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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Gastroenterol.</journal-id>
<journal-title>Frontiers in Gastroenterology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Gastroenterol.</abbrev-journal-title>
<issn pub-type="epub">2813-1169</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fgstr.2022.1005729</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Gastroenterology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Sex-specific association between alcohol consumption and liver cirrhosis: An updated systematic review and meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Llamosas-Falc&#xf3;n</surname>
<given-names>Laura</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1832359"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Probst</surname>
<given-names>Charlotte</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Buckley</surname>
<given-names>Charlotte</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jiang</surname>
<given-names>Huan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lasserre</surname>
<given-names>Aur&#xe9;lie M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Puka</surname>
<given-names>Klajdi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tran</surname>
<given-names>Alexander</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rehm</surname>
<given-names>J&#xfc;rgen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="aff" rid="aff9">
<sup>9</sup>
</xref>
<xref ref-type="aff" rid="aff10">
<sup>10</sup>
</xref>
<xref ref-type="aff" rid="aff11">
<sup>11</sup>
</xref>
<xref ref-type="aff" rid="aff12">
<sup>12</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/887994"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Institute for Mental Health Policy Research, Centre for Addiction and Mental Health</institution>, <addr-line>Toronto, ON</addr-line>, <country>Canada</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Heidelberg Institute of Global Health, Medical Faculty and University Hospital</institution>, <addr-line>Heidelberg</addr-line>, <country>Germany</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health</institution>, <addr-line>Toronto, ON</addr-line>, <country>Canada</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Psychiatry, University of Toronto</institution>, <addr-line>Toronto, ON</addr-line>, <country>Canada</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Automatic Control and Systems Engineering, University of Sheffield</institution>, <addr-line>Sheffield</addr-line>, <country>United Kingdom</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Dalla Lana School of Public Health, University of Toronto</institution>, <addr-line>Toronto, ON</addr-line>, <country>Canada</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Addiction Medicine, Department of Psychiatry, Lausanne University Hospital</institution>, <addr-line>Lausanne</addr-line>, <country>Switzerland</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Department of Epidemiology and Biostatistics, Western University</institution>, <addr-line>London, ON</addr-line>, <country>Canada</country>
</aff>
<aff id="aff9">
<sup>9</sup>
<institution>Institute of Clinical Psychology and Psychotherapy &amp; Center of Clinical Epidemiology and Longitudinal Studies (CELOS), Technische Universit&#xe4;t Dresden</institution>, <addr-line>Dresden</addr-line>, <country>Germany</country>
</aff>
<aff id="aff10">
<sup>10</sup>
<institution>Center for Interdisciplinary Addiction Research (ZIS), Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf (UKE)</institution>, <addr-line>Hamburg</addr-line>, <country>Germany</country>
</aff>
<aff id="aff11">
<sup>11</sup>
<institution>Faculty of Medicine, Institute of Medical Science, University of Toronto</institution>, <addr-line>Toronto, ON</addr-line>, <country>Canada</country>
</aff>
<aff id="aff12">
<sup>12</sup>
<institution>Department of International Health Projects, Institute for Leadership and Health Management, I.M. Sechenov First Moscow State Medical University</institution>, <addr-line>Moscow, Russian Federation</addr-line>, <country>Russia</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Luis Antonio D&#xed;az Piga, Pontificia Universidad Cat&#xf3;lica de Chile, Chile</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Andrei Voiosu, Colentina Clinical Hospital, Romania; Juan Pablo Roblero, Clinical Hospital of the University of Chile, Chile; Stephen Congly, University of Calgary, Canada</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Laura Llamosas-Falc&#xf3;n, <email xlink:href="mailto:laura.llamosas@camh.ca">laura.llamosas@camh.ca</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Hepatology, a section of the journal Frontiers in Gastroenterology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>13</day>
<month>10</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>1</volume>
<elocation-id>1005729</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>07</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>09</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Llamosas-Falc&#xf3;n, Probst, Buckley, Jiang, Lasserre, Puka, Tran and Rehm</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Llamosas-Falc&#xf3;n, Probst, Buckley, Jiang, Lasserre, Puka, Tran and Rehm</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>
