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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">845386</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2022.845386</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Effectiveness Comparisons of Drug Therapy on Chronic Subdural Hematoma Recurrence: A Bayesian Network Meta-Analysis and Systematic Review</article-title>
<alt-title alt-title-type="left-running-head">Yu et&#x20;al.</alt-title>
<alt-title alt-title-type="right-running-head">Drug Therapy on CSDH Recurrence</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Yu</surname>
<given-names>Wanli</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Weifu</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jiang</surname>
<given-names>Yongxiang</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ma</surname>
<given-names>Mincai</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Wei</given-names>
</name>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Xiaolin</given-names>
</name>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Cheng</surname>
<given-names>Yuan</given-names>
</name>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1616529/overview"/>
</contrib>
</contrib-group>
<aff>
<institution>Department of Neurosurgery</institution>, <institution>The Second Affiliated Hospital of Chongqing Medical University</institution>, <addr-line>Chongqing</addr-line>, <country>China</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/615711/overview">Poornima Venkat</ext-link>, Henry Ford Health System, United&#x20;States</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/1302807/overview">Dhan Shrestha</ext-link>, Mangalbare Hospital, Nepal</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1047391/overview">Jefferson W. Chen</ext-link>, University of California, Irvine, United&#x20;States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Xiaolin Zhang, <email>zhangxlpt@163.com</email>; Yuan Cheng, <email>Chengyuan@hospital.cqmu.edu.cn</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Neuropharmacology, a section of the journal Frontiers in Pharmacology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>17</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>845386</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>12</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>02</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Yu, Chen, Jiang, Ma, Zhang, Zhang and Cheng.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Yu, Chen, Jiang, Ma, Zhang, Zhang and Cheng</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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&#x20;terms.</p>
</license>
</permissions>
<abstract>
<p>
<bold>Objectives:</bold> We aim to compare the effectiveness of different drug treatments in improving recurrence in patients with chronic subdural hematoma (CSDH).</p>
<p>
<bold>Methods:</bold> Eligible randomized controlled trials (RCTs) and prospective trials were searched in PubMed, Cochrane Library, and Embase, from database inception to December 2021. After the available studies following inclusion and exclusion criteria were screened, the main outcome measures were strictly extracted. Taking the random-effects model, dichotomous data were determined and extracted by odds ratio (OR) with 95% credible interval (CrI), and a surface under the cumulative ranking curve (SUCRA) was generated to calculate the ranking probability of comparative effectiveness among each drug intervention. Moreover, we used the node-splitting model to evaluate inconsistency between direct and indirect comparisons of our network meta-analysis (NMA). Funnel plots were used to evaluate publication&#x20;bias.</p>
<p>
<bold>Results:</bold> From the 318 articles found during initial citation screening, 11 RCTs and 3 prospective trials (<italic>n</italic>&#x20;&#x3d; 3,456 participants) were ultimately included in our study. Our NMA results illustrated that atorvastatin &#x2b; dexamethasone (ATO&#x2b;DXM) (OR &#x3d; 0.06, 95% CrI 0.01, 0.89) was the most effective intervention to improve recurrence in patients with CSDH (SUCRA &#x3d; 89.40%, 95% CrI 0.29, 1.00). Four drug interventions [ATO&#x2b;DXM (OR &#x3d; 0.06, 95% CrI 0.01, 0.89), DXM (OR &#x3d; 0.18, 95% CrI 0.07, 0.41), tranexamic acid (TXA) (OR &#x3d; 0.26, 95% CrI 0.07, 0.41), and ATO (OR &#x3d; 0.41, 95% CrI 0.12, 0.90)] achieved statistical significance in improving recurrence in CSDH patients compared with the placebo (PLB) or standard neurosurgical treatment (SNT)&#x20;group.</p>
<p>
<bold>Conclusion:</bold> Our NMA showed that ATO&#x2b;DXM, DXM, ATO, and TXA had definite efficacy in improving recurrence in CSDH patients. Among them, ATO&#x2b;DXM is the best intervention for improving recurrence in patients with CSDH in this particular population. Multicenter rigorous designed prospective randomized trials are still needed to evaluate the role of various drug interventions in improving neurological function or outcome.</p>
<p>
<bold>Systematic Review Registration:</bold> (<ext-link ext-link-type="uri" xlink:href="https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=299491">https://www.crd.york.ac.uk/prospero/display_record.php?RecordID&#x003D;299491</ext-link>), identifier (CRD 42022299491).</p>
</abstract>
<kwd-group>
<kwd>chronic subdural hematoma</kwd>
<kwd>recurrence</kwd>
<kwd>drug therapy</kwd>
<kwd>effectiveness</kwd>
<kwd>Bayesian network chronic subdural hematoma</kwd>
<kwd>Bayesian network meta-analysis</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Chronic subdural hematoma (CSDH) is a common neurologic disorder that mainly affects the elderly, and the morbidity of CSDH has been reported to be up to 20.6 per 100,000 persons per year (<xref ref-type="bibr" rid="B57">Yang and Huang, 2017</xref>). Besides the fact that the population of patients with CSDH is still growing in an aging society (<xref ref-type="bibr" rid="B2">Balser et&#x20;al., 2015</xref>; <xref ref-type="bibr" rid="B35">Rauhala et&#x20;al., 2019</xref>), slow bleeding from vascular injury after head trauma has been considered as the main cause of CSDH development, and treatment with burr-hole craniotomy often improves patients&#x2019; symptoms definitely, but a prominent problem is that CSDH often recurs (33%) and always results in poor outcomes (<xref ref-type="bibr" rid="B58">Zhang, 2021</xref>). However, the pathogenesis involved in the recurrence of CSDH remains unclear. Some literature indicated that the recurrence formation of CSDH mainly includes the theories of inflammation (<xref ref-type="bibr" rid="B8">Frati et&#x20;al., 