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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nutr.</journal-id>
<journal-title>Frontiers in Nutrition</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nutr.</abbrev-journal-title>
<issn pub-type="epub">2296-861X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnut.2023.1342100</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Nutrition</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Correlation between sarcopenia and cirrhosis: a meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Cui</surname> <given-names>Yifan</given-names></name><xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2583402/overview"/>
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<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Zhang</surname> <given-names>Mingming</given-names></name><xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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</contrib>
<contrib contrib-type="author"><name><surname>Guo</surname> <given-names>Jing</given-names></name><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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</contrib>
<contrib contrib-type="author"><name><surname>Jin</surname> <given-names>Jin</given-names></name><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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<contrib contrib-type="author"><name><surname>Wang</surname> <given-names>Haijiao</given-names></name><role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Wang</surname> <given-names>Xinran</given-names></name><xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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</contrib-group>
<aff><institution>General Surgery Department, Xuanwu Hospital Capital Medical University</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0002">
<p>Edited by: Norma Marroni, Federal University of Rio Grande do Sul, Brazil</p>
</fn>
<fn fn-type="edited-by" id="fn0003">
<p>Reviewed by: Elizangela Schemitt, Clinical Hospital of Porto Alegre, Brazil; Xuejin Gao, Nanjing University, China</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Xinran Wang, <email>xwsicu2011@163.com</email></corresp>
<fn fn-type="equal" id="fn0001">
<p><sup>&#x2020;</sup>These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>10</day>
<month>01</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1342100</elocation-id>
<history>
<date date-type="received">
<day>21</day>
<month>11</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>12</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Cui, Zhang, Guo, Jin, Wang and Wang.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Cui, Zhang, Guo, Jin, Wang and Wang</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 id="sec1">
<title>Background</title>
<p>The relationship between sarcopenia and cirrhosis is unclear. In this research, our aim is to evaluate the prevalence of sarcopenia among individuals with liver cirrhosis and its correlation with survival and mortality risks.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>We conducted searches on PubMed, Web of Science, EMBASE, and Cochrane for English articles published up to July 10, 2023, and additionally manually searched the bibliography of relevant articles. We incorporated research on sarcopenia in patients with cirrhosis to examine the connection between sarcopenia and the likelihood of survival and mortality. Statistical analyses were carried out utilizing the Stata version 15.1 software. Depending on the heterogeneity of the results, we employed either fixed-effects models or random-effects models for data synthesis. To assess publication bias, we employed funnel plots and conducted Egger&#x2019;s test.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>We included 40 studies involving 8,945 patients with cirrhosis. The overall prevalence of cirrhosis was 41% (95% CI 34%&#x2013;48%). Male patients and those with liver cirrhosis and hepatic encephalopathy had a higher prevalence of sarcopenia (44% for male patients and 48% for hepatic encephalopathy patients). Sarcopenia emerged as a risk factor for both survival (HR&#x2009;=&#x2009;2.57, 95% CI 2.02&#x2013;3.27, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) and mortality (HR&#x2009;=&#x2009;2.13, 95% CI 1.86&#x2013;2.44, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) in patients with cirrhosis. Subgroup analyses consistently yielded the same results for study sites, whether HCC patients were excluded from the cohort, whether patients were from the liver transplant cohort or had undergone tips surgery, the definition of sarcopenia (L3-SMI or other methods), and the diagnostic criteria used by patients. The presence of sarcopenia was also a significant risk factor for hepatic encephalopathy [HR&#x2009;=&#x2009;2.27, 95% CI (1.76&#x2013;2.94), <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001].</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>This systematic review and meta-analysis reveal that patients with cirrhosis have a prevalence of sarcopenia of 41% and is associated with survival rate and mortality rate. Therefore, we should attach importance to the screening of sarcopenia in patients with cirrhosis, early detection of susceptible populations, and appropriate measures to reduce the occurrence and adverse outcomes.</p>
<p><bold>Systematic review registration:</bold><ext-link xlink:href="https://www.crd.york.ac.uk/PROSPERO/#recordDetails" ext-link-type="uri">https://www.crd.york.ac.uk/PROSPERO/#recordDetails</ext-link>.</p>
</sec>
</abstract>
<kwd-group>
<kwd>sarcopenia</kwd>
<kwd>cirrhosis</kwd>
<kwd>hepatic encephalopathy</kwd>
<kwd>survival rate</kwd>
<kwd>mortality</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="66"/>
<page-count count="12"/>
<word-count count="8047"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Clinical Nutrition</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5"><label>1</label>
<title>Introduction</title>
<p>Cirrhosis is the advanced stage of chronic liver diseases and is mainly attributed to hepatitis B or C virus infection, alcohol consumption, non-alcoholic fatty liver disease, and autoimmune diseases (<xref ref-type="bibr" rid="ref1">1</xref>). This disease has resulted in more than 1.3 million deaths, making it one of the leading global causes of mortality (<xref ref-type="bibr" rid="ref2">2</xref>). With disease progression, many complications follow, including ascites, variceal bleeding, and hepatic encephalopathy (HE), which considerably affect the prognosis of patients with cirrhosis (<xref ref-type="bibr" rid="ref3">3</xref>). HE is defined as a spectrum of nonspecific neurological or psychiatric abnormalities ranging from subclinical alterations to coma. It is typically induced by liver failure and/or portal vein-systemic shunting. As one of the primary complications of late-stage cirrhosis, HE has an incidence rate of about 20% to 80% (<xref ref-type="bibr" rid="ref4">4</xref>). In patients with cirrhosis, elevated ammonia concentrations, brain edema, and increased intracranial pressure can contribute to varying degrees of HE (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref6">6</xref>). HE is associated with a poor prognosis, often necessitating frequent hospitalization, imposing socio-economic and psychological burdens on patients and their families, and ultimately reducing the overall survival rate (<xref ref-type="bibr" rid="ref7">7</xref>). Therefore, it is pressingly urgent to find more risk factors for cirrhosis.</p>
<p>Sarcopenia is a prevalent concern in individuals diagnosed with liver cirrhosis (<xref ref-type="bibr" rid="ref8">8</xref>). Characterized by the decline in muscle mass, strength, and physical performance (<xref ref-type="bibr" rid="ref9">9</xref>), sarcopenia has been detected in 14% to 55% of cirrhosis patients, prompting growing interest among researchers (<xref ref-type="bibr" rid="ref10">10</xref>). The liver holds a central position in nutrient metabolism, and the diminishment of liver functional reserves can result in a range of complications, including malnutrition and the development of sarcopenia (<xref ref-type="bibr" rid="ref11">11</xref>). Previous studies have revealed that sarcopenia in cirrhosis patients may be attributed to liver metabolic dysfunction, reduced appetite, increased muscle autophagy, elevated serum myostatin levels, catabolic effects of systemic inflammation induced by intestinal bacterial translocation, and low testosterone levels (<xref ref-type="bibr" rid="ref10">10</xref>). Sarcopenia in cirrhosis patients is associated with a grim prognosis (<xref ref-type="bibr" rid="ref12">12</xref>), such as reduced quality of life, elevated hepatic venous pressure gradients, complications related to portal hypertension (such as ascites and upper gastrointestinal varices), infections (including urinary tract infections and spontaneous peritonitis) and HE (<xref ref-type="bibr" rid="ref10">10</xref>). Reduced extrahepatic ammonia clearance in patients with sarcopenia may contribute to HE to some extent (<xref ref-type="bibr" rid="ref13">13</xref>).</p>