<p>Different studies have shown that females develop liver diseases at lower levels of alcohol consumption than males. Our aim was to quantify the dose-response relationship between alcohol consumption and the risk of liver cirrhosis by sex and identify the differences between females and males. A systematic review was conducted using PubMed/Medline and Embase to identify longitudinal and case-control studies that analyzed the relationship between the level of alcohol use and liver cirrhosis (LC) incidence, and mortality (ICD-8 and ICD-9 codes 571 and ICD-10 codes K70, K73, K74). Pooled relative risks (RR) were calculated by random effects models. Restricted cubic splines were used to model the dose-response relationship. A total of 24 studies were included in the analysis. There were collectively 2,112,476 females and 924,853 males, and a total of 4,301 and 4,231 cases of LC for females and males, respectively. We identified a non-linear dose-response relationship. Females showed a higher risk for LC compared to males with the same amount of alcohol consumed daily. For instance, drinking 40 g/day showed RRs of 9.35 (95% CI 7.64-11.45) in females and 2.82 (95% CI 2.53-3.14) in males, while drinking 80 g/day presented RRs of 23.32 (95% CI 18.24-29.82) in females and 7.93 (95% CI 7.12-8.83) in males. Additional analyses showed that a higher risk for females was found for morbidity and for mortality. Understanding the influence of sex on the association of alcohol consumption and the risk of LC is needed to develop recommendations and clinical guidelines for prevention and treatment.</p>
<sec>
<title>Systematic Review Registration</title>
<p>
<uri xlink:href="https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022299680">https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022299680</uri>, identifier CRD42022299680.</p>
</sec>
</abstract>
<kwd-group>
<kwd>liver cirrhosis</kwd>
<kwd>alcohol</kwd>
<kwd>systematic review</kwd>
<kwd>meta-analysis</kwd>
<kwd>epidemiology</kwd>
</kwd-group>
<contract-num rid="cn001">R01AA028009</contract-num>
<contract-sponsor id="cn001">National Institute on Alcohol Abuse and Alcoholism<named-content content-type="fundref-id">10.13039/100000027</named-content>
</contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="61"/>
<page-count count="13"/>
<word-count count="5169"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Globally, the incidence of liver cirrhosis (LC) has shown an increasing trend in females and a stabilized trend in males in recent years (<xref ref-type="bibr" rid="B1">1</xref>), with certain areas such as the Eastern Mediterranean Region, African Region and South-East Asia, having an increasing trend of LC in females and males. Other areas had an increasing trend only in males, such as the European Region, and only in females, such as the Region of the Americas. In addition, although death and disability-adjusted life years (DALY) global rates of LC decreased from 1990 to 2019, the number of deaths and DALYs and the proportion of all global deaths due to LC have increased (<xref ref-type="bibr" rid="B2">2</xref>), being ranked the 8th most common non-communicable disease cause of death globally in 2019 (1). With alcohol use being a key risk factor in the progression and mortality of LC (<xref ref-type="bibr" rid="B3">3</xref>), particularly among females (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>), efforts should be made to develop alcohol control policies and prevention measures to address this concerning public health problem.</p>
<p>There is evidence that a dose-response relationship between alcohol consumption and LC exists (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B8">8</xref>) and, at the same level of alcohol consumption, females seem to have a higher risk of developing LC than males (<xref ref-type="bibr" rid="B7">7</xref>). By studying how the dose-response relationship varies by cause of LC and by fatal vs non-fatal events in females and males (<xref ref-type="bibr" rid="B9">9</xref>), we will have strong evidence to inform policy makers and prevention experts on whether most of their efforts should be directed to the general population level or targeted towards females and males by their levels of alcohol use. For instance, if the risk curves are more linear, a general population approach will yield better results, whereas with more exponential risk curves targeted approaches should be recommended (<xref ref-type="bibr" rid="B10">10</xref>). Consequently, there is a need to have global, updated, and precise risk curves on the association of alcohol consumption and LC in females and males from which we can identify the meaningful risk increases for each sex. Accordingly, our aim was to quantify the dose-response relationship on alcohol use and the risk of LC by sex using meta-analysis and meta-regression models, and to identify the differences between females and males in the risks of morbidity and mortality due to LC.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Systematic review</title>
<p>We conducted a systematic review using PubMed/Medline and Embase databases from their inception to October 12, 2021, applying the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria (see PRISMA checklist (<xref ref-type="bibr" rid="B11">11</xref>) in the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material 1</bold>
</xref>). An updated search was conducted on January 14, 2022 with no new references discovered. Any combination of key words and MeSH terms relating to alcohol consumption, LC, and observational studies were included (for the complete search strategy, see <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material 2</bold>
</xref>) and the reference list of relevant articles was reviewed. All references were screened by one author, with independent verification by two additional reviewers. We screened the publications which resulted from a wider review on alcohol consumption and LC (PROSPERO registration number CRD42022299680) in order to identify papers with sex-specific results.</p>
<p>Studies included were articles with a longitudinal or case control design. The exposure variable was the quantity of alcohol use. The outcome was LC morbidity (incidence of LC or decompensated LC) and mortality (ICD-8 and ICD-9 codes 571 and ICD-10 codes K70, K73, K74). Studies were excluded if they were not published as full reports, they used a cross sectional design, or there was not enough data to compute the relative risk related to alcohol use. For this review, we also excluded articles which presented their results with both sexes combined.</p>