2004</xref>), angiogenesis (<xref ref-type="bibr" rid="B15">Hohenstein et&#x20;al., 2005</xref>), exudates (<xref ref-type="bibr" rid="B50">Thomas et&#x20;al., 2019</xref>), recurrent microbleeds, and local coagulopathy (<xref ref-type="bibr" rid="B16">Holl et&#x20;al., 2018</xref>). Therefore, many related drug therapies that could help resolve the recurrence of CSDH have emerged, thus avoiding multiple repeat surgeries for CSDH. Steroids may bring antiangiogenic and anti-inflammatory effects (<xref ref-type="bibr" rid="B23">Kalamatianos et&#x20;al., 2013</xref>), tranexamic acid (TXA) may exert an antifibrinolytic effect (<xref ref-type="bibr" rid="B6">de Faria et&#x20;al., 2021</xref>), and goreisan (GRS) acts on aquaporin to regulate water permeability, so it can inhibit the formation and growth of CSDH theoretically. In the case of understanding the underlying pathophysiological processes described above, many previous clinical trials of drugs have been performed on CSDH patients after surgery to improve the recurrence, but few drugs have been rigorously compared and ranked according to their effectiveness in a study, and optimal drug interventions are still being debated (<xref ref-type="bibr" rid="B16">Holl et&#x20;al., 2018</xref>). Accordingly, we had analyzed the existing evidence and presented a first Bayesian network meta-analysis (NMA) to identify the most effective drug intervention that could improve the recurrence in patients with CSDH from a macroscopic aspect by comparing multiple treatments simultaneously.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and Methods</title>
<p>This study followed guidance and reports for systematic reviews in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) NMA checklist (<xref ref-type="bibr" rid="B20">Hutton et&#x20;al., 2015</xref>) and the Cochrane Handbook (<xref ref-type="bibr" rid="B5">Cochrane Handbook for Systematic Reviews of Interventions, 2011</xref>). All the analyses were based on the previously published research; therefore, they do not require ethical approval and patient consent.</p>
<sec id="s2-1">
<title>Literature Search</title>
<p>Extensive preliminary literature retrieval was done by searching PubMed, Embase, and Cochrane Central Register of Controlled Trials without restriction by year and language, to identify all relevant prospective studies and randomized controlled trials (RCTs) from their inception to December 1, 2021. The Medical Subject Headings (MeSH) and text terms were combined with Boolean logical operators using &#x201c;Chronic subdural hematoma,&#x201d; &#x201c;Tranexamic acid,&#x201d; &#x201c;Dexamethasone,&#x201d; &#x201c;Atorvastatin,&#x201d; &#x201c;Goreisan,&#x201d; &#x201c;Celecoxib,&#x201d; &#x201c;Antithrombotic,&#x201d; &#x201c;Prospective cohort studies,&#x201d; &#x201c;Randomized controlled trials,&#x201d; and other relevant conceptual keywords. The detailed search strategies and links of the final search citations are summarized in the Supplementary Material search strategies.</p>
</sec>
<sec id="s2-2">
<title>Selection Criteria</title>
<p>The whole eligible citations were evaluated, the title and abstract of the citations gained from the search were filtered, and citations that failed to meet the inclusion criteria or were repeatedly published were excluded. The full text was read carefully to further assess the articles&#x2019; relevance according to the inclusion criteria. Additionally, the references in the included articles were evaluated to further explore the relevant research. All citations were downloaded and regulated in Endnote X9 (Thompson ISI Research Soft, Philadelphia, PA,&#x20;USA).</p>
</sec>
<sec id="s2-3">
<title>Inclusion and Exclusion Criteria</title>
<p>The inclusion criteria were set as follows: 1) all included patients were clearly diagnosed with CSDH; 2) comparative studies include RCTs or prospective studies; 3) each trial should include at least 20 patients; 4) main outcome measures are clearly reported.</p>
<p>The exclusion criteria are as follows: 1) recurrent CSDH and 2) patients &#x3c;18&#xa0;years&#x20;old.</p>
<p>The main outcome measurements were set as recurrence rates in patients with CSDH. Recurrence was defined as the occurrence of symptomatic CSDH that required reoperation or needed a new intervention during the study period.</p>
</sec>
<sec id="s2-4">
<title>Data Abstraction and Quality Appraisal</title>
<p>Two authors (WL-Y and XL-Z) independently extracted and summarized the data that met the inclusion and exclusion criteria. The demographic characteristics and geographic data of all included articles were first analyzed against a pre-customized outcome data collection table. Study name, first author, publication year, country and region, basic characteristics, and other relevant data were extracted as baseline&#x20;data.</p>
<p>The Cochrane Bias Risk Tool was used to evaluate the risk of bias (ROB) in the included studies using the software Review Manager (Version 5.4) (<xref ref-type="bibr" rid="B5">Cochrane Handbook for Systematic Reviews of Interventions, 2011</xref>). The Cochrane bias risk criteria included the following six components: selection bias, performance bias, detection bias, attrition bias, reporting bias, and other sources of&#x20;bias.</p>
</sec>
<sec id="s2-5">
<title>Statistical Analyses</title>
<p>Minimally informative prior distributions of the Bayesian random-effects model were used to combine direct and indirect evidence and by forming a connection network to compare various drug interventions simultaneously, and the multivariate meta-analysis was adopted. Conventional pairwise meta-analyses across comparisons available for each contrast were conducted; placebo (PLB) or standard neurosurgical treatment (SNT) group was the designated control group for pairwise meta-analysis. A network plot was drawn to briefly present all the available evidence of each treatment therapy, with distinct treatment expressed by different nodes, and trials are expressed by lines joining appropriate nodes. Then, a funnel plot was drawn, which was analyzed by Egger&#x2019;s test (<xref ref-type="bibr" rid="B38">Seagroatt and Stratton, 1998</xref>) to detect any types of bias, such as small sample effect or selective reporting bias. The above analyses were performed in STATA, version 16.0 (College Station, TX,&#x20;USA).</p>