<p>It has been demonstrated that sarcopenia affects both hepatic encephalopathy and mortality in cirrhosis patients (<xref ref-type="bibr" rid="ref13">13</xref>), and the decline in muscle mass in cirrhosis patients for more than a year also carries unfavorable prognostic implications (<xref ref-type="bibr" rid="ref14">14</xref>). A meta-analysis of 22 studies has confirmed that sarcopenia is an independent predictor of increased mortality in cirrhosis patients (<xref ref-type="bibr" rid="ref15">15</xref>). The progressive and systemic loss of skeletal muscle mass and strength in patients with sarcopenia also indicates, to some extent, the poor prognosis of LC patients (<xref ref-type="bibr" rid="ref16">16</xref>). Therefore, we have embarked on an up-to-date and more exhaustive meta-analysis to comprehensively investigate the consequences of sarcopenia in individuals with cirrhosis. We aim to appraise the survival rates and mortality rates in cirrhotic patients with sarcopenia. The secondary objectives include appraising the prevalence of sarcopenia in cirrhotic patients and examining the impact of sarcopenia on LC and HE.</p>
</sec>
<sec sec-type="methods" id="sec6"><label>2</label>
<title>Methods</title>
<p>This meta-analysis followed the updated PRISMA (2020) and MOOSE guidelines (<xref ref-type="bibr" rid="ref17 ref18 ref19">17&#x2013;19</xref>), and the study protocol was registered with PROSPERO (CRD42023458935).</p>
<sec id="sec7"><label>2.1</label>
<title>Search strategy</title>
<p>We conducted a comprehensive search on PubMed, Embase, Cochrane, and Web of Science, spanning from the inception of these databases to July 10, 2023, with the language limited English. The combination of medical subject heading (MeSH) terms and their free-form words was used as the search strategy, such as sarcopenia [MeSH Terms] AND liver cirrhosis [MeSH Terms] OR hepatic encephalopathy [MeSH Terms]. <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref> provides detailed search strategies for all the included databases. We restricted our search to studies involving human subjects to maintain relevance. In our pursuit of thoroughness, we expanded our search efforts to include conference abstracts from major events such as the 2019&#x2013;2020 American Association for the Study of Liver Diseases (AASLD), European Association for the Study of the Liver (EASL), Asia-Pacific Association for the Study of the Liver (APASL), Digestive Disease Week (DDW), and Asian Pacific Digestive Week (APDW) in the hopes of identifying additional research. Lastly, we conducted a manual examination of the reference lists of the studies included in our analysis and relevant systematic reviews and meta-analyses to identify any potential studies that may have been missed through our initial searches.</p>
</sec>
<sec id="sec8"><label>2.2</label>
<title>Inclusion and exclusion criteria</title>
<p>The research explored the association between sarcopenia and liver cirrhosis or liver cirrhosis accompanied by hepatic encephalopathy.</p>
<p>Study eligibility criteria were based on the following PICO format: P (population): people with sarcopenia and cirrhosis (patients with or without hepatic encephalopathy were recorded separately); I (intervention/predictors): NA; C (comparator): people without sarcopenia; O (outcome): correlation between sarcopenia and cirrhosis (i.e., prevalence of sarcopenia, risk of survival and death, impact of myasthenia gravis and hepatic encephalopathy); S (study design): Observational studies (i.e., longitudinal, cross-sectional, and case control studies).</p>
<p>The studies were excluded for the following reasons: (1) comments, editorials, letters, posters, case reports, reviews, meta-analyses, conference abstracts, guidelines, and animal experiments; (2) no clear diagnostic criteria for cirrhosis and/or sarcopenia; (3) without enough data or unavailability of full-texts; (4) not published in English.</p>
</sec>
<sec id="sec9"><label>2.3</label>
<title>Literature screening</title>
<p>The titles and abstracts were screened independently using a pre-planned list of inclusion and exclusion criteria. Information such as varying criteria for defining sarcopenia, the general health status of patients, country of origin, recruitment background (hospital or nursing home), or research environment (cohort or cross-section) was not excluded. Following the inclusion criteria, we included studies that involved the population diagnosed with liver cirrhosis (LC) and provided some original data related to sarcopenia (prevalence rate, survival rate, mortality rate, etc.). Further meta-analyses were performed with patients stratified by the presence or absence of hepatocellular carcinoma as a covariate.</p>
</sec>
<sec id="sec10"><label>2.4</label>
<title>Quality evaluation</title>
<p>The quality of the included studies was assessed using the modified Newcastle&#x2013;Ottawa scale (<xref ref-type="bibr" rid="ref20">20</xref>). The scale consists of three sections with eight entries, which are as follows: (1) representativeness of the exposed cohort; (2) selection of the non-exposed cohort; (3) identification of exposure; (4) demonstration that no results of interest were found at the start of the study; (5) comparability of the cohorts based on design or analysis results controlled for confounders; (6) evaluation of results; (7) follow-up of sufficient duration to obtain results; and (8) appropriateness of follow-up to the population. The total score is 9 stars. Each study was independently assessed by two authors, and studies with NOS scores &#x2265;6 were considered of high quality. Any disputed articles were referred to a third researcher, XW, for discussion and resolution of any disagreements.</p>
</sec>
<sec id="sec11"><label>2.5</label>
<title>Data extraction</title>
<p>We compiled data from each of the included studies utilizing a standardized table. The subsequent details were independently extracted by two assessors, YC and MZ: the primary author&#x2019;s name, publication year, study design, research location, the origin of the cirrhosis cohort (transplant waiting list or general population), the definition of sarcopenia, the methodology employed for muscle mass measurement, the number of participants, patient demographics, and clinical characteristics, including age, gender, cirrhosis etiology, hepatocellular carcinoma (HCC) presence, and pertinent outcome measures such as sarcopenia incidence, survival rate, and mortality in cirrhosis patients. When the required data were not readily accessible, we made contact with the authors to secure the essential study information.</p>
</sec>
<sec id="sec12"><label>2.6</label>
<title>Statistical analysis</title>
<p>We conducted the statistical analysis using Stata version 15.1. The forest plot illustrates the overall effect of the analysis. Heterogeneity among the studies was assessed using <italic>I</italic><sup>2</sup>. In general, <italic>I</italic><sup>2</sup> &#x2265;&#x2009;50% indicated significant heterogeneity among the studies, leading us to adopt a random-effects model. We analyzed the source of heterogeneity through sensitivity analysis (one-by-one exclusion method). Additionally, pre-planned subgroup analyses were performed based on gender, age, etiology of cirrhosis, and study site. We employed meta-regression to determine the effects of sample size, mean age of participants, proportion of males, proportion of patients with alcohol-related liver disease, viral hepatitis, and the presence or absence of hepatocellular carcinoma (HCC) on the adjusted pooled hazard ratios (HR) for survival rate and mortality. Conversely, <italic>I</italic><sup>2</sup>&#x2009;&#x003C;&#x2009;50% was considered indicative of small heterogeneity across studies. We used funnel plots and Egger&#x2019;s tests (<xref ref-type="bibr" rid="ref21">21</xref>) to examine the possibility of publication bias. A <italic>p</italic>-value &#x003C;0.05 (two-tailed test) was considered statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="sec13"><label>3</label>
<title>Results</title>
<sec id="sec14"><label>3.1</label>
<title>Literature screening process and results</title>
<p>Out of the 15,895 articles initially identified, we excluded 3,257 duplications and 4,339 articles classified as reviews, guidelines, letters, and animal experiments. An additional 8,199 papers were excluded based on a preliminary review of titles and abstracts. After carefully reviewing the full texts of the remaining 138 articles, we included 40 cohort studies with data from 8,945 patients (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<fig position="float" id="fig1"><label>Figure 1</label>
<caption>
<p>Literature screening flow chart.</p>
</caption>
<graphic xlink:href="fnut-10-1342100-g001.tif"/>
</fig>
</sec>
<sec id="sec15"><label>3.2</label>
<title>Basic characteristics of the included literature</title>