</sec>
<sec id="s2_2">
<title>Data extraction</title>
<p>Two authors extracted relevant information using a standardized spreadsheet which included the title, first author, year of publication, country, study design, year of study at baseline and follow-up, sex, sample size, cause of LC, socioeconomic status, alcohol consumption categories, time period of alcohol consumption, risk estimates (relative risk (RR), odds ratio (OR) and hazard ratio (HR)) with their corresponding 95% CIs, adjustments, and outcomes.</p>
<p>If the quantity of alcohol use was not presented in grams per day, we converted it based on the size of a standard drink in the country the study was based on. When alcohol was given in ranges, the midpoint was taken. If there was no upper bound for the highest category, 75% of the width from the previous category range was taken and added to the lower bound, and this value was used to represent the highest level of alcohol use.</p>
</sec>
<sec id="s2_3">
<title>Quality assessment</title>
<p>We used an adapted version of the Cochrane Risk-of-Bias Tool for Non-Randomized Studies (ROBINS-I) (<xref ref-type="bibr" rid="B12">12</xref>) to assess the risk of bias in the studies included in our analysis (for details on the adaptation, see <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material 3</bold>
</xref>). The evidence was rated based on the Grading of Recommendations Assessment, Development and Evaluation approach (<xref ref-type="bibr" rid="B13">13</xref>). Each article was rated by at least two authors and several consensus conferences were held to produce the final ratings. The overall bias for each study was rated with one of the following scores: low, moderate, serious, or critical, with the ranking going from the lowest to the highest risk of bias.</p>
</sec>
<sec id="s2_4">
<title>Statistical analysis</title>
<p>We harmonized the reference categories of all the included studies to have lifetime abstainers serve as the reference category. This step was necessary to avoid the &#x201c;sick quitter bias&#x201d; which is the bias of including abstainers who quit drinking for health reasons (<xref ref-type="bibr" rid="B14">14</xref>) (for similar analyses, see (<xref ref-type="bibr" rid="B15">15</xref>)). RRs were pooled with the inverse-variance method using Restricted Maximum Likelihood (REML) random effects model (<xref ref-type="bibr" rid="B16">16</xref>). Heterogeneity was quantified using the Cochrane Q-test and the I<sup>2</sup> statistic. In order to obtain the dose-response curves, five models were tested (linear, quadratic, restrictive cubic splines, cubic polynomial, and fractional polynomial) (<xref ref-type="bibr" rid="B17">17</xref>). The model which best fit our data was selected based on Akaike Information Criterion (AIC) and Bayesian information criterion (BIC) statistics.</p>
<p>We ran meta-regression models, integrating sex, cause of LC, quality score, and outcomes to test their interactions with the amount of alcohol consumed. The differences between the estimates were tested using a Wald-type test. In addition, we conducted a sensitivity analysis excluding the study conducted by Liu and colleges (<xref ref-type="bibr" rid="B18">18</xref>), as it had the highest weight in our analysis due to its large sample size. All analysis were conducted using meta (<xref ref-type="bibr" rid="B19">19</xref>) and metafor (<xref ref-type="bibr" rid="B20">20</xref>) packages in R software version 4.2.1 (<xref ref-type="bibr" rid="B21">21</xref>).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>A total of 24 studies were included in the analysis (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>); 13 of the studies provided results for females and 19 provided results for males. <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> presents the studies&#x2019; characteristics. There were collectively 2,112,476 females and 924,853 males, and a total of 4,301 and 4,231 cases of LC for females and males respectively. The majority of studies were cohort studies (67%). In total, 10 studies (42%) provided results for LC morbidity, 11 studies (46%) were mortality studies, and three studies (12%) presented their results with both morbidity and mortality combined. As for the type of LC, 20 studies provided data including all causes of LC, two studies for alcohol-related LC, one study for HCV-induced LC, and one study for alcohol-related LC and HCV-induced LC combined. In the risk-of-bias assessment, 10 studies had a moderate score, six studies had a serious score, and eight studies had a critical score.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flow-chart of the study selection process.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fgstr-01-1005729-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Characteristics of the included studies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Authors</th>
<th valign="top" rowspan="2" align="center">Year</th>
<th valign="top" rowspan="2" align="center">Country</th>
<th valign="top" rowspan="2" align="center">Study design</th>
<th valign="top" rowspan="2" align="center">FU- years</th>
<th valign="top" rowspan="2" align="center">N</th>
<th valign="top" rowspan="2" align="center">Female (%)</th>
<th valign="top" rowspan="2" align="center">Cause LC</th>
<th valign="top" rowspan="2" align="center">Alcohol use in g/day: n</th>
<th valign="top" rowspan="2" align="center">Relative risk*</th>
<th valign="top" rowspan="2" align="center">CI 95% lower</th>
<th valign="top" rowspan="2" align="center">CI 95% upper</th>
<th valign="top" rowspan="2" align="center">Adjusted</th>
<th/>
<th valign="top" colspan="2" align="center">Outcome</th>