<p>In order to estimate the unique and primary outcome, our NMA was performed non-informatively prior to distributions and by using the Markov chain Monte Carlo (MCMC) method under a Bayesian framework (<xref ref-type="bibr" rid="B29">Mavridis and Salanti, 2013</xref>; <xref ref-type="bibr" rid="B13">Green and Worden, 2015</xref>) in OpenBUGS (version 3.2.3 rev 1012). Odds ratio (OR) and 95% CrI were calculated as the pooled relative effect and estimate uncertainly, respectively. Under the circumstances of randomly selecting the state, three Markov chains were selected for the initial value setting, the number of iterations for the initial update was set as 50,000 for each chain, and the first 10,000 annealings were discarded to eliminate the influence of the initial value bias, and sampling started after 10,001. The iterative convergence was evaluated by Gelman&#x2013;Rubin&#x2013;Brooks diagnosis. Random- or fixed-effect models were selected regarding the deviance information criterion (DIC) value, and it is generally believed that the DIC value is as small as possible. The details of the Open BUGS code are presented in Supplementary Material Bayesian categorical code. The treatment rank probability was calculated, and the surface under the cumulative ranking curve (SUCRA) was generated to display the cumulative ranking probability plots of different interventions included. A higher SUCRA value indicates a better intervention effect. For the closed loop formed by the intervention in the entire network, the &#x201c;node-splitting&#x201d; technique (<xref ref-type="bibr" rid="B51">van Valkenhoef et&#x20;al., 2016</xref>) was used to test the inconsistency, and <italic>p</italic>-value &#x3e; 0.05 indicates no inconsistency (<xref ref-type="bibr" rid="B44">Stang, 2010</xref>).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Baseline Characteristics</title>
<p>Through database search, 318 articles were preliminarily screened, and additional 13 articles were obtained by tracking the references of the originally screened articles. Then 128 duplicates and other 146 articles were eliminated after reading the title and abstract. After full-text examination of the remaining articles, 42 articles were excluded, as 28 articles were not RCTs or prospective studies, 3 articles did not include more than 20 patients, 7 articles were without relevant main outcome or reported data that cannot be extracted, 3 articles were without a control group, and 1 article was retracted. Finally, 14 articles (<xref ref-type="bibr" rid="B46">Sun et&#x20;al., 2005</xref>; <xref ref-type="bibr" rid="B34">Prud&#x2019;homme et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B37">Schaumann et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B3">Brennan et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B21">Jiang et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B25">Katayama et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B52">Wan et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B19">Hutchinson et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B53">Wang et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B30">Mebberson et&#x20;al., 2020</xref>; <xref ref-type="bibr" rid="B56">Yamada and Natori, 2020</xref>; <xref ref-type="bibr" rid="B10">Fujisawa et&#x20;al., 2021</xref>; <xref ref-type="bibr" rid="B49">Tariq and Bhatti, 2021</xref>; <xref ref-type="bibr" rid="B33">Poon et&#x20;al., 2021</xref>), including 6 drug interventions and involving a total of 3,456 patients, were included in our NMA. <xref ref-type="fig" rid="F1">Figure&#x20;1</xref> shows the processing of literature selection.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Screening chart graph. Abbreviations: TXA, tranexamic acid; DXM, dexamethasone; ATO, atorvastatin; GRS, goreisan; CLX, celecoxib; ATO&#x2b;DXM, atorvastatin plus dexamethasone; ATB, antithrombotic; PLB or SNT, placebo or standard neurosurgical treatment; RCT, randomized controlled study.</p>
</caption>
<graphic xlink:href="fphar-13-845386-g001.tif"/>
</fig>
<p>The included studies were published from 2005 to 2021. <xref ref-type="table" rid="T1">Table&#x20;1</xref> summarizes the major characteristics of participants and drug interventions of the 14 included trials. The participants included in each study were all CSDH patients. Twelve articles were RCTs, and 2 articles were prospective studies. The duration of treatments varied from 2 to 12 weeks. According to available data, 71.88% of patients were male, and all included patients&#x2019; mean age ranged from 63.0 to 79.2&#xa0;years. Three of the included articles used conservative basic treatment in patients with CSDH, burr hole alone was used in 5 articles as their basic treatment, burr hole or craniotomy was used in 4 articles, and the remaining 2 articles included both conservative and burr-hole treatment in patients.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Characteristics of included studies.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Publication</th>
<th align="center">Study design</th>
<th align="center">Treatments and sample size</th>
<th align="center">Mean age (years, &#xb1;SD)</th>
<th align="center">Gender (male)</th>
<th align="center">Basic treatment</th>
<th align="center">Doses</th>
<th align="center">Treatment duration</th>
<th align="center">Recruiting area</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Wan 2020</td>
<td align="left">RCT</td>
<td align="center">TXA &#x3d; 41 versus SNT &#x3d; 49</td>
<td align="center">72.02&#x20;&#xb1; 11.79 versus 69.57&#x20;&#xb1; 13.69</td>
<td align="char" char="(">60 (66.7)</td>
<td align="left">Burr hole or craniotomy</td>
<td align="left">500&#xa0;mg twice daily</td>
<td align="left">3&#xa0;weeks</td>
<td align="left">Singapore</td>
</tr>
<tr>
<td align="left">Jiang 2018</td>
<td align="left">RCT</td>
<td align="center">ATO &#x3d; 98 versus PLB &#x3d; 98</td>
<td align="center">63&#x20;&#xb1; 12.84 versus 67&#x20;&#xb1; 12.64</td>
<td align="char" char="(">169 (86.2)</td>
<td align="left">Conservative</td>
<td align="left">20&#xa0;mg nightly</td>
<td align="left">8&#xa0;weeks</td>
<td align="left">China</td>
</tr>
<tr>
<td align="left">Hutchinson 2020</td>
<td align="left">RCT</td>
<td align="center">DXM &#x3d; 375 versus PLB &#x3d; 373</td>
<td align="center">74.5&#x20;&#xb1; 11.8 versus 74.3&#x20;&#xb1; 11</td>
<td align="char" char="(">554 (74.1)</td>
<td align="left">COB</td>
<td align="left">Total 124&#xa0;mg of 2 weeks&#x203b;</td>
<td align="left">2&#xa0;weeks</td>
<td align="left">United&#x20;Kingdom</td>
</tr>
<tr>
<td align="left">Prud&#x2019;homme 2015</td>
<td align="left">RCT</td>
<td align="center">DXM &#x3d; 10 versus PLB &#x3d; 10</td>
<td align="center">69.4&#x20;&#xb1; 8.8 versus 72.3&#x20;&#xb1; 6.3</td>
<td align="char" char="(">18 (90.0)</td>
<td align="left">Conservative</td>