<p><xref ref-type="table" rid="tab1">Table 1</xref> summarizes the characteristics of all the studies encompassed in this meta-analysis. Out of the 40 studies, 18 were conducted in Asian regions (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref22 ref23 ref24">22&#x2013;24</xref>, <xref ref-type="bibr" rid="ref26">26</xref>, <xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref35">35</xref>, <xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref38">38</xref>, <xref ref-type="bibr" rid="ref40">40</xref>, <xref ref-type="bibr" rid="ref44">44</xref>, <xref ref-type="bibr" rid="ref45">45</xref>, <xref ref-type="bibr" rid="ref48">48</xref>, <xref ref-type="bibr" rid="ref50">50</xref>, <xref ref-type="bibr" rid="ref53">53</xref>, <xref ref-type="bibr" rid="ref55">55</xref>, <xref ref-type="bibr" rid="ref59">59</xref>), and the remaining 22 studies were from non-Asian regions (<xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref25">25</xref>, <xref ref-type="bibr" rid="ref27">27</xref>, <xref ref-type="bibr" rid="ref28">28</xref>, <xref ref-type="bibr" rid="ref30 ref31 ref32">30&#x2013;32</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref39">39</xref>, <xref ref-type="bibr" rid="ref41 ref42 ref43">41&#x2013;43</xref>, <xref ref-type="bibr" rid="ref46">46</xref>, <xref ref-type="bibr" rid="ref47">47</xref>, <xref ref-type="bibr" rid="ref49">49</xref>, <xref ref-type="bibr" rid="ref51">51</xref>, <xref ref-type="bibr" rid="ref52">52</xref>, <xref ref-type="bibr" rid="ref54">54</xref>, <xref ref-type="bibr" rid="ref56 ref57 ref58">56&#x2013;58</xref>). Among these 40 studies, 37 were cohort studies, 2 were cross-sectional studies (<xref ref-type="bibr" rid="ref43">43</xref>, <xref ref-type="bibr" rid="ref57">57</xref>), and 1 was a case-control study (<xref ref-type="bibr" rid="ref35">35</xref>). Specifically, 19 were retrospective cohort studies, and 18 were prospective cohort studies (<xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref27">27</xref>, <xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref32">32</xref>, <xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref38 ref39 ref40 ref41">38&#x2013;41</xref>, <xref ref-type="bibr" rid="ref49 ref50 ref51 ref52 ref53 ref54 ref55 ref56 ref57">49&#x2013;57</xref>). The sample sizes in the included studies varied, ranging from 52 to 675 participants. In these studies, the mean age of patients ranged from 51 to 73&#x2009;years. Notably, 24 studies (<xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref22 ref23 ref24">22&#x2013;24</xref>, <xref ref-type="bibr" rid="ref27 ref28 ref29">27&#x2013;29</xref>, <xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref33 ref34 ref35">33&#x2013;35</xref>, <xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref38">38</xref>, <xref ref-type="bibr" rid="ref42">42</xref>, <xref ref-type="bibr" rid="ref44">44</xref>, <xref ref-type="bibr" rid="ref45">45</xref>, <xref ref-type="bibr" rid="ref48">48</xref>, <xref ref-type="bibr" rid="ref55">55</xref>, <xref ref-type="bibr" rid="ref57">57</xref>, <xref ref-type="bibr" rid="ref59">59</xref>) excluded all patients with hepatocellular carcinomas (HCC), while in 10 studies (<xref ref-type="bibr" rid="ref28">28</xref>, <xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref39">39</xref>, <xref ref-type="bibr" rid="ref46">46</xref>, <xref ref-type="bibr" rid="ref47">47</xref>, <xref ref-type="bibr" rid="ref49">49</xref>, <xref ref-type="bibr" rid="ref54">54</xref>, <xref ref-type="bibr" rid="ref55">55</xref>, <xref ref-type="bibr" rid="ref57">57</xref>), a proportion of patients ranging from 19 to 100% had HCC. Additionally, 8 studies (<xref ref-type="bibr" rid="ref26">26</xref>, <xref ref-type="bibr" rid="ref39">39</xref>, <xref ref-type="bibr" rid="ref43">43</xref>, <xref ref-type="bibr" rid="ref46">46</xref>, <xref ref-type="bibr" rid="ref52">52</xref>, <xref ref-type="bibr" rid="ref54">54</xref>) neither explicitly excluded HCC patients nor reported the prevalence of HCC.</p>
<table-wrap position="float" id="tab1"><label>Table 1</label>
<caption>
<p>Basic characteristics of included studies.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Author (year)</th>
<th align="left" valign="top">Study design</th>
<th align="left" valign="top">Country</th>
<th align="left" valign="top">Source of the sample</th>
<th align="left" valign="top">Definition of sarcopenia</th>
<th align="left" valign="top">Measure muscle mass</th>
<th align="center" valign="top">Sample size</th>
<th align="center" valign="top">Age (years)</th>
<th align="center" valign="top">Male (%)</th>
<th align="center" valign="top">HCC</th>
<th align="center" valign="top">ALD <italic>N</italic> (%)</th>
<th align="center" valign="top">Viral hepatitis <italic>N</italic> (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Yin et al. 2023 (<xref ref-type="bibr" rid="ref22">22</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">China</td>
<td align="left" valign="top">Patients underwent the TIPS</td>
<td align="left" valign="top">Others</td>
<td align="left" valign="top">CT scan/L3 TPMT</td>
<td align="center" valign="top">108</td>
<td align="center" valign="top">53.0&#x2009;&#x00B1;&#x2009;10.8</td>
<td align="center" valign="top">78</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">74 (69)</td>
</tr>
<tr>
<td align="left" valign="top">Saeki et al. 2023 (<xref ref-type="bibr" rid="ref23">23</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Japan</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">JSH</td>
<td align="left" valign="top">BIA/SMI</td>
<td align="center" valign="top">104</td>
<td align="center" valign="top">72.8&#x2009;&#x00B1;&#x2009;3.2</td>
<td align="center" valign="top">56</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">66 (64)</td>
</tr>
<tr>
<td align="left" valign="top">Saeki et al. 2021 (<xref ref-type="bibr" rid="ref23">23</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Japan</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">JSH</td>
<td align="left" valign="top">BIA/SMI</td>
<td align="center" valign="top">126</td>
<td align="center" valign="top">70.2&#x2009;&#x00B1;&#x2009;3.5</td>
<td align="center" valign="top">61</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">47 (37)</td>
<td align="center" valign="top">49 (39)</td>
</tr>
<tr>
<td align="left" valign="top">Hanai et al. 2023 (<xref ref-type="bibr" rid="ref24">24</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Japan</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">JSH</td>
<td align="left" valign="top">CT scan/L3 SMI</td>
<td align="center" valign="top">239</td>
<td align="center" valign="top">67.9&#x2009;&#x00B1;&#x2009;3.2</td>
<td align="center" valign="top">52</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">60 (25)</td>
<td align="center" valign="top">85 (36)</td>
</tr>
<tr>
<td align="left" valign="top">Dajti et al. 2023 (<xref ref-type="bibr" rid="ref25">25</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Italy</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">EASL</td>
<td align="left" valign="top">CT scan/L3 SMI</td>
<td align="center" valign="top">209</td>
<td align="center" valign="top">64.2&#x2009;&#x00B1;&#x2009;3.5</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">40 (19)</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">121 (58)</td>
</tr>
<tr>
<td align="left" valign="top">Nardelli et al. 2022 (<xref ref-type="bibr" rid="ref13">13</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Italy</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">EASL</td>
<td align="left" valign="top">CT scan/L3 SMI</td>
<td align="center" valign="top">114</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">68</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">9 (8)</td>
<td align="center" valign="top">7 (6)</td>
</tr>
<tr>
<td align="left" valign="top">Kumar et al. 2022 (<xref ref-type="bibr" rid="ref26">26</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">India</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">Others</td>
<td align="left" valign="top">CT scan L3 PMI</td>
<td align="center" valign="top">74</td>
<td align="center" valign="top">51</td>
<td align="center" valign="top">96</td>
<td align="center" valign="top">Y</td>
<td align="center" valign="top">7 (10)</td>
<td align="center" valign="top">10 (14)</td>
</tr>
<tr>
<td align="left" valign="top">Kim et al. 2022 (<xref ref-type="bibr" rid="ref14">14</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Korea</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">AASLD</td>
<td align="left" valign="top">CT scan/L3 SMI</td>
<td align="center" valign="top">595</td>
<td align="center" valign="top">55.4&#x2009;&#x00B1;&#x2009;7.9</td>
<td align="center" valign="top">64</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">99 (21)</td>
<td align="center" valign="top">319 (54)</td>
</tr>
<tr>
<td align="left" valign="top">Iacob et al. 2022 (<xref ref-type="bibr" rid="ref27">27</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Romania</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">EWGSOP2</td>
<td align="left" valign="top">CT scan/L3 SMI</td>
<td align="center" valign="top">71</td>
<td align="center" valign="top">54.5&#x2009;&#x00B1;&#x2009;12.6</td>
<td align="center" valign="top">68</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">23 (32)</td>
<td align="center" valign="top">42 (59)</td>
</tr>
<tr>
<td align="left" valign="top">Hentschel et al. 2022 (<xref ref-type="bibr" rid="ref28">28</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Germany</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">FLEXIT</td>
<td align="left" valign="top">CT scan/L3 PMI</td>
<td align="center" valign="top">65</td>
<td align="center" valign="top">60.4&#x2009;&#x00B1;&#x2009;12.8</td>
<td align="center" valign="top">65</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">30 (46)</td>
<td align="center" valign="top">3 (5)</td>
</tr>
<tr>
