosclerosis and induced fewer pro-inflammatory mediators than the wild type (<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B48">48</xref>).</p>
<p>Besides atherosclerosis, endocarditis is also believed to be associated with periodontitis (<xref ref-type="bibr" rid="B49">49</xref>). The bacteria present in the periodontal pockets can travel through the bloodstream and reach other parts of the body, including the heart (<xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B51">51</xref>). The bacteria can form clumps or colonies on the valves, leading to the formation of infective endocarditis lesions. These lesions can cause inflammation and damage to the heart tissues. According to Herbert Deppe&#x0027;s study, 10&#x0025; of bacterial sources of infective endocarditis are from oral pathogens (<xref ref-type="bibr" rid="B52">52</xref>). Furthermore, Rinaldo et al. also reported that infective endocarditis in patients with heart valve prostheses was mainly caused by oral bacteria in young male adults in Brazil and 77&#x0025; of infective endocarditis cases were at high or moderate risk for periodontal disease (<xref ref-type="bibr" rid="B53">53</xref>).</p>
<p>Apart from the extensively studied roles, certain prominent subjects have significantly contributed to the interplay between periodontitis and CVD. However, those topics need further research to clarify their roles, such as COVID-19 and peri-implantitis.</p>
<p>In the aftermath of the COVID-19 pandemic, numerous studies (<xref ref-type="bibr" rid="B3">3</xref>) (<xref ref-type="bibr" rid="B54">54</xref>&#x2013;<xref ref-type="bibr" rid="B56">56</xref>) have surfaced suggesting a potential connection between periodontitis and COVID-19, both of which appear to induce and exacerbate various cardiometabolic complications (<xref ref-type="bibr" rid="B57">57</xref>). The nexus between COVID-19 and PD is intricate and multifaceted, with evidence implying a shared inflammatory pathophysiology (<xref ref-type="bibr" rid="B58">58</xref>). This inflammation can instigate endothelial dysfunction, oxidative stress, and coagulation irregularities, thereby fostering the onset of cardiometabolic complications (<xref ref-type="bibr" rid="B59">59</xref>), including cardiovascular disease, type 2 diabetes, and metabolic syndrome. Several researchers have highlighted the possible role of oral bacteria and their byproducts in triggering systemic inflammation, thereby contributing to the progression of COVID-19 and associated cardiometabolic complications (<xref ref-type="bibr" rid="B35">35</xref>). Recent findings further underscore that individuals with periodontal disease (<xref ref-type="bibr" rid="B60">60</xref>) or cardiovascular disease (<xref ref-type="bibr" rid="B61">61</xref>) exhibit a higher susceptibility to severe COVID-19 infection. Therefore, in the current scenario of coexistence between humans and the COVID-19 virus, it is crucial to manage these underlying conditions to reduce the risk of severe outcomes in the event of a COVID-19 infection.</p>
<p>Peri-implantitis is characterized by inflammation, bleeding, bone loss, and potential implant failure which is deeply related to periodontal tissue. Some studies have indicated that there might be a correlation between the presence of peri-implantitis and an increased risk of cardiovascular disease (<xref ref-type="bibr" rid="B62">62</xref>, <xref ref-type="bibr" rid="B63">63</xref>). It has been proposed that the chronic inflammation associated with peri-implantitis could contribute to the development or progression of cardiovascular conditions (<xref ref-type="bibr" rid="B64">64</xref>). Hom-Lay Wang&#x0027;s studies showed that 64.6&#x0025; of peri-implantitis was found in CVD patients, while only 56.5&#x0025; of peri-implantitis was found in the controls (<xref ref-type="bibr" rid="B65">65</xref>). Moreover, IL-1&#x03B2; and TNF-&#x03B1; were significantly higher in CVD patients, which were significant markers for peri-implantitis (<xref ref-type="bibr" rid="B66">66</xref>). Inflammation plays a crucial role in the pathogenesis of atherosclerosis, the underlying cause of many cardiovascular diseases. The theory suggests that the systemic inflammatory response triggered by peri-implantitis could potentially contribute to the development or worsening of cardiovascular problems.</p>
<p>While the exact nature of the relationship between periodontitis and cardiovascular disease is still being explored, research studies have shown an association between the two. It is important to note that association does not necessarily imply causation, and more research is needed to establish a definitive cause-and-effect relationship. Nevertheless, the current bibliometric studies above not only help us to understand the relationship between periodontitis and cardiovascular disease by analyzing the keyword trends in recent years, but also show us potential general directions for future research. Given that our study&#x0027;s primary recommendations encompass periodontal pathogens (notably <italic>Porphyromonas gingivalis</italic>), inflammation, and atherosclerosis, we propose that future research endeavors focus on these three trajectories. The exigency for research in these three dimensions becomes particularly evident in the concluding lines of our article.</p>