<td align="left">4&#xa0;mg three times a day</td>
<td align="left">3&#xa0;weeks</td>
<td align="left">Canada</td>
</tr>
<tr>
<td align="left">Mebberson 2019</td>
<td align="left">RCT</td>
<td align="center">DXM &#x3d; 23 versus PLB &#x3d; 24</td>
<td align="center">73.39&#x20;&#xb1; 15.4 versus 75.13&#x20;&#xb1; 15.5</td>
<td align="char" char="(">34 (72.3)</td>
<td align="left">Burr hole or craniotomy</td>
<td align="left">Total 128&#xa0;mg of 2&#xa0;weeks<sup>&#xb6;</sup>
</td>
<td align="left">2&#xa0;weeks</td>
<td align="left">Australia</td>
</tr>
<tr>
<td align="left">Sun 2005</td>
<td align="left">Prospective</td>
<td align="center">DXM &#x3d; 95 versus PLB &#x3d; 17</td>
<td align="center">73.85&#x20;&#xb1; 10.6</td>
<td align="char" char="(">63 (56.3)</td>
<td align="left">COB</td>
<td align="left">4&#xa0;mg four times a day</td>
<td align="left">3&#xa0;weeks</td>
<td align="left">Hong Kong</td>
</tr>
<tr>
<td align="left">Katayama 2018</td>
<td align="left">RCT</td>
<td align="center">GRS &#x3d; 92 versus SNT &#x3d; 88</td>
<td align="center">75.8&#x20;&#xb1; 9.53 versus 75.9&#x20;&#xb1; 8.08</td>
<td align="char" char="(">137 (76.1)</td>
<td align="left">Burr hole</td>
<td align="left">750&#xa0;mg three times per day</td>
<td align="left">12&#xa0;weeks</td>
<td align="left">Japan</td>
</tr>
<tr>
<td align="left">Yamada 2019</td>
<td align="left">RCT</td>
<td align="center">GRS &#x3d; 78 versus TXA &#x3d; 72 versus SNT &#x3d; 82</td>
<td align="center">79.2&#x20;&#xb1; 8.7 versus 78.2&#x20;&#xb1; 9.2 versus 78.8&#x20;&#xb1; 10.8</td>
<td align="char" char="(">150 (64.7)</td>
<td align="left">Burr hole</td>
<td align="left">750&#xa0;mg three times per day</td>
<td align="left">12&#xa0;weeks</td>
<td align="left">Japan</td>
</tr>
<tr>
<td align="left">Schaumann 2016</td>
<td align="left">RCT</td>
<td align="center">CLX &#x3d; 10 versus SNT &#x3d; 13</td>
<td align="center">68.0 versus 71.0</td>
<td align="char" char="(">16 (69.6)</td>
<td align="left">Burr hole</td>
<td align="left">200&#xa0;mg twice daily</td>
<td align="left">4&#xa0;weeks</td>
<td align="left">Germany</td>
</tr>
<tr>
<td align="left">Fujisawa 2020</td>
<td align="left">RCT</td>
<td align="center">GRS &#x3d; 104 versus SNT &#x3d; 104</td>
<td align="center">74&#x20;&#xb1; 3.38 versus 74&#x20;&#xb1; 2.99</td>
<td align="char" char="(">153 (73.6)</td>
<td align="left">Burr hole</td>
<td align="left">750&#xa0;mg three times per day</td>
<td align="left">12&#xa0;weeks</td>
<td align="left">Japan</td>
</tr>
<tr>
<td align="left">Wang 2019</td>
<td align="left">RCT</td>
<td align="center">ATO&#x2b;DXM &#x3d; 104 versus ATO &#x3d; 104</td>
<td align="center">69.37&#x20;&#xb1; 10.9 versus 63.83&#x20;&#xb1; 13.73</td>
<td align="char" char="(">45 (75.0)</td>
<td align="left">Conservative</td>
<td align="left">Special dose&#x2a;</td>
<td align="left">5&#xa0;weeks</td>
<td align="left">China</td>
</tr>
<tr>
<td align="left">Brennan 2016</td>
<td align="left">Prospective</td>
<td align="center">ATB &#x3d; 161 versus SNT &#x3d; 523</td>
<td align="center">76.49&#x20;&#xb1; 12.7</td>
<td align="char" char="(">465 (68)</td>
<td align="left">Burr hole or craniotomy</td>
<td align="left">NP</td>
<td align="left">1&#x2013;44&#xa0;d</td>
<td align="left">United&#x20;Kingdom</td>
</tr>
<tr>
<td align="left">Tariq 2021</td>
<td align="left">RCT</td>
<td align="center">DXM &#x3d; 46 versus SNT &#x3d; 46</td>
<td align="center">62.7&#x20;&#xb1; 12.9 versus 63.8&#x20;&#xb1; 12.7</td>
<td align="char" char="(">67 (72.8)</td>
<td align="left">Burr hole</td>
<td align="left">Total 134&#xa0;mg of 2&#xa0;weeks&#x23;</td>
<td align="left">2&#xa0;weeks</td>
<td align="left">Pakistan</td>
</tr>
<tr>
<td align="left">Poon 2018</td>
<td align="left">Prospective</td>
<td align="center">ATB &#x3d; 328 versus SNT &#x3d; 436</td>
<td align="center">78.9&#x20;&#xb1; 1.8 versus 74.9&#x20;&#xb1; 3.5</td>
<td align="char" char="(">553 (72.4)</td>
<td align="left">Burr hole or craniotomy</td>
<td align="left">NP</td>
<td align="left">NP</td>
<td align="left">Sweden</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Note. TXA, tranexamic acid; DXM, dexamethasone; ATO, atorvastatin; GRS, goreisan; CLX, celecoxib; ATO&#x2b;DXM, atorvastatin plus dexamethasone; ATB, antithrombotic; PLB or SNT, placebo or standard neurosurgical treatment; RCT, randomized controlled study; COB, conservative or burr hole; NP, not reported.</p>
</fn>
<fn>
<p>
<sup>&#x203b;</sup>Total 124&#xa0;mg of 2&#xa0;weeks: oral 8&#xa0;mg twice daily on days 1&#x2013;3, then 6&#xa0;mg twice daily on days 4&#x2013;6, then 4&#xa0;mg twice daily on days 7&#x2013;9, then 2&#xa0;mg twice daily on days 10&#x2013;12, and then 2&#xa0;mg once daily on days 13 and&#x20;14.</p>
</fn>
<fn>
<p>
<sup>
<bold>&#xb6;</bold>
</sup>Total 128&#xa0;mg of 2&#xa0;weeks: oral 4&#xa0;mg as 1 capsule 4&#x20;times a day for 3&#xa0;days, then 1 capsule 3&#x20;times a day for 3&#xa0;days, then 1 capsule twice daily for 3&#xa0;days, and finally 1 capsule daily thereafter.</p>
</fn>
<fn>
<p>
<sup>
<bold>&#x2a;</bold>
</sup>Special dose: DXM 2.25&#xa0;mg daily for 2&#xa0;weeks followed by 0.75&#xa0;mg twice daily for 2&#xa0;weeks and subsequently at 0.75&#xa0;mg once a day for 1&#xa0;week and ATO 20&#xa0;mg nightly.</p>
</fn>
<fn>
<p>
<sup>
<bold>&#x23;</bold>
</sup>Total 134&#xa0;mg of 2&#xa0;weeks: 16&#xa0;mg dexamethasone was administered in 4 divided doses per day for the first 2 postoperative days and tapered in 3-mg decrements every 3&#xa0;days.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>We extracted the relevant data of the included trials and summarized it in <xref ref-type="table" rid="T2">Table&#x20;2</xref>. The results showed that all trials reported the recurrence rates, and the overall recurrence rate was about 6% (range from 0% to 11.2%) in the intervention group and 13.6% (range from 4.3% to 30%) in the control&#x20;group.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Recurrence rates of included studies in our NMA.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Publication</th>
<th colspan="2" align="center">Recurrence rates (%)</th>
<th rowspan="2" align="center">OR or HR (95%CI)</th>
<th rowspan="2" align="center">
<italic>p</italic>-Value</th>
</tr>
<tr>
<th align="center">IG</th>
<th align="center">CG</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Wan 2020</td>
<td align="center">TXA: 4.8</td>
<td align="center">SNT: 10.2</td>
<td align="center">0.51 (0.11&#x2013;2.47)</td>
<td align="center">0.221</td>
</tr>
<tr>
<td align="left">Jiang 2018<sup>&#x23;</sup>
</td>
<td align="center">ATO: 11.2</td>
<td align="center">PLB: 23.5</td>