<td align="left" valign="top">Zeng et al. 2021 (<xref ref-type="bibr" rid="ref29">29</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">China</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">Others</td>
<td align="left" valign="top">CT scan/L3 SMI</td>
<td align="center" valign="top">480</td>
<td align="center" valign="top">54</td>
<td align="center" valign="top">60</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">60 (20)</td>
<td align="center" valign="top">153 (32)</td>
</tr>
<tr>
<td align="left" valign="top">Topan et al. 2021 (<xref ref-type="bibr" rid="ref30">30</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Romania</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">EWGSOP2</td>
<td align="left" valign="top">CT scan/L3 SMI</td>
<td align="center" valign="top">201</td>
<td align="center" valign="top">61.7&#x2009;&#x00B1;&#x2009;9.5</td>
<td align="center" valign="top">63</td>
<td align="center" valign="top">65 (32)</td>
<td align="center" valign="top">111 (55)</td>
<td align="center" valign="top">68 (34)</td>
</tr>
<tr>
<td align="left" valign="top">Paternostro et al. 2021 (<xref ref-type="bibr" rid="ref31">31</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Austria</td>
<td align="left" valign="top">Patients underwent HVPG-measurement</td>
<td align="left" valign="top">Others</td>
<td align="left" valign="top">CT scan or MRI/L3 TPMT</td>
<td align="center" valign="top">203</td>
<td align="center" valign="top">55&#x2009;&#x00B1;&#x2009;11</td>
<td align="center" valign="top">68</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">110 (54)</td>
<td align="center" valign="top">50 (25)</td>
</tr>
<tr>
<td align="left" valign="top">Miarka et al. 2021 (<xref ref-type="bibr" rid="ref32">32</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Poland</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">EWGSOP</td>
<td align="left" valign="top">CT scan/L3 SMI</td>
<td align="center" valign="top">98</td>
<td align="center" valign="top">55&#x2009;&#x00B1;&#x2009;8</td>
<td align="center" valign="top">77</td>
<td align="center" valign="top">26 (27)</td>
<td align="center" valign="top">50 (51)</td>
<td align="center" valign="top">37 (38)</td>
</tr>
<tr>
<td align="left" valign="top">Kikuchi et al. 2021 (<xref ref-type="bibr" rid="ref33">33</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Japan</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">JSH</td>
<td align="left" valign="top">CT scan/L3 SMI</td>
<td align="center" valign="top">300</td>
<td align="center" valign="top">69.1&#x2009;&#x00B1;&#x2009;11.3</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">74 (27)</td>
<td align="center" valign="top">152 (51)</td>
</tr>
<tr>
<td align="left" valign="top">Welch et al. 2020 (<xref ref-type="bibr" rid="ref34">34</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Ohio</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">Others</td>
<td align="left" valign="top">CT scan/L3 SMA</td>
<td align="center" valign="top">83</td>
<td align="center" valign="top">52.7&#x2009;&#x00B1;&#x2009;9.5</td>
<td align="center" valign="top">71</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">N</td>
</tr>
<tr>
<td align="left" valign="top">Tateyama et al. 2020 (<xref ref-type="bibr" rid="ref35">35</xref>)</td>
<td align="left" valign="top">Case control</td>
<td align="left" valign="top">Japan</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">JSH</td>
<td align="left" valign="top">CT scan/L3 SMI</td>
<td align="center" valign="top">99</td>
<td align="center" valign="top">69.5&#x2009;&#x00B1;&#x2009;9.6</td>
<td align="center" valign="top">61</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">39 (39)</td>
<td align="center" valign="top">70 (71)</td>
</tr>
<tr>
<td align="left" valign="top">Mauro et al. 2020 (<xref ref-type="bibr" rid="ref36">36</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Argentina</td>
<td align="left" valign="top">Listed for LT (before LT)</td>
<td align="left" valign="top">EWGSOP2</td>
<td align="left" valign="top">CT scan or MRI/L3 SMI</td>
<td align="center" valign="top">180</td>
<td align="center" valign="top">58.9&#x2009;&#x00B1;&#x2009;2.2</td>
<td align="center" valign="top">60</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">50 (28)</td>
<td align="center" valign="top">47 (26)</td>
</tr>
<tr>
<td align="left" valign="top">Feng et al. 2020 (<xref ref-type="bibr" rid="ref37">37</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">China</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">EWGSOP2</td>
<td align="left" valign="top">CT scan/L3 SMI</td>
<td align="center" valign="top">492</td>
<td align="center" valign="top">51.1&#x2009;&#x00B1;&#x2009;2.7</td>
<td align="center" valign="top">74</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">60 (12)</td>
<td align="center" valign="top">333 (68)</td>
</tr>
<tr>
<td align="left" valign="top">Sung et al. 2019 (<xref ref-type="bibr" rid="ref38">38</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Japan</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">JSH</td>
<td align="left" valign="top">CT scan/L3 SMI</td>
<td align="center" valign="top">166</td>
<td align="center" valign="top">68.0&#x2009;&#x00B1;&#x2009;8.2</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">50 (30)</td>
<td align="center" valign="top">85 (51)</td>
</tr>
<tr>
<td align="left" valign="top">Praktiknjo et al. 2019 (<xref ref-type="bibr" rid="ref39">39</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Germany</td>
<td align="left" valign="top">Patients underwent the TIPS</td>
<td align="left" valign="top">Others</td>
<td align="left" valign="top">CT scan/ umbilicus-TPMT</td>
<td align="center" valign="top">186</td>
<td align="center" valign="top">55.5&#x2009;&#x00B1;&#x2009;11.4</td>
<td align="center" valign="top">59</td>
<td align="center" valign="top">Y</td>
<td align="center" valign="top">129 (77)</td>
<td align="center" valign="top">24 (13)</td>
</tr>
<tr>
<td align="left" valign="top">Ando et al. 2019 (<xref ref-type="bibr" rid="ref40">40</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Japan</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">JSH</td>
<td align="left" valign="top">CT scan/L3 SMI</td>
<td align="center" valign="top">88</td>
<td align="center" valign="top">67.3&#x2009;&#x00B1;&#x2009;9.8</td>
<td align="center" valign="top">56</td>
<td align="center" valign="top">45 (51)</td>
<td align="center" valign="top">21 (24)</td>
<td align="center" valign="top">39 (44)</td>
</tr>
<tr>
<td align="left" valign="top">van Vugt et al. 2018 (<xref ref-type="bibr" rid="ref41">41</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Netherlands</td>
<td align="left" valign="top">Listed for LT (before LT)</td>
<td align="left" valign="top">Others</td>
<td align="left" valign="top">CT scan/L3 SMI</td>
<td align="center" valign="top">585</td>
<td align="center" valign="top">56.0&#x2009;&#x00B1;&#x2009;2.3</td>
<td align="center" valign="top">69</td>
<td align="center" valign="top">193 (33)</td>
<td align="center" valign="top">91 (16)</td>
<td align="center" valign="top">52 (9)</td>
</tr>
<tr>
<td align="left" valign="top">Praktiknjo et al. 2018 (<xref ref-type="bibr" rid="ref42">42</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Germany</td>
<td align="left" valign="top">Patients underwent the tips</td>
<td align="left" valign="top">Others</td>
<td align="left" valign="top">MRI/FFMA</td>
<td align="center" valign="top">116</td>
<td align="center" valign="top">57.9&#x2009;&#x00B1;&#x2009;12.0</td>
<td align="center" valign="top">59</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">73 (63)</td>
<td align="center" valign="top">18 (16)</td>
</tr>
<tr>
<td align="left" valign="top">Moctezuma-Velazquez et al. 2018 (<xref ref-type="bibr" rid="ref43">43</xref>)</td>
<td align="left" valign="top">Cross-sectional</td>
<td align="left" valign="top">Canada</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">Others</td>
<td align="left" valign="top">CT scan/L3 SMI</td>
<td align="center" valign="top">210</td>
<td align="center" valign="top">57&#x2009;&#x00B1;&#x2009;1</td>
<td align="center" valign="top">61</td>
<td align="center" valign="top">Y</td>
<td align="center" valign="top">54 (26)</td>
<td align="center" valign="top">74 (35)</td>
</tr>
<tr>
<td align="left" valign="top">Kang et al. 2018 (<xref ref-type="bibr" rid="ref44">44</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Korea</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">Others</td>
<td align="left" valign="top">CT scan/L3 SMI</td>
<td align="center" valign="top">452</td>
<td align="center" valign="top">51.8&#x2009;&#x00B1;&#x2009;8.8</td>
<td align="center" valign="top">84</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">313 (69)</td>
<td align="center" valign="top">120 (27)</td>
</tr>
<tr>
<td align="left" valign="top">Jeong et al. 2018 (<xref ref-type="bibr" rid="ref45">45</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Korea</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">Others</td>
<td align="left" valign="top">CT scan/L3 SMA</td>
<td align="center" valign="top">131</td>
<td align="center" valign="top">53.7&#x2009;&#x00B1;&#x2009;9.6</td>
<td align="center" valign="top">72</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">91 (70)</td>
<td align="center" valign="top">31 (24)</td>
</tr>
<tr>
<td align="left" valign="top">Bhanji et al. 2018 (<xref ref-type="bibr" rid="ref46">46</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Canada</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">Others</td>