<th valign="top" align="center">Quality score</th>
</tr>
<tr>
<th>
</th>
<th valign="top" align="center">Category</th>
<th valign="top" align="center">P (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="2" align="left">Alemy-Carreau et&#xa0;al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" rowspan="2" align="center">1996</td>
<td valign="top" rowspan="2" align="left">France</td>
<td valign="top" rowspan="2" align="left">Case-control</td>
<td valign="top" rowspan="2" align="center">N.A.</td>
<td valign="top" rowspan="2" align="center">221</td>
<td valign="top" rowspan="2" align="left">0</td>
<td valign="top" rowspan="2" align="left">ALD + HCV</td>
<td valign="top" align="left">0 g/d: 24</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="left">&#x2003;&#x2003;&#x2013;</td>
<td valign="top" align="left">&#x2003;&#x2003;&#x2013;</td>
<td valign="top" rowspan="2" align="left">No</td>
<td/>
<td valign="top" align="left">Cirrhosis</td>
<td valign="top" rowspan="2" align="center">101 (46%)</td>
<td valign="top" rowspan="1" align="left">Critical</td>
</tr>
<tr>
<td valign="top" align="left">100 g/d: 197</td>
<td valign="top" align="left">121.1</td>
<td valign="top" align="center">49.4</td>
<td valign="top" align="center">298.9</td>
</tr>
<tr>
<td valign="top" rowspan="7" align="left">Askgaard et&#xa0;al. (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" rowspan="7" align="center">2015</td>
<td valign="top" rowspan="7" align="left">Denmark</td>
<td valign="top" rowspan="7" align="left">Cohort</td>
<td valign="top" rowspan="7" align="center">15</td>
<td valign="top" rowspan="7" align="center">55,917</td>
<td valign="top" rowspan="7" align="left">52</td>
<td valign="top" rowspan="7" align="left">ALD</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" rowspan="7" align="left">Yes</td>
<td/>
<td valign="top" rowspan="5" align="left">Cirrhosis and LC mortality</td>
<td valign="top" rowspan="7" align="center">257 (1%)</td>
<td valign="top" rowspan="1" align="left">Serious</td>
</tr>
<tr>
<td valign="top" align="left">0-24 g/d: 15,028</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">24-48 g/d: 6,800</td>
<td valign="top" align="left">2.33</td>
<td valign="top" align="center">1.52</td>
<td valign="top" align="center">3.58</td>
</tr>
<tr>
<td valign="top" align="left">48-72 g/d: 2,774</td>
<td valign="top" align="left">6.98</td>
<td valign="top" align="center">4.65</td>
<td valign="top" align="center">10.5</td>
</tr>
<tr>
<td valign="top" align="left">72-96 g/d: 1,062</td>
<td valign="top" align="left">13.12</td>
<td valign="top" align="center">8.51</td>
<td valign="top" align="center">20.23</td>
</tr>
<tr>
<td valign="top" align="left">96-120 g/d: 445</td>
<td valign="top" align="left">29.03</td>
<td valign="top" align="center">18.63</td>
<td valign="top" align="center">45.24</td>
</tr>
<tr>
<td valign="top" align="left">&gt;120 g/d: 174</td>
<td valign="top" align="left">50</td>
<td valign="top" align="center">30.12</td>
<td valign="top" align="center">82.96</td>
</tr>
<tr>
<td valign="top" rowspan="5" align="left">&#xa0;</td>
<td valign="top" rowspan="5" align="center"/>
<td valign="top" rowspan="5" align="left">&#xa0;</td>
<td valign="top" rowspan="5" align="left">&#xa0;</td>
<td valign="top" rowspan="5" align="center"/>
<td valign="top" rowspan="5" align="center"/>
<td valign="top" rowspan="5" align="left">&#xa0;</td>
<td valign="top" rowspan="5" align="left">&#xa0;</td>
<td valign="top" align="left">Female</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" rowspan="5" align="left">&#xa0;</td>
<td valign="top" rowspan="3" align="left">&#xa0;</td>
<td valign="top" rowspan="5" align="center">
</td>
<td valign="top" rowspan="1" align="left">85 (0.3%)</td>
</tr>
<tr>
<td valign="top" align="left">0-24 g/d: 23,278</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">24-48 g/d: 4,242</td>
<td valign="top" align="left">3.49</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">6.12</td>
</tr>
<tr>
<td valign="top" align="left">48-72 g/d: 744</td>
<td valign="top" align="left">16.2</td>
<td valign="top" align="center">9.16</td>
<td valign="top" align="center">28.7</td>
</tr>
<tr>
<td valign="top" align="left">&gt;72 g/d: 222</td>
<td valign="top" align="left">21.57</td>
<td valign="top" align="center">10.38</td>
<td valign="top" align="center">44.84</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Batey et&#xa0;al. (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" rowspan="3" align="center">1992</td>
<td valign="top" rowspan="3" align="left">Australia</td>
<td valign="top" rowspan="3" align="left">Case-control</td>
<td valign="top" rowspan="3" align="center">N.A.</td>
<td valign="top" rowspan="3" align="center">158</td>
<td valign="top" rowspan="3" align="left">0</td>
<td valign="top" rowspan="3" align="left">All cause</td>
<td valign="top" align="left">&#x2264;40 g/d: 109</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" rowspan="3" align="left">No</td>
<td/>
<td valign="top" align="left">Cirrhosis</td>
<td valign="top" rowspan="3" align="center">43 (27%)</td>
<td valign="top" rowspan="1" align="left">Serious</td>
</tr>
<tr>
<td valign="top" align="left">41-80 g/d:23</td>
<td valign="top" align="left">8.8</td>
<td valign="top" align="center">3.2</td>
<td valign="top" align="center">24.3</td>
</tr>
<tr>
<td valign="top" align="left">&gt;80 g/d: 26</td>
<td valign="top" align="left">21.9</td>
<td valign="top" align="center">7.7</td>
<td valign="top" align="center">62.9</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">Becker et&#xa0;al. (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="top" rowspan="6" align="center">2002</td>
<td valign="top" rowspan="6" align="left">Denmark</td>
<td valign="top" rowspan="6" align="left">Cohort</td>
<td valign="top" rowspan="6" align="center">5</td>
<td valign="top" rowspan="6" align="center">30,630</td>
<td valign="top" rowspan="6" align="left">47</td>