<td align="center">0.47 (0.24&#x2013;2.92)</td>
<td align="center">0.03</td>
</tr>
<tr>
<td align="left">Hutchinson 2020</td>
<td align="center">DXM: 1.7</td>
<td align="center">PLB: 7.1</td>
<td align="center">NP</td>
<td align="center">NP</td>
</tr>
<tr>
<td align="left">Prud&#x2019;homme 2015</td>
<td align="center">DXM: 10.0</td>
<td align="center">PLB: 30.0</td>
<td align="center">NP</td>
<td align="center">NP</td>
</tr>
<tr>
<td align="left">Mebberson 2019</td>
<td align="center">DXM: 0</td>
<td align="center">PLB: 20.8</td>
<td align="center">NP</td>
<td align="center">0.049</td>
</tr>
<tr>
<td align="left">Sun 2005</td>
<td align="center">DXM: 4.2</td>
<td align="center">PLB: 23.5</td>
<td align="center">NP</td>
<td align="center">NP</td>
</tr>
<tr>
<td align="left">Katayama 2018</td>
<td align="center">GRS: 9.8</td>
<td align="center">SNT: 12.5</td>
<td align="center">NP</td>
<td align="center">0.56</td>
</tr>
<tr>
<td rowspan="2" align="left">Yamada 2019<sup>&#x2a;</sup>
</td>
<td align="center">TXA: 1.4</td>
<td rowspan="2" align="center">SNT: 9.8</td>
<td rowspan="2" align="center">NP</td>
<td rowspan="2" align="center">0.083</td>
</tr>
<tr>
<td align="center">GRS: 9.0</td>
</tr>
<tr>
<td align="left">Schaumann 2016</td>
<td align="center">CLX: 10.0</td>
<td align="center">SNT: 10.0</td>
<td align="center">NP</td>
<td align="center">NP</td>
</tr>
<tr>
<td align="left">Fujisawa 2020</td>
<td align="center">GRS: 5.8</td>
<td align="center">SNT: 5.8</td>
<td align="center">0.42 (0.15&#x2013;1.17)</td>
<td align="center">0.09</td>
</tr>
<tr>
<td align="left">Wang 2019</td>
<td align="center">ATO&#x2b;DXM: 3.3</td>
<td align="center">ATO: 13.3</td>
<td align="center">NP</td>
<td align="center">0.353</td>
</tr>
<tr>
<td align="left">Brennan 2016</td>
<td align="center">ATB: 6.8</td>
<td align="center">SNT: 8.9</td>
<td align="center">NP</td>
<td align="center">NP</td>
</tr>
<tr>
<td align="left">Tariq 2021</td>
<td align="center">DXM: 2.2</td>
<td align="center">SNT: 4.3</td>
<td align="center">NP</td>
<td align="center">0.557</td>
</tr>
<tr>
<td align="left">Poon 2018</td>
<td align="center">ATB: 9.9</td>
<td align="center">SNT: 10.1</td>
<td align="center">NP</td>
<td align="center">0.93</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Note. TXA, tranexamic acid; DXM, dexamethasone; ATO, atorvastatin; GRS, goreisan; CLX, celecoxib; ATO&#x2b;DXM, atorvastatin plus dexamethasone; ATB, antithrombotic; PLB or SNT, placebo or standard neurosurgical treatment; IG, intervention group; CG, control group; OR, odds ratio; HR, hazard ratio; NP, not reported.</p>
</fn>
<fn>
<p>
<sup>&#x2a;</sup>Yamada 2019: this is a three-arm clinical&#x20;trial.</p>
</fn>
<fn>
<p>
<sup>&#x23;</sup>Jiang 2018: this trial used hazard&#x20;ratio.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>Risk of Bias Quality Assessment</title>
<p>Within the 14 included trials, 7 trials described in detail the random sequence generation and their approach of allocation concealment, and 6 trials described the blinding methods of participants and personnel. Four studies may have selective reporting bias, and only 2 studies may have incomplete data. The individual bias and overall bias of study-level quality are summarized in <xref ref-type="fig" rid="F2">Figures 2</xref>, <xref ref-type="fig" rid="F3">3</xref>, respectively.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Risk of bias assessment.</p>
</caption>
<graphic xlink:href="fphar-13-845386-g002.tif"/>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Summary of risk of bias assessment. Risk of bias of included randomized controlled trials or prospective trials (review authors&#x2019; judgments about each risk of bias item for each included study: &#x2b;, low risk; &#x2212;, high risk; ?, unclear risk).</p>
</caption>
<graphic xlink:href="fphar-13-845386-g003.tif"/>
</fig>
</sec>
<sec id="s3-3">
<title>Pairwise Meta-Analysis and Network Meta-Analysis Results</title>
<p>As shown in <xref ref-type="fig" rid="F4">Figure&#x20;4</xref>, our network plot illustrates those comparisons between the seven drug intervention groups. <xref ref-type="table" rid="T3">Table&#x20;3</xref> summarizes that dexamethasone (DXM) was most frequently included with 5 arms (<italic>n</italic>&#x20;&#x3d; 549), followed by GRS involving 3 arms (<italic>n</italic>&#x20;&#x3d; 274), atorvastatin (ATO) involving 1 arm (<italic>n</italic>&#x20;&#x3d; 98), TXA involving 2 arms (<italic>n</italic>&#x20;&#x3d; 113), antithrombotic (ATB) involving 2 arms (<italic>n</italic>&#x20;&#x3d; 489), celecoxib (CLX) involving 1 arm (<italic>n</italic>&#x20;&#x3d; 10), and ATO&#x2b;DXM involving 1 arm (<italic>n</italic>&#x20;&#x3d; 104), among which 2 studies were direct trials and 1 of them was a three-arm clinical&#x20;trial.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Network plot. Abbreviations: TXA, tranexamic acid; DXM, dexamethasone; ATO, atorvastatin; GRS, goreisan; CLX, celecoxib; ATO&#x2b;DXM, atorvastatin plus dexamethasone; ATB, antithrombotic; PLB or SNT, placebo or standard neurosurgical treatment.</p>
</caption>
<graphic xlink:href="fphar-13-845386-g004.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Efficacy of different intervention drugs compared to designated control&#x20;group.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Intervention drugs</th>
<th align="center">Number of arms</th>
<th align="center">Number of patients (IG vs. DCG<sup>&#x2a;</sup>)</th>
<th align="center">
</th>
<th align="center">OR (95%CrI)</th>
<th align="center">SUCRA (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">ATO&#x2b;DXM</td>
<td align="center">1</td>
<td align="center">104 vs. 98</td>
<td rowspan="7" align="left">
<inline-graphic xlink:href="fphar-13-845386-fx1.tif"/>
</td>
<td align="char" char="(">0.06 (0.01, 0.89)</td>
<td align="char" char="(">0.89 (0.29, 1.00)</td>
</tr>
<tr>
<td align="left">DXM</td>
<td align="center">5</td>
<td align="center">549 vs. 470</td>
<td align="char" char="(">0.18 (0.07, 0.41)</td>
<td align="char" char="(">0.78 (0.57, 1.00)</td>
</tr>
<tr>
<td align="left">TXA</td>
<td align="center">2</td>
<td align="center">113 vs. 121</td>
<td align="char" char="(">0.26 (0.07, 0.41)</td>
<td align="char" char="(">0.75 (0.43, 1.00)</td>
</tr>
<tr>
<td align="left">ATO</td>
<td align="center">1</td>
<td align="center">98 vs. 98</td>
<td align="char" char="(">0.41 (0.12, 0.90)</td>
<td align="char" char="(">0.54 (0.14, 0.86)</td>
</tr>
<tr>
<td align="left">GRS</td>
<td align="center">3</td>
<td align="center">274 vs. 274</td>
<td align="char" char="(">0.68 (0.32, 1.46)</td>