<td align="left" valign="top">CT scan/L3 SMI</td>
<td align="center" valign="top">675</td>
<td align="center" valign="top">57&#x2009;&#x00B1;&#x2009;1</td>
<td align="center" valign="top">67</td>
<td align="center" valign="top">Y</td>
<td align="center" valign="top">152 (22)</td>
<td align="center" valign="top">267 (40)</td>
</tr>
<tr>
<td align="left" valign="top">Begini et al. 2017 (<xref ref-type="bibr" rid="ref47">47</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Italy</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">Others</td>
<td align="left" valign="top">CT scan/L3 SMI</td>
<td align="center" valign="top">92</td>
<td align="center" valign="top">70.1&#x2009;&#x00B1;&#x2009;11.3</td>
<td align="center" valign="top">71</td>
<td align="center" valign="top">92 (100)</td>
<td align="center" valign="top">22 (24)</td>
<td align="center" valign="top">51 (42)</td>
</tr>
<tr>
<td align="left" valign="top">Hanai et al. 2016 (<xref ref-type="bibr" rid="ref48">48</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Japan</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">Others</td>
<td align="left" valign="top">CT scan/L3 SMI</td>
<td align="center" valign="top">149</td>
<td align="center" valign="top">64.4&#x2009;&#x00B1;&#x2009;11.4</td>
<td align="center" valign="top">55</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">34 (23)</td>
<td align="center" valign="top">89 (60)</td>
</tr>
<tr>
<td align="left" valign="top">Montano-Loza et al. 2015 (<xref ref-type="bibr" rid="ref49">49</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Canada</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">Others</td>
<td align="left" valign="top">CT scan/L3 SMI</td>
<td align="center" valign="top">669</td>
<td align="center" valign="top">57&#x2009;&#x00B1;&#x2009;0.5</td>
<td align="center" valign="top">68</td>
<td align="center" valign="top">289 (43)</td>
<td align="center" valign="top">153 (23)</td>
<td align="center" valign="top">308 (46)</td>
</tr>
<tr>
<td align="left" valign="top">Hanai et al. 2015 (<xref ref-type="bibr" rid="ref50">50</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Japan</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">Others</td>
<td align="left" valign="top">CT scan/L3 SMI</td>
<td align="center" valign="top">130</td>
<td align="center" valign="top">65.4&#x2009;&#x00B1;&#x2009;12.2</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">29 (22)</td>
<td align="center" valign="top">79 (61)</td>
</tr>
<tr>
<td align="left" valign="top">Tsien et al. 2014 (<xref ref-type="bibr" rid="ref51">51</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">America</td>
<td align="left" valign="top">Listed for LT (before LT)</td>
<td align="left" valign="top">Others</td>
<td align="left" valign="top">CT scan</td>
<td align="center" valign="top">53</td>
<td align="center" valign="top">56.9&#x2009;&#x00B1;&#x2009;7.5</td>
<td align="center" valign="top">77</td>
<td align="center" valign="top">34 (64)</td>
<td align="center" valign="top">12 (23)</td>
<td align="center" valign="top">34 (64)</td>
</tr>
<tr>
<td align="left" valign="top">Montano Loza et al. 2021 (<xref ref-type="bibr" rid="ref52">52</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Canada</td>
<td align="left" valign="top">Listed for LT (before LT)</td>
<td align="left" valign="top">Others</td>
<td align="left" valign="top">CT scan/L3 SMI</td>
<td align="center" valign="top">112</td>
<td align="center" valign="top">54&#x2009;&#x00B1;&#x2009;1</td>
<td align="center" valign="top">70</td>
<td align="center" valign="top">Y</td>
<td align="center" valign="top">43 (38)</td>
<td align="center" valign="top">34 (30)</td>
</tr>
<tr>
<td align="left" valign="top">Anand et al. 2012 (<xref ref-type="bibr" rid="ref53">53</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">India</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">Others</td>
<td align="left" valign="top">CT scan/L3 SMI</td>
<td align="center" valign="top">180</td>
<td align="center" valign="top">42.9&#x2009;&#x00B1;&#x2009;9.9</td>
<td align="center" valign="top">79</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">47 (26)</td>
<td align="center" valign="top">N</td>
</tr>
<tr>
<td align="left" valign="top">Santos et al. 2019 (<xref ref-type="bibr" rid="ref54">54</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Brazil</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">ESPEN</td>
<td align="left" valign="top">DXA/AMMI</td>
<td align="center" valign="top">261</td>
<td align="center" valign="top">57.0&#x2009;&#x00B1;&#x2009;1.9</td>
<td align="center" valign="top">62</td>
<td align="center" valign="top">Y</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">N</td>
</tr>
<tr>
<td align="left" valign="top">Murata et al. 2022 (<xref ref-type="bibr" rid="ref55">55</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Japan</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">JSH</td>
<td align="left" valign="top">CT scan/L3 SMI</td>
<td align="center" valign="top">151</td>
<td align="center" valign="top">70&#x2009;&#x00B1;&#x2009;10</td>
<td align="center" valign="top">63</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">37 (25)</td>
<td align="center" valign="top">88 (58)</td>
</tr>
<tr>
<td align="left" valign="top">Salman et al. 2020 (<xref ref-type="bibr" rid="ref56">56</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">Egypt</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">Others</td>
<td align="left" valign="top">CT scan/L3 SMI</td>
<td align="center" valign="top">52</td>
<td align="center" valign="top">53.9&#x2009;&#x00B1;&#x2009;5.0</td>
<td align="center" valign="top">73</td>
<td align="center" valign="top">52 (100)</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">28 (54)</td>
</tr>
<tr>
<td align="left" valign="top">Ebadi et al. 2020 (<xref ref-type="bibr" rid="ref57">57</xref>)</td>
<td align="left" valign="top">Cross-sectional</td>
<td align="left" valign="top">Canada</td>
<td align="left" valign="top">General patients</td>
<td align="left" valign="top">Others</td>
<td align="left" valign="top">CT scan/L3 SMI</td>
<td align="center" valign="top">603</td>
<td align="center" valign="top">57&#x2009;&#x00B1;&#x2009;0.4</td>
<td align="center" valign="top">68</td>
<td align="center" valign="top">N</td>
<td align="center" valign="top">73 (18)</td>
<td align="center" valign="top">207 (34)</td>
</tr>
<tr>
<td align="left" valign="top">Kappus et al. 2020 (<xref ref-type="bibr" rid="ref58">58</xref>)</td>
<td align="left" valign="top">Cohort</td>
<td align="left" valign="top">America</td>
<td align="left" valign="top">Listed for LT (before LT)</td>
<td align="left" valign="top">Others</td>
<td align="left" valign="top">CT scan/L3 SMI</td>
<td align="center" valign="top">355</td>
<td align="center" valign="top">54.7&#x2009;&#x00B1;&#x2009;10.8</td>
<td align="center" valign="top">65</td>
<td align="center" valign="top">95 (27)</td>
<td align="center" valign="top">14 (4)</td>
<td align="center" valign="top">209 (59)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>JSH, Japan Society of Hepatology; EASL, European Association for the Study of the Liver; ESPEN, European Society of Clinical Nutrition and Metabolism; AASLD, American Association for the Study of Liver Diseases; FLEXIT, Each center is a member of the Fitness, Life Enhancement, and Exercise in Transplant; LT, liver transplant; HCC, hepatocellular carcinoma; EWGSOP2, 2019 European Working Group on Sarcopenia in Older Adults; EWGSOP, 2010 European Working Group on Sarcopenia in Older Adults; AWGS, Asian Working Group for Sarcopenia; BIA, bioimpedance analysis skeletal; SMD, muscle radiodensity; FFMA, fat-free muscle area; L3 SMA, skeletal muscle area at the L3 vertebra; SMI, muscle mass index at the L3 vertebra; L3-PMI, the psoas muscle index at the L3 vertebra; L3 TPMT, transversal psoas muscle thickness at the L3 vertebra; AMMI, appendicular muscle mass index; CT, computed tomography; L3, The third lumbar vertebra; N, There were no such patients in the study population; Y, There are such patients in the study population; TIPS, Transjugular intrahepatic portosystemic shunt.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec16"><label>3.3</label>
<title>Quality evaluation</title>
<p>All studies were rated high quality with NOS scores &#x2265;6. Among them, there were 5 studies (<xref ref-type="bibr" rid="ref26">26</xref>, <xref ref-type="bibr" rid="ref28">28</xref>, <xref ref-type="bibr" rid="ref35">35</xref>, <xref ref-type="bibr" rid="ref55">55</xref>, <xref ref-type="bibr" rid="ref56">56</xref>) with 6 scores, 20 studies (<xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref23">23</xref>, <xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref27">27</xref>, <xref ref-type="bibr" rid="ref32">32</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref39">39</xref>, <xref ref-type="bibr" rid="ref40">40</xref>, <xref ref-type="bibr" rid="ref43">43</xref>, <xref ref-type="bibr" rid="ref45">45</xref>, <xref ref-type="bibr" rid="ref47">47</xref>, <xref ref-type="bibr" rid="ref48">48</xref>, <xref ref-type="bibr" rid="ref51">51</xref>, <xref ref-type="bibr" rid="ref53">53</xref>, <xref ref-type="bibr" rid="ref54">54</xref>, <xref ref-type="bibr" rid="ref57 ref58 ref59">57&#x2013;59</xref>) with 7 scores, and 15 studies (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref22">22</xref>, <xref ref-type="bibr" rid="ref23">23</xref>, <xref ref-type="bibr" rid="ref29 ref30 ref31">29&#x2013;31</xref>, <xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref38">38</xref>, <xref ref-type="bibr" rid="ref41">41</xref>, <xref ref-type="bibr" rid="ref42">42</xref>, <xref ref-type="bibr" rid="ref44">44</xref>, <xref ref-type="bibr" rid="ref46">46</xref>, <xref ref-type="bibr" rid="ref49">49</xref>, <xref ref-type="bibr" rid="ref50">50</xref>, <xref ref-type="bibr" rid="ref52">52</xref>) with 8 scores.</p>