<td valign="top" rowspan="6" align="left">ALD</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" rowspan="6" align="left">Yes</td>
<td/>
<td valign="top" rowspan="6" align="left">Cirrhosis and LC mortality</td>
<td valign="top" rowspan="6" align="center">212 (1%)</td>
<td valign="top" rowspan="1" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left">&lt;1.7 g/d</td>
<td valign="top" align="left">7.76</td>
<td valign="top" align="center">3.35</td>
<td valign="top" align="center">18</td>
</tr>
<tr>
<td valign="top" align="left">1.7-12 g/d</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">12-36 g/d</td>
<td valign="top" align="left">2.34</td>
<td valign="top" align="center">1.18</td>
<td valign="top" align="center">4.62</td>
</tr>
<tr>
<td valign="top" align="left">36-60 g/d</td>
<td valign="top" align="left">1.34</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="center">2.56</td>
</tr>
<tr>
<td valign="top" align="left">&gt;60 g/d</td>
<td valign="top" align="left">2.63</td>
<td valign="top" align="center">1.39</td>
<td valign="top" align="center">5</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">&#xa0;</td>
<td valign="top" rowspan="6" align="center"/>
<td valign="top" rowspan="6" align="left">&#xa0;</td>
<td valign="top" rowspan="6" align="left">&#xa0;</td>
<td valign="top" rowspan="6" align="center"/>
<td valign="top" rowspan="6" align="center"/>
<td valign="top" rowspan="6" align="left">&#xa0;</td>
<td valign="top" rowspan="6" align="left">&#xa0;</td>
<td valign="top" align="left">Female</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" rowspan="6" align="left">&#xa0;</td>
<td valign="top" rowspan="4" align="left">&#xa0;</td>
<td valign="top" rowspan="6" align="center">
</td>
<td valign="top" rowspan="1" align="left">80 (0.6%)</td>
</tr>
<tr>
<td valign="top" align="left">&lt;1.7 g/d</td>
<td valign="top" align="left">1.11</td>
<td valign="top" align="center">0.43</td>
<td valign="top" align="center">2.84</td>
</tr>
<tr>
<td valign="top" align="left">1.7-12 g/d</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">12-36 g/d</td>
<td valign="top" align="left">4.48</td>
<td valign="top" align="center">2.21</td>
<td valign="top" align="center">9.08</td>
</tr>
<tr>
<td valign="top" align="left">36-60 g/d</td>
<td valign="top" align="left">9.08</td>
<td valign="top" align="center">3.6</td>
<td valign="top" align="center">22.77</td>
</tr>
<tr>
<td valign="top" align="left">&gt;60 g/d</td>
<td valign="top" align="left">11.85</td>
<td valign="top" align="center">3.74</td>
<td valign="top" align="center">37.48</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">Blackwelder et&#xa0;al. (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" rowspan="4" align="center">1980</td>
<td valign="top" rowspan="4" align="left">USA</td>
<td valign="top" rowspan="4" align="left">Cohort</td>
<td valign="top" rowspan="4" align="center">4</td>
<td valign="top" rowspan="4" align="center">7888</td>
<td valign="top" rowspan="4" align="left">0</td>
<td valign="top" rowspan="4" align="left">All cause</td>
<td valign="top" align="left">0 g/d: 3,747</td>
<td valign="top" align="left">2.11</td>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center">17.49</td>
<td valign="top" rowspan="4" align="left">No</td>
<td/>
<td valign="top" align="left">LC mortality</td>
<td valign="top" rowspan="4" align="center">16 (0.2%)</td>
<td valign="top" rowspan="1" align="left">Serious</td>
</tr>
<tr>
<td valign="top" align="left">1-10 g/d: 1,316</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">11-30 g/d: 1,593</td>
<td valign="top" align="left">1.65</td>
<td valign="top" align="center">0.15</td>
<td valign="top" align="center">18.2</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;30 g/d: 1,232</td>
<td valign="top" align="left">7.48</td>
<td valign="top" align="center">0.92</td>
<td valign="top" align="center">60.69</td>
</tr>
<tr>
<td valign="top" rowspan="7" align="left">Boffetta et&#xa0;al. (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" rowspan="7" align="center">1990</td>
<td valign="top" rowspan="7" align="left">USA</td>
<td valign="top" rowspan="7" align="left">Cohort</td>
<td valign="top" rowspan="7" align="center">12</td>
<td valign="top" rowspan="7" align="center">276,802</td>
<td valign="top" rowspan="7" align="left">0</td>
<td valign="top" rowspan="7" align="left">All cause</td>
<td valign="top" align="left">0 g/d: 153,043</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" rowspan="7" align="left">Yes</td>
<td/>
<td valign="top" rowspan="6" align="left">LC mortality</td>
<td valign="top" rowspan="7" align="center">687 (0.2%)</td>
<td valign="top" rowspan="1" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left">14 g/d: 33,229</td>
<td valign="top" align="left">1.21</td>
<td valign="top" align="center">0.86</td>
<td valign="top" align="center">1.69</td>
</tr>
<tr>
<td valign="top" align="left">28 g/d: 23,558</td>
<td valign="top" align="left">3.15</td>
<td valign="top" align="center">2.39</td>
<td valign="top" align="center">4.16</td>
</tr>
<tr>
<td valign="top" align="left">42 g/d: 11,257</td>
<td valign="top" align="left">5.39</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">7.26</td>
</tr>
<tr>
<td valign="top" align="left">56 g/d: 7,309</td>
<td valign="top" align="left">8.67</td>
<td valign="top" align="center">6.45</td>
<td valign="top" align="center">11.6</td>
</tr>
<tr>
<td valign="top" align="left">70 g/d: 3,368</td>
<td valign="top" align="left">10.6</td>
<td valign="top" align="center">7.36</td>
<td valign="top" align="center">15.3</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;84 g/d: 7,698</td>
<td valign="top" align="left">18.1</td>
<td valign="top" align="center">14.1</td>
<td valign="top" align="center">23.2</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">Corrao et&#xa0;al. (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" rowspan="6" align="center">1993</td>
<td valign="top" rowspan="6" align="left">Italy</td>
<td valign="top" rowspan="6" align="left">Case-control</td>
<td valign="top" rowspan="6" align="center">N.A.</td>
<td valign="top" rowspan="6" align="center">640</td>
<td valign="top" rowspan="6" align="left">35</td>
<td valign="top" rowspan="6" align="left">All cause</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" rowspan="6" align="left">Yes</td>
<td/>
<td valign="top" rowspan="6" align="left">Cirrhosis</td>
<td valign="top" rowspan="6" align="center">207 (50%)</td>
<td valign="top" rowspan="1" align="left">Serious</td>
</tr>
<tr>
<td valign="top" align="left">LTA: 28</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">25 or 50 g/d: 58</td>
<td valign="top" align="left">1.4</td>
<td valign="top" align="center">0.6</td>
<td valign="top" align="center">3.1</td>
</tr>
<tr>
<td valign="top" align="left">75 or 100 g/d: 98</td>
<td valign="top" align="left">1.6</td>
<td valign="top" align="center">0.7</td>
<td valign="top" align="center">3.8</td>
</tr>
<tr>
<td valign="top" align="left">125 or 150 g/d: 95</td>
<td valign="top" align="left">2.1</td>
<td valign="top" align="center">0.9</td>
<td valign="top" align="center">4.7</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;175 g/d: 135</td>
<td valign="top" align="left">4.9</td>
<td valign="top" align="center">2.2</td>
<td valign="top" align="center">10.9</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">&#xa0;</td>
<td valign="top" rowspan="6" align="center"/>
<td valign="top" rowspan="6" align="left">&#xa0;</td>
<td valign="top" rowspan="6" align="left">&#xa0;</td>
<td valign="top" rowspan="6" align="center"/>
<td valign="top" rowspan="6" align="center"/>
<td valign="top" rowspan="6" align="left">&#xa0;</td>
<td valign="top" rowspan="6" align="left">&#xa0;</td>
<td valign="top" align="left">Female</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" rowspan="6" align="left">&#xa0;</td>
<td valign="top" rowspan="5" align="left">&#xa0;</td>
<td valign="top" rowspan="6" align="center">
</td>
<td valign="top" rowspan="1" align="left">113 (50%)</td>
</tr>
<tr>
<td valign="top" align="left">LTA: 62</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">25 or 50 g/d: 82</td>
<td valign="top" align="left">0.5</td>
<td valign="top" align="center">0.2</td>
<td valign="top" align="center">0.8</td>
</tr>
<tr>
<td valign="top" align="left">75 or 100 g/d: 38</td>
<td valign="top" align="left">1.4</td>
<td valign="top" align="center">0.6</td>
<td valign="top" align="center">3.2</td>
</tr>
<tr>
<td valign="top" align="left">125 or 150 g/d: 26</td>
<td valign="top" align="left">2.6</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">6.5</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;175 g/d: 18</td>
<td valign="top" align="left">8.7</td>
<td valign="top" align="center">2.3</td>
<td valign="top" align="center">33</td>
</tr>
<tr>
<td valign="top" rowspan="5" align="left">Corrao et&#xa0;al. (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="top" rowspan="5" align="center">1997</td>
<td valign="top" rowspan="5" align="left">Italy</td>
<td valign="top" rowspan="5" align="left">Case-control</td>
<td valign="top" rowspan="5" align="center">N.A.</td>
<td valign="top" rowspan="5" align="center">1,113</td>
<td valign="top" rowspan="5" align="left">41</td>
<td valign="top" rowspan="5" align="left">All cause</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" rowspan="5" align="left">Yes</td>
<td/>
<td valign="top" rowspan="5" align="left">Cirrhosis</td>
<td valign="top" rowspan="5" align="center">300 (46%)</td>
<td valign="top" rowspan="1" align="left">Serious</td>
</tr>
<tr>
<td valign="top" align="left">LTA: 48</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">&lt;50 g/d: 255</td>
<td valign="top" align="left">1.9</td>
<td valign="top" align="center">0.62</td>
<td valign="top" align="center">5.8</td>
</tr>
<tr>
<td valign="top" align="left">50-100 g/d: 132</td>
<td valign="top" align="left">9.1</td>
<td valign="top" align="center">2.94</td>
<td valign="top" align="center">28.18</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;100 g/d: 220</td>
<td valign="top" align="left">31.4</td>
<td valign="top" align="center">10.3</td>
<td valign="top" align="center">95.76</td>
</tr>
<tr>
<td valign="top" rowspan="5" align="left">&#xa0;</td>
<td valign="top" rowspan="5" align="center"/>
<td valign="top" rowspan="5" align="left">&#xa0;</td>
<td valign="top" rowspan="5" align="left">&#xa0;</td>
<td valign="top" rowspan="5" align="center"/>
<td valign="top" rowspan="5" align="center"/>
<td valign="top" rowspan="5" align="left">&#xa0;</td>
<td valign="top" rowspan="5" align="left">&#xa0;</td>
<td valign="top" align="left">Female</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" rowspan="5" align="left">&#xa0;</td>
<td valign="top" rowspan="6" align="left">&#xa0;</td>
<td valign="top" rowspan="5" align="center">
</td>
<td valign="top" rowspan="1" align="left">162 (35%)</td>
</tr>
<tr>
<td valign="top" align="left">LTA: 104</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">&lt;50 g/d: 306</td>
<td valign="top" align="left">2.09</td>
<td valign="top" align="center">0.69</td>
<td valign="top" align="center">6.3</td>
</tr>
<tr>
<td valign="top" align="left">50-100 g/d: 35</td>
<td valign="top" align="left">7.5</td>
<td valign="top" align="center">3.46</td>
<td valign="top" align="center">16.25</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;100 g/d: 13</td>
<td valign="top" align="left">20.36</td>
<td valign="top" align="center">6.3</td>
<td valign="top" align="center">65.79</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">Fuchs et&#xa0;al. (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" rowspan="6" align="center">1995</td>
<td valign="top" rowspan="6" align="left">USA</td>
<td valign="top" rowspan="6" align="left">Cohort</td>
<td valign="top" rowspan="6" align="center">12</td>
<td valign="top" rowspan="6" align="center">85,709</td>
<td valign="top" rowspan="6" align="left">100</td>
<td valign="top" rowspan="6" align="left">All cause</td>
<td valign="top" align="left">0 g/d: 25535</td>
<td valign="top" align="left">4.76</td>
<td valign="top" align="center">1.66</td>
<td valign="top" align="center">39.29</td>
<td valign="top" rowspan="6" align="left">Yes</td>
<td valign="top" align="left">LC mortality</td>
<td valign="top" rowspan="6" align="center">52 (0.06%)</td>
<td valign="top" rowspan="1" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left">0.1-1.4 g/d: 11304</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">1.5-4.9 g/d: 18460</td>
<td valign="top" align="left">3.29</td>
<td valign="top" align="center">1.14</td>
<td valign="top" align="center">9.43</td>
</tr>
<tr>
<td valign="top" align="left">5-14.9 g/d: 17783</td>
<td valign="top" align="left">6.05</td>
<td valign="top" align="center">2.57</td>
<td valign="top" align="center">14.33</td>
</tr>
<tr>
<td valign="top" align="left">15-29.9 g/d: 8106</td>
<td valign="top" align="left">8.86</td>
<td valign="top" align="center">3.62</td>
<td valign="top" align="center">21.86</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;30 g/d: 4521</td>
<td valign="top" align="left">12.14</td>
<td valign="top" align="center">5.05</td>
<td valign="top" align="center">29.1</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">Garfinkel et&#xa0;al. (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" rowspan="6" align="center">1988</td>
<td valign="top" rowspan="6" align="left">USA</td>
<td valign="top" rowspan="6" align="left">Cohort</td>
<td valign="top" rowspan="6" align="center">12</td>
<td valign="top" rowspan="6" align="center">581,321</td>
<td valign="top" rowspan="6" align="left">100</td>
<td valign="top" rowspan="6" align="left">All cause</td>
<td valign="top" align="left">LTA: 467,382</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" rowspan="6" align="left">No</td>
<td/>
<td valign="top" align="left">LC mortality</td>
<td valign="top" rowspan="6" align="center">589 (0.01%)</td>
<td valign="top" rowspan="1" align="left">Critical</td>
</tr>
<tr>
<td valign="top" align="left">14 g/d: 20,000</td>
<td valign="top" align="left">2.46</td>
<td valign="top" align="center">1.87</td>
<td valign="top" align="center">3.25</td>
</tr>
<tr>
<td valign="top" align="left">28 g/d:13,000</td>
<td valign="top" align="left">7.4</td>
<td valign="top" align="center">5.9</td>
<td valign="top" align="center">9.27</td>
</tr>
<tr>
<td valign="top" align="left">49 g/d: 10,000</td>
<td valign="top" align="left">14.21</td>
<td valign="top" align="center">10.77</td>
<td valign="top" align="center">18.75</td>
</tr>
<tr>
<td valign="top" align="left">77 g/d: 12,000</td>
<td valign="top" align="left">16.7</td>
<td valign="top" align="center">12.1</td>
<td valign="top" align="center">23.04</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;84 g/d: 2,000</td>
<td valign="top" align="left">28.29</td>
<td valign="top" align="center">20.21</td>
<td valign="top" align="center">39.59</td>
</tr>
<tr>
<td valign="top" rowspan="7" align="left">Gordon et&#xa0;al. (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" rowspan="7" align="center">1984</td>
<td valign="top" rowspan="7" align="left">USA</td>
<td valign="top" rowspan="7" align="left">Cohort</td>
<td valign="top" rowspan="7" align="center">22</td>
<td valign="top" rowspan="7" align="center">4747</td>
<td valign="top" rowspan="7" align="left">56</td>
<td valign="top" rowspan="7" align="left">All cause</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" rowspan="7" align="left">No</td>
<td/>
<td valign="top" rowspan="4" align="left">LC mortality</td>
<td valign="top" rowspan="7" align="center">14 (0.7%)</td>
<td valign="top" rowspan="1" align="left">Critical</td>
</tr>
<tr>
<td valign="top" align="left">0 g/d: 402</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">0.7-20 g/d: 1107</td>
<td valign="top" align="left">1.45</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="center">12.96</td>
</tr>
<tr>
<td valign="top" align="left">21-41 g/d: 344</td>
<td valign="top" align="left">3.51</td>
<td valign="top" align="center">0.37</td>
<td valign="top" align="center">33.55</td>
</tr>
<tr>
<td valign="top" align="left">41-61 g/d: 131</td>
<td valign="top" align="left">9.21</td>
<td valign="top" align="center">0.97</td>
<td valign="top" align="center">87.75</td>
</tr>
<tr>
<td valign="top" align="left">62-82 g/d: 50</td>
<td valign="top" align="left">8.04</td>
<td valign="top" align="center">0.51</td>
<td valign="top" align="center">126.55</td>
</tr>
<tr>
<td valign="top" align="left">83-248 g/d: 72</td>
<td valign="top" align="left">11.17</td>
<td valign="top" align="center">1.03</td>
<td valign="top" align="center">121.55</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">&#xa0;</td>
<td valign="top" rowspan="4" align="center"/>
<td valign="top" rowspan="4" align="left">&#xa0;</td>
<td valign="top" rowspan="4" align="left">&#xa0;</td>
<td valign="top" rowspan="4" align="center"/>
<td valign="top" rowspan="4" align="center"/>
<td valign="top" rowspan="4" align="left">&#xa0;</td>
<td valign="top" rowspan="4" align="left">&#xa0;</td>
<td valign="top" align="left">Female</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" rowspan="4" align="left">&#xa0;</td>
<td valign="top" rowspan="5" align="left">&#xa0;</td>
<td valign="top" rowspan="4" align="center"/>
<td valign="top" rowspan="1" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">0-7-20 g/d: 2434</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">21-61 g/d: 191</td>
<td valign="top" align="left">1.59</td>
<td valign="top" align="center">0.2</td>
<td valign="top" align="center">12.67</td>
</tr>
<tr>
<td valign="top" align="left">62 g/d-248 g/d: 16</td>
<td valign="top" align="left">19</td>
<td valign="top" align="center">2.52</td>
<td valign="top" align="center">143.34</td>
</tr>
<tr>
<td valign="top" rowspan="5" align="left">Gordon et&#xa0;al. (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" rowspan="5" align="center">1987</td>
<td valign="top" rowspan="5" align="left">USA</td>
<td valign="top" rowspan="5" align="left">Cohort</td>
<td valign="top" rowspan="5" align="center">28</td>
<td valign="top" rowspan="5" align="center">1,762</td>
<td valign="top" rowspan="5" align="left">0</td>
<td valign="top" rowspan="5" align="left">All cause</td>
<td valign="top" align="left">0 g/d: 585</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" rowspan="5" align="left">No</td>
<td valign="top" align="left">LC mortality</td>
<td valign="top" rowspan="5" align="center">15 (0.9%)</td>
<td valign="top" rowspan="1" align="left">Critical</td>
</tr>
<tr>
<td valign="top" align="left">0.7-20 g/d: 842</td>
<td valign="top" align="left">0.52</td>
<td valign="top" align="center">0.12</td>
<td valign="top" align="center">2.32</td>
</tr>
<tr>
<td valign="top" align="left">21-41 g/d: 175</td>
<td valign="top" align="left">2.51</td>
<td valign="top" align="center">0.57</td>
<td valign="top" align="center">11.1</td>
</tr>
<tr>
<td valign="top" align="left">41-61 g//d: 100</td>
<td valign="top" align="left">2.93</td>
<td valign="top" align="center">0.54</td>
<td valign="top" align="center">15.76</td>
</tr>
<tr>
<td valign="top" align="left">&gt; 62 g/d: 60</td>
<td valign="top" align="left">7.31</td>
<td valign="top" align="center">1.68</td>
<td valign="top" align="center">31.91</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">Im et&#xa0;al. (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" rowspan="6" align="center">2021</td>
<td valign="top" rowspan="6" align="left">China</td>
<td valign="top" rowspan="6" align="left">Cohort</td>
<td valign="top" rowspan="6" align="center">10.1</td>
<td valign="top" rowspan="6" align="center">218,341</td>
<td valign="top" rowspan="6" align="left">59</td>
<td valign="top" rowspan="6" align="left">All cause</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" rowspan="6" align="left">Yes</td>
<td/>
<td valign="top" rowspan="3" align="left">Cirrhosis</td>
<td valign="top" rowspan="6" align="center">1210 (1%)</td>
<td valign="top" rowspan="1" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left">1 g/d: 117,072</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">&lt;20 g/d: 24,171</td>
<td valign="top" align="left">1.29</td>
<td valign="top" align="center">1.06</td>
<td valign="top" align="center">1.57</td>
</tr>
<tr>
<td valign="top" align="left">20-40 g/d: 18,182</td>
<td valign="top" align="left">2.47</td>
<td valign="top" align="center">2.1</td>
<td valign="top" align="center">2.91</td>
</tr>
<tr>
<td valign="top" align="left">40-60 g/d: 12,318</td>
<td valign="top" align="left">3.13</td>
<td valign="top" align="center">2.59</td>
<td valign="top" align="center">3.79</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265; 60 g/d: 12,318</td>
<td valign="top" align="left">8.15</td>
<td valign="top" align="center">7.04</td>
<td valign="top" align="center">9.43</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">&#xa0;</td>
<td valign="top" rowspan="3" align="center"/>
<td valign="top" rowspan="3" align="left">&#xa0;</td>
<td valign="top" rowspan="3" align="left">&#xa0;</td>
<td valign="top" rowspan="3" align="center"/>
<td valign="top" rowspan="3" align="center"/>
<td valign="top" rowspan="3" align="left">&#xa0;</td>
<td valign="top" rowspan="3" align="left">&#xa0;</td>
<td valign="top" align="left">Female</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" rowspan="3" align="left">&#xa0;</td>
<td valign="top" rowspan="3" align="left">&#xa0;</td>
<td/>
<td valign="top" rowspan="3" align="center">946 (3%)</td>
<td valign="top" rowspan="1" align="left">&#xa0;</td>
</tr>
<tr>
<td valign="top" align="left">1 g/d: 28,396</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">16 g/d: 5,896</td>
<td valign="top" align="left">1.09</td>
<td valign="top" align="center">0.71</td>
<td valign="top" align="center">1.68</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Khan et&#xa0;al. (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" rowspan="3" align="center">2000</td>
<td valign="top" rowspan="3" align="left">Japan</td>
<td valign="top" rowspan="3" align="left">Case-control</td>
<td valign="top" rowspan="3" align="center">N.A.</td>
<td valign="top" rowspan="3" align="center">106</td>
<td valign="top" rowspan="3" align="left">0</td>
<td valign="top" rowspan="3" align="left">HCV</td>
<td valign="top" align="left">0 g/d: 40</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" rowspan="3" align="left">No</td>
<td/>
<td valign="top" align="left">Cirrhosis</td>
<td valign="top" rowspan="3" align="center">54 (51%)</td>
<td valign="top" rowspan="1" align="left">Critical</td>
</tr>
<tr>
<td valign="top" align="left">&lt;80 g/d: 42</td>
<td valign="top" align="left">6</td>
<td valign="top" align="center">2.29</td>
<td valign="top" align="center">15.69</td>
</tr>
<tr>
<td valign="top" align="left">&gt;80 g/d: 24</td>
<td valign="top" align="left">6</td>
<td valign="top" align="center">1.98</td>
<td valign="top" align="center">18.21</td>
</tr>
<tr>
<td valign="top" rowspan="7" align="left">Klatsky et&#xa0;al. (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" rowspan="7" align="center">2003</td>
<td valign="top" rowspan="7" align="left">USA</td>
<td valign="top" rowspan="7" align="left">Cohort</td>
<td valign="top" rowspan="7" align="center">20</td>
<td valign="top" rowspan="7" align="center">128,934</td>
<td valign="top" rowspan="7" align="left">56</td>
<td valign="top" rowspan="7" align="left">All cause</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" rowspan="7" align="left">No</td>
<td/>
<td valign="top" rowspan="7" align="left">LC mortality</td>
<td valign="top" rowspan="7" align="center">146 (0.3%)</td>
<td valign="top" rