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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.2024.1381408</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cardiovascular Medicine</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Effect of anticoagulation on the incidence of venous thromboembolism, major bleeding, and mortality among hospitalized COVID-19 patients: an updated meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Chen</surname><given-names>Xinwang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes"><name><surname>Zhang</surname><given-names>Suyun</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes"><name><surname>Liu</surname><given-names>Haiyu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes"><name><surname>Zhang</surname><given-names>Qianyuan</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="an1"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author"><name><surname>Chen</surname><given-names>Jinghan</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author"><name><surname>Zheng</surname><given-names>Qixian</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2661575/overview" />
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<contrib contrib-type="author"><name><surname>Guo</surname><given-names>Ningjing</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author"><name><surname>Cai</surname><given-names>Yuanyuan</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author"><name><surname>Luo</surname><given-names>Qiong</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/1855191/overview" />
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<contrib contrib-type="author" corresp="yes"><name><surname>Xu</surname><given-names>Qian</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref>
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<contrib contrib-type="author" corresp="yes"><name><surname>Yang</surname><given-names>Sheng</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<contrib contrib-type="author" corresp="yes"><name><surname>Chen</surname><given-names>Xiangqi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<aff id="aff1"><label><sup>1</sup></label><institution>Department of Pulmonary and Critical Care Medicine, Fujian Medical University Union Hospital</institution>, <addr-line>Fuzhou</addr-line>, <country>China</country></aff>
<aff id="aff2"><label><sup>2</sup></label><institution>Department of Internal Medicine, Fujian Medical University Union Hospital</institution>, <addr-line>Fuzhou</addr-line>, <country>China</country></aff>
<aff id="aff3"><label><sup>3</sup></label><institution>Department of General Medicine, Fujian Medical University Union Hospital</institution>, <addr-line>Fuzhou</addr-line>, <country>China</country></aff>
<aff id="aff4"><label><sup>4</sup></label><institution>Department of Oncology Medicine, Fujian Medical University Union Hospital</institution>, <addr-line>Fuzhou</addr-line>, <country>China</country></aff>
<aff id="aff5"><label><sup>5</sup></label><institution>Fujian Key Laboratory of Translational Research in Cancer and Neurodegenerative Diseases</institution>, <addr-line>Fuzhou</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> Luca Spiezia, University of Padua, Italy</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Daniele Mengato, University Hospital of Padua, Italy</p>
<p>Francesco Poletto, University of Padua, Italy</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Qian Xu <email>674212726@qq.com</email> Sheng Yang <email>dryangxh2017@sina.com</email> Xiangqi Chen <email>drchxqtg@126.com</email></corresp>
<fn fn-type="equal" id="an1"><label><sup>&#x2020;</sup></label><p>These authors have contributed equally to this work and share first authorship</p></fn>
</author-notes>
<pub-date pub-type="epub"><day>05</day><month>04</month><year>2024</year></pub-date>
<pub-date pub-type="collection"><year>2024</year></pub-date>
<volume>11</volume><elocation-id>1381408</elocation-id>
<history>
<date date-type="received"><day>09</day><month>02</month><year>2024</year></date>
<date date-type="accepted"><day>26</day><month>03</month><year>2024</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2024 Chen, Zhang, Liu, Zhang, Chen, Zheng, Guo, Cai, Luo, Xu, Yang and Chen.</copyright-statement>
<copyright-year>2024</copyright-year><copyright-holder>Chen, Zhang, Liu, Zhang, Chen, Zheng, Guo, Cai, Luo, Xu, Yang 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>Objective</title>
<p>Anticoagulation is crucial for patients hospitalized with coronavirus disease 2019 (COVID-19) due to the high risk of venous thromboembolism (VTE). However, the optimal anticoagulation regimen needs further exploration. Therefore, we evaluated the efficacy and safety of diverse anticoagulation dosage dosages for COVID-19.</p>
</sec>
<sec><title>Methods</title>
<p>An updated meta-analysis was performed to assess the effect of thromboprophylaxis (standard, intermediate, and therapeutic dose) on the incidence of VTE, mortality and major bleeding among COVID-19 patients. Literature was searched via PubMed, EMBASE, Web of Science, and China National Knowledge Infrastructure (CNKI) database. The odds ratio (OR) and 95&#x0025; confidence interval (CI) were calculated for effect estimates.</p>
</sec>
<sec><title>Results</title>
<p>Nineteen studies involving 25,289 participants without VTE history were included. The mean age of patients was 59.3 years old. About 50.96&#x0025; were admitted to the intensive care unit. In the pooled analysis, both therapeutic-dose and intermediate-dose anticoagulation did not have a significant advantage in reducing VTE risk over standard dosage (OR&#x2009;&#x003D;&#x2009;1.09, 95&#x0025; CI: 0.58&#x2013;2.02, and OR&#x2009;&#x003D;&#x2009;0.89, 95&#x0025; CI: 0.70&#x2013;1.12, respectively). Similarly, all-cause mortality was not further decreased in either therapeutic-dose group (OR&#x2009;&#x003D;&#x2009;1.12, 95&#x0025; CI: 0.75&#x2013;1.67) or intermediate-dose group (OR&#x2009;&#x003D;&#x2009;1.34, 95&#x0025; CI: 0.83&#x2013;2.17). While the major bleeding risk was significantly elevated in the therapeutic-dose group (OR&#x2009;&#x003D;&#x2009;2.59, 95&#x0025;CI: 1.87&#x2013;3.57) as compared with the standard-dose regimen. Compared with intermediate dosage, therapeutic anticoagulation did not reduce consequent VTE risk (OR&#x2009;&#x003D;&#x2009;0.85, 95&#x0025; CI: 0.52&#x2013;1.38) and all-cause mortality (OR&#x2009;&#x003D;&#x2009;0.84, 95&#x0025; CI: 0.60&#x2013;1.17), but significantly increased major bleeding rate (OR&#x2009;&#x003D;&#x2009;2.42, 95&#x0025; CI: 1.58&#x2013;3.70). In subgroup analysis of patients older than 65 years, therapeutic anticoagulation significantly lowered the incidence of VTE in comparation comparison with standard thromboprophylaxis, however, at the cost of elevated risk of major bleeding.</p>
</sec>
<sec><title>Conclusion</title>
<p>Our results indicated that for most hospitalized patients with COVID-19, standard-dose prophylactic anticoagulation might be the optimal choice. For elderly patients at low risk of bleeding, therapeutic-dose anticoagulation could further reduce VTE risk and should be considered especially when there were other strong risk factors of VTE during hospital stay.</p>
</sec>
<sec><title>Systematic Review Registration</title>
<p><ext-link ext-link-type="uri" xlink:href="https://www.crd.york.ac.uk/PROSPERO">https://www.crd.york.ac.uk/PROSPERO</ext-link>, identifier, CRD42023388429.</p>
</sec>
</abstract>
<kwd-group>
<kwd>venous thromboembolism</kwd>
<kwd>COVID-19</kwd>
<kwd>thromboprophylaxis</kwd>
<kwd>anticoagulation</kwd>
<kwd>prevention and treatment</kwd>
</kwd-group>
<contract-num rid="cn001">2021Y0098</contract-num>
<contract-sponsor id="cn001">Fujian Provincial Health Scientific and Technological Guidance Projects</contract-sponsor>
<counts>
<fig-count count="11"/>
<table-count count="4"/><equation-count count="0"/><ref-count count="56"/><page-count count="0"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Thrombosis and Haemostasis</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro"><label>1</label><title>Introduction</title>
<p>Since December 2019, the coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has led to large-scale human transmission and caused hundreds of thousands deaths around the world (<xref ref-type="bibr" rid="B1">1</xref>). Due to complexity and heterogenous severity of COVID-19, large difficulties and challenges in disease management have been brought by its complications during clinical practice, among which venous thromboembolism (VTE) deserves more attention being paid to because of potential fatal events, especially in early pandemic era (<xref ref-type="bibr" rid="B2">2</xref>). VTE includes deep vein thrombosis (DVT) and pulmonary embolism (PE). As is known, PE is caused by an obstruction of the pulmonary arteries, most often occluded by thrombus derived from DVT of the lower extremities, and its major symptoms include dyspnea, chest pain, syncope, hemoptysis, etc. (<xref ref-type="bibr" rid="B3">3</xref>) and dyspnea. In patients with COVID-19, significant abnormalities in coagulation function have been reported (<xref ref-type="bibr" rid="B4">4</xref>). In addition to this, vascular wall injuries, blood stream stasis, and hypercoagulable state in hospitalized COVID-19 patients increases the risk of VTE (<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>). Unpredictable deterioration and even sudden death may occur in some COVID-19 patients due to secondary VTE event during disease management (<xref ref-type="bibr" rid="B8">8</xref>). Thus, early recognition of risk factors and appropriate thromboprophylaxis of VTE in patients with COVID-19 are crucial for lowering in-hospital mortality and may to improve long-term prognosis.</p>
<p>Growing evidence has shown that prophylactic anticoagulation can effectively reduce the incidence of VTE and mortality rate in hospitalized COVID-19 patients with COVID-19, especially in critically ill patients, although at price of increased risk of bleeding (<xref ref-type="bibr" rid="B9">9</xref>&#x2013;<xref ref-type="bibr" rid="B11">11</xref>). However, various dosages of prophylactic anticoagulation are used in practice to balance clinical benefit and bleeding risk. Still, no valid consensus has been reached regarding optimal anticoagulation dosage for VTE prevention in COVID-19 patients to achieve best efficacy and less hemorrhage event (<xref ref-type="bibr" rid="B12">12</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>Although previous meta-analysis has addressed this issue, emerging new studies with diverse outcomes have been published later, and various virus strain of SARS-CoV-2 has evolved which may possess different impact on VTE risk.</p>
<p>Therefore, we conducted this updated meta-analysis to evaluate the efficacy and safety of different prophylactic anticoagulation regimen (standard dose, intermediate dose, and therapeutic dose) on the incidence of VTE, major bleeding, and mortality, to obtain better and more detailed evidence on VTE prophylaxis for hospitalized patients with COVID-19.</p>
</sec>
<sec id="s2" sec-type="methods"><label>2</label><title>Methods</title>
<sec id="s2a"><label>2.1</label><title>Design</title>
<p>Low molecular weight heparins are most frequently used for thromboprophylaxis in COVID-19. Therefore, in this meta-analysis, we assessed three conventional prophylactic anticoagulation regimen with low molecular weight heparins (shown in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>) on the incidence of VTE, major bleeding, and mortality among COVID-19 patients. This systematic review and meta-analysis was reported in accordance with the Cochrane Handbook (<xref ref-type="bibr" rid="B17">17</xref>) and the guidance from Preferred Reporting Items of Systematic Reviews and Meta-Analyses (PRISMA) checklist (<xref ref-type="bibr" rid="B18">18</xref>). The protocol of this study has been registered on the International Prospective Register of Systematic Reviews (PROSPERO, <ext-link ext-link-type="uri" xlink:href="https://www.crd.york.ac.uk/PROSPERO">https://www.crd.york.ac.uk/PROSPERO</ext-link>) with registration number of CRD42023388429.</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Doses of low molecular weight heparin administered in the three anticoagulation regimens.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="2"/>
<th valign="top" align="center" colspan="2">Prophylactic dose</th>
<th valign="top" align="center" colspan="2">Intermediate dose</th>
<th valign="top" align="center" colspan="2">Therapeutic dose</th>
</tr>
<tr>
<th valign="top" align="center">CrCl&#x003E;30&#x2005;ml/min</th>
<th valign="top" align="center">CrCl &#x2264;30&#x2005;ml/min</th>
<th valign="top" align="center">CrCl&#x003E;30&#x2005;ml/min</th>
<th valign="top" align="center">CrCl &#x2264;30&#x2005;ml/min</th>
<th valign="top" align="center">CrCl&#x003E;30&#x2005;ml/min</th>
<th valign="top" align="center">CrCl &#x2264;30&#x2005;ml/min</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Enoxaparin</td>
<td valign="top" align="left">40&#x2005;mg/24&#x2005;h</td>
<td valign="top" align="left">20&#x2005;mg/24&#x2005;h</td>
<td valign="top" align="left">1&#x2005;mg/kg/24&#x2005;h &#x003E;80&#x2005;kg:60&#x2005;mg/24&#x2005;h</td>
<td valign="top" align="left">0.5&#x2005;mg/kg/24&#x2005;h &#x003E;80&#x2005;kg:40&#x2005;mg/24&#x2005;h</td>
<td valign="top" align="left">1.5&#x2005;mg/kg/24&#x2005;h or 1&#x2005;mg/kg/12&#x2005;h</td>
<td valign="top" align="left">1&#x2005;mg/kg/24&#x2005;h</td>
</tr>
<tr>
<td valign="top" align="left">Tinzaparin</td>
<td valign="top" align="left">4,500&#x2005;IU/24&#x2005;h</td>
<td valign="top" align="left">4,500&#x2005;IU/24&#x2005;h</td>
<td valign="top" align="left">75&#x2005;IU/kg/24&#x2005;h &#x003E;90&#x2005;kg:50&#x2005;IU/kg/24&#x2005;h</td>
<td valign="top" align="left">75&#x2005;IU/kg/24&#x2005;h &#x003E;90&#x2005;kg:50&#x2005;IU/kg/24&#x2005;h</td>
<td valign="top" align="left">175&#x2005;IU/kg/24&#x2005;h</td>
<td valign="top" align="left">175&#x2005;IU/kg/24&#x2005;h</td>
</tr>
<tr>
<td valign="top" align="left">Bemiparin</td>
<td valign="top" align="left">3,500&#x2005;IU/24&#x2005;h</td>
<td valign="top" align="left">2,500&#x2005;IU/24&#x2005;h</td>
<td valign="top" align="left">5,000&#x2005;IU/24&#x2005;h</td>
<td valign="top" align="left">3,500&#x2005;IU/24&#x2005;h</td>
<td valign="top" align="left">115&#x2005;IU/kg/24&#x2005;h</td>
<td valign="top" align="left">85&#x2005;IU/kg/24&#x2005;h</td>
</tr>
<tr>
<td valign="top" align="left">Fondaparinux</td>
<td valign="top" align="left">2.5&#x2005;mg/24&#x2005;h</td>
<td valign="top" align="left">1.5&#x2005;mg/24&#x2005;h</td>
<td valign="top" align="left">5&#x2005;mg/24&#x2005;h</td>
<td valign="top" align="left">2.5&#x2005;mg/24&#x2005;h</td>
<td valign="top" align="left">&#x003C;50&#x2005;kg: 5&#x2005;mg/24&#x2005;h<break/>51&#x2013;100&#x2005;kg: 7.5&#x2005;mg/24&#x2005;h &#x003E;100&#x2005;kg: 10&#x2005;mg/24&#x2005;h</td>
<td valign="top" align="left">Not recommended</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><p>Mg, milligrams; IU, international units; kg, kilograms; h, hours; CrCl, calculated creatinine clearance rate.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2b"><label>2.2</label><title>Search strategy</title>
<p>We designed a high-sensitivity search strategy that combined the following search items: free-text and keyword synonyms of COVID-19 and VTE, and word clusters of prophylactic anticoagulation. Literature was searched through PubMed, EMBASE, Web of Science, and China National Knowledge Infrastructure (CNKI) database. We further searched with the keywords &#x201C;standard-dose prophylactic anticoagulation&#x201D;, &#x201C;intermediate-dose prophylactic anticoagulation&#x201D;, and &#x201C;therapeutic-dose prophylactic anticoagulation&#x201D; on bioRxiv (<ext-link ext-link-type="uri" xlink:href="http://www.biorxiv.org">http://www.biorxiv.org</ext-link>) server, medRxiv (<ext-link ext-link-type="uri" xlink:href="http://www.biorxiv.org">http://www.biorxiv.org</ext-link>) server and Chinaxiv (<ext-link ext-link-type="uri" xlink:href="http://biotech.chinaxiv.org">http://biotech.chinaxiv.org</ext-link>) server, in order to identify potential pre-publication manuscripts that met the eligibility criteria. The search spanned from January 1, 2020to October 31, 2022. The reference lists of all included articles were also reviewed for potential eligible studies.</p>
</sec>
<sec id="s2c"><label>2.3</label><title>Study selection and data extraction</title>
<p>Two reviewers independently performed a two-step selection, screening by title and abstract, followed by a full-text review. Studies would be included if they met the following criteria: (1) they were randomized controlled trial, observational cohort, or case-control study; (2) they enrolled hospitalized COVID-19 patients without VTE at baseline who did not receive anticoagulation in the past six months; (3) outcomes of interest were compared among patients receiving standard-dose prophylactic anticoagulation, intermediate-dose prophylactic anticoagulation and therapeutic-dose prophylactic anticoagulation; (4) outcomes of interest included one of the followings: event of VTE, major bleeding, and mortality.</p>
<p>Exclusion criteria were as follows: (1) non-human studies; (2) non-comparative studies; (3) studies that did not recruit COVID-19 patients; (4) studies with no available data to extract; (5) certain type of studies like reviews, meta-analysis, or editorials.</p>
<p>Data extraction was conducted using standardized data extraction forms. The following information were collected from the retrieved literature: the first author&#x0027;s name, publication year, study design, research site, patient characteristics (including age, gender, and disease severity), follow-up period, incidence of VTE, major bleeding, and mortality rate. Discrepancies were solved by discussion.</p>
</sec>
<sec id="s2d"><label>2.4</label><title>Statistical analysis</title>
<p>Effects of 3 different dosing prophylactic anticoagulation on the incidence of VTE, major bleeding, and mortality of COVID-19 patients were presented or calculated as odds ratio (OR), relative risk (RR), or hazard ratio (HR), with 95&#x0025; confidence interval (CI) from included studies. We pooled ORs across studies using inverse-variance weighted DerSimonian-Laird method to calculate effect estimate. RR and HR were considered as equivalent as OR during meta-analysis. Continuous variables were calculated as weighted mean difference (WMD) and 95&#x0025; CI. The median value and interquartile range (IQR) provided from original studies were converted to mean and standard deviation (SD) according to the method by Wan et al. (<xref ref-type="bibr" rid="B19">19</xref>). Between-study heterogeneity was tested by Cochrane Q and I<sup>2</sup> statistic. I<sup>2</sup>&#x2009;&#x003E;&#x2009;50&#x0025; or <italic>P&#x2009;</italic>&#x003C;&#x2009;0.1 was considered as significant heterogeneity and random effects model was used to combine the results. Otherwise, fixed effects model was used (<xref ref-type="bibr" rid="B17">17</xref>). Funnel plots and sensitivity analysis were then conducted to examine the publication bias and stability of meta-analysis result, respectively. All statistical analysis process were conducted using Review Manager 5.4 (Cochrane Collaboration, Oxford, UK) and STATA 14.0 (Stata Corporation, College Station, TX, U.S).</p>
</sec>
<sec id="s2e"><label>2.5</label><title>Literature quality evaluation</title>
<p>The methodological quality of included articles was evaluated using the Newcastle-Ottawa Scale (NOS), available at: <ext-link ext-link-type="uri" xlink:href="https://www.ohri.ca/programs/CIinical_epidemiology/oxford.asp">https://www.ohri.ca/programs/CIinical_epidemiology/oxford.asp</ext-link>. The total score of NOS rangeed from 0 to 9 stars, with more stars representing higher quality. Two authors independently went through this scoring process, and discrepancies were solved by discussion.</p>
</sec>
<sec id="s2f"><label>2.6</label><title>Network meta-analysis</title>
<p>So far, current studies mainly compared the efficacy and safety between intermediate-dose and standard-dose anticoagulation, or between therapeutic-dose and standard-dose anticoagulation for COVID-19 patients. Fewer studies [Jonmarker et al. (<xref ref-type="bibr" rid="B20">20</xref>) and Blondon et al. (<xref ref-type="bibr" rid="B21">21</xref>)] investigated the difference between intermediate-dose with therapeutic-dose prophylactic anticoagulation, making it less convincing to perform traditional meta-analysis. Thus, we chose network meta-analysis and defined standard-dose anticoagulation as plan A (plan 1 in the rank), intermediate-dose anticoagulation as plan B (plan 2 in the rank), and therapeutic-dose anticoagulation as plan C (plan 3 in the rank). The network meta-analysis was conducted using &#x201C;mvmeta&#x201D; package and &#x201C;network&#x201D; package of STATA 14.0 software.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><label>3</label><title>Results</title>
<p>We searched 205 studies and screened 202 studies by title and abstract, and then obtained 33 eligible studies. There were 14 studies excluded after the full-text screening, and we finally included 19 works of literature (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B22">22</xref>&#x2013;<xref ref-type="bibr" rid="B37">37</xref>) for meta-analysis, containing 3 retrospective cohort studies and 16 randomized controlled trials. Study selection and characteristics were shown in <xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref> and <xref ref-type="table" rid="T2">Table&#x00A0;2</xref>, separately. The synthesis results of the meta-analysis were the comprehensive impact of different doses (therapeutic-dose vs. standard-dose, intermediate-dose vs. standard-dose, therapeutic-dose vs. intermediate-dose) of prophylactic anticoagulation on the incidence of VTE, major bleeding, and mortality among COVID-19 patients without VTE at admission.</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>PRISMA flow chart of literature research and selection for updated meta-analysis.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-11-1381408-g001.tif"/>
</fig>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Basic characteristics of the included studies.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Study</th>
<th valign="top" align="center">Country</th>
<th valign="top" align="center">Groups</th>
<th valign="top" align="center">Design</th>
<th valign="top" align="center">No of participants</th>
<th valign="top" align="center">Age, years, (median, mean&#x2009;&#x00B1;&#x2009;SD or IQR)</th>
<th valign="top" align="center">Gender: male, &#x0025;</th>
<th valign="top" align="center">Follow-up period</th>
<th valign="top" align="center">Severe case, &#x0025;</th>
<th valign="top" align="center">VTE (event/total)</th>
<th valign="top" align="center">Major bleeding (event/total)</th>
<th valign="top" align="center">Mortality (event/total)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="2">Spyropoulos et al. (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="top" align="left" rowspan="2">U.S.</td>
<td valign="top" align="left" rowspan="2">TD vs. SD</td>
<td valign="top" align="left" rowspan="2">Randomized clinical trial, multicenter</td>
<td valign="top" align="center" rowspan="2">253</td>
<td valign="top" align="center">TD: 65.8&#x2009;&#x00B1;&#x2009;13.9</td>
<td valign="top" align="center">TD: 52.7</td>
<td valign="top" align="center">371 days</td>
<td valign="top" align="center">32.81</td>
<td valign="top" align="center">TD: 14/129</td>
<td valign="top" align="center">TD: 6/129</td>
<td valign="top" align="center">TD: 25/129</td>
</tr>
<tr>
<td valign="top" align="center">SD: 67.7&#x2009;&#x00B1;&#x2009;14.1</td>
<td valign="top" align="center">SD: 54.8</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">SD: 36/124</td>
<td valign="top" align="center">SD: 2/124</td>
<td valign="top" align="center">SD: 31/124</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Sadeghipour et al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="left" rowspan="2">Iran</td>
<td valign="top" align="left" rowspan="2">ID vs. SD</td>
<td valign="top" align="left" rowspan="2">Randomized clinical trial, multicenter</td>
<td valign="top" align="center" rowspan="2">562</td>
<td valign="top" align="center">ID: 62 (51.0, 70.7)</td>
<td valign="top" align="center">ID: 58.7</td>
<td valign="top" align="center">113 days</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">ID: 9/276</td>
<td valign="top" align="center">ID: 7/276</td>
<td valign="top" align="center">ID: 119/276</td>
</tr>
<tr>
<td valign="top" align="center">SD: 61 (47.0, 71.0)</td>
<td valign="top" align="center">SD: 57.0</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">SD: 10/286</td>
<td valign="top" align="center">SD: 4/286</td>
<td valign="top" align="center">SD:117/286</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Perepu et al. (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="left" rowspan="2">U.S.</td>
<td valign="top" align="left" rowspan="2">ID vs. SD</td>
<td valign="top" align="left" rowspan="2">Randomized clinical trial, multicenter</td>
<td valign="top" align="center" rowspan="2">176</td>
<td valign="top" align="center">ID: 65.0 (24.0, 86.0)</td>
<td valign="top" align="center">ID: 54.0</td>
<td valign="top" align="center">255 days</td>
<td valign="top" align="center">60.80</td>
<td valign="top" align="center">ID: 11/87</td>
<td valign="top" align="center">ID: 2/87</td>
<td valign="top" align="center">ID: 13/87</td>
</tr>
<tr>
<td valign="top" align="center">SD: 63.5 (30.0, 85.0)</td>
<td valign="top" align="center">SD: 58.1</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">SD: 6/86</td>
<td valign="top" align="center">SD: 2/86</td>
<td valign="top" align="center">SD: 2/86</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Alrashed et al. (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="left" rowspan="3">Saudi Arabian</td>
<td valign="top" align="left" rowspan="3">TD vs. SD,<break/>ID vs. SD</td>
<td valign="top" align="left" rowspan="3">Randomized clinical trial, multicenter</td>
<td valign="top" align="center" rowspan="3">551</td>
<td valign="top" align="center">TD: 55.6&#x2009;&#x00B1;&#x2009;13.12</td>
<td valign="top" align="center">TD: 79.9</td>
<td valign="top" align="center">17 months</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">TD: 43/179</td>
<td valign="top" align="center">TD: 18/179</td>
<td valign="top" align="center">TD: 104/179</td>
</tr>
<tr>
<td valign="top" align="center">ID: 56.4&#x2009;&#x00B1;&#x2009;13.79</td>
<td valign="top" align="center">ID: 78.3</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">ID: 28/180</td>
<td valign="top" align="center">ID: 6/180</td>
<td valign="top" align="center">ID: 93/180</td>
</tr>
<tr>
<td valign="top" align="center">SD: 59.2&#x2009;&#x00B1;&#x2009;14.98</td>
<td valign="top" align="center">SD: 68.2</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">SD: 25/192</td>
<td valign="top" align="center">SD: 6/192</td>
<td valign="top" align="center">SD: 112/192</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Bikdeli et al. (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="top" align="left" rowspan="2">U.S.</td>
<td valign="top" align="left" rowspan="2">ID vs. SD</td>
<td valign="top" align="left" rowspan="2">Randomized clinical trial, multicenter</td>
<td valign="top" align="center" rowspan="2">562</td>
<td valign="top" align="center">ID: 62 (51.0, 70.7)</td>
<td valign="top" align="center">ID: 58.7</td>
<td valign="top" align="center">113 days</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">ID: 9/276</td>
<td valign="top" align="center">ID: 7/276</td>
<td valign="top" align="center">ID: 127/276</td>
</tr>
<tr>
<td valign="top" align="center">SD: 61 (47.0, 71.0)</td>
<td valign="top" align="center">SD: 57.0</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">SD: 10/286</td>
<td valign="top" align="center">SD: 4/286</td>
<td valign="top" align="center">SD: 123/286</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Lawler et al. (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="left" rowspan="2">9 countries</td>
<td valign="top" align="left" rowspan="2">TD vs. SD</td>
<td valign="top" align="left" rowspan="2">Randomized clinical trial, multicenter</td>
<td valign="top" align="center" rowspan="2">2,231</td>
<td valign="top" align="center">TD: 59.0&#x2009;&#x00B1;&#x2009;14.1</td>
<td valign="top" align="center">TD: 60.4</td>
<td valign="top" align="center">276 days</td>
<td valign="top" align="center">2.02</td>
<td valign="top" align="center">TD: 13/1,180</td>
<td valign="top" align="center">TD: 22/1,180</td>
<td valign="top" align="center">TD: 86/1,180</td>
</tr>
<tr>
<td valign="top" align="center">SD: 58.8&#x2009;&#x00B1;&#x2009;13.9</td>
<td valign="top" align="center">SD: 56.9</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">SD: 22/1,046</td>
<td valign="top" align="center">SD: 9/1,047</td>
<td valign="top" align="center">SD: 86/1,046</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Goligher et al. (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="left" rowspan="2">3 international adaptive platform</td>
<td valign="top" align="left" rowspan="2">TD vs. SD</td>
<td valign="top" align="left" rowspan="2">Randomized clinical trial, multicenter</td>
<td valign="top" align="center" rowspan="2">1,103</td>
<td valign="top" align="center">TD: 60.4&#x2009;&#x00B1;&#x2009;13.1</td>
<td valign="top" align="center">TD: 72.2</td>
<td valign="top" align="center">242 days</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">TD: 38/530</td>
<td valign="top" align="center">TD: 20/529</td>
<td valign="top" align="center">TD: 199/534</td>
</tr>
<tr>
<td valign="top" align="center">SD: 61.7&#x2009;&#x00B1;&#x2009;12.5</td>
<td valign="top" align="center">SD: 67.9</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">SD: 62/559</td>
<td valign="top" align="center">SD: 13/562</td>
<td valign="top" align="center">SD: 200/564</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Lemos et al. (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="left" rowspan="2">Brazil</td>
<td valign="top" align="left" rowspan="2">TD vs. SD</td>
<td valign="top" align="left" rowspan="2">Randomized clinical trial, single center</td>
<td valign="top" align="center" rowspan="2">20</td>
<td valign="top" align="center">TD: 55.0&#x2009;&#x00B1;&#x2009;10.0</td>
<td valign="top" align="center">TD: 90.0</td>
<td valign="top" align="center">4 months</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">TD: 2/10</td>
<td valign="top" align="center">TD: 0/10</td>
<td valign="top" align="center">TD: 2/10</td>
</tr>
<tr>
<td valign="top" align="center">SD: 58.0&#x2009;&#x00B1;&#x2009;16.0</td>
<td valign="top" align="center">SD: 70.0</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">SD: 2/10</td>
<td valign="top" align="center">SD: 0/10</td>
<td valign="top" align="center">SD: 5/10</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Lopes et al. (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="top" align="left" rowspan="2">Brazil</td>
<td valign="top" align="left" rowspan="2">TD vs. SD</td>
<td valign="top" align="left" rowspan="2">Randomized clinical trial, multicenter</td>
<td valign="top" align="center" rowspan="2">615</td>
<td valign="top" align="center">TD: 56.7&#x2009;&#x00B1;&#x2009;14.1</td>
<td valign="top" align="center">TD: 61.7</td>
<td valign="top" align="center">247 days</td>
<td valign="top" align="center">6.50</td>
<td valign="top" align="center">TD: 11/310</td>
<td valign="top" align="center">TD: 10/310</td>
<td valign="top" align="center">TD: 35/310</td>
</tr>
<tr>
<td valign="top" align="center">D: 56.5&#x2009;&#x00B1;&#x2009;14.5</td>
<td valign="top" align="center">SD: 57.9</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">SD: 18/304</td>
<td valign="top" align="center">SD: 4/304</td>
<td valign="top" align="center">SD: 23/304</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Sholzberg et al. (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="left" rowspan="2">6 countries</td>
<td valign="top" align="left" rowspan="2">TD vs. SD</td>
<td valign="top" align="left" rowspan="2">Randomized clinical trial, multicenter</td>
<td valign="top" align="center" rowspan="2">465</td>
<td valign="top" align="center">TD: 60.4&#x2009;&#x00B1;&#x2009;14.1</td>
<td valign="top" align="center">TD: 53.9</td>
<td valign="top" align="center">318 days</td>
<td valign="top" align="center">16.13</td>
<td valign="top" align="center">TD: 2/228</td>
<td valign="top" align="center">TD: 2/228</td>
<td valign="top" align="center">TD: 4/228</td>
</tr>
<tr>
<td valign="top" align="center">SD: 59.6&#x2009;&#x00B1;&#x2009;15.5</td>
<td valign="top" align="center">SD: 59.5</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">SD: 6/237</td>
<td valign="top" align="center">SD: 4/237</td>
<td valign="top" align="center">SD: 18/237</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Mu&#x00F1;oz-Rivas et al. (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="left" rowspan="3">Spain</td>
<td valign="top" align="left" rowspan="3">TD vs. SD,<break/>ID vs. SD</td>
<td valign="top" align="left" rowspan="3">Randomized clinical trial, multicenter</td>
<td valign="top" align="center" rowspan="3">300</td>
<td valign="top" align="center">TD: 58.5&#x2009;&#x00B1;&#x2009;14.4</td>
<td valign="top" align="center">TD: 60.2</td>
<td valign="top" align="center">241 days</td>
<td valign="top" align="center">7.67</td>
<td valign="top" align="center">TD: 2/103</td>
<td valign="top" align="center">TD: 3/103</td>
<td valign="top" align="center">TD: 2/103</td>
</tr>
<tr>
<td valign="top" align="center">ID: 56.5&#x2009;&#x00B1;&#x2009;14.1</td>
<td valign="top" align="center">ID: 62.6</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">ID: 2/91</td>
<td valign="top" align="center">ID: 3/91</td>
<td valign="top" align="center">ID: 3/91</td>
</tr>
<tr>
<td valign="top" align="center">SD: 54.1&#x2009;&#x00B1;&#x2009;15.0</td>
<td valign="top" align="center">SD: 59.4</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">SD: 4/106</td>
<td valign="top" align="center">SD: 4/106</td>
<td valign="top" align="center">SD: 2/106</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Matli et al. (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="left" rowspan="2">Lebanon</td>
<td valign="top" align="left" rowspan="2">TD vs. SD</td>
<td valign="top" align="left" rowspan="2">Retrospective cohort, single center</td>
<td valign="top" align="center" rowspan="2">82</td>
<td valign="top" align="center">TD: 62.55&#x2009;&#x00B1;&#x2009;15.80</td>
<td valign="top" align="center">TD: 67.7</td>
<td valign="top" align="center">10 months</td>
<td valign="top" align="center">20.73</td>
<td valign="top" align="center">TD: 9/31</td>
<td valign="top" align="center">TD: 2/31</td>
<td valign="top" align="center">TD: 7/31</td>
</tr>
<tr>
<td valign="top" align="center">SD: 59.69&#x2009;&#x00B1;&#x2009;17.04</td>
<td valign="top" align="center">SD: 58.8</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">SD: 5/51</td>
<td valign="top" align="center">SD: 5/51</td>
<td valign="top" align="center">SD: 5/51</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Bohula et al. (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" align="left" rowspan="2">U.S.</td>
<td valign="top" align="left" rowspan="2">TD vs. SD</td>
<td valign="top" align="left" rowspan="2">Randomized clinical trial, multicenter</td>
<td valign="top" align="center" rowspan="2">382</td>
<td valign="top" align="center">TD: 59 (50, 70)</td>
<td valign="top" align="center">TD: 61.8</td>
<td valign="top" align="center">574 days</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">TD: 18/191</td>
<td valign="top" align="center">TD: 4/191</td>
<td valign="top" align="center">TD: 1/191</td>
</tr>
<tr>
<td valign="top" align="center">SD: 62 (51, 68)</td>
<td valign="top" align="center">SD: 56.5</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">SD: 28/191</td>
<td valign="top" align="center">SD: 1/191</td>
<td valign="top" align="center">SD: 1/191</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Marcos-Jubilar et al. (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="left" rowspan="2">Spain</td>
<td valign="top" align="left" rowspan="2">TD vs. SD</td>
<td valign="top" align="left" rowspan="2">Randomized clinical trial, multicenter</td>
<td valign="top" align="center" rowspan="2">65</td>
<td valign="top" align="center">TD: 63.0&#x2009;&#x00B1;&#x2009;13.7</td>
<td valign="top" align="center">TD: 53.1</td>
<td valign="top" align="center">8 months</td>
<td valign="top" align="center">20.00</td>
<td valign="top" align="center">TD: 0/32</td>
<td valign="top" align="center">TD: 0/32</td>
<td valign="top" align="center">TD: 2/32</td>
</tr>
<tr>
<td valign="top" align="center">SD: 62.3&#x2009;&#x00B1;&#x2009;12.2</td>
<td valign="top" align="center">SD: 72.7</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">SD: 2/33</td>
<td valign="top" align="center">SD: 0/33</td>
<td valign="top" align="center">SD: 1/33</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Sholzberg et al. (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="left" rowspan="2">U.S.</td>
<td valign="top" align="left" rowspan="2">TD vs. SD</td>
<td valign="top" align="left" rowspan="2">Randomized clinical trial, multicenter</td>
<td valign="top" align="center" rowspan="2">257</td>
<td valign="top" align="center" rowspan="2">67</td>
<td valign="top" align="center" rowspan="2">54</td>
<td valign="top" align="center" rowspan="2">30 days</td>
<td valign="top" align="center" rowspan="2">33.07</td>
<td valign="top" align="center" rowspan="2">NA</td>
<td valign="top" align="center">TD: 6/130</td>
<td valign="top" align="center">TD: 25/130</td>
</tr>
<tr>
<td valign="top" align="center">SD: 2/127</td>
<td valign="top" align="center">SD: 32/127</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Myers et al. (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="left" rowspan="3">U.S.</td>
<td valign="top" align="left" rowspan="3">TD vs. SD,<break/>ID vs. SD</td>
<td valign="top" align="left" rowspan="3">Retrospective cohort, multicenter</td>
<td valign="top" align="center" rowspan="3">17,130</td>
<td valign="top" align="center">TD: 62.4&#x2009;&#x00B1;&#x2009;14.4</td>
<td valign="top" align="center">TD: 65.3</td>
<td valign="top" align="center">305 days</td>
<td valign="top" align="center">29.45</td>
<td valign="top" align="center">TD: 56/1,721</td>
<td valign="top" align="center">TD: 119/1,721</td>
<td valign="top" align="center">TD: 453/1,721</td>
</tr>
<tr>
<td valign="top" align="center">ID: 56.8&#x2009;&#x00B1;&#x2009;14.7</td>
<td valign="top" align="center">ID: 60.1</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">ID: 58/6,754</td>
<td valign="top" align="center">ID: 160/6,754</td>
<td valign="top" align="center">ID: 649/6,754</td>
</tr>
<tr>
<td valign="top" align="center">SD: 59.8&#x2009;&#x00B1;&#x2009;16.0</td>
<td valign="top" align="center">SD: 55.9</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">SD: 99/8,655</td>
<td valign="top" align="center">SD: 189/8,655</td>
<td valign="top" align="center">SD:968/8,655</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Gabara et al. (<xref ref-type="bibr" rid="B10">10</xref>)</td>
<td valign="top" align="left" rowspan="3">Spain</td>
<td valign="top" align="left" rowspan="3">TD vs. SD,<break/>ID vs. SD</td>
<td valign="top" align="left" rowspan="3">Randomized clinical trial, single center</td>
<td valign="top" align="center" rowspan="3">201</td>
<td valign="top" align="center">TD: 68.1&#x2009;&#x00B1;&#x2009;9.6</td>
<td valign="top" align="center">TD: 72.4</td>
<td valign="top" align="center">2 months</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">TD: 6/29</td>
<td valign="top" align="center">TD: 9/29</td>
<td valign="top" align="center">TD: 8/29</td>
</tr>
<tr>
<td valign="top" align="center">ID: 62.4&#x2009;&#x00B1;&#x2009;12.5</td>
<td valign="top" align="center">ID: 69.1</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">ID: 21/94</td>
<td valign="top" align="center">ID: 14/94</td>
<td valign="top" align="center">ID: 17/94</td>
</tr>
<tr>
<td valign="top" align="center">SD: 59.5&#x2009;&#x00B1;&#x2009;13.6</td>
<td valign="top" align="center">SD: 71.8</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">SD: 14/78</td>
<td valign="top" align="center">SD: 4/78</td>
<td valign="top" align="center">SD: 17/78</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Llitjos et al. (<xref ref-type="bibr" rid="B12">12</xref>)</td>
<td valign="top" align="left" rowspan="2">France</td>
<td valign="top" align="left" rowspan="2">TD vs. SD</td>
<td valign="top" align="left" rowspan="2">Retrospective cohort, multicenter</td>
<td valign="top" align="center" rowspan="2">26</td>
<td valign="top" align="center">TD: 67.5&#x2009;&#x00B1;&#x2009;5.7</td>
<td valign="top" align="center">TD: 77.8</td>
<td valign="top" align="center">23 days</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">TD: 10/18</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">TD: 2/18</td>
</tr>
<tr>
<td valign="top" align="center">SD: 68&#x2009;&#x00B1;&#x2009;6.9</td>
<td valign="top" align="center">SD: 75.0</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">SD: 8/8</td>
<td valign="top" align="center"/>
<td valign="top" align="center">SD: 1/8</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Hoogenboom et al. (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" align="left" rowspan="2">U.S.</td>
<td valign="top" align="left" rowspan="2">TD vs. SD</td>
<td valign="top" align="left" rowspan="2">Retrospective cohort, single center</td>
<td valign="top" align="center" rowspan="2">311</td>
<td valign="top" align="center">TD: 63.0 (53.0, 72.0)</td>
<td valign="top" align="center">TD: 71.9</td>
<td valign="top" align="center">144 days</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">TD: 12/153</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">TD: 73/153</td>
</tr>
<tr>
<td valign="top" align="center">SD: 56.0 (48.0, 67.0)</td>
<td valign="top" align="center">SD: 66.5</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">SD: 3/158</td>
<td valign="top" align="center"/>
<td valign="top" align="center">SD: 44/158</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn2"><p>NA, not available; VTE, venous thromboembolism; TD, therapeutic dose; ID, intermediate dose; SD, standard prophylactic dose. Severity case was defined as (i) need for intensive care unit admission (ii) need for mechanical ventilation with tracheal intubation (iii) CT showing severe lung invasion (iv) acute respiratory failure (v) death (vi) severe and or critical on the basis of the WHO novel grading of the severity of COVID-19. The presence of either of the above items was classified as severe case.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The 19 literature had a total of 25,289 COVID-19 patients, including 12,549 who received standard-dose prophylactic anticoagulation, 7,758 who received intermediate-dose prophylactic anticoagulation, and 4,982 received therapeutic-dose prophylactic anticoagulation. The total weighted mean age was 58.27 years. The weighted mean age of standard-dose, intermediate-dose, and therapeutic-dose prophylactic anticoagulation was 59.84 years, 57.32 years, and 60.74 years, respectively. Males accounted for 59.58&#x0025; of the total study population. The weighted proportion of males in standard-dose, intermediate-dose, and therapeutic-dose prophylactic anticoagulation was 57.22&#x0025;, 60.49&#x0025;, and 64.09&#x0025;, respectively. The ICU admission rate was 50.96&#x0025;. There were 7 studies in the United States, 1 in Saudi Arabia, 1 in Iran, 2 in Brazil, 1 in France, 3 in Spain, 1 in Lebanon, and 3 in multinational cooperative program. The sample size ranged from 20 to 17,130, and the median or mean follow-up time ranged from 30 days to 12 months.</p>
<p><xref ref-type="fig" rid="F2">Figures&#x00A0;2</xref>, <xref ref-type="fig" rid="F3">3</xref> displayed forest plots and the results were as follows. Compared with standard-dose prophylactic anticoagulation, results of therapeutic-dose prophylactic anticoagulation were: (1) VTE: I<sup>2&#x2009;</sup>&#x003D;&#x2009;83&#x0025;, <italic>P&#x2009;</italic>&#x003D;&#x2009;0.80, OR&#x2009;&#x003D;&#x2009;1.09 (95&#x0025; CI: 0.58, 2.02); (2) Major bleeding: I<sup>2&#x2009;</sup>&#x003D;&#x2009;23&#x0025;, <italic>P&#x2009;</italic>&#x003C;&#x2009;0.00001, OR&#x2009;&#x003D;&#x2009;2.59 (95&#x0025; CI: 1.87, 3.57); (3) Mortality: I<sup>2&#x2009;</sup>&#x003D;&#x2009;89&#x0025;, <italic>P&#x2009;</italic>&#x003D;&#x2009;0.59, OR&#x2009;&#x003D;&#x2009;1.12 (95&#x0025; CI: 0.75, 1.67). Compared with standard-dose prophylactic anticoagulation, results of intermediate-dose prophylactic anticoagulation were: (1) VTE: I<sup>2&#x2009;</sup>&#x003D;&#x2009;0&#x0025;, <italic>P&#x2009;</italic>&#x003D;&#x2009;0.32, OR&#x2009;&#x003D;&#x2009;0.89 (95&#x0025; CI: 0.70, 1.12); (2) Major bleeding: I<sup>2&#x2009;</sup>&#x003D;&#x2009;0&#x0025;, <italic>P&#x2009;</italic>&#x003D;&#x2009;0.18, OR&#x2009;&#x003D;&#x2009;1.15 (95&#x0025; CI: 0.94, 1.40); (3) Mortality: I<sup>2&#x2009;</sup>&#x003D;&#x2009;89&#x0025;, <italic>P&#x2009;</italic>&#x003D;&#x2009;0.24, OR&#x2009;&#x003D;&#x2009;1.34 (95&#x0025; CI: 0.83, 2.17).</p>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>(<bold>A</bold>) Venous thromboembolism. (<bold>B</bold>) Major bleeding. (<bold>C</bold>) Mortality. Forest plots comparing effects of therapeutic-dose anticoagulation with standard-dose prophylactic anticoagulation regimen.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-11-1381408-g002.tif"/>
</fig>
<fig id="F3" position="float"><label>Figure 3</label>
<caption><p>(<bold>A</bold>) Venous thromboembolism. (<bold>B</bold>) Major bleeding. (<bold>C</bold>) Mortality. Forest plots comparing effects of intermediate-dose anticoagulation versus standard-dose prophylactic anticoagulation regimen.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-11-1381408-g003.tif"/>
</fig>
<p>Because the I<sup>2</sup> of some forest plots was greater than 50&#x0025;, we continued to conduct funnel plots (<xref ref-type="fig" rid="F4">Figure&#x00A0;4</xref>) and sensitivity analysis (<xref ref-type="fig" rid="F5">Figures&#x00A0;5</xref>, <xref ref-type="fig" rid="F6">6</xref>). Results of pairwise comparison between therapeutic-dose and standard-dose prophylactic anticoagulation were: (1) VTE: Bohula et al. (<xref ref-type="bibr" rid="B33">33</xref>), Gabara et al. (<xref ref-type="bibr" rid="B10">10</xref>), Lopes et al. (<xref ref-type="bibr" rid="B29">29</xref>), Llitjos et al. (<xref ref-type="bibr" rid="B12">12</xref>), and Sholzberg et al. (<xref ref-type="bibr" rid="B30">30</xref>) had factors that might affect the results; (2) Major bleeding: Bohula et al. (<xref ref-type="bibr" rid="B33">33</xref>), Lopes et al. (<xref ref-type="bibr" rid="B29">29</xref>), Matli et al. (<xref ref-type="bibr" rid="B32">32</xref>), Marcos-Jubilar et al. (<xref ref-type="bibr" rid="B34">34</xref>), Sholzberg et al. (<xref ref-type="bibr" rid="B30">30</xref>), Sholzberg et al. (<xref ref-type="bibr" rid="B35">35</xref>), and Spyropoulos et al. (<xref ref-type="bibr" rid="B16">16</xref>) had factors that might affect the results; (3) Mortality: Bohula et al. (<xref ref-type="bibr" rid="B33">33</xref>), Gabara et al. (<xref ref-type="bibr" rid="B10">10</xref>), Goligher et al. (<xref ref-type="bibr" rid="B27">27</xref>), Lawler et al. (<xref ref-type="bibr" rid="B26">26</xref>), Lemos et al. (<xref ref-type="bibr" rid="B28">28</xref>), Lopes et al. (<xref ref-type="bibr" rid="B29">29</xref>), Marcos-Jubilar et al. (<xref ref-type="bibr" rid="B34">34</xref>), Mu&#x00F1;oz-Rivas et al. (<xref ref-type="bibr" rid="B31">31</xref>), Sholzberg et al. (<xref ref-type="bibr" rid="B35">35</xref>), and Spyropoulos et al. (<xref ref-type="bibr" rid="B16">16</xref>) had factors that might affect the results. Results of pairwise comparison between therapeutic-dose and standard-dose prophylactic anticoagulation were: (1) VTE: combined with I<sup>2&#x2009;</sup>&#x003D;&#x2009;0.0&#x0025;, fewer factors might affect the results; (2) Major bleeding: combined with I<sup>2&#x2009;</sup>&#x003D;&#x2009;0.0&#x0025;, Gabara et al. (<xref ref-type="bibr" rid="B10">10</xref>) had factors that might affect the results; (3) Mortality: Bikdeli et al. (<xref ref-type="bibr" rid="B25">25</xref>), Gabara et al. (<xref ref-type="bibr" rid="B10">10</xref>), Mu&#x00F1;oz-Rivas et al. (<xref ref-type="bibr" rid="B31">31</xref>), and Sadeghipour et al. (<xref ref-type="bibr" rid="B22">22</xref>) had factors that might affect the results.</p>
<fig id="F4" position="float"><label>Figure 4</label>
<caption><p>Funnel plots: effects of therapeutic-dose, intermediate-dose anticoagulation versus standard-dose prophylactic anticoagulation regimen. (<bold>A</bold>) Therapeutic-dose versus standard-dose prophylactic anticoagulation. (<bold>B</bold>) Intermediate-dose versus standard-dose prophylactic anticoagulation.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-11-1381408-g004.tif"/>
</fig>
<fig id="F5" position="float"><label>Figure 5</label>
<caption><p>Sensitivity analysis: therapeutic-dose anticoagulation versus standard-dose prophylactic anticoagulation regimen. (<bold>A</bold>) Sensitivity analysis of venous thromboembolism. (<bold>B</bold>) Sensitivity analysis of major bleeding. (<bold>C</bold>) Sensitivity analysis of mortality.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-11-1381408-g005.tif"/>
</fig>
<fig id="F6" position="float"><label>Figure 6</label>
<caption><p>Sensitivity analysis: intermediate-dose anticoagulation versus standard-dose prophylactic anticoagulation regimen. (<bold>A</bold>) Sensitivity analysis of venous thromboembolism. (<bold>B</bold>) Sensitivity analysis of major bleeding. (<bold>C</bold>) Sensitivity analysis of mortality.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-11-1381408-g006.tif"/>
</fig>
<p>In addition, we also developed NOS for the evaluation of literature quality (<xref ref-type="table" rid="T3">Table&#x00A0;3</xref>), indicating that the selected articles were of good quality.</p>
<table-wrap id="T3" position="float"><label>Table 3</label>
<caption><p>Literature quality assessment by the Newcastle-Ottawa scale.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Author (publication year)</th>
<th valign="top" align="center">Adequate definition of cases</th>
<th valign="top" align="center">Representativeness of the cases</th>
<th valign="top" align="center">Selection of controls</th>
<th valign="top" align="center">Definition of controls</th>
<th valign="top" align="center">Control for important factor</th>
<th valign="top" align="center">Ascertainment of exposure</th>
<th valign="top" align="center">Same method of ascertainment for cases and controls</th>
<th valign="top" align="center">Non-response rate</th>
<th valign="top" align="center">score</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Spyropoulos et al. (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Sadeghipour et al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;&#x2606;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Perepu et al. (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;&#x2606;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Alrashed et al. (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2606;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;&#x2606;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Bikdeli et al. (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;&#x2606;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Lawler et al. (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Goligher et al. (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Lemos et al. (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2606;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;&#x2606;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Lopes et al. (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">9</td>
</tr>
<tr>
<td valign="top" align="left">Sholzberg et al. (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2606;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;&#x2606;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2606;</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Mu&#x00F1;oz-Rivas et al. (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;&#x2606;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Matli et al. (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2606;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;&#x2606;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2606;</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Bohula et al. (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;&#x2606;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Marcos-Jubilar et al. (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2606;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;&#x2606;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Sholzberg et al. (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;&#x2606;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Myers et al. (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;&#x2606;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2606;</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Gabara et al. (<xref ref-type="bibr" rid="B10">10</xref>)</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2606;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;&#x2606;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2606;</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Llitjos et al. (<xref ref-type="bibr" rid="B12">12</xref>)</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;&#x2606;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Hoogenboom et al. (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2606;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;&#x2606;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2605;</td>
<td valign="top" align="center">&#x2606;</td>
<td valign="top" align="center">6</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>&#x2605;, Means one point; &#x2606;, no point.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Based on the above analysis, we further con ducted a subgroup analysis to identify the source of heterogeneity in terms of elders (65 years), gender, study duration, study design, and ICU admission rate. See <xref ref-type="table" rid="T4">Table&#x00A0;4</xref> for the results of the subgroup analysis.</p>
<table-wrap id="T4" position="float"><label>Table 4</label>
<caption><p>Subgroup and sensitivity analyses for the primary outcomes.</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"/>
<th valign="top" align="center">No. of studies</th>
<th valign="top" align="center">Odds ratio</th>
<th valign="top" align="center">95&#x0025; Cl</th>
<th valign="top" align="center"><italic>p</italic></th>
<th valign="top" align="center">I<sup>2</sup></th>
<th valign="top" align="center">Q statistic</th>
<th valign="top" align="center"><italic>P</italic> for subgroup</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Therapeutic dose vs. standard dose</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">VTE</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Age &#x2265;65 years old</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.41</td>
<td valign="top" align="center">(0.03, 6.56)</td>
<td valign="top" align="center">0.53</td>
<td valign="top" align="center">69&#x0025;</td>
<td valign="top" align="center">3.22</td>
<td valign="top" align="center">0.43</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Age &#x003C;65 years old</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">1.29</td>
<td valign="top" align="center">(0.62, 2.70)</td>
<td valign="top" align="center">0.49</td>
<td valign="top" align="center">85&#x0025;</td>
<td valign="top" align="center">34.44</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">ICU admission</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ICU admission rate&#x2009;&#x003D;&#x2009;100&#x0025;</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.23</td>
<td valign="top" align="center">(0.52, 2.91)</td>
<td valign="top" align="center">0.63</td>
<td valign="top" align="center">75&#x0025;</td>
<td valign="top" align="center">15.79</td>
<td valign="top" align="center">0.75</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ICU admission rate&#x2009;&#x2260;&#x2009;100&#x0025;</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.94</td>
<td valign="top" align="center">(0.23, 3.88)</td>
<td valign="top" align="center">0.94</td>
<td valign="top" align="center">90&#x0025;</td>
<td valign="top" align="center">19.76</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Duration</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Duration &#x2265;180 days</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.07</td>
<td valign="top" align="center">(0.48, 2.39)</td>
<td valign="top" align="center">0.86</td>
<td valign="top" align="center">88&#x0025;</td>
<td valign="top" align="center">32.70</td>
<td valign="top" align="center">0.94</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Duration &#x003C;180 days</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1.15</td>
<td valign="top" align="center">(0.22, 6.17)</td>
<td valign="top" align="center">0.87</td>
<td valign="top" align="center">71&#x0025;</td>
<td valign="top" align="center">6.88</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male&#x0025; &#x2265;70&#x0025;</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1.66</td>
<td valign="top" align="center">(0.68, 4.07)</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">58&#x0025;</td>
<td valign="top" align="center">7.17</td>
<td valign="top" align="center">0.36</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male&#x0025; &#x003C;70&#x0025;</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.85</td>
<td valign="top" align="center">(0.28, 2.59)</td>
<td valign="top" align="center">0.77</td>
<td valign="top" align="center">91&#x0025;</td>
<td valign="top" align="center">32.36</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Study type</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Randomized clinical trials</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">1.10</td>
<td valign="top" align="center">(0.54, 2.23)</td>
<td valign="top" align="center">0.79</td>
<td valign="top" align="center">85&#x0025;</td>
<td valign="top" align="center">33.16</td>
<td valign="top" align="center">0.83</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Retrospective cohort</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.70</td>
<td valign="top" align="center">(0.01, 43.89)</td>
<td valign="top" align="center">0.87</td>
<td valign="top" align="center">85&#x0025;</td>
<td valign="top" align="center">6.52</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Severity</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Critical</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.95</td>
<td valign="top" align="center">(0.70, 1.30)</td>
<td valign="top" align="center">0.76</td>
<td valign="top" align="center">57&#x0025;</td>
<td valign="top" align="center">9.29</td>
<td valign="top" align="center">0.22</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Non critical</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.34</td>
<td valign="top" align="center">(0.07, 1.71)</td>
<td valign="top" align="center">0.19</td>
<td valign="top" align="center">54&#x0025;</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Major bleeding event</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Age &#x2265;65 years old</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">4.73</td>
<td valign="top" align="center">(2.02, 11.09)</td>
<td valign="top" align="center"><bold>&#x003C;0</bold>.<bold>001</bold></td>
<td valign="top" align="center">0&#x0025;</td>
<td valign="top" align="center">1.38</td>
<td valign="top" align="center">0.13</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Age &#x003C;65 years old</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">2.32</td>
<td valign="top" align="center">(1.60, 3.35)</td>
<td valign="top" align="center"><bold>&#x003C;0</bold>.<bold>001</bold></td>
<td valign="top" align="center">32&#x0025;</td>
<td valign="top" align="center">11.76</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">ICU admission</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ICU admission rate&#x2009;&#x003D;&#x2009;100&#x0025;</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">3.19</td>
<td valign="top" align="center">(1.53, 6.63)</td>
<td valign="top" align="center"><bold>0</bold>.<bold>002</bold></td>
<td valign="top" align="center">42&#x0025;</td>
<td valign="top" align="center">5.19</td>
<td valign="top" align="center">0.52</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ICU admission rate&#x2009;&#x2260;&#x2009;100&#x0025;</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">2.42</td>
<td valign="top" align="center">(1.62, 3.60)</td>
<td valign="top" align="center"><bold>&#x003C;0</bold>.<bold>001</bold></td>
<td valign="top" align="center">23&#x0025;</td>
<td valign="top" align="center">9.07</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Duration</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Duration &#x2265;180 days</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">2.41</td>
<td valign="top" align="center">(1.73, 3.36)</td>
<td valign="top" align="center"><bold>&#x003C;0</bold>.<bold>001</bold></td>
<td valign="top" align="center">23&#x0025;</td>
<td valign="top" align="center">11.76</td>
<td valign="top" align="center">0.11</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Duration &#x003C;180 days</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">5.65</td>
<td valign="top" align="center">(2.07, 15.39)</td>
<td valign="top" align="center"><bold>&#x003C;0</bold>.<bold>001</bold></td>
<td valign="top" align="center">0&#x0025;</td>
<td valign="top" align="center">0.94</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male&#x0025; &#x2265;70&#x0025;</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">3.21</td>
<td valign="top" align="center">(1.34, 7.71)</td>
<td valign="top" align="center"><bold>0</bold>.<bold>01</bold></td>
<td valign="top" align="center">61&#x0025;</td>
<td valign="top" align="center">5.07</td>
<td valign="top" align="center">0.67</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male&#x0025; &#x003C;70&#x0025;</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">2.61</td>
<td valign="top" align="center">(1.86, 3.65)</td>
<td valign="top" align="center"><bold>&#x003C;0</bold>.<bold>001</bold></td>
<td valign="top" align="center">12&#x0025;</td>
<td valign="top" align="center">9.13</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Study type</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Randomized clinical trials</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">2.59</td>
<td valign="top" align="center">(1.84. 3.65)</td>
<td valign="top" align="center"><bold>&#x003C;0</bold>.<bold>001</bold></td>
<td valign="top" align="center">29&#x0025;</td>
<td valign="top" align="center">14.03</td>
<td valign="top" align="center">0.68</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Retrospective cohort</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.69</td>
<td valign="top" align="center">(0.23, 12.65)</td>
<td valign="top" align="center">0.61</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Severity</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Critical</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.78</td>
<td valign="top" align="center">(1.73, 4.47)</td>
<td valign="top" align="center"><bold>&#x003C; 0.001</bold></td>
<td valign="top" align="center">23&#x0025;</td>
<td valign="top" align="center">5.20</td>
<td valign="top" align="center">0.12</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Non critical</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.49</td>
<td valign="top" align="center">(0.81, 2.76)</td>
<td valign="top" align="center">0.20</td>
<td valign="top" align="center">37&#x0025;</td>
<td valign="top" align="center">3.16</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Mortality group</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Age &#x2265;65 years old</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.79</td>
<td valign="top" align="center">(0.54, 1.16)</td>
<td valign="top" align="center">0.23</td>
<td valign="top" align="center">0&#x0025;</td>
<td valign="top" align="center">1.44</td>
<td valign="top" align="center">0.16</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Age &#x003C;65 years old</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">1.22</td>
<td valign="top" align="center">(0.77, 1.93)</td>
<td valign="top" align="center">0.40</td>
<td valign="top" align="center">90&#x0025;</td>
<td valign="top" align="center">114.33</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">ICU admission</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ICU admission rate&#x2009;&#x003D;&#x2009;100&#x0025;</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">1.24</td>
<td valign="top" align="center">(0.85, 1.79)</td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center">50&#x0025;</td>
<td valign="top" align="center">12.03</td>
<td valign="top" align="center">0.72</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ICU admission rate&#x2009;&#x2260;&#x2009;100&#x0025;</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">1.08</td>
<td valign="top" align="center">(0.58, 2.01)</td>
<td valign="top" align="center">0.80</td>
<td valign="top" align="center">92&#x0025;</td>
<td valign="top" align="center">96.64</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Duration</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Duration &#x2265;180 days</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">1.13</td>
<td valign="top" align="center">(0.69, 1.84)</td>
<td valign="top" align="center">0.64</td>
<td valign="top" align="center">92&#x0025;</td>
<td valign="top" align="center">119.84</td>
<td valign="top" align="center">0.94</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Duration &#x003C;180 days</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.09</td>
<td valign="top" align="center">(0.51, 2.32)</td>
<td valign="top" align="center">0.83</td>
<td valign="top" align="center">69&#x0025;</td>
<td valign="top" align="center">12.90</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male&#x0025; &#x2265;70&#x0025;</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">1.26</td>
<td valign="top" align="center">(0.87, 1.82)</td>
<td valign="top" align="center">0.23</td>
<td valign="top" align="center">51&#x0025;</td>
<td valign="top" align="center">12.23</td>
<td valign="top" align="center">0.62</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male&#x0025; &#x003C;70&#x0025;</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">1.05</td>
<td valign="top" align="center">(0.56,1.95)</td>
<td valign="top" align="center">0.88</td>
<td valign="top" align="center">92&#x0025;</td>
<td valign="top" align="center">96.93</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Study type</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Randomized clinical trials</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">0.98</td>
<td valign="top" align="center">(0.62, 1.55)</td>
<td valign="top" align="center">0.93</td>
<td valign="top" align="center">91&#x0025;</td>
<td valign="top" align="center">133.97</td>
<td valign="top" align="center"><bold>0</bold>.<bold>01</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Retrospective cohort</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">2.33</td>
<td valign="top" align="center">(1.51, 3.60)</td>
<td valign="top" align="center"><bold>&#x003C;0</bold>.<bold>001</bold></td>
<td valign="top" align="center">0&#x0025;</td>
<td valign="top" align="center">0.62</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Severity</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Critical</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">1.16</td>
<td valign="top" align="center">(0.97, 1.38)</td>
<td valign="top" align="center">0.11</td>
<td valign="top" align="center">52&#x0025;</td>
<td valign="top" align="center">12.51</td>
<td valign="top" align="center"><bold>0</bold>.<bold>02</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Noncritical</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.03</td>
<td valign="top" align="center">(0.57, 1.01)</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">49&#x0025;</td>
<td valign="top" align="center">7.77</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Intermediate dose vs. standard dose</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">VTE</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Age &#x2265;65 years old</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1.50</td>
<td valign="top" align="center">(0.81, 2.77)</td>
<td valign="top" align="center">0.19</td>
<td valign="top" align="center">0&#x0025;</td>
<td valign="top" align="center">0.34</td>
<td valign="top" align="center">0.10</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Age &#x003C;65 years old</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.86</td>
<td valign="top" align="center">(0.66, 1.11)</td>
<td valign="top" align="center">0.70</td>
<td valign="top" align="center">5&#x0025;</td>
<td valign="top" align="center">2.21</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">ICU admission</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ICU admission rate&#x2009;&#x003D;&#x2009;100&#x0025;</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1.14</td>
<td valign="top" align="center">(0.78, 1.66)</td>
<td valign="top" align="center">0.50</td>
<td valign="top" align="center">0&#x0025;</td>
<td valign="top" align="center">0.58</td>
<td valign="top" align="center">0.87</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ICU admission rate&#x2009;&#x2260;&#x2009;100&#x0025;</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1.05</td>
<td valign="top" align="center">(0.43, 2.56)</td>
<td valign="top" align="center">0.91</td>
<td valign="top" align="center">65&#x0025;</td>
<td valign="top" align="center">2.89</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Duration</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Duration &#x2265;180 days</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1.04</td>
<td valign="top" align="center">(0.63, 1.72)</td>
<td valign="top" align="center">0.88</td>
<td valign="top" align="center">54&#x0025;</td>
<td valign="top" align="center">4.39</td>
<td valign="top" align="center">0.92</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Duration &#x003C;180 days</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1.08</td>
<td valign="top" align="center">(0.66, 1.76)</td>
<td valign="top" align="center">0.77</td>
<td valign="top" align="center">0&#x0025;</td>
<td valign="top" align="center">0.46</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male&#x0025; &#x2265;70&#x0025;</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1.26</td>
<td valign="top" align="center">(0.80, 2.00)</td>
<td valign="top" align="center">0.32</td>
<td valign="top" align="center">0&#x0025;</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">0.70</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male&#x0025; &#x003C;70&#x0025;</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.84</td>
<td valign="top" align="center">(0.63, 1.11)</td>
<td valign="top" align="center">0.22</td>
<td valign="top" align="center">1&#x0025;</td>
<td valign="top" align="center">3.02</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Severity</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Critical</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">(0.70, 1.42)</td>
<td valign="top" align="center">0.98</td>
<td valign="top" align="center">0&#x0025;</td>
<td valign="top" align="center">0.68</td>
<td valign="top" align="center">0.24</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Noncritical</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1.07</td>
<td valign="top" align="center">(0.77, 1.50)</td>
<td valign="top" align="center">0.22</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Major Bleeding group</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Age &#x2265;65 years old</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2.38</td>
<td valign="top" align="center">(0.86, 6.60)</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">3&#x0025;</td>
<td valign="top" align="center">1.03</td>
<td valign="top" align="center">0.15</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Age &#x003C;65 years old</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.11</td>
<td valign="top" align="center">(0.91, 1.36)</td>
<td valign="top" align="center">0.30</td>
<td valign="top" align="center">0&#x0025;</td>
<td valign="top" align="center">1.40</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">ICU admission</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ICU admission rate&#x2009;&#x003D;&#x2009;100&#x0025;</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1.85</td>
<td valign="top" align="center">(1.02, 3.35)</td>
<td valign="top" align="center"><bold>0</bold>.<bold>04</bold></td>
<td valign="top" align="center">0&#x0025;</td>
<td valign="top" align="center">1.78</td>
<td valign="top" align="center">0.10</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ICU admission rate&#x2009;&#x2260;&#x2009;100&#x0025;</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1.08</td>
<td valign="top" align="center">(0.88, 1.33)</td>
<td valign="top" align="center">0.47</td>
<td valign="top" align="center">0&#x0025;</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Duration</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Duration &#x2265;180 days</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1.08</td>
<td valign="top" align="center">(0.88, 1.33)</td>
<td valign="top" align="center">0.46</td>
<td valign="top" align="center">0&#x0025;</td>
<td valign="top" align="center">0.09</td>
<td valign="top" align="center">0.05</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Duration &#x003C;180 days</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">2.26</td>
<td valign="top" align="center">(1.12, 4.54)</td>
<td valign="top" align="center"><bold>0</bold>.<bold>02</bold></td>
<td valign="top" align="center">0&#x0025;</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male&#x0025; &#x2265;70&#x0025;</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1.86</td>
<td valign="top" align="center">(0.63, 5.52)</td>
<td valign="top" align="center">0.26</td>
<td valign="top" align="center">44&#x0025;</td>
<td valign="top" align="center">1.78</td>
<td valign="top" align="center">0.36</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male&#x0025; &#x003C;70&#x0025;</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.11</td>
<td valign="top" align="center">(0.91, 1.36)</td>
<td valign="top" align="center">0.31</td>
<td valign="top" align="center">0&#x0025;</td>
<td valign="top" align="center">1.41</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Severity</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Critical</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1.89</td>
<td valign="top" align="center">(1.05, 3.39)</td>
<td valign="top" align="center"><bold>0</bold>.<bold>03</bold></td>
<td valign="top" align="center">0&#x0025;</td>
<td valign="top" align="center">1.78</td>
<td valign="top" align="center">0.29</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Noncritical</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.91</td>
<td valign="top" align="center">(0.27, 3.05)</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">0&#x0025;</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Mortality group</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Age &#x2265;65 years old</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2.19</td>
<td valign="top" align="center">(0.24, 20.16)</td>
<td valign="top" align="center">0.49</td>
<td valign="top" align="center">85&#x0025;</td>
<td valign="top" align="center">6.90</td>
<td valign="top" align="center">0.64</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Age &#x003C;65 years old</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.27</td>
<td valign="top" align="center">(0.75, 2.15)</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center">91&#x0025;</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">ICU admission</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ICU admission rate&#x2009;&#x003D;&#x2009;100&#x0025;</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">(0.82, 1.21)</td>
<td valign="top" align="center">0.96</td>
<td valign="top" align="center">0&#x0025;</td>
<td valign="top" align="center">2.83</td>
<td valign="top" align="center"><bold>&#x003C;0</bold>.<bold>001</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ICU admission rate&#x2009;&#x2260;&#x2009;100&#x0025;</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">2.49</td>
<td valign="top" align="center">(1.59, 3.90)</td>
<td valign="top" align="center"><bold>&#x003C;0</bold>.<bold>001</bold></td>
<td valign="top" align="center">14&#x0025;</td>
<td valign="top" align="center">2.31</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Duration</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Duration &#x2265;180 days</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1.87</td>
<td valign="top" align="center">(0.79, 4.44)</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">89&#x0025;</td>
<td valign="top" align="center">28.11</td>
<td valign="top" align="center">0.22</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Duration &#x003C;180 days</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1.08</td>
<td valign="top" align="center">(0.86, 1.35)</td>
<td valign="top" align="center">0.51</td>
<td valign="top" align="center">0&#x0025;</td>
<td valign="top" align="center">0.73</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male&#x0025; &#x2265;70&#x0025;</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.77</td>
<td valign="top" align="center">(0.54, 1.10)</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">0&#x0025;</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center"><bold>0</bold>.<bold>02</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male&#x0025; &#x003C;70&#x0025;</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.68</td>
<td valign="top" align="center">(1.00, 2.83)</td>
<td valign="top" align="center">0.05</td>
<td valign="top" align="center">87&#x0025;</td>
<td valign="top" align="center">31.08</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Severity</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Critical</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">(0.82, 1.21)</td>
<td valign="top" align="center">0.96</td>
<td valign="top" align="center">0&#x0025;</td>
<td valign="top" align="center">2.83</td>
<td valign="top" align="center"><bold>0</bold>.<bold>01</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Noncritical</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">4.51</td>
<td valign="top" align="center">(1.48, 13.80)</td>
<td valign="top" align="center"><bold>0.008</bold></td>
<td valign="top" align="center">30&#x0025;</td>
<td valign="top" align="center">1.42</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Bold values indicate significant <italic>p</italic>-values &#x003C;&#x2009;0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The main purpose of network meta-analysis was to compare the difference between therapeutic-dose and intermediate-dose prophylactic anticoagulation. Further, ranking and surface under the cumulative ranking (SUCRA) probabilities were performed to carry out the recommended order of the three doses after evaluation of the incidence of VTE, major bleeding and mortality.</p>
<p>As shown in <xref ref-type="fig" rid="F7">Figure&#x00A0;7</xref>, this network meta-analysis had a closed-loop structure, so its results were to merge the direct and indirect comparisons and make decisions accordingly.</p>
<fig id="F7" position="float"><label>Figure 7</label>
<caption><p>Network meta-analysis diagram comparing efficacy and safety of three prophylactic anticoagulation regimen for COVID-19 patients. (<bold>A</bold>) Venous thromboembolism. (<bold>B</bold>) Major bleeding. (<bold>C</bold>) Mortality.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-11-1381408-g007.tif"/>
</fig>
<p>Combined with the inverted triangle plot (<xref ref-type="fig" rid="F8">Figure&#x00A0;8</xref>), compared with intermediate-dose prophylactic anticoagulation, OR and 95&#x0025;CI of VTE, major bleeding and mortality in therapeutic-dose prophylactic anticoagulation was 0.85 (95&#x0025; CI: 0.52, 1.38), 2.42 (95&#x0025; CI: 1.58, 3.70) and 0.84 (95&#x0025; CI: 0.60, 1.17).</p>
<fig id="F8" position="float"><label>Figure 8</label>
<caption><p>Inverted triangle plot of network meta-analysis: therapeutic-dose versus intermediate-dose prophylactic anticoagulation regimen. (<bold>A</bold>) Venous thromboembolism. (<bold>B</bold>) Major bleeding. (<bold>C</bold>) Mortality.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-11-1381408-g008.tif"/>
</fig>
<p>The adjusted funnel plot in <xref ref-type="fig" rid="F9">Figure&#x00A0;9</xref> pointed out no evidence of publication bias in our included articles.</p>
<fig id="F9" position="float"><label>Figure 9</label>
<caption><p>Corrected funnel plot of network meta-analysis. (<bold>A</bold>) Venous thromboembolism. (<bold>B</bold>) Major bleeding. (<bold>C</bold>) Mortality.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-11-1381408-g009.tif"/>
</fig>
<p>Furthermore, we ranked the impact of three doses of prophylactic anticoagulation on VTE, major bleeding, and mortality in patients with COVID-19. Ranking and SUCRA were shown in Figures&#x00A0;<xref ref-type="fig" rid="F10">10</xref>, <xref ref-type="fig" rid="F11">11</xref>, separately.</p>
<fig id="F10" position="float"><label>Figure 10</label>
<caption><p>Rank-order plot of network meta-analysis. (<bold>A</bold>) Venous thromboembolism. (<bold>B</bold>) Major bleeding. (<bold>C</bold>) Mortality.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-11-1381408-g010.tif"/>
</fig>
<fig id="F11" position="float"><label>Figure 11</label>
<caption><p>SUCRA plots of network meta-analysis. (<bold>A</bold>) Venous thromboembolism. (<bold>B</bold>) Major bleeding. (<bold>C</bold>) Mortality.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-11-1381408-g011.tif"/>
</fig>
</sec>
<sec id="s4" sec-type="discussion"><label>4</label><title>Discussion</title>
<p>SARS-CoV-2 infection can not only cause multiple organ damage (<xref ref-type="bibr" rid="B38">38</xref>), but greatly increase the risk of VTE. As early as the begin ning of the COVID-19 pandemic in 2020, studies from Wuhan, China, initially revealed that COVID-19 patients had a high risk of VTE (<xref ref-type="bibr" rid="B39">39</xref>), which was gradually confirmed with the outbreak all over the world. Marchandot et al. (<xref ref-type="bibr" rid="B40">40</xref>) summarized studies on hospitalized COVID-19 patients from different countries and found that the incidence of VTE in non-ICU and ICU patients was 3&#x0025;&#x2013;46&#x0025; and 15&#x0025;&#x2013;85&#x0025;, separately. Nopp et al. (<xref ref-type="bibr" rid="B41">41</xref>) conducted a meta-analysis of 66 clinical studies with 28,173 COVID-19 patients and indicated that the overall incidence of VTE was 14.1&#x0025;. Among them, the incidence of VTE was 40.3&#x0025; if lower extremity venous color Doppler ultrasound screening was used, and 9.5&#x0025; if no ultrasound screening was used. Stals MAM et al. (<xref ref-type="bibr" rid="B42">42</xref>) analyzed 3 ho spitals in the Netherlands and reported that the incidence of VTE in hospitalized COVID-19 patients was 18.7&#x0025;, while that in hospitalized patients with influenza from 2013 to 2018 was only 1.04&#x0025;. Although the incidence of VTE varies from study to study, there is a consensus that the risk of VTE remains higher in COVID-19 patients, and the more severe the disease, the higher the risk (<xref ref-type="bibr" rid="B43">43</xref>).</p>
<p>On the other hand, the prognosis of COVID-19 patients tends to be worse if VTE occurs. A study (<xref ref-type="bibr" rid="B44">44</xref>) from Wuhan, China, enrolled 143 COVID-19 cases in the ICU and noted that compared with patients without DVT, the mortality of those who had comorbid DVT was significantly higher (34.8&#x0025; vs.11.7&#x0025;, <italic>P&#x2009;</italic>&#x003D;&#x2009;0.001). Kollias A et al. (<xref ref-type="bibr" rid="B45">45</xref>) developed a meta-analysis of more than 6,000 patients and revealed that the incidence of PE and DVT in hospitalized patients with COVID-19 was 32&#x0025; and 27&#x0025;, respectively, and the risk of death was twice higher if VTE was accompanied. Even if VTE is not the direct cause of death, it may be an important cause. Lax et al. (<xref ref-type="bibr" rid="B46">46</xref>) from Australia analyzed an autopsy study on 11 patients who died of COVID-19 and proved that all patients had comorbid PE (<xref ref-type="bibr" rid="B46">46</xref>). Wichmann et al. (<xref ref-type="bibr" rid="B8">8</xref>) published an autopsy report on 12 patients who died of COVID-19, showing that 58&#x0025; had DVT and 33&#x0025; died of PE rather than COVID-19. Therefore, early scientific and reasonable prevention and treatment of VTE is essential to improve the prognosis of COVID-19. However, since VTE and COVID-19 share many vital signs and clinical symptoms, it becomes difficult to identify in the early stage, so prophylactic anticoagulation emerges as the times require. With the growing evidence on the association between prophylactic anticoagulation and lower mortality among COVID-19 patients, the International Society on Thrombosis and Hemostasis (ISTH) (<xref ref-type="bibr" rid="B47">47</xref>) and American College of Clinical Pharma (ACCP) (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>) have issued relevant clinical guidelines or expert consensus and recommended standard-dose prophylactic anticoagulation for all hospitalized COVID-19 patients if there is no contraindication. In clinical practice, however, VTE still occurs in some hospitalized cases receiving standard-dose prophylactic anticoagulation (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B50">50</xref>). Considering the high incidence of COVID-19 combined with VTE and the high mortality due to disease progression, prophylactic anticoagulation with higher doses than standard has been carried out in many hospitals (<xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B51">51</xref>), which may place patients at higher risk for major bleeding (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B52">52</xref>). Controversy exists regarding which thromboprophylaxis treatment can achieve better clinical benefits in hospitalized patients with COVID-19.</p>
<p>Benefits from the use of standard-dose prophylactic anticoagulation in patients with COVID-19 remain controversial. Almohareb et al. (<xref ref-type="bibr" rid="B9">9</xref>) and Gabara et al. (<xref ref-type="bibr" rid="B10">10</xref>) both supported standard-dose prophylactic anticoagulation in COVID-19 patients, the former confirmed that increasing dose over the standard was not associated with reduced mortality, and the latter implied that the use of intermediate-dose and therapeutic-dose prophylactic anticoagulation seemed to have a higher risk of bleeding in critical COVID-19 cases. Cohen et al. (<xref ref-type="bibr" rid="B11">11</xref>) identified that compared with treatment-dose anticoagulation, prophylactic-dose anticoagulation in COVID-19 patients could reduce VTE or mortality. On the contrary, Llitjos et al. (<xref ref-type="bibr" rid="B12">12</xref>) documented that the proportion of VTE was significantly higher in patients treated with standard-dose prophylactic anticoagulation than in other groups (i.e., intermediate-dose and therapeutic-dose).</p>
<p>The advantages of intermediate-dose prophylactic anticoagulation in patients with COVID-19 have not reached an agreement. Hamilton et al. (<xref ref-type="bibr" rid="B53">53</xref>) expressed that compared with standard-dose, intermediate-dose thromboprophylaxis in critical COVID-19 patients could have better levels of anti-FXa. A randomized clinical trial by Engelen et al. (<xref ref-type="bibr" rid="B14">14</xref>) displayed that in hospitalized patients with COVID-19, no additional symptomatic VTE occurred after the implementation of a systematic weight-adjusted thromboprophylaxis (prophylactic-dose in the general ward and intermediate-dose in ICU), and collateral DVT reduced. Al-Dorzi et al. (<xref ref-type="bibr" rid="B50">50</xref>) described the benefits of intermediate-dose enoxaparin in reducing VTE and mortality than standard-dose unfractionated heparin or enoxaparin in patients with severe COVID-19. However, the results of Aljuhani et al. (<xref ref-type="bibr" rid="B54">54</xref>) concluded that compared with the standard-dose prophylactic anticoagulation, intermediate-dose prophylactic anticoagulation was not associated with thrombosis or mortality in critical COVID-19, but increased risk of minor bleeding. Al-Abani et al. (<xref ref-type="bibr" rid="B13">13</xref>) performed ultrasound on COVID-19 patients in ICU with intermediate-dose prophylactic anticoagulation and illustrated that patients still had a high incidence of VTE and bleeding complications.</p>
<p>Consensus is needed regarding the efficacy of therapeutic-dose prophylactic anticoagulation in patients with COVID-19. Spyropoulos et al. (<xref ref-type="bibr" rid="B16">16</xref>) initiated a randomized clinical trial on COVID-19 patients and showed that therapeutic-doses of low-molecular-weight heparin could reduce thromboembolism and death. However, a prospective observational study by Kumar et al. (<xref ref-type="bibr" rid="B55">55</xref>) interpreted that the use of therapeutic-dose prophylactic anticoagulation in patients with COVID-19 did not reduce the incidence of VTE, but was associated with higher in-hospital mortality. In a retrospective study of 1,121 patients in 33 hospitals, Parks et al. (<xref ref-type="bibr" rid="B15">15</xref>) proposed that compared with other anticoagulation regimens, the incidence of VTE and bleeding in COVID-19 patients receiving therapeutic-dose anticoagulation was three times and five times higher, separately.</p>
<p>This meta-analysis included 19 studies published between January 1, 2020, and October 31, 2022. To our knowledge, this is the first meta-analysis conducting a <italic>p</italic> airwise comparison among three conventional prophylactic anticoagulations in the incidence of VTE, major bleeding, and mortality. This meta-analysis included 19 related studies with 25,289 COVID-19 patients, and the results showed that: (1) compared with standard-dose prophylactic anticoagulation, odds ratio (OR) and 95&#x0025; confidence interval (CI) of VTE, major bleeding and mortality in therapeutic-dose prophylactic anticoagulation was 1.09 (95&#x0025; CI: 0.58, 2.02), 2.59 (95&#x0025; CI: 1.87, 3.57) and 1.12 (95&#x0025; CI: 0.75, 1.67), respectively; (2) compared with standard-dose prophylactic anticoagulation, OR and 95&#x0025;CI of VTE, major bleeding and mortality in intermediate-dose prophylactic anticoagulation was 0.89 (95&#x0025; CI: 0.70, 1.12), 1.15 (95&#x0025; CI: 0.94, 1.40) and 1.34 (95&#x0025; CI: 0.83, 2.17), respectively; (3) compared with intermediate-dose prophylactic anticoagulation, OR and 95&#x0025;CI of VTE, major bleeding and mortality in therapeutic-dose prophylactic anticoagulation was0.85 (95&#x0025; CI: 0.52, 1.38), 2.42 (95&#x0025; CI: 1.58, 3.70) and 0.84 (95&#x0025; CI: 0.60, 1.17). The above results suggested that compared with COVID-19 patients receiving intermediate-dose or therapeutic-dose prophylactic anticoagulation, those who underwent standard-dose prophylactic anticoagulation had the lowest risk of bleeding events. In terms of VTE and mortality, no significant differences were found.</p>
<p>We further ranked the impact of the three doses of anticoagulation on VTE, major bleeding, and mortality in patients with COVID-19. Combining the results of ranking (Figure&#x00A0;<xref ref-type="fig" rid="F10">10</xref>) and SUCRA (Figure&#x00A0;<xref ref-type="fig" rid="F11">11</xref>), the order of probability of VTE events from high to low was: therapeutic-dose &#x003E;&#x003E; standard-dose &#x003E; intermediate-dose. The order of probability of major bleeding events from high to low was: therapeutic-dose &#x003E; intermediate-dose &#x003E;&#x003E; standard-dose. The order of probability of death events from high to low was: therapeutic-dose &#x003E;&#x003E; standard-dose &#x003E; intermediate-dose. This ranking result further validated the previous results.</p>
<p>To verify the applicability of the above results, we conducted a subgroup analysis in terms of age, ICU admission rate, hospital stay, etc. It is worth noting that compared with the standard dose, although therapeutic-dose prophylactic anticoagulation increased the risk of major bleeding, it could significantly reduce VTE formation in patients over 65 years of age.</p>
<p>To sum up, consistent with ISTH guidelines and ACCP guidelines (<xref ref-type="bibr" rid="B49">49</xref>), we recommended a standard-dose rather than an above-standard dose (i.e., intermediate-dose or therapeutic-dose) for prophylactic anticoagulation in COVID-19 patients who received no anticoagulation therapy within 6 months before admission. Only for elderly COVID-19 patients with low bleeding risk and high VTE risk, we recommended therapeutic-dose prophylactic anticoagulation. In addition, the Caprini score is the most validated VTE risk assessment tool and has been used to evaluate the risk of VTE in approximately 5 million medical and surgical patients worldwide. Since COVID-19 patients are themselves at high risk for VTE, the revised Caprini Score has been tailored to the initial Caprini Score (2005 version), with the addition of a score for elevated D-dimer and a score for COVID-19 infections, specifically: asymptomatic infections are considered to be a 2-point score, symptomatic infections are considered to be a 3-point score, and symptomatic infections combined with elevated D-dimer are 5 points were considered (<xref ref-type="bibr" rid="B56">56</xref>). Based on this score, the risk of VTE in COVID-19 patients can be further evaluated and guide the application of clinical anticoagulation programs. Therefore, it is scientific and reasonable to provide standard-dose prophylactic anticoagulation for all hospitalized patients in a timely manner, to increase the dose individually for elderly patients with a high risk of VTE or acceptable risk of bleeding, as well as to adjust the dose according to the patient&#x0027;s weight and the disease progression. It is expected that there will be a higher level of evidence to verify our conclusion in the future.</p>
<p>There are some limitations in this study. First, the prevalence of thromboembolism in COVID-19 patients was likely to be underestimated. The possible reason was that the incidence of thrombotic events (e.g., PE, DVT, myocardial infarction, ischemic stroke, and other thromboembolism) diagnosed with routine clinical care was often less than that seen on computed tomography pulmonary angiography (CTPA). Second, we could only obtain a preliminary conclusion from our included articles on the comparison between therapeutic-dose or intermediate-dose and standard-dose prophylactic anticoagulation, as well as the comparison between therapeutic-dose and intermediate-dose prophylactic anticoagulation from the network meta-analysis. Meanwhile, considering the limited number of relevant clinical studies and the presence of heterogeneity, follow-up large-scale studies are required to further explore the safety and effectiveness of different treatments, so as to guide clinical practice and improve the disease status. Third, we encountered high statistical heterogeneity during the meta-analysis. Despite we conducted a prespecified sensitivity analysis, these failed to adequately explain such heterogeneity. This residual heterogeneity might derive from sources of variation between studies, most notably because of age, gender, race, lack of continuous registration, clinical measurements, nursing level, virus strains, and disease severity. Finally, most included studies were rated as having a moderate risk of bias, reflecting generally low methodological quality. The underlying explanations were the lack of control for confounders, inconsistent or unclear context in VTE evaluations, and possible selection bias due to the absence of continuous patient registration.</p>
</sec>
<sec id="s5" sec-type="conclusions"><label>5</label><title>Conclusion</title>
<p>In terms of prevention and treatment of VTE, this study pointed out that COVID-19 patients in general could not benefit more from intermediate-dose or therapeutic-dose prophylactic anticoagulation than standard-dose prophylactic anticoagulation, while elderly COVID-19 patients with low bleeding risk and high VTE risk appeared to benefit more from therapeutic-dose prophylactic anticoagulation. Therefore, we suggested that individualized adjustment should be performed based on the standard-dose prophylactic anticoagulation according to the specific conditions of COVID-19 patients. At the same time, this meta-analysis further supported the expert consensus of ACCP guidelines that patients with COVID-19 should still receive standard-dose prophylactic anticoagulation, while non-critically ill patients with low bleeding risk might benefit from therapeutic-dose prophylactic anticoagulation. In summary, this meta-analysis only provided a preliminary conclusion for reference due to the objective limitations of different health service levels, types of strains, types, and doses of vaccines, presence of thromboprophylaxis, and thromboprophylaxis regimens. Further studies will still have positive clinical implications for COVID-19 patients.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability"><title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7" sec-type="author-contributions"><title>Author contributions</title>
<p>XC: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. SZ: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. HL: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. QZ: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. JC: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. QZ: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. NG: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. YC: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. QL: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. QX: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. SY: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. XC: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="s8" sec-type="funding-information"><title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article.</p>
<p>This study was supported by a grant from Fujian Provincial Health Scientific and Technological Guidance Projects (Project No. 2021Y0098).</p>
</sec>
<sec id="s9" 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="s10" 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>
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