</sec>
<sec id="sec17"><label>3.4</label>
<title>Meta-analysis</title>
<sec id="sec18"><label>3.4.1</label>
<title>Association between sarcopenia and cirrhosis</title>
<p>Out of the 40 studies included, 34 studies (<xref ref-type="bibr" rid="ref22 ref23 ref24 ref25 ref26 ref27 ref28 ref29 ref30 ref31 ref32 ref33 ref34 ref35 ref36 ref37 ref38">22&#x2013;38</xref>, <xref ref-type="bibr" rid="ref40 ref41 ref42 ref43 ref44 ref45">40&#x2013;45</xref>, <xref ref-type="bibr" rid="ref47 ref48 ref49 ref50 ref51 ref52 ref53 ref54 ref55 ref56">47&#x2013;56</xref>, <xref ref-type="bibr" rid="ref58">58</xref>) with a total of 7,024 participants provided data on prevalence of sarcopenia, resulting in a pooled prevalence of 41% (RR&#x2009;=&#x2009;41, 95% CI: 34%&#x2013;48%, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). Due to significant heterogeneity between studies (<italic>I</italic><sup>2</sup>&#x2009;=&#x2009;97.8%), as depicted in <xref ref-type="fig" rid="fig2">Figure 2A</xref>, subgroup analyses were conducted based on gender, the definition of sarcopenia, diagnostic criteria, and etiology of cirrhosis. The results revealed variations in prevalence between these subgroups. In particular, male patients exhibited a greater overall prevalence of sarcopenia in contrast to female patients. Patients diagnosed with sarcopenia according to the EWSOP2 criteria had a higher prevalence compared to those using other criteria (RR&#x2009;=&#x2009;50, 95% CI: 44%&#x2013;56%, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). Furthermore, there was a higher prevalence of sarcopenia among patients in the liver transplant cohort compared to other patients (RR&#x2009;=&#x2009;46, 95% CI: 17%&#x2013;76%, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). Notably, the prevalence of sarcopenia, as defined by the skeletal muscle area at the third lumbar spine (L3-SMA), was higher in the European population (RR&#x2009;=&#x2009;67, 95% CI: 32%&#x2013;100%, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) compared to the Asian population (Europe, RR&#x2009;=&#x2009;59, 95% CI: 38%&#x2013;80%, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001; Asia, RR&#x2009;=&#x2009;34, 95% CI: 25%&#x2013;43%, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). Surprisingly, the prevalence of patients with or without hepatocellular carcinoma was nearly the same (HCC, RR&#x2009;=&#x2009;38, 95% CI: 26%&#x2013;51%, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001; non-HCC, RR&#x2009;=&#x2009;39, 95% CI: 31%&#x2013;47%, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). Furthermore, subgroup analyses indicated that factors such as gender, criteria for defining sarcopenia, methods of measuring muscle mass, patient origin, patient&#x2019;s country, and the inclusion of HCC patients in the cohort were not sources of heterogeneity (<xref ref-type="table" rid="tab2">Table 2</xref>). The result of Egger&#x2019;s test indicated the presence of publication bias (<italic>p</italic>&#x2009;=&#x2009;0.001).</p>
<fig position="float" id="fig2"><label>Figure 2</label>
<caption>
<p>Prevalence of sarcopenia in patients with <bold>(A)</bold> cirrhosis, and <bold>(B)</bold> hepatic encephalopathy due to cirrhosis.</p>
</caption>
<graphic xlink:href="fnut-10-1342100-g002.tif"/>
</fig>
<table-wrap position="float" id="tab2"><label>Table 2</label>
<caption>
<p>Subgroup analysis of the correlation between depression and Internet addiction based on gender, definition of sarcopenia, measure muscle mass, HCC and country.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Subgroup</th>
<th align="center" valign="top">RR</th>
<th align="center" valign="top">95% CI</th>
<th align="center" valign="top"><italic>p</italic></th>
<th align="center" valign="top"><italic>I</italic><sup>2</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" char="." colspan="5">
<bold>Gender</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Men</td>
<td align="center" valign="top">44%</td>
<td align="char" valign="top" char="&#x2013;">38%&#x2013;51%</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
<td align="char" valign="top" char=".">95.2%</td>
</tr>
<tr>
<td align="left" valign="top">Women</td>
<td align="center" valign="top">35%</td>
<td align="char" valign="top" char="&#x2013;">27%&#x2013;44%</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
<td align="char" valign="top" char=".">95.0%</td>
</tr>
<tr>
<td align="left" valign="top" char="." colspan="5">
<bold>Definition of sarcopenia</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">EWSOP2</td>
<td align="center" valign="top">50%</td>
<td align="char" valign="top" char="&#x2013;">46%&#x2013;53%</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
<td align="char" valign="top" char=".">67.5%</td>
</tr>
<tr>
<td align="left" valign="top">JSH</td>
<td align="center" valign="top">24%</td>
<td align="char" valign="top" char="&#x2013;">21&#x2013;26%</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
<td align="char" valign="top" char=".">92.6%</td>
</tr>
<tr>
<td align="left" valign="top">Others</td>
<td align="center" valign="top">37%</td>
<td align="char" valign="top" char="&#x2013;">35%&#x2013;38%</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
<td align="char" valign="top" char=".">97.5%</td>
</tr>
<tr>
<td align="left" valign="top" char="." colspan="5">
<bold>Source of sample</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">General patients</td>
<td align="center" valign="top">41%</td>
<td align="char" valign="top" char="&#x2013;">33%&#x2013;49%</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
<td align="char" valign="top" char=".">97.9%</td>
</tr>
<tr>
<td align="left" valign="top">Patients underwent the TIPS</td>
<td align="center" valign="top">29%</td>
<td align="char" valign="top" char="&#x2013;">0%&#x2013;58%</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
<td align="char" valign="top" char=".">96.8%</td>
</tr>
<tr>
<td align="left" valign="top">Listed for LT (before LT)</td>
<td align="center" valign="top">46%</td>
<td align="char" valign="top" char="&#x2013;">17%&#x2013;76%</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
<td align="char" valign="top" char=".">98.5%</td>
</tr>
<tr>
<td align="left" valign="top" char="." colspan="5">
<bold>Measure muscle mass</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">L3 SMA</td>
<td align="center" valign="top">67%</td>
<td align="char" valign="top" char="&#x2013;">32%&#x2013;100%</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
<td align="char" valign="top" char=".">97.2%</td>
</tr>
<tr>
<td align="left" valign="top">L3 SMI</td>
<td align="center" valign="top">40%</td>
<td align="char" valign="top" char="&#x2013;">33%&#x2013;46%</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
<td align="char" valign="top" char=".">96.6%</td>
</tr>
<tr>
<td align="left" valign="top">L3 PMI</td>
<td align="center" valign="top">36%</td>
<td align="char" valign="top" char="&#x2013;">18%&#x2013;55%</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
<td align="char" valign="top" char=".">82.3%</td>
</tr>
<tr>
<td align="left" valign="top">L3 TPMT</td>
<td align="center" valign="top">26%</td>
<td align="char" valign="top" char="&#x2013;">4%&#x2013;49%</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
<td align="char" valign="top" char=".">96.7%</td>
</tr>
<tr>
<td align="left" valign="top" char="." colspan="5">
<bold>HCC</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Y</td>
<td align="center" valign="top">38%</td>
<td align="char" valign="top" char="&#x2013;">26%&#x2013;51%</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
<td align="char" valign="top" char=".">98.3%</td>
</tr>
<tr>
<td align="left" valign="top">N</td>
<td align="center" valign="top">39%</td>
<td align="char" valign="top" char="&#x2013;">31%&#x2013;47%</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
<td align="char" valign="top" char=".">97.2%</td>
</tr>
<tr>
<td align="left" valign="top" char="." colspan="5">
<bold>Country</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Asia</td>
<td align="center" valign="top">34%</td>
<td align="char" valign="top" char="&#x2013;">25%&#x2013;43%</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
<td align="char" valign="top" char=".">97.8%</td>
</tr>
<tr>
<td align="left" valign="top">Europe</td>
<td align="center" valign="top">59%</td>
<td align="char" valign="top" char="&#x2013;">38%&#x2013;80%</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
<td align="char" valign="top" char=".">94.4%</td>
</tr>
<tr>
<td align="left" valign="top">North America</td>
<td align="center" valign="top">45%</td>
<td align="char" valign="top" char="&#x2013;">36%&#x2013;54%</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
