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<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-id pub-id-type="publisher-id">1620394</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2025.1620394</article-id>
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<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Systematic Review</subject>
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<title-group>
<article-title>Effectiveness and safety of direct oral anticoagulants versus vitamin K antagonists in atrial fibrillation patients with liver disease: a systematic review and meta-analysis</article-title>
<alt-title alt-title-type="left-running-head">Zhou et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2025.1620394">10.3389/fphar.2025.1620394</ext-link>
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<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Zhou</surname>
<given-names>Qiang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
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<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Liu</surname>
<given-names>Xiang</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
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<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Shuyu</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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<contrib contrib-type="author">
<name>
<surname>Gu</surname>
<given-names>Zhichun</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Yanzi</given-names>
</name>
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<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Yuansu</given-names>
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<xref ref-type="aff" rid="aff5">
<sup>5</sup>
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<contrib contrib-type="author">
<name>
<surname>Tao</surname>
<given-names>Yingying</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wei</surname>
<given-names>Meng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Clinical Pharmacy</institution>, <institution>Jinling Hospital</institution>, <institution>Medical School of Nanjing University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>College of Traditional Chinese Medicine</institution>, <institution>Jiangsu College of Nursing</institution>, <addr-line>Huaian</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Cardiology</institution>, <institution>Jinling Hospital</institution>, <institution>Medical School of Nanjing University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Pharmacy</institution>, <institution>Renji Hospital</institution>, <institution>School of Medicine</institution>, <institution>Shanghai Jiao Tong University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Research and Training</institution>, <institution>Jinling Hospital</institution>, <institution>Medical School of Nanjing University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1543826/overview">Shusen Sun</ext-link>, Western New England University, United States</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/637006/overview">Jiaxing Zhang</ext-link>, Guizhou Provincial People&#x2019;s Hospital, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2900251/overview">Zhang Li</ext-link>, Second Affiliated Hospital of Xi&#x2019;an Jiaotong University, China</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Meng Wei, <email>carolmeng_0813@163.com</email>
</corresp>
<fn fn-type="equal" id="fn001">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>14</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1620394</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>06</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Zhou, Liu, Liu, Gu, Wu, Yang, Tao and Wei.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Zhou, Liu, Liu, Gu, Wu, Yang, Tao and Wei</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Patients with atrial fibrillation (AF) and liver disease, particularly cirrhosis, are frequently excluded from anticoagulation trials, leaving the optimal therapeutic strategy uncertain.</p>
</sec>
<sec>
<title>Methods</title>
<p>This study aimed to compare the effectiveness and safety of direct oral anticoagulants (DOACs) and vitamin K antagonists (VKAs) in patients with AF and liver disease. We systematically searched the PubMed, Cochrane Library, Medline, and Embase databases for relevant studies published up to November 2024.</p>
</sec>
<sec>
<title>Results</title>
<p>Fourteen studies, involving 44,848 participants, were included. Compared to VKAs, DOACs were associated with significantly lower risks of major bleeding (risk ratio [RR]: 0.64, 95% confidence interval [CI]: 0.55&#x2013;0.75; P &#x3c; 0.0001), intracranial bleeding (RR: 0.43, 95% CI: 0.33&#x2013;0.56; P &#x3c; 0.0001), gastrointestinal (GI) bleeding (RR: 0.72, 95% CI: 0.59&#x2013;0.89; P &#x3d; 0.002), and all-cause mortality (RR: 0.83, 95% CI: 0.70&#x2013;0.98; P &#x3d; 0.03). No significant difference was observed in ischemic stroke/systemic embolism (RR: 0.77, 95% CI: 0.52&#x2013;1.13; P &#x3d; 0.19). In patients with cirrhosis, DOACs were similarly superior for major bleeding, GI bleeding, and intracranial bleeding. Subgroup analyses revealed that apixaban demonstrated a more favorable safety profile than rivaroxaban in patients with liver disease, whereas both agents showed comparable effectiveness and safety in cirrhotic patients.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>DOACs are safer and equally effective alternatives to VKAs in patients with AF and liver disease, including those with cirrhosis. In patients with liver disease, apixaban may offer additional safety benefits compared with rivaroxaban. However, in patients with cirrhosis, the effectiveness and safety profiles of the two drugs are similar.</p>
</sec>
<sec>
<title>Systematic review registration</title>
<p>
<ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://www.crd.york.ac.uk/PROSPERO/view/CRD42024623387">https://www.crd.york.ac.uk/PROSPERO/view/CRD42024623387</ext-link>
</p>
</sec>
</abstract>
<kwd-group>
<kwd>atrial fibrillation</kwd>
<kwd>liver disease</kwd>
<kwd>direct oral anticoagulants</kwd>
<kwd>vitamin K antagonists</kwd>
<kwd>anticoagulants</kwd>
<kwd>meta-analysis</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Drugs Outcomes Research and Policies</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Atrial fibrillation (AF) is one of the most common arrhythmias in older patients, affecting nearly 33 million individuals worldwide (<xref ref-type="bibr" rid="B4">Benjamin et al., 1998</xref>). Patients with AF have a 1.5-fold higher risk of mortality and 2.5-fold higher risk of stroke than those without AF (<xref ref-type="bibr" rid="B17">Go et al., 2001</xref>). Long-term anticoagulant therapy is essential for reducing the risk of thromboembolic events in these patients. Liver disease, caused by hepatitis B or C virus infection, alcohol-related liver disease, and metabolic dysfunction-associated fatty liver disease, leads to hepatic impairment and abnormal coagulation, contributing to a global public health burden (<xref ref-type="bibr" rid="B1">Asrani et al., 2019</xref>; <xref ref-type="bibr" rid="B57">Xiao et al., 2025</xref>). Particularly in patients with cirrhosis, coagulation balance is often severely disrupted, elevating the risk of both venous thromboembolism (VTE) and bleeding (<xref ref-type="bibr" rid="B55">Tripodi and Mannucci, 2011</xref>). Therefore, clinical guidelines and expert consensus recommend anticoagulation in patients with AF and liver disease to prevent ischemic stroke or systemic embolism (<xref ref-type="bibr" rid="B25">Joglar et al., 2023</xref>; <xref ref-type="bibr" rid="B22">Husted et al., 2014</xref>).</p>
<p>The most commonly used oral anticoagulants include vitamin K antagonists (VKAs) and direct oral anticoagulants (DOACs). DOACs are favored over VKAs owing to their predictable pharmacokinetics, fewer food and drug interactions, and the absence of a need for regular therapeutic drug monitoring (<xref ref-type="bibr" rid="B28">Kirchhof et al., 2016</xref>; <xref ref-type="bibr" rid="B7">Chen et al., 2020</xref>). Although the safety and effectiveness of DOACs have been established in patients with AF and cancer or chronic kidney disease, their use in patients with liver disease remains controversial because such patients are frequently excluded from randomized controlled trials (RCTs) (<xref ref-type="bibr" rid="B27">Khorana et al., 2017</xref>; <xref ref-type="bibr" rid="B26">Jones et al., 2024</xref>; <xref ref-type="bibr" rid="B44">Schrag et al., 2023</xref>; <xref ref-type="bibr" rid="B23">Hydes et al., 2023</xref>). Previous meta-analyses have suggested that DOACs may be effective and safe alternatives to VKAs in patients with AF and liver disease (<xref ref-type="bibr" rid="B8">Chen et al., 2022</xref>). However, conflicting findings have been reported. Mort et al. reported that the risk of spontaneous bleeding was elevated in patients with liver disease receiving DOACs (<xref ref-type="bibr" rid="B36">Mort et al., 2021</xref>), while Song et al. found increased readmission rates associated with DOAC use compared to warfarin (<xref ref-type="bibr" rid="B51">Song et al., 2024</xref>). Moreover, most studies have neither compared individual DOACs nor evaluated the effects of different dosage regimens.</p>
<p>Given the complex balance between bleeding and thrombotic risks in patients with AF and liver disease, further evidence is needed to guide clinical decision-making (<xref ref-type="bibr" rid="B46">Senzolo and Garcia-Pagan, 2023</xref>). A recent meta-analysis by <xref ref-type="bibr" rid="B34">Miranda Maria et al. (2025)</xref> specifically examined patients with both AF and liver cirrhosis and found that DOACs were associated with lower risks of major bleeding, gastrointestinal (GI) bleeding, and all-cause mortality than VKAs, with no significant difference in thromboembolic events. However, that study focused exclusively on patients with cirrhosis and did not perform subgroup analyses by geographic region or follow-up duration, nor did it assess differences among individual DOACs or compare different dosage regimens. Additionally, their study did not apply the GRADE (Grading of Recommendations, Assessment, Development, and Evaluation) framework to assess the certainty of evidence (<xref ref-type="bibr" rid="B34">Miranda Maria et al., 2025</xref>).</p>
<p>To address these limitations, we conducted a comprehensive systematic review and meta-analysis that incorporated real-world data from studies on patients with AF and liver disease. In addition to evaluating the effectiveness and safety of DOACs versus VKAs, we performed subgroup analyses by geographic region, follow-up duration, DOAC type (apixaban vs rivaroxaban), and dose (standard vs. low-dose). We also applied the GRADE framework to assess the quality of the evidence. These enhancements aim to provide more detailed and clinically actionable guidance on anticoagulation strategies for this high-risk patient population.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>2 Methods</title>
<p>This systematic review and meta-analysis were conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (<xref ref-type="sec" rid="s12">Supplementary Table S1</xref>) (<xref ref-type="bibr" rid="B45">Schulman and Kearon, 2005</xref>). The study was prospectively registered with PROSPERO (registration ID CRD42024623387).</p>
<sec id="s2-1">
<title>2.1 Data sources and search strategy</title>
<p>We systematically searched PubMed, Embase, MEDLINE, and the Cochrane Library for eligible studies published up to November 2024, with no language restrictions. The search strategy was as follows (atrial fibrillation OR non-valvular atrial fibrillation OR AF OR NVAF) AND (liver disease OR impaired liver function OR hepatic disease OR cirrhosis OR cirrhotic) AND (DOAC OR NOAC OR direct oral anticoagulant OR new oral anticoagulant OR non-vitamin K antagonist oral anticoagulant OR rivaroxaban OR apixaban OR dabigatran OR edoxaban) AND (VKA OR vitamin K antagonist OR warfarin). Full details of search terms were presented in <xref ref-type="sec" rid="s12">Supplementary Table S2</xref>. Two reviewers (Q.Z. and S.Y.L.) independently screened the literature and extracted data. Discrepancies were resolved by discussion or consultation with a third reviewer (Y.Z.W.).</p>
</sec>
<sec id="s2-2">
<title>2.2 Inclusion and exclusion criteria</title>
<p>Studies were included based on the following PICO criteria: (1) population, patients with AF and liver disease; (2) intervention, DOAC therapy; (3) comparator, VKA therapy; and (4) outcomes, bleeding or thrombotic events or all-cause mortality. We excluded: (1) animal studies; (2) case reports; (3) case series; (4) review articles; (5) systematic reviews or meta-analyses; (6) studies with duplicate data; (7) single-arm studies; (8) studies with unavailable outcomes; (9) studies not involving patients with AF or liver disease; and (10) studies where DOACs were not used as anticoagulants.</p>
</sec>
<sec id="s2-3">
<title>2.3 Outcomes</title>
<p>Our outcomes of interest were ischemic stroke/systemic embolism (IS/SE), major bleeding, all-cause mortality, intracranial bleeding, GI bleeding. Major bleeding was defined according to the International Society on Thrombosis and Hemostasis (ISTH) (<xref ref-type="bibr" rid="B35">Moher et al., 2009</xref>) or the International Classification of Diseases, 9th and 10th revisions (ICD-9/ICD-10).</p>
</sec>
<sec id="s2-4">
<title>2.4 Data extraction</title>
<p>From each eligible study, we extracted the first author, year of publication, country or region, study population, percentage of female participants, study design, sample size, outcomes, mean age, hypertension, diabetes, combined antiplatelet therapy (APT), non steroidal anti-inflammatory drugs (NSAIDs), proton pump inhibitor/H2 receptor antagonist (PPI/H2RA), Child-Pugh score, CHA<sub>2</sub>DS<sub>2</sub>-VASc score, HAS-BLED score, follow-up duration, and the adjustment methods used for outcome comparisons.</p>
</sec>
<sec id="s2-5">
<title>2.5 Quality assessment and the certainty of evidence</title>
<p>Two reviewers (Q. Z. and S. Y. L.) independently assessed the methodological quality of included studies. RCTs were evaluated using the Cochrane Risk of Bias 2 (ROB 2.0) tool across five domains: randomization process, deviations from intended interventions, missing outcome data, measurement of outcomes, and selection of the reported results (<xref ref-type="bibr" rid="B20">Higgins et al., 2011</xref>). Non-randomized studies were assessed using the Risk Of Bias in Non-randomized Studies of Interventions (ROBINS-I) tool, which evaluates seven domains: confounding, selection of participants, classification of interventions, deviations from intended interventions, missing data, measurement of outcomes, and selection of reported results. Each domain is graded as low, moderate, serious, or no information (<xref ref-type="bibr" rid="B54">Sterne et al., 2016</xref>). The certainty of evidence for each outcome was rated using the GRADE approach (<xref ref-type="bibr" rid="B2">Atkins et al., 2004</xref>).</p>
</sec>
<sec id="s2-6">
<title>2.6 Statistical analysis</title>
<p>We used forest plots to measure clinical outcome events, and used a random effects model to calculate risk ratios (RR) and associated 95% confidence intervals (95% CI). Subgroup analyses were conducted using DOAC dosage (standard vs. low dose), DOAC type (apixaban vs. rivaroxaban), region (Americas, Asia, and Europe), and follow-up duration (&#x2264;12 months vs. &#x3e;12 months). The standard doses included rivaroxaban 20&#xa0;mg once daily, dabigatran 150&#xa0;mg twice daily, and apixaban 5&#xa0;mg twice daily; Low doses of rivaroxaban 10&#x2013;15&#xa0;mg once daily, dabigatran 110&#xa0;mg twice daily, and apixaban 2.5&#xa0;mg twice daily (<xref ref-type="bibr" rid="B53">Steffel J et al., 2021</xref>).</p>
<p>Sensitivity analyses were conducted by sequentially removing individual studies and excluding low-quality ones. To evaluate robustness, the results were calculated using hazard ratios (HR)/adjusted hazard ratios (aHR) and 95% CIs when available. Publication bias was assessed visually using funnel plots and the Egger&#x2019;s test. All statistical analyses were performed using the Review Manager (RevMan version 5.4, Cochrane Collaboration) and Stata (version 18.0, StataCorp). Statistical significance was defined as a two-sided p-value of &#x3c;0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 Study selection and baseline characteristics</title>
<p>A total of 2,571 articles were initially retrieved through a systematic search. After removing duplicates and screening the titles, abstracts, and full texts, 14 studies met the eligibility criteria and were included in the meta-analysis. The PRISMA flow diagram illustrating the study selection process is shown in <xref ref-type="fig" rid="F1">Figure 1</xref> (<xref ref-type="bibr" rid="B51">Song et al., 2024</xref>; <xref ref-type="bibr" rid="B11">Chou et al., 2024</xref>; <xref ref-type="bibr" rid="B14">Douros et al., 2024</xref>; <xref ref-type="bibr" rid="B50">Simon et al., 2024</xref>; <xref ref-type="bibr" rid="B30">Lawal et al., 2023</xref>; <xref ref-type="bibr" rid="B3">Baylo et al., 2023</xref>; <xref ref-type="bibr" rid="B58">Yoo et al., 2022</xref>; <xref ref-type="bibr" rid="B47">Serper et al., 2021</xref>; <xref ref-type="bibr" rid="B31">Lee et al., 2019a</xref>; <xref ref-type="bibr" rid="B41">Qamar et al., 2019</xref>; <xref ref-type="bibr" rid="B32">Lee et al., 2019b</xref>; <xref ref-type="bibr" rid="B18">Goriacko and Veltri, 2018</xref>; <xref ref-type="bibr" rid="B39">Pastori et al., 2018</xref>; <xref ref-type="bibr" rid="B56">Wang et al., 2018</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Flowchart showing the process of literature screening.</p>
</caption>
<graphic xlink:href="fphar-16-1620394-g001.tif">
<alt-text content-type="machine-generated">Flowchart titled &#x22;Identification of studies via databases and registers&#x22; with three sections: Identification, Screening, and Included. Identification: 2,571 records were found through database search; 931 were duplicates or removed. Screening: 1,640 records screened; 993 excluded by titles and abstracts. Reports for eligibility: 647; 633 full-text articles excluded for various reasons. Included: 14 articles in quantitative synthesis.</alt-text>
</graphic>
</fig>
<p>These 14 studies involved 44,848 patients with atrial fibrillation and liver disease, including 27,807 treated with DOACs and 17,041 treated with VKAs. Of the included studies, 12 (<xref ref-type="bibr" rid="B51">Song et al., 2024</xref>; <xref ref-type="bibr" rid="B11">Chou et al., 2024</xref>; <xref ref-type="bibr" rid="B14">Douros et al., 2024</xref>; <xref ref-type="bibr" rid="B50">Simon et al., 2024</xref>; <xref ref-type="bibr" rid="B30">Lawal et al., 2023</xref>; <xref ref-type="bibr" rid="B58">Yoo et al., 2022</xref>; <xref ref-type="bibr" rid="B47">Serper et al., 2021</xref>; <xref ref-type="bibr" rid="B31">Lee et al., 2019a</xref>; <xref ref-type="bibr" rid="B32">Lee et al., 2019b</xref>; <xref ref-type="bibr" rid="B18">Goriacko and Veltri, 2018</xref>; <xref ref-type="bibr" rid="B39">Pastori et al., 2018</xref>; <xref ref-type="bibr" rid="B56">Wang et al., 2018</xref>) were cohort studies, one (<xref ref-type="bibr" rid="B3">Baylo et al., 2023</xref>) RCT, and one (<xref ref-type="bibr" rid="B41">Qamar et al., 2019</xref>) <italic>post hoc</italic> analysis of RCT. Five studies (<xref ref-type="bibr" rid="B11">Chou et al., 2024</xref>; <xref ref-type="bibr" rid="B58">Yoo et al., 2022</xref>; <xref ref-type="bibr" rid="B31">Lee et al., 2019a</xref>; <xref ref-type="bibr" rid="B32">Lee et al., 2019b</xref>; <xref ref-type="bibr" rid="B56">Wang et al., 2018</xref>) were conducted in Asian populations, three (<xref ref-type="bibr" rid="B14">Douros et al., 2024</xref>; <xref ref-type="bibr" rid="B3">Baylo et al., 2023</xref>; <xref ref-type="bibr" rid="B39">Pastori et al., 2018</xref>) in European populations, and seven (<xref ref-type="bibr" rid="B51">Song et al., 2024</xref>; <xref ref-type="bibr" rid="B14">Douros et al., 2024</xref>; <xref ref-type="bibr" rid="B50">Simon et al., 2024</xref>; <xref ref-type="bibr" rid="B30">Lawal et al., 2023</xref>; <xref ref-type="bibr" rid="B47">Serper et al., 2021</xref>; <xref ref-type="bibr" rid="B41">Qamar et al., 2019</xref>; <xref ref-type="bibr" rid="B18">Goriacko and Veltri, 2018</xref>) in American populations. One study (<xref ref-type="bibr" rid="B14">Douros et al., 2024</xref>) included both American and European participants. The follow-up duration across the studies ranged from 0.25 to 5.6 years. The baseline characteristics of the included studies are presented in <xref ref-type="table" rid="T1">Table 1</xref> and <xref ref-type="sec" rid="s12">Supplementary Table S3</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Baseline characteristics of participants included in the study.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Author</th>
<th align="left">Country or region</th>
<th align="left">Patient population</th>
<th align="left">Study design</th>
<th align="left">DOAC group; n</th>
<th align="left">VKA group, n</th>
<th align="left">Outcomes</th>
<th align="left">Follow up (year)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">
<xref ref-type="bibr" rid="B11">Chou et al. (2024)</xref>
</td>
<td align="left">Taiwan</td>
<td align="left">Liver cirrhosis-related disease: alcoholism (16.5%); HBV infection (32.0%); HCV infection (31.8%); Nonalcoholic fatty liver disease (9.6%)</td>
<td align="left">Retrospective cohort study</td>
<td align="left">Dabigatran, rivaroxaban, <font color="#333333">edoxaban,</font>and apixaban; 478</td>
<td align="left">Warfarin, 237</td>
<td align="left">&#x2460;&#x2461;&#x2462;&#x2463;&#x2464;</td>
<td align="left">2.6, 3.2</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B14">Douros et al. (2024)</xref>
</td>
<td align="left">United Kingdom and Canada</td>
<td align="left">Types of liver disease: fatty liver (48.1%); cirrhosis (22.6%); alcoholic liver disease (12.1%); failure/coma (7.1%); cancer (6.7%); infection (5.1%); transplant (0.9%); other (36.2%)</td>
<td align="left">Retrospective cohort study</td>
<td align="left">Dabigatran, rivaroxaban, <font color="#333333">edoxaban,</font>and apixaban; 8,815</td>
<td align="left">VKAs, 3,696</td>
<td align="left">&#x2461;&#x2462;&#x2463;&#x2464;</td>
<td align="left">NA</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B50">Simon et al. (2024)</xref>
</td>
<td align="left">United States</td>
<td align="left">Cause of cirrhosis: MASLD or MASH (72.8%); alcohol-related liver disease (26.4%); chronic viral hepatitis (13.9%); other/unspecified (13.2%)</td>
<td align="left">Retrospective cohort study</td>
<td align="left">Apixaban; 2,852</td>
<td align="left">Warfarin, 2,852</td>
<td align="left">&#x2460;&#x2461;&#x2462;&#x2463;&#x2464;</td>
<td align="left">Apixaban: 0.27, warfarin: 0.28</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B50">Simon et al. (2024)</xref>
</td>
<td align="left">United States</td>
<td align="left">Cause of cirrhosis: MASLD or MASH (69.2%); alcohol-related liver disease (25.7%); chronic viral hepatitis (16.5%); other/unspecified (13.6%)</td>
<td align="left">Retrospective cohort study</td>
<td align="left">Apixaban; 2,785</td>
<td align="left">Rivaroxaban, 2,785</td>
<td align="left">&#x2460;&#x2461;&#x2462;&#x2463;&#x2464;</td>
<td align="left">Apixaban: 0.28, rivaroxaban: 0.24</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B51">Song et al. (2024)</xref>
</td>
<td align="left">United States</td>
<td align="left">Cirrhosis: diagnosis of liver cirrhosis based on ICD code</td>
<td align="left">Retrospective cohort study</td>
<td align="left">Dabigatran, rivaroxaban, <font color="#333333">edoxaban</font>and apixaban; 251</td>
<td align="left">Warfarin, 98</td>
<td align="left">&#x2462;</td>
<td align="left">5.2</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B30">Lawal et al. (2023)</xref>
</td>
<td align="left">United States</td>
<td align="left">Chronic liver disease etiologies: NAFLD/NASH (30.7%); cirrhosis (28.8%); viral hepatitis (10.9%); liver cancer (1.5%); liver failure (5.1%); alcoholic liver disease (12.1%); liver diseases of genetic causes (4.4%); liver diseases of autoimmune causes (4.4%); Budd-Chiari disease (0.1%); liver transplantation (0.8%); secondary or unspecified biliary cirrhosis (0.7%); others (1.3%)</td>
<td align="left">Retrospective cohort study</td>
<td align="left">Dabigatran, rivaroxaban, <font color="#333333">edoxaban,</font>and apixaban; 5,788</td>
<td align="left">Warfarin, 4,421</td>
<td align="left">&#x2460;&#x2461;&#x2462;&#x2463;</td>
<td align="left">Approximately 0.57, 1</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B3">Baylo et al. (2023)</xref>
</td>
<td align="left">Ukraine</td>
<td align="left">Etiology of liver cirrhosis: alcohol (42.9%); HCV (8.9%); HBV (8.9%); NAFLD (28.6%); others (10.7%)</td>
<td align="left">RCT</td>
<td align="left">Dabigatran (110&#xa0;mg/bid); 30</td>
<td align="left">Warfarin, 26</td>
<td align="left">&#x2460;&#x2461;</td>
<td align="left">0.25</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B58">Yoo et al. (2022)</xref>
</td>
<td align="left">Korea</td>
<td align="left">Etiology of cirrhosis:<font color="#231F20">
</font>alcoholic liver disease (26.9%);<font color="#231F20">
</font>hepatitis B virus infection (34%);<font color="#231F20">
</font>hepatitis C virus infection (10.5%);<font color="#231F20">
</font>others (28.6%)</td>
<td align="left">Retrospective cohort study</td>
<td align="left">Dabigatran, rivaroxaban, <font color="#333333">edoxaban,</font>and apixaban; 128</td>
<td align="left">Warfarin, 110</td>
<td align="left">&#x2460;&#x2461;</td>
<td align="left">5.6</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B47">Serper et al. (2021)</xref>
</td>
<td align="left">United States</td>
<td align="left">Etiology of cirrhosis: HCV/alcohol (72.4%); NAFLD/NASH (18%); other (9.6%)</td>
<td align="left">Retrospective cohort study</td>
<td align="left">Factor Xa (apixaban, betrixaban, endoxaban, and rivaroxaban) or thrombin (dabigatran); 201</td>
<td align="left">Warfarin, 614</td>
<td align="left">&#x2463;&#x2464;</td>
<td align="left">4.6</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B31">Lee et al. (2019a)</xref>
</td>
<td align="left">Taiwan</td>
<td align="left">Cirrhosis: including alcoholic or non-alcoholic liver cirrhosis</td>
<td align="left">Retrospective cohort study</td>
<td align="left">Dabigatran (110&#xa0;mg/bid), rivaroxaban (10&#x2013;15&#xa0;mg/qd), and apixaban (2.5&#xa0;mg/bid); 1,397</td>
<td align="left">Warfarin, 946</td>
<td align="left">&#x2460;&#x2461;&#x2463;&#x2464;</td>
<td align="left">1.13, 1.30</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B41">Qamar et al. (2019)</xref>
</td>
<td align="left">United States</td>
<td align="left">Liver disease: NAFLD (30.1%); baseline AST/ALT &#x3e;2x ULN only (12.5%); alcohol (4.2%); viral hepatitis (19.8%); cirrhosis (1.8%); congestive hepatopathy (1.7%); others (29.6%)</td>
<td align="left">Post hoc analysis of RCT</td>
<td align="left" style="color:#333333">
<font color="#333333">Edoxaban (30 or 60</font>&#xa0;<font color="#333333">mg/qd); 718</font>
</td>
<td align="left">Warfarin, 365</td>
<td align="left">&#x2460;&#x2461;&#x2462;&#x2463;&#x2464;</td>
<td align="left">2.8</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B32">Lee et al. (2019b)</xref>
</td>
<td align="left">Korea</td>
<td align="left">Types of liver diseases: viral hepatitis (9.1%); alcoholic livre disease (7.7%); toxic liver disease (4.6%); hepatic failure (1.3%); chronic hepatitis (9.3%); liver fibrosis and cirrhosis (1.6%); other inflammatory liver disease (6.7%); other liver disease (59.1%); liver disease in diseases classified elsewhere (0.6%)</td>
<td align="left">Retrospective cohort study</td>
<td align="left">Dabigatran, rivaroxaban, <font color="#333333">edoxaban,</font>and apixaban; 3,115</td>
<td align="left">Warfarin, 1827</td>
<td align="left">&#x2460;&#x2461;&#x2462;&#x2463;&#x2464;</td>
<td align="left">1.2</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B18">Goriacko and Veltri (2018)</xref>
</td>
<td align="left">United States</td>
<td align="left">Etiology of chronic liver disease: alcohol (15.5%); viral (2.1%); NASH (40.8%); other (41.6%)</td>
<td align="left">Retrospective cohort study</td>
<td align="left">Dabigatran, rivaroxaban, and apixaban; 75</td>
<td align="left">Warfarin, 158</td>
<td align="left">&#x2462;</td>
<td align="left">1.7</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B39">Pastori et al. (2018)</xref>
</td>
<td align="left">United Kingdom</td>
<td align="left">Advanced liver fibrosis</td>
<td align="left">Prospective cohort study</td>
<td align="left">Dabigatran, rivaroxaban, <font color="#333333">edoxaban,</font>and apixaban; 1,033</td>
<td align="left">VKAs, 1,297</td>
<td align="left">&#x2461;&#x2463;&#x2464;</td>
<td align="left">2.1</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B56">Wang et al. (2018)</xref>
</td>
<td align="left">Taiwan</td>
<td align="left">Impaired liver function: serum AST or ALT &#x3e;2-fold the upper limit of normal or total bilirubin &#x3e;1.5-fold the upper limit of normal</td>
<td align="left">Retrospective cohort study</td>
<td align="left">Dabigatran, rivaroxaban, <font color="#333333">edoxaban,</font>and apixaban; 342</td>
<td align="left">Warfarin, 394</td>
<td align="left">&#x2460;&#x2461;&#x2462;&#x2463;</td>
<td align="left">1</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NA, not available; AF, atrial fibrillation; DOAC, direct oral anticoagulant; VKA, vitamin K antagonist; RCT, randomized controlled trial; MASH, metabolic dysfunction-associated steatohepatitis; MASLD, metabolic dysfunction-associated steatotic liver disease; NAFLD, non-alcoholic fatty liver disease; NASH, non-alcoholic steatohepatitis; HCV, hepatitis C virus; AST, aspartate aminotransferase; ALT, alaninet amino ransferase; ICD, International Classification of Diseases; BID, bis in die; QD, quaque die; IS, ischemic stroke; SE, systemic embolism; &#x2460;: IS/SE; &#x2461;: Major bleeding; &#x2462;: All-cause mortality; &#x2463;: Gastrointestinal bleeding; &#x2464;: Intracranial hemorrhage.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>3.2 Quality assessment</title>
<p>The quality of the included studies was assessed using ROB 2.0 for RCTs and ROBINS-I for observational studies. A single RCT (<xref ref-type="bibr" rid="B3">Baylo A et al., 2023</xref>) was considered to have a low overall risk of bias (<xref ref-type="sec" rid="s12">Supplementary Figure S1</xref>). Among the 13 non-randomized studies, four were rated as having a serious overall risk of bias (<xref ref-type="bibr" rid="B51">Song et al., 2024</xref>; <xref ref-type="bibr" rid="B47">Serper et al., 2021</xref>; <xref ref-type="bibr" rid="B18">Goriacko and Veltri, 2018</xref>; <xref ref-type="bibr" rid="B39">Pastori et al., 2018</xref>), seven as moderate (<xref ref-type="bibr" rid="B11">Chou et al., 2024</xref>; <xref ref-type="bibr" rid="B14">Douros et al., 2024</xref>; <xref ref-type="bibr" rid="B30">Lawal et al., 2023</xref>; <xref ref-type="bibr" rid="B58">Yoo et al., 2022</xref>; <xref ref-type="bibr" rid="B31">Lee et al., 2019a</xref>; <xref ref-type="bibr" rid="B32">Lee et al., 2019b</xref>; <xref ref-type="bibr" rid="B56">Wang et al., 2018</xref>), and two as low (<xref ref-type="bibr" rid="B50">Simon et al., 2024</xref>; <xref ref-type="bibr" rid="B41">Qamar et al., 2019</xref>) (<xref ref-type="sec" rid="s12">Supplementary Figure S2</xref>).</p>
<p>The certainty of the evidence was rated using the GRADE framework. In patients with liver disease, the evidence for intracranial bleeding was graded as high quality, whereas evidence for major bleeding and gastrointestinal (GI) bleeding was of low quality. The evidence for IS/SE and intracranial bleeding was rated very low. In patients with liver cirrhosis, the certainty of evidence was moderate for IS/SE, major bleeding, and GI bleeding and low for all-cause mortality and intracranial bleeding (<xref ref-type="sec" rid="s12">Supplementary Tables S4 and S5</xref>).</p>
</sec>
<sec id="s3-3">
<title>3.3 Outcomes in patients with liver disease</title>
<p>Among patients with liver disease and AF, DOACs were associated with significantly lower risks of major bleeding (RR: 0.64, 95% CI: 0.55&#x2013;0.75; P &#x3c; 0.0001), GI bleeding (RR: 0.72, 95% CI: 0.59&#x2013;0.89; P &#x3d; 0.002), intracranial bleeding (RR: 0.43, 95% CI: 0.33&#x2013;0.56; P &#x3c; 0.0001), and all-cause mortality (RR: 0.83, 95% CI: 0.70&#x2013;0.98; P &#x3d; 0.03) compared to VKAs. No significant difference was observed in the risk of IS/SE between the two groups (RR: 0.77, 95% CI: 0.52&#x2013;1.13, P &#x3d; 0.19) (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Meta-analysis of outcomes in patients with liver disease. DOAC, direct oral anticoagulant; VKA, vitamin K antagonist; IS, ischemic stroke; SE, systemic embolism; RR, risk ratio; CI, confidence interval. <bold>(A)</bold>. IS/SE <bold>(B)</bold>. Major bleeding <bold>(C)</bold>. All-cause mortality <bold>(D)</bold>. Gastrointestinal bleeding <bold>(E)</bold>. Intracranial bleeding.</p>
</caption>
<graphic xlink:href="fphar-16-1620394-g002.tif">
<alt-text content-type="machine-generated">Five forest plots (A, B, C, D, E) comparing Direct Oral Anticoagulants (DOACs) versus Vitamin K Antagonists (VKAs) across various studies. Each plot shows risk ratios with confidence intervals, weights, and total events. Plots analyze different outcomes and subgroups, indicating effect sizes and heterogeneity with diamonds representing overall effects.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-4">
<title>3.4 Outcomes in patients with liver cirrhosis</title>
<p>In the subgroup of patients with liver cirrhosis and AF, DOACs similarly demonstrated a significantly lower risk of major bleeding (RR: 0.69, 95% CI: 0.61&#x2013;0.78; P &#x3c; 0.0001), GI bleeding (RR: 0.67, 95% CI: 0.55&#x2013;0.81; P &#x3c; 0.0001), and intracranial bleeding (RR: 0.57, 95% CI: 0.37&#x2013;0.88; P &#x3d; 0.01) compared to VKAs. However, the two groups did not differ significantly in IS/SE (RR: 0.89, 95% CI: 0.71&#x2013;1.12; P &#x3d; 0.33) or all-cause mortality (RR: 0.91, 95% CI: 0.81&#x2013;1.01; P &#x3d; 0.07) (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Meta-analysis of outcomes in patients with liver cirrhosis. DOAC, direct oral anticoagulant; VKA, vitamin K antagonist; IS, ischemic stroke; SE, systemic embolism; RR, risk ratio; CI, confidence interval. <bold>(A)</bold>. IS/SE <bold>(B)</bold>. Major bleeding <bold>(C)</bold>. All-cause mortality <bold>(D)</bold>. Gastrointestinal bleeding <bold>(E)</bold>. Intracranial bleeding.</p>
</caption>
<graphic xlink:href="fphar-16-1620394-g003.tif">
<alt-text content-type="machine-generated">Forest plots comparing DOACs and VKAs across multiple studies. Panels A to E show risk ratios with confidence intervals for each study subgroup and overall. Plots illustrate varied risks, weights, and total events with corresponding heterogeneity and statistical data.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-5">
<title>3.5 Subgroup analysis</title>
<p>Subgroup analyses were performed based on geographic region, follow-up duration, and specific drug selection.</p>
<p>Among patients with AF and liver disease, DOACs consistently demonstrated a lower risk of major bleeding than VKAs across all regions (all P &#x3c; 0.05), whereas the risk of IS/SE was similar between the two groups (all P &#x3e; 0.05) (<xref ref-type="fig" rid="F4">Figure 4A</xref>). In patients with liver cirrhosis, DOACs were associated with significantly reduced risks of major bleeding in both American (RR: 0.73, 95% CI: 0.63&#x2013;0.84; P &#x3c; 0.0001) and Asian populations (RR: 0.59, 95% CI: 0.47&#x2013;0.74; P &#x3c; 0.0001). However, no significant differences were observed in the risk of IS/SE between these regions (all P &#x3e; 0.05). In contrast, among European patients with cirrhosis, DOACs and VKAs were associated with similar risks of major bleeding (RR: 0.80, 95% CI: 0.51&#x2013;1.25, P &#x3d; 0.32) and IS/SE (RR: 0.57, 95% CI: 0.21&#x2013;1.58, P &#x3d; 0.28) (<xref ref-type="fig" rid="F4">Figure 4B</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Subgroup analysis of data from different regions. DOAC, direct oral anticoagulant; VKA, vitamin K antagonist; IS, ischemic stroke; SE, systemic embolism; RR, risk ratio; CI, confidence interval. <bold>(A)</bold>. Liver disease <bold>(B)</bold>. Liver cirrhosis.</p>
</caption>
<graphic xlink:href="fphar-16-1620394-g004.tif">
<alt-text content-type="machine-generated">Forest plots showing comparative risks of various health outcomes related to liver disease and cirrhosis across different regions: Asia, Europe, and Americas. Panel A focuses on liver disease, showing relative risks (RR) of ISB/SE, major bleeding, all-cause mortality, gastrointestinal bleeding, and intracranial bleeding. Panel B addresses liver cirrhosis, with similar health outcomes. Risk ratios favor either Direct Oral Anticoagulants (DOACs) or Vitamin K Antagonists (VKAs), with 95% confidence intervals marked on a scale from zero to two.</alt-text>
</graphic>
</fig>
<p>When stratified by follow-up time, in patients with AF and liver disease or cirrhosis, DOACs were associated with significantly lower risks of major bleeding and intracranial bleeding than VKAs during follow-up periods of less than 1&#xa0;year (all P &#x3c; 0.05). However, there were no statistically significant differences in GI bleeding, IS/SE, or all-cause mortality between the two groups in the short-term follow-up subgroup (all P &#x3e; 0.05). In contrast, when the follow-up exceeded 1&#xa0;year, DOACs were associated with significantly reduced risks of GI bleeding in both patients with liver disease (RR: 0.60, 95% CI: 0.46&#x2013;0.77; P &#x3c; 0.0001) and cirrhosis (RR: 0.55, 95% CI: 0.44&#x2013;0.71; P &#x3c; 0.0001) (<xref ref-type="fig" rid="F5">Figure 5</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Subgroup analysis of data from different follow-up durations. DOAC, direct oral anticoagulant; VKA, vitamin K antagonist; IS, ischemic stroke; SE, systemic embolism; RR, risk ratio; CI, confidence interval. <bold>(A)</bold>. Liver disease <bold>(B)</bold>. Liver cirrhosis.</p>
</caption>
<graphic xlink:href="fphar-16-1620394-g005.tif">
<alt-text content-type="machine-generated">Two panels labeled A and B show forest plots comparing the relative risk (RR) with confidence intervals (CI) for DOACs versus VKAs in patients with liver diseases and liver cirrhosis, respectively. Each panel presents data for follow-up times of less than or equal to 12 months and greater than 12 months, covering outcomes like IS/SE, major bleeding, and all-cause mortality. Most RRs are below 1.0, indicating a lower risk with DOACs compared to VKAs.</alt-text>
</graphic>
</fig>
<p>In a direct comparison between DOAC types, patients with AF and liver disease treated with apixaban had significantly lower risks of major bleeding (RR: 1.35, 95% CI: 1.16&#x2013;1.56, P &#x3c; 0.0001) and GI bleeding (RR: 1.40, 95% CI: 1.09&#x2013;1.80, P &#x3d; 0.0006) than those treated with rivaroxaban. No significant differences were observed in the other outcomes between the two drugs (all P &#x3e; 0.05). Similarly, apixaban and rivaroxaban yielded comparable outcomes across all endpoints (all P &#x3e; 0.05) in patients with cirrhosis.</p>
<p>Lastly, when comparing standard-dose and low-dose DOAC regimens, patients with liver disease (RR: 0.57, 95% CI: 0.48&#x2013;0.78; P &#x3d; 0.0004) or cirrhosis (RR: 0.52, 95% CI: 0.43&#x2013;0.64; P &#x3c; 0.0001) who received standard-dose DOACs had a significantly lower risk of all-cause mortality. However, there were no statistically significant differences between the dosing groups for the other outcomes (all P &#x3e; 0.05) (<xref ref-type="fig" rid="F6">Figure 6</xref>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Subgroup analysis of data for direct oral anticoagulants (DOACs) (A. Rivaroxaban group vs Apixaban group; B. Regular-dose group vs Reduced-dose group). IS, ischemic stroke; SE, systemic embolism; ICH, intracranial hemorrhage; GI, Gastrointestinal; RR, risk ratio; CI, confidence interval. <bold>(A)</bold>. Rivaroxaban vs. Apixaban <bold>(B)</bold>. Regular-dose vs. Reduced-dose.</p>
</caption>
<graphic xlink:href="fphar-16-1620394-g006.tif">
<alt-text content-type="machine-generated">Two forest plots compare different outcomes for liver disease and liver cirrhosis. Plot A compares rivaroxaban and apixaban, while Plot B compares regular-dose and reduced-dose treatments. Outcomes include IS/SE, major bleeding, all-cause mortality, gastrointestinal bleeding, and intracranial bleeding. Risk ratios (RR) with 95% confidence intervals (CI) are provided alongside each outcome. Horizontal lines with markers represent RRs and their CIs.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-6">
<title>3.6 Sensitivity analysis</title>
<p>Sensitivity analyses were performed to assess the robustness of the pooled results. The sequential exclusion of individual studies showed consistent findings across all outcomes, except for all-cause mortality in patients with AF and liver disease, which exhibited minor variability (<xref ref-type="sec" rid="s12">Supplementary Tables S6 and S7</xref>). Further sensitivity analysis, excluding studies with a high risk of bias, revealed no significant changes in the results (<xref ref-type="sec" rid="s12">Supplementary Tables S8 and S9</xref>), reinforcing the overall stability of the findings.</p>
<p>Additionally, when HR/aHR were used instead of RR, the incidence of all-cause mortality remained significantly lower in the DOACs than that in the VKAs among patients with AF and cirrhosis (HR: 0.81, 95% CI: 0.71&#x2013;0.91; aHR: 0.82, 95% CI: 0.72&#x2013;0.95). For all other outcomes, the results remained consistent when analyzed using either the RR or HR/aHR (<xref ref-type="sec" rid="s12">Supplementary Figures S3 and S4</xref>). These findings suggest that the conclusions of this meta-analysis are robust and are not substantially influenced by individual studies or methodological differences. Composite outcomes (IS/SE, major bleeding and all-cause death) were analyzed separately for patients with liver disease (RR: 0.60, 95% CI: 0.43&#x2013;0.85) and cirrhosis (RR: 0.68, 95% CI: 0.59&#x2013;0.77), and the results indicated that DOACs were significantly more effective than VKAs.</p>
</sec>
<sec id="s3-7">
<title>3.7 Publication bias</title>
<p>Publication bias was assessed using funnel plots for primary clinical outcomes. These plots demonstrated visual symmetry, suggesting a low likelihood of publication bias. Additionally, Egger&#x2019;s test did not indicate significant small study effects, further supporting the absence of publication bias in this meta-analysis (<xref ref-type="sec" rid="s12">Supplementary Figures S5 and S6</xref>).</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<p>For patients with deep vein thrombosis (DVT)/pulmonary embolism (PE) and liver disease or cirrhosis with portal vein thrombosis (PVT), relevant guidelines recommend DOACs to prevent thrombosis (<xref ref-type="bibr" rid="B15">European Association for the Study of the Liver, 2022</xref>; <xref ref-type="bibr" rid="B38">Northup et al., 2021</xref>). However, AF management guidelines do not provide specific recommendations for oral anticoagulants (OACs) selection in patients with liver disease (<xref ref-type="bibr" rid="B25">Joglar et al., 2023</xref>). Although high-quality RCTs are lacking, recent large-scale real-world data provide evidence supporting OACs selection. Previous meta-analyses suggest that DOACs and VKAs have comparable effectiveness in preventing thromboembolism, with DOACs associated with lower bleeding risk (<xref ref-type="bibr" rid="B8">Chen et al., 2022</xref>; <xref ref-type="bibr" rid="B60">Zhao et al., 2023</xref>; <xref ref-type="bibr" rid="B33">Li et al., 2023</xref>), but there is also a meta-analysis indicating that the IS/SE risk of DOACs is lower than that of VKAs (<xref ref-type="bibr" rid="B21">Huang et al., 2021</xref>). Therefore, the results of different meta-analyses are controversial. These earlier analyses often included small sample sizes and primarily focused on comparisons between DOACs and VKAs without exploring heterogeneity across patient subgroups. With the emergence of real-world data, updated meta-analyses are necessary to reflect broader populations and nuanced treatment considerations (<xref ref-type="bibr" rid="B14">Douros et al., 2024</xref>; <xref ref-type="bibr" rid="B50">Simon et al., 2024</xref>; <xref ref-type="bibr" rid="B30">Lawal et al., 2023</xref>). To address these research gaps, our study incorporated recent evidence and performed subgroup analyses by region and follow-up duration. We also evaluated the effectiveness and safety of different DOAC types and dosing regimens, contributing to a more refined understanding of treatment options.</p>
<p>Our findings showed that, in patients with liver disease and AF, DOACs were superior to VKAs in reducing major bleeding, intracranial bleeding, GI bleeding, and all-cause mortality. No significant differences were observed between groups in terms of IS/SE. These results are consistent with studies in patients with AF without liver disease, reinforcing the notion that DOACs offer a more favorable net clinical benefit than warfarin (<xref ref-type="bibr" rid="B6">Carnicelli et al., 2022</xref>). Most retrospective studies lack detailed clinical data on liver disease severity, including ascites, hepatic encephalopathy. And the ischemia and bleeding scores of patients with AF. Additionally, the absence of international normalized ratio (INR) data prevents assessment of the anticoagulant effect of VKAs. These limitations likely contributed to the high heterogeneity observed in the results.</p>
<p>In the United States, the use of DOACs in cirrhotic patients with AF increased substantially between 2012 and 2019 (from 18.7% to 77.6%) (<xref ref-type="bibr" rid="B49">Simon et al., 2023</xref>; <xref ref-type="bibr" rid="B40">Pereira Portela et al., 2024</xref>). This trend has outpaced the quality of available evidence, highlighting a disconnect between practice and data. In our cirrhosis subgroup analysis, the risks of major, GI, and intracranial bleeding were significantly lower with DOACs than with VKAs, whereas no significant differences were found in IS/SE or all-cause mortality. Nisly SA et al. reported no significant difference between DOACs and traditional anticoagulation in patients with cirrhosis (<xref ref-type="bibr" rid="B37">Nisly et al., 2021</xref>), while recent large-scale retrospective studies suggest that DOACs are safer. In our updated meta-analysis, DOACs demonstrated greater safety than VKAs, consistent with the findings of <xref ref-type="bibr" rid="B34">Miranda Maria et al. (2025)</xref>. Furthermore, the present study confirmed that DOACs outperform VKAs in terms of composite effectiveness and safety outcomes.</p>
<p>Ethnic and regional variations may influence both liver disease etiology and thromboembolic risk. For example, thromboembolic events are more frequent in Asian populations than in non-Asian populations (<xref ref-type="bibr" rid="B43">Romiti et al., 2023</xref>). Moreover, alcoholic liver disease and nonalcoholic fatty liver disease are more prevalent in Europe and the Americas, whereas viral hepatitis predominates in Asia (<xref ref-type="bibr" rid="B48">Shepard et al., 2005</xref>; <xref ref-type="bibr" rid="B5">Blachier et al., 2013</xref>; <xref ref-type="bibr" rid="B59">Younossi et al., 2023</xref>). Our regional subgroup analysis demonstrated that the safety profile of DOACs is consistently better than that of VKAs in North America, Asia, and Europe. However, in European patients with cirrhosis, DOACs and VKAs showed comparable effectiveness and safety, although this conclusion was based on a limited number of studies and requires further validation. DOACs are particularly effective in reducing GI bleeding in Asian patients and intracranial bleeding in American patients. Since AF patients with liver disease often require long-term anticoagulation, we also analyzed outcomes according to follow-up duration. When follow-up was &#x3c; 1&#xa0;year, GI bleeding risk was similar between the groups; however, with follow-up beyond 1&#xa0;year, DOACs significantly outperformed VKAs in reducing GI bleeding. These findings suggest that DOACs offer sustained benefits.</p>
<p>All oral anticoagulants undergo hepatic metabolism to varying extents (<xref ref-type="bibr" rid="B52">Speed et al., 2023</xref>), which raises concerns about increased drug exposure and bleeding risk in patients with liver impairment. To mitigate this, clinicians often reduce DOAC doses, although this may compromise their effectiveness. Our analysis found no significant difference in thrombotic or bleeding risks between low- and regular-dose DOACs. However, regular-dose DOACs are associated with lower all-cause mortality, suggesting a potential clinical advantage. This finding aligns with previous research (<xref ref-type="bibr" rid="B10">Chong et al., 2021</xref>; <xref ref-type="bibr" rid="B9">Cho et al., 2019</xref>), although it is important to consider that patients receiving lower doses tend to be older and have more comorbidities, which may underestimate the true benefits of standard dosing.</p>
<p>Different DOACs have demonstrated varied clinical outcomes (<xref ref-type="bibr" rid="B42">Ray et al., 2021</xref>; <xref ref-type="bibr" rid="B13">Dawwas et al., 2022</xref>). However, the optimal DOACs for patients with liver disease or cirrhosis remains unclear. Our results suggest that apixaban may be safer than rivaroxaban, with lower risks of major and GI bleeding, while both agents showed comparable risks of IS/SE, intracranial bleeding, and all-cause mortality. Based on pharmacokinetic studies, Frost et al. reported similar apixaban exposure between patients with mild-to-moderate hepatic dysfunction (Child-Pugh A/B) and healthy controls (<xref ref-type="bibr" rid="B16">Frost et al., 2021</xref>), whereas Kubitza et al. found that rivaroxaban exposure in patients with moderate hepatic impairment was more than twice that observed in patients with mild impairment or normal liver function (<xref ref-type="bibr" rid="B29">Kubitza et al., 2013</xref>). In addition, multiple studies have reported a higher risk of GI bleeding with rivaroxaban in patients with AF without liver disease (<xref ref-type="bibr" rid="B24">Ingason et al., 2021</xref>; <xref ref-type="bibr" rid="B42">Ray et al., 2021</xref>). These results suggest a lower risk of bleeding with apixaban in the clinical setting. Nonetheless, apixaban and rivaroxaban have demonstrated similar effectiveness and safety in patients with cirrhosis. This may be attributed to the higher biliary excretion of apixaban than that of rivaroxaban, resulting in greater hepatic accumulation and potential toxicity in severe liver dysfunction (<xref ref-type="bibr" rid="B14">Douros et al., 2024</xref>; <xref ref-type="bibr" rid="B19">Graff and Harder, 2013</xref>). This study updates the meta-analysis on the effectiveness and safety of DOACs in patients with liver disease and AF, offering reference for the advancement of guidelines or consensus. In addition, our results provide accurate suggestions for clinical administration in DOACs selection. Future research should prioritize personalized anticoagulation strategies based on liver disease severity, bleeding/thrombosis risk, and drug interactions. Further investigation into other DOACs, such as dabigatran and edoxaban, is also needed. Multi-center RCTs are essential to strengthen the current evidence base.</p>
<p>Our study has several limitations. First, most of the included studies were observational, RCTs are required to confirm these findings. Second, despite the use of multivariable adjustment methods, residual confounding factors cannot be ruled out. Notably, data on concomitant antiplatelet therapy, such as aspirin or P2Y12 inhibitors, which could influence bleeding risk, are often unavailable. Third, the severity of liver disease (e.g., Child&#x2013;Turcotte&#x2013;Pugh classification) has not been consistently reported, limiting stratified analyses. Fourth, adherence to long-term anticoagulant therapy and attainment of INR targets with VKA treatment could not be assessed in most studies (e.g., Time in Therapeutic Range (TTR) for patients treated with VKAs). Fifth, due to the limitation of the included literature, some secondary outcomes, including readmission risk, were not assessed. Finally, due to limited data, we were unable to evaluate dabigatran or edoxaban, and comparisons among DOACs were restricted to apixaban and rivaroxaban.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>5 Conclusion</title>
<p>In patients with liver disease, DOACs were as effective as VKAs and demonstrated superior safety, including those with cirrhosis. DOACs consistently showed better outcomes across regions, except in European patients with cirrhosis, in whom no difference was observed. A longer follow-up was associated with a reduced risk of GI bleeding with DOACs. Although thrombotic and bleeding risks were similar between dosing regimens, Regular-dose DOACs reduced all-cause mortality. Apixaban has a better safety profile than rivaroxaban in liver disease, supporting its preferential use in individualized anticoagulation strategies. However, there was no difference in the effectiveness and safety of rivaroxaban and apixaban in patients with cirrhosis.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s12">Supplementary Material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>QZ: Software, Writing &#x2013; original draft, Funding acquisition, Investigation, Formal Analysis, Methodology, Data curation, Conceptualization. XL: Investigation, Conceptualization, Methodology, Software, Data curation, Formal Analysis, Writing &#x2013; original draft. SL: Data curation, Methodology, Resources, Writing &#x2013; review and editing, Supervision. ZG: Visualization, Methodology, Supervision, Writing &#x2013; review and editing, Resources. YW: Project administration, Validation, Supervision, Writing &#x2013; review and editing. YY: Formal Analysis, Data curation, Writing &#x2013; original draft. YT: Formal Analysis, Writing &#x2013; original draft, Data curation. MW: Funding acquisition, Writing &#x2013; original draft, Project administration, Formal Analysis, Supervision, Data curation, Writing &#x2013; review and editing, Methodology.</p>
</sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. Supported by the National Natural Science Foundation of China [No 82104303], and Project of Invigorating Health Care through Science, Technology and Education, Jiangsu Provincial Key Medical Discipline Cultivation Unit [No JSDW202250].</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s10">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="s12">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fphar.2025.1620394/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2025.1620394/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Supplementaryfile1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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