<p>This study provides a systematic summary of global publication trends, aiding scholars in identifying essential authors, institutions, and journals within the field of interest. Moreover, through keyword and co-citation clustering analysis, this study offers valuable guidance to researchers in selecting promising research directions within the subject area. Future research in this domain should aim to conduct longitudinal studies with larger sample sizes to provide more robust evidence of the relationship between periodontitis and CVD. Rigorous clinical trials will help determine whether treating periodontal disease has a tangible impact on cardiovascular health and vice versa. Positive findings from such trials could revolutionize treatment approaches, leading to integrated management plans that address both diseases simultaneously. This holistic approach has the potential to yield improved patient outcomes and quality of life. Additionally, fostering multidisciplinary collaboration among dental practitioners, cardiovascular specialists, immunologists, and researchers from related fields can foster a robust exchange of knowledge and innovative ideas. The collective expertise and resources can accelerate the pace of research, driving forward novel discoveries and therapeutic breakthroughs. Anticipated future collaborations among authors, institutions, and countries are likely to expedite the development of research in the realm of periodontitis and CVD.</p>
</sec>
<sec id="s5"><label>5.</label><title>Limitation</title>
<p>The study is not without limitations. First, due to constraints in the currently utilized scientometric software, combining multiple databases for analysis proves challenging. Consequently, this study relied solely on the WoSCC database for literature screening, potentially leading to the omission of relevant publications. To address this limitation, future efforts will involve the inclusion of additional databases for analysis. Second, the inclusion of only English articles in this article resulted in a reduced pool of retrieved articles. Third, certain recently published literature updates were regrettably omitted. Furthermore, the lack of a unified standard for configuring CiteSpace, VOSviewer, and Bibliometrix settings introduces the possibility of deviations in the visual analysis. Additionally, the uneven quality of the collected literature data can compromise the credibility of the generated atlas.</p>
</sec>
<sec id="s6"><label>6.</label><title>Conclusion</title>
<p>In conclusion, the results of the visual analysis provide a comprehensive overview of the current landscape of research on periodontitis and CVD, offering valuable insights for future research directions. The highest number of articles originated from the USA, Japan, and Sweden; the University of Helsinki and Karolinska Institute emerged as the leading publishers; and eminent scholars include professors D&#x0027;Aiuto, Francesco and Beck, James D. Current research targets the periodontitis-CVD mechanism, highlighting microbial co-initiators like <italic>Porphyromonas gingivalis</italic> and the key shared mechanism of inflammation. The strong association between atherosclerosis and periodontitis is well-established. However, it requires more research for a definitive cause-and-effect relationship between PD and CVD. Furthermore, it is crucial for future research to explore the development of therapeutic management strategies for both two diseases that effectively balance systemic and oral health care. Additionally, fostering collaborative relationships among authors and regions to establish standardized industry-recognized guidelines and consensus are highly necessary.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="data-availability"><title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s8" sec-type="author-contributions"><title>Author contributions</title>
<p>KT: Conceptualization, Formal Analysis, Methodology, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. YW: Data&#x2013;curation, Software, Visualization, Writing &#x2013; original draft. QZ: Writing &#x2013; review &#x0026; editing and XC: Funding&#x2013;acquisition, Methodology, Resources, Supervision, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information"><title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article.</p>
<p>This work was supported by Zhejiang traditional Chinese medicine science and technology plan project (2021ZB176). State Key Laboratory of Oral Diseases Open Fund (SKLOD2023OF05). Zhejiang Provincial Natural Science Foundation of China: LY18H140001; National Natural Science Foundation of China: 81400511; Key R&#x0026;D Program of Zhejiang (No 2023C03072). XC is sponsored by the Zhejiang Provincial Program for the Cultivation of High-level Innovative Health Talents. R&#x0026;D Program of the Stomatology Hospital of Zhejiang University School of Medicine (RD2022DLYB03, RD2022JCEL04).</p>
</sec>
<sec id="s10" 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="s12" 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="s11" 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/fcvm.2023.1255722/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcvm.2023.1255722/full&#x0023;supplementary-material</ext-link></p>
<supplementary-material id="SD1" content-type="local-data">
<media mimetype="application" mime-subtype="vnd.openxmlformats-officedocument.wordprocessingml.document" xlink:href="Table1.docx"/>
</supplementary-material>
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