<td align="char" char="(">0.36 (0.00, 0.71)</td>
</tr>
<tr>
<td align="left">CLX</td>
<td align="center">1</td>
<td align="center">10 vs. 13</td>
<td align="char" char="(">1.33 (0.77, 24.3)</td>
<td align="char" char="(">0.25 (0.00, 1.00)</td>
</tr>
<tr>
<td align="left">ATB</td>
<td align="center">2</td>
<td align="center">489 vs. 959</td>
<td align="char" char="(">0.89 (0.42, 1.82)</td>
<td align="char" char="(">0.24 (0.00, 0.57)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Note. TXA, tranexamic acid; DXM, dexamethasone; ATO, atorvastatin; GRS, goreisan; CLX, celecoxib; ATO&#x2b;DXM, atorvastatin plus dexamethasone; ATB, antithrombotic; PLB or SNT, placebo or standard neurosurgical treatment; IG, intervention group; DCG, designated control group; CrI, credibility interval; SUCRA, the surface under the cumulative ranking curve; OR, odds&#x20;ratio.</p>
</fn>
<fn>
<p>
<sup>&#x2a;</sup>DCG: PLB or SNT was the designated control group for pairwise meta-analysis.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>As illustrated in <xref ref-type="fig" rid="F5">Figure&#x20;5</xref>, a total of 4 drugs were statistically significantly superior to the PLB or SNT group, including ATO&#x2b;DXM (OR &#x3d; 0.06, 95% CrI 0.01, 0.89), DXM (OR &#x3d; 0.18, 95% CrI 0.07, 0.41), TXA (OR &#x3d; 0.26, 95% CrI 0.07, 0.41), and ATO (OR &#x3d; 0.41, 95% CrI 0.12, 0.90). In addition, the efficacy of DXM and TXA was significantly higher than that of ATB, and the efficacy of DXM was also significantly higher than that of GRS. The remaining drug interventions (GRS: OR &#x3d; 0.68, 95% CrI 0.32, 1.46; CLX: OR &#x3d; 1.33, 95% CrI 0.07, 24.32; ATB: OR &#x3d; 0.89, 95% CrI 0.42, 1.82) were more likely to improve the recurrence in the patients compared with the PLB or SNT group, but these differences were not statistically significant.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Relative effect sizes of efficacy at posttreatment according to network meta-analysis. Abbreviation: SUCRA, the surface under the cumulative ranking&#x20;curve.</p>
</caption>
<graphic xlink:href="fphar-13-845386-g005.tif"/>
</fig>
<p>The SUCRA line was plotted to rank each drug intervention (shown in <xref ref-type="fig" rid="F5">Figures 5</xref> and <xref ref-type="fig" rid="F6">6</xref>), which showed that ATO&#x2b;DXM had the highest probability of improving the recurrence in CSDH patients (SUCRA &#x3d; 89.40%, 95% CrI 0.29, 1.00), while DXM (SUCRA &#x3d; 78.79%, 95% CrI 0.57, 1.00), TXA (SUCRA &#x3d; 75.74%, 95% CrI 0.43, 1.00), and ATO (SUCRA &#x3d; 54.18%, 95% CrI 0.14, 0.86) also had a good ranking among the 8 interventions compared with other 7 drug interventions. The remaining GRS (SUCRA &#x3d; 36.43%, 95% CrI 0.00, 0.71), CLX (SUCRA &#x3d; 25.00%, 95% CrI 0.00, 1.00), ATB (SUCRA &#x3d; 24.21%, 95% CrI 0.00, 0.57), and PLB or SNT (SUCRA &#x3d; 16.45%, 95% CrI 0.00, 0.43) had an inferior ranking. Testing for inconsistency resulted in no statistical significance (<italic>p</italic>-value &#x3d; 0.4672), and there also was no statistically significant inconsistency between direct and indirect comparisons tested by node-splitting technique (PLB or SNT vs. TXA <italic>p</italic>-value &#x3d; 0.399, PLB or SNT vs. ATO <italic>p</italic>-value &#x3d; 0.990, PLB or SNT vs. GRS <italic>p</italic>-value &#x3d; 0.307, TXA vs. GRS <italic>p</italic>-value &#x3d; 0.258, ATO vs. ATO&#x2b;DXM <italic>p</italic>-value &#x3d; 0.990).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>SUCRA plot. The surface under the cumulative ranking curve (SUCRA) was generated to display a simple numerical statistical cumulative ranking probability plot of various interventions. SUCRA is 1 if treatment is certainly at the highest level or highly effective, while zero if it undoubtedly means that the treatment has the worst effect. Abbreviations: TXA, tranexamic acid; DXM, dexamethasone; ATO, atorvastatin; GRS, goreisan; CLX, celecoxib; ATO&#x2b;DXM, atorvastatin plus dexamethasone; ATB, antithrombotic; PLB or SNT, placebo or standard neurosurgical treatment; SUCRA, the surface under the cumulative ranking&#x20;curve.</p>
</caption>
<graphic xlink:href="fphar-13-845386-g006.tif"/>
</fig>
<p>The funnel plot shows that the distribution of some asymmetric scattering points in this inverted funnel plot indicates that some publication bias may be generated (<xref ref-type="fig" rid="F7">Figure&#x20;7</xref>).</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Funnel plot. Red line suggests the null hypothesis that study-specific effect sizes do not differ from respective comparison-specific pooled effect estimates. Different colors represent different comparisons. Abbreviations: TXA, tranexamic acid; DXM, dexamethasone; ATO, atorvastatin; GRS, goreisan; CLX, celecoxib; ATO&#x2b;DXM, atorvastatin plus dexamethasone; ATB, antithrombotic; PLB or SNT, placebo or standard neurosurgical treatment.</p>
</caption>
<graphic xlink:href="fphar-13-845386-g007.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The results of our NMA summarized the available data, suggesting that the optimal drug intervention for CSDH to reduce recurrence is ATO&#x2b;DXM (OR &#x3d; 0.06, 95% CrI 0.01, 0.89, SUCRA &#x3d; 89.40%, 95% CrI 0.29, 1.00), and we also observed corresponding definite curative effectiveness of DXM, TXA, and ATO on the recurrence improvement of CSDH. The remaining three drug therapies also showed better efficacy in improving recurrence compared with the PLB or SNT group (the efficacy was ranked GRS, CLX, and ATB from high to low), but this difference was not significant, and the results need to be discussed cautiously. These results may provide useful evidence for clinicians to prescribe effective drugs for patients with&#x20;CSDH.</p>
<p>Presently, craniotomy or burr-hole craniotomy to remove hematoma was still the main treatment for symptomatic patients with CSDH. Nevertheless, these surgeries are also accompanied by a high rate of recurrence (10%) (<xref ref-type="bibr" rid="B36">Santarius et&#x20;al., 2009</xref>; <xref ref-type="bibr" rid="B42">Soleman et&#x20;al., 2019</xref>); besides, even conservative patients with less bleeding and who are asymptomatic still face the possibility of subdural progressive recurrent bleeding. Under these circumstances, regardless of whether surgery was performed, patients with CSDH also should undergo drug treatment that can effectively prevent recurrence.</p>
<p>An excessive inflammatory reaction reported to assist in outer membrane formation of CSDH was considered a potential mechanism to explain the recurrence (<xref ref-type="bibr" rid="B7">Edlmann et&#x20;al., 2017</xref>). Therefore, inhibition of excessive inflammatory response and promotion of neovascularization have become therapeutic strategies to promote CSDH absorption. In a preliminary study, ATO, as an inhibitor of 3-hydroxy-3-methylglutaryl-coenzyme A reductase, was first reported to lead to a hematoma volume reduction in CSDH patients (<xref ref-type="bibr" rid="B54">Wang et&#x20;al., 2014</xref>). Then, ATO was demonstrated to reduce inflammation and hematoma in an SDH rat model (<xref ref-type="bibr" rid="B27">Li et&#x20;al., 2014</xref>). It is shown that statins have an anti-inflammatory effect (reducing MCP1 and TNF-&#x3b1;) and can mobilize endothelial progenitor cells for vascular repair in previous literature (<xref ref-type="bibr" rid="B1">Ara&#xfa;jo et&#x20;al., 2010</xref>; <xref ref-type="bibr" rid="B28">Lin et&#x20;al., 2014</xref>). ATO did have definite curative effectiveness to reduce the incidence of recurrence, which requires surgery in our NMA. Our conclusion is consistent with that of a recent meta-analysis of 6 studies comprising 756 patients with CSDH, which also suggested that ATO could improve prognosis and neurological recovery (<xref ref-type="bibr" rid="B14">He et&#x20;al., 2021</xref>). Additionally, some studies even suggest that ATO is as effective as surgery in patients with mild CSDH (<xref ref-type="bibr" rid="B40">Shofty and Grossman, 2016</xref>; <xref ref-type="bibr" rid="B43">Soleman et&#x20;al., 2017</xref>). Currently, low-dose ATO has been used by many neurosurgeons to promote CSDH absorption and prevent the recurrence of CSDH (<xref ref-type="bibr" rid="B54">Wang et&#x20;al., 2014</xref>; <xref ref-type="bibr" rid="B4">Chan et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B47">Tang et&#x20;al., 2018</xref>). It is recommended that future clinical trials of ATO focus more on its improvement in life quality and outcomes in patients with&#x20;CSDH.</p>
<p>DXM was shown to better improve recurrence as compared to ATO in our NMA, maybe because it can provide a stronger anti-inflammatory effect and antiangiogenic effects (<xref ref-type="bibr" rid="B46">Sun et&#x20;al., 2005</xref>). It is known that DXM, as a synthetic version of naturally occurring corticosteroid hormone, inhibits the aggregation, phagocytosis, and release of inflammatory mediators by immune-inflammatory cells. Glover et&#x20;al., in their early studies, indicated that DXM was demonstrated to cause significantly lighter and smaller blood clots in CSDH, and the underlying reason may be the inhibition of inflammatory response, which leads to improper development of the outer membrane (<xref ref-type="bibr" rid="B11">Glover and Labadie, 1976</xref>). Two recent meta-analyses (<xref ref-type="bibr" rid="B17">Holl et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B41">Shrestha et&#x20;al., 2021</xref>) also indicated that treatment with DXM was associated with a lesser recurrence of CSDH, but the effect of DXM to improve neurological outcomes and reduce mortality was not observed. Moreover, it should be noted that most of their included studies were observational and nonrandomized; thus, the credibility of their conclusions is relatively insufficient. However, one of the major defects of DXM therapy is the significant side effect of intravenous application, which may outweigh the benefits, as retrospective trials indicated that the use of high-dose DXM (6&#x2013;8&#xa0;mg/day) could only save 17% of patients with CSDH from the operation but significantly increase treatment complications (<xref ref-type="bibr" rid="B31">Miah et&#x20;al., 2020</xref>). Therefore, low-dose DXM treatment is always used clinically, and the duration should be no more than 4&#xa0;weeks, but the application of DXM is still inevitably accompanied by side effects. The research of <xref ref-type="bibr" rid="B55">Wang et&#x20;al. (2021)</xref>indicated that DXM increased the risk of all-cause mortality (relative risk (RR) &#x3d; 1.96, 95% CrI 1.20, 3.28) of CSDH, and the adverse events resulting from DXM treatment were generally serious even with low&#x20;doses.</p>
<p>Additionally, our studies found that the low-dose DXM combined with ATO resulted in the best effectiveness concerning reducing reoperation as compared to any other drug interventions. The intuitive reason was that low doses and short-term use of DXM in combination with ATO can further enhance the inhibition of inflammatory reaction, thereby reducing vascular leakage and decreasing the risk of hematoma expansion. The recent study by <xref ref-type="bibr" rid="B12">Gong et&#x20;al. (2021)</xref> for the first time provided evidence that the underlying mechanisms of the improved efficacy of this combined therapy were primarily by increasing the presence of ATO in hematoma and macrophages and by regulating the alteration of the macrophage phenotype, promoting the transition from the proinflammatory phenotype to the anti-inflammatory phenotype. As a result, this combination therapy showed a better effect to correct imbalances between the CSDH injury factor and repair factor. Besides, this combination also can simultaneously avoid the adverse effects of large doses and long-term use of DXM. Interestingly, CLX (a selective COX-2 inhibition) works by the same mechanism, which is to inhibit inflammation, but fails to improve CSDH recurrence. Whether other anti-inflammatory drugs in general (except for ATO and DXM) can prevent the development of CSDH significantly raises an important question, but more trials in this field are needed. Equally interesting is the observation that the statistical results of ATB (OR &#x3d; 0.89, 95% CrI 0.42, 1.82) were more likely to improve the recurrence in CSDH patients than the PLB or SNT group; this difference was not statistically significant, and the results obviously need to be discussed cautiously. Given the ATB sample size, the included studies of ATB were only prospective trials, and the difference was not statistically significant; therefore, the results interpreted here indicate more that ATB may not increase the risk of recurrence, instead of reducing recurrence significantly. In addition, whether ATB increases the risk of recurrence of CSDH remains controversial in the current literature. The application of ATB (optimal dose, withdrawal time, etc.) still needs to be evaluated in more well-designed clinical trials in the future.</p>
<p>Antifibrinolytic therapy of CSDH has attracted growing attention. Some studies have shown that in patients with CSDH hematoma fluid, outer membrane organization fibrinolytic enzyme activation, and fibrin degradation products, thrombosis regulatory protein increased significantly and repeatedly prompted high fibrinolytic associated with blood vessel leak blood (<xref ref-type="bibr" rid="B9">Fujisawa et&#x20;al., 1995</xref>; <xref ref-type="bibr" rid="B32">Murakami et&#x20;al., 2002</xref>; <xref ref-type="bibr" rid="B24">Katano et&#x20;al., 2006</xref>; <xref ref-type="bibr" rid="B39">Shim et&#x20;al., 2007</xref>). Antifibrinolytic drugs by inhibition of the fibrinolytic enzyme activation and fibrinolytic enzyme activity stop the bleeding. Currently, traditional meta-analysis to assess the efficacy of TXA in reducing recurrence of CSDH has not yet appeared. Some retrospective studies have concluded that TXA, as an antifibrinolytic drug, can be used to promote CSDH hematoma absorption and reduce recurrence (<xref ref-type="bibr" rid="B22">Kageyama et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B45">Stary et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B48">Tanweer et&#x20;al., 2016</xref>). TXA also can play an indirect anti-inflammatory role through the kallikrein&#x2013;kinin pathway (<xref ref-type="bibr" rid="B18">Hunt, 2015</xref>). Our NMA results showed that TXA is beneficial for the reduction of recurrence (SUCRA &#x3d; 75.74%, 95% CrI 0.43, 1.00), which is consistent with the above studies. In addition, in our research, the effectiveness of TXA is weaker than that of DXM but higher than that of&#x20;ATO.</p>
<p>GRS is an herbal medicine prescription developed as a new alternative treatment in patients with CSDH. It works by inhibiting aquaporin-4, which is expressed in the outer membrane of the CSDH (<xref ref-type="bibr" rid="B26">Kwon et&#x20;al., 2019</xref>). GRS prevents the inflow of fluid into the hematoma, thereby preventing the development and recurrence of hematoma. Our NMA showed that GRS did not have a definite efficacy improvement in recurrence, and currently, relevant meta-analysis is also lacking in comparison with our results.</p>
<p>The drug interventions applied to CSDH are complex and multifaceted. The number of existing comprehensive and rigorously compared treatment studies for this disease is still largely insufficient. Recently, <xref ref-type="bibr" rid="B55">Wang et&#x20;al. (2021)</xref> analyzed the efficacy and safety of five drug treatments on the drug management of CSDH and concluded that DXM was the best treatment to reduce recurrence. Our NMA included more drug interventions (ATO&#x2b;DXM, CLX, and ATB) in conducting further analysis for the recurrence improvement, which showed that DXM did have a definite effect of reducing recurrence, but ATO in combination with DXM showed a stronger effect in this particular aspect; these are the strength of our research. But remarkably, this combination therapy may be accompanied by more adverse complications, and the analysis of Wang et&#x20;al. of the safety of drugs in CSDH is clearly useful and necessary. Regrettably, the optimal dosage and duration that could provide the best benefit without serious adverse effects of DXM in CSDH remain unclear. For the application of DXM, we need to be extremely cautious. In addition, due to the limited evidence-based data, ATO&#x2b;DXM therapy still needs to be further evaluated by more RCTs. Similarly, under the situation of considering the safety in advance, rigorous RCTs also need to be designed in the future to evaluate other drug combinations (e.g., DXM&#x2b;GRS) that may have potential benefits.</p>
<p>The greatest advantage of our NMA is that we combined and summarized all eligible studies to make a comprehensive effectiveness comparison of drug interventions in patients with CSDH, thus making up for the lack of contrast studies of many drugs that are sufficiently innovative and have great clinical significance. However, the limitations of our NMA also need to be acknowledged. First, there are not enough RCTs or prospective studies on CLX, ATO&#x2b;DXM, and other drug interventions, so the evidence based on its efficacy is limited, which may make it difficult for our NMA to draw a conclusion. Second, we did not analyze the side effects and outcomes of interventions, which also could influence clinical treatment options. Finally, the low quality of several trials may potentially threaten the validity of our&#x20;NMA.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>To sum up, our NMA concluded that ATO&#x2b;DXM, DXM, ATO, and TXA had definite curative efficacy in improving the recurrence in CSDH patients. Among them, ATO&#x2b;DXM is the optimal drug intervention in this particular population to reduce recurrence. At the same time, the evidence from our NMA also can guide the development of clinical guidelines and thus help clinicians make more effective and appropriate decisions in clinical practice. Moreover, multicenter RCTs are still needed to evaluate the role of various drug interventions in improving neurological function or outcome.</p>
</sec>
</body>
<back>
<sec id="s6">
<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 authors.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>YC and XZ designed this review. WY wrote this paper. WY and WC searched the literature databases and collected and extracted data. WY, YJ, and MM analyzed the data and explained the results. WY, WC, and WZ edited the English language of the manuscript. YC and XZ gave advice for preparing the manuscript.</p>
</sec>
<sec sec-type="COI-statement" id="s8">
<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 sec-type="disclaimer" id="s9">
<title>Publisher&#x2019;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>
<ack>
<p>Throughout the writing of this dissertation, we have received a great deal of support and assistance. We would like to especially thank Jing-Hong Liang, who is an NMA statistician, for his detailed examination and for being instrumental in the statistical analysis aspects of our research. For this, we are extremely grateful.</p>
</ack>
<sec id="s10">
<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/fphar.2022.845386/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2022.845386/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.DOCX" id="SM1" mimetype="application/DOCX" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table2.DOCX" id="SM2" mimetype="application/DOCX" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table3.DOCX" id="SM3" mimetype="application/DOCX" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Table4.DOCX" id="SM4" mimetype="application/DOCX" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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