<td align="char" valign="top" char=".">95.8%</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>EWGSOP2, 2019 European Working Group on Sarcopenia in Older Adults; JSH, Japan Society of Hepatology; EASL, European Association for the Study of the Liver; Y, There are such patients in the cohort, N, There were no such patients in the cohort; LT, liver transplant; TIPS, Transjugular intrahepatic portosystemic shunt; L3 SMA, skeletal muscle area at the L3 vertebra; SMI, muscle mass index at the L3 vertebra; L3-PMI, the psoas muscle index at the L3 vertebra; L3 TPMT, transversal psoas muscle thickness at the L3 vertebra; N, There were no such patients in the study population; Y, There are such patients in the study population.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec19"><label>3.4.2</label>
<title>Association between sarcopenia and risk of hepatic encephalopathy in patients with cirrhosis</title>
<p>The prevalence of sarcopenia was reported in seven studies (<xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref22">22</xref>, <xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref35">35</xref>, <xref ref-type="bibr" rid="ref42">42</xref>, <xref ref-type="bibr" rid="ref46">46</xref>, <xref ref-type="bibr" rid="ref52">52</xref>) (<italic>n</italic>&#x2009;=&#x2009;426). The results unraveled that the pooled prevalence of sarcopenia was 48% (95% CI: 27%&#x2013;72%, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) in patients with cirrhosis and hepatic encephalopathy (<xref ref-type="fig" rid="fig2">Figure 2B</xref>). The presence of hepatic encephalopathy increased the prevalence of sarcopenia. However, there was significant heterogeneity among the studies (<italic>I</italic><sup>2</sup>&#x2009;=&#x2009;97.6%). Egger&#x2019;s test showed no significant publication bias (<italic>p</italic>&#x2009;=&#x2009;0.217).</p>
<p>The HR results from the other three studies (<xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref22">22</xref>, <xref ref-type="bibr" rid="ref46">46</xref>) were combined, revealing that sarcopenia was a risk factor for hepatic encephalopathy (HR&#x2009;=&#x2009;2.27, 95% CI: 1.76&#x2013;2.94, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). Slightly greater heterogeneity was detected between the studies (<italic>I</italic><sup>2</sup>&#x2009;=&#x2009;53%) (<xref ref-type="fig" rid="fig3">Figure 3A</xref>). The result of Egger&#x2019;s test yielded a <italic>p</italic>-value of 0.323.</p>
<fig position="float" id="fig3"><label>Figure 3</label>
<caption>
<p>Forest plot. <bold>(A)</bold> univariate analysis of the incidence of hepatic encephalopathy in patients with sarcopenia and cirrhosis, <bold>(B)</bold> 6&#x2009;years cumulative survival rate in patients with or without sarcopenia, <bold>(C)</bold> annual survival rate subgroups in patients with and without sarcopenia.</p>
</caption>
<graphic xlink:href="fnut-10-1342100-g003.tif"/>
</fig>
</sec>
<sec id="sec20"><label>3.4.3</label>
<title>Impact of sarcopenia on the cumulative survival rate among individuals with liver cirrhosis</title>
<p>Ten studies (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref23">23</xref>, <xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref44 ref45 ref46">44&#x2013;46</xref>, <xref ref-type="bibr" rid="ref48">48</xref>, <xref ref-type="bibr" rid="ref49">49</xref>, <xref ref-type="bibr" rid="ref52">52</xref>, <xref ref-type="bibr" rid="ref59">59</xref>) (<italic>n</italic>&#x2009;=&#x2009;1,218) were included in this analysis. The results revealed that sarcopenia in patients with cirrhosis was a risk factor for a 6-year survival rate (RR&#x2009;=&#x2009;1.07, 95% CI: 1.04&#x2013;1.09, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), with low heterogeneity between studies (<italic>I</italic><sup>2</sup>&#x2009;=&#x2009;45.2%) (<xref ref-type="fig" rid="fig3">Figure 3B</xref>). However, based on the result of Egger&#x2019;s test (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), there was evidence of publication bias among the studies. Subgroup analysis by time (years) showed that sarcopenia had a more pronounced impact on survival rates in the first 4&#x2009;years, which decreased with time (<xref ref-type="fig" rid="fig3">Figure 3C</xref>).</p>
<p>By analyzing the HR for cirrhosis survival and sarcopenia in seven of these studies (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref22">22</xref>, <xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref42">42</xref>, <xref ref-type="bibr" rid="ref44">44</xref>, <xref ref-type="bibr" rid="ref47">47</xref>, <xref ref-type="bibr" rid="ref50">50</xref>) (<italic>n</italic>&#x2009;=&#x2009;1,973), we found that sarcopenia was a barrier to survival (HR&#x2009;=&#x2009;2.57, 95% CI: 2.02&#x2013;3.27), with relatively low heterogeneity between studies (<italic>I</italic><sup>2</sup>&#x2009;=&#x2009;48.7%) (<xref ref-type="fig" rid="fig4">Figure 4A</xref>).</p>
<fig position="float" id="fig4"><label>Figure 4</label>
<caption>
<p>Forest plot. <bold>(A)</bold> univariate analysis of sarcopenia and survival rate, <bold>(B)</bold> mortality in patients with sarcopenia and cirrhosis, <bold>(C)</bold> univariate analysis of mortality in patients with sarcopenia and cirrhosis.</p>
</caption>
<graphic xlink:href="fnut-10-1342100-g004.tif"/>
</fig>
<p>When excluding the cohort that included HCC patients, a separate analysis of patients without HCC revealed a pooled HR of 2.44 (95% CI: 1.85&#x2013;3.22). Furthermore, sarcopenia was associated with an over 2-fold reduction in survival rates in patients with liver cirrhosis, regardless of the study site, whether HCC patients were excluded from the cohort, whether patients underwent liver transplant or TIPS surgery, whether sarcopenia was defined by L3-SMI or other methods, and diagnostic criteria (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figures S1&#x2013;S3</xref>). The funnel plot is shown in <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S4</xref>.</p>
</sec>
<sec id="sec21"><label>3.4.4</label>
<title>Correlation between sarcopenia and mortality in patients with cirrhosis</title>
<p>The mortality in patients with cirrhosis across four studies (<xref ref-type="bibr" rid="ref26">26</xref>, <xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref46">46</xref>, <xref ref-type="bibr" rid="ref56">56</xref>) was meta-analyzed, and the pooled mortality rate was 76% (95% CI: 62%&#x2013;94%, <italic>p</italic>&#x2009;=&#x2009;0.011). There was a high likelihood of heterogeneity between the studies (<italic>I</italic><sup>2</sup>&#x2009;=&#x2009;80.7%) (<xref ref-type="fig" rid="fig4">Figure 4B</xref>). In the sensitivity analysis, we excluded one study (<xref ref-type="bibr" rid="ref46">46</xref>) after careful examination, and the pooled corrected mortality risk ratio (RR) was similar to that of the main analysis, at 68% (95% CI: 61%&#x2013;77%, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). Heterogeneity was very low (<italic>I</italic><sup>2</sup>&#x2009;=&#x2009;0%). The result of Egger&#x2019;s test was <italic>p</italic>&#x2009;=&#x2009;0.464.</p>
<p>In a univariate analysis of data from 12 studies (<xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref23">23</xref>, <xref ref-type="bibr" rid="ref26">26</xref>, <xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref39">39</xref>, <xref ref-type="bibr" rid="ref45">45</xref>, <xref ref-type="bibr" rid="ref46">46</xref>, <xref ref-type="bibr" rid="ref49">49</xref>, <xref ref-type="bibr" rid="ref52">52</xref>, <xref ref-type="bibr" rid="ref59">59</xref>) (<italic>n</italic>&#x2009;=&#x2009;1,781), it was found that sarcopenia was a risk factor for mortality with a combined unadjusted hazard ratio (HR) of 2.13 (95% CI: 1.86&#x2013;2.44, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). The heterogeneity between studies was very low (<italic>I</italic><sup>2</sup>&#x2009;=&#x2009;0%) (<xref ref-type="fig" rid="fig4">Figure 4C</xref>), and Egger&#x2019;s test revealed no publication bias in the studies and that the combined HR was reliable (<italic>p</italic>&#x2009;=&#x2009;0.959). The funnel plot is shown in <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S5</xref>.</p>
<p>In all subgroups of the mortality analysis, including country, definition of sarcopenia, presence of HCC, and source of the sample, sarcopenia consistently emerged as a risk factor for mortality. Regardless of the patient&#x2019;s country and region, the definition standard of sarcopenia, and the method of measuring muscle mass, whether the cohort included ALD patients or excluded HCC patients, the HR for mortality in sarcopenia patients was consistently around 2 times higher (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figures S6&#x2013;S9</xref>).</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="sec22"><label>4</label>
<title>Discussion</title>
<p>In this analysis of 40 studies involving 8,945 patients with cirrhosis, the prevalence of sarcopenia in the cirrhotic population was found to be higher (41%) than that (33%) reported in a previous study (<xref ref-type="bibr" rid="ref60">60</xref>). A higher prevalence was observed in male patients (44%) and those with hepatic encephalopathy (48%). The findings also illustrated a robust correlation between sarcopenia and both the survival rate and mortality in cirrhosis patients. This correlation was substantiated by subgroup analyses based on study location, sample origin, diagnostic criteria, and methodologies. Furthermore, the analysis outcomes indicated a substantial connection between sarcopenia and hepatic encephalopathy in individuals with liver cirrhosis.</p>
<p>A previous systematic reviews and meta-analyses included four articles that assessed the relationship between sarcopenia and cirrhosis. However, one study only pooled retrospective cohorts of patients with sarcopenia and hepatic encephalopathy (<xref ref-type="bibr" rid="ref61">61</xref>), another study did not include hepatic encephalopathy in the analysis (<xref ref-type="bibr" rid="ref15">15</xref>), one study solely focused on the prevalence of sarcopenia in patients with cirrhosis (<xref ref-type="bibr" rid="ref60">60</xref>). A different meta-analysis included a large number of patients after liver transplantation, but all included studies were retrospective observational cohort studies (<xref ref-type="bibr" rid="ref62">62</xref>). In contrast, our study conducted a more comprehensive and extensive search, additionally analyzed hepatic encephalopathy in patients with liver cirrhosis, and incorporated approximately 50% prospective studies. To ensure the quality of the study, we rigorously controlled the inclusion and exclusion criteria for articles and performed subgroup and sensitivity analyses for all outcomes.</p>
<p>This research revealed that the general prevalence of sarcopenia in individuals with liver cirrhosis stood at 41%, with a notably elevated prevalence among male patients. This finding was in line with previous analyses (<xref ref-type="bibr" rid="ref15">15</xref>, <xref ref-type="bibr" rid="ref60">60</xref>), which could be attributed to the predominance of males in the study samples (67.08%). Furthermore, we established a strong link between sarcopenia and an increased risk of death in cirrhotic patients. Patients with sarcopenia exhibited a higher mortality rate and a 2.13-fold elevated risk of death compared to those without sarcopenia. Sarcopenia posed a significant obstacle to survival. A previous study has demonstrated a higher incidence of complications and a reduced quality of life in patients with sarcopenia (<xref ref-type="bibr" rid="ref27">27</xref>). The survival rate of patients with sarcopenia was 2.57 times lower than that of patients without sarcopenia. In a subgroup analysis of survival, the pooled HR was higher in patients receiving transjugular intrahepatic portocaval shunts (TIPS) than in the general population (3.71 vs. 2.35). This suggests that TIPS had a more significant impact on survival, and we hypothesized that sarcopenia played a role in worsening survival among cirrhotic patients receiving TIPS. The combined HR was also higher in the cohort containing hepatocellular carcinoma (HCC) patients compared to the cohort without HCC patients (3.38 vs. 2.31), indicating that HCC had a more pronounced effect on survival rates. This highlights the connection between sarcopenia and 5&#x2009;years cumulative survival in cirrhotic patients.</p>
<p>From a pathophysiologic point of view, sarcopenia results from an imbalance between protein synthesis and degradation caused by multiple pathways. Chronic sarcopenia is characterized by loss of muscle mass, metabolic and biochemical abnormalities, and disruption of protein homeostasis throughout the body (<xref ref-type="bibr" rid="ref63">63</xref>). Increased hepatic gluconeogenesis in cirrhotic patients is most likely due to limited hepatic glycogen content and insulin resistance, resulting in insufficient supply of branched-chain amino acids and glucose to muscle cells. In addition, recent clinical trials have found testosterone deficiency in cirrhotic patients, indicating increased muscle cell apoptosis and myogenic protein activity (<xref ref-type="bibr" rid="ref64">64</xref>). Sarcopenia may be also induced by chronic catabolic conditions, such as cachexia due to cirrhosis, increased energy consumption, and decreased food intake due to loss of appetite. Maintaining muscle mass and avoiding rapid loss of muscle mass and transition to sarcopenia appear to be critical for the prognosis of patients with cirrhosis. Therefore, improving survival and quality of life by monitoring body composition and screening for sarcopenia should be a priority in the clinical management of cirrhosis.</p>
<p>Our analysis suggests that sarcopenia constitutes a risk factor for hepatic encephalopathy. In the context of hepatic encephalopathy, ammonia plays a pivotal role in the development of HE in individuals with liver cirrhosis. Previous studies have also demonstrated that the toxicity of ammonia impacts muscles and other organs. In chronic liver disease, muscles play a critical compensatory role in ammonia clearance. However, as the ammonia clearance rate decreases in cirrhotic patients, the compensatory function of patients with sarcopenia weakens. This results in the influx of ammonia into the blood in substantial quantities, greatly increasing the likelihood of hepatic encephalopathy. During hyperammonemia, the loss of muscle mass and subsequent impairment, induced by mitochondrial dysfunction and reduced adenosine triphosphate, or altered protein modification due to various factors, contribute to the onset of sarcopenia, creating a vicious cycle (<xref ref-type="bibr" rid="ref65">65</xref>). Diagnosing hepatic encephalopathy is vital for the prognosis of patients with liver cirrhosis. However, due to equipment and personnel constraints, hepatic encephalopathy is not routinely examined in clinical practice (<xref ref-type="bibr" rid="ref66">66</xref>). Therefore, medical staff should be attentive to such patients and implement more targeted screening and interventions for their benefit. The earlier sarcopenia is detected, the sooner the prevention and treatment programs can be initiated to prevent significant impact on HE.</p>
<p>The limitations of this article can be summarized as follows. First, the patient characteristics of the included studies were inconsistent, such as their demographics (i.e., the severity of and causes of cirrhosis) and methods used to determine sarcopenia. This inconsistency may have contributed to the observed heterogeneity. To address this issue, future studies should standardize diagnostic criteria as much as possible to include more patients with cirrhosis and/or sarcopenia with the same characteristics. Second, the majority of the studies included in our analysis were observational cohort studies, potentially introducing bias due to variations in statistical methods, diagnostic criteria, cut-off values for defining sarcopenia, and the distribution of viral liver disease, alcoholic liver disease, and the percentage of cases involving hepatocellular carcinoma (HCC). We attempted to mitigate these limitations through subgroup and sensitivity analyses. Nevertheless, it is imperative to adopt standardized definitions and criteria when conducting meta-analyses of individual sarcopenia data to better elucidate the prevalence of sarcopenia and provide a more comprehensive description of cirrhosis patients with sarcopenia. Finally, we only included studies published in English and may have excluded relevant studies published in other languages, so there may be biases.</p>
<p>In conclusion, this systematic review and meta-analysis establishes that patients with cirrhosis have a prevalence of sarcopenia of 41%, with up to half of these individuals developing cirrhosis due to either alcoholic liver disease or viral hepatitis. Moreover, sarcopenia is closely associated with the survival and mortality rates in patients with cirrhosis, the study reveals that sarcopenia is linked to a greater than twofold rise in the risk of mortality and a decline in survival rates across most subgroups. Hepatic encephalopathy may interact with sarcopenia in patients with cirrhosis. Based on our comprehensive analysis, sarcopenia should be included as an integral component of the initial assessment for all cirrhosis patients.</p>
</sec>
<sec sec-type="data-availability" id="sec23">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="author-contributions" id="sec24">
<title>Author contributions</title>
<p>YC: Conceptualization, Formal analysis, Investigation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. MZ: Conceptualization, Formal analysis, Investigation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. JG: Conceptualization, Formal analysis, Investigation, Writing &#x2013; review &#x0026; editing. JJ: Conceptualization, Formal analysis, Investigation, Writing &#x2013; review &#x0026; editing. HW: Conceptualization, Supervision, Writing &#x2013; review &#x0026; editing. XW: Conceptualization, Supervision, Writing &#x2013; review &#x0026; editing.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec25">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<sec sec-type="COI-statement" id="sec26">
<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="sec100" sec-type="disclaimer">
<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="sec27">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fnut.2023.1342100/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fnut.2023.1342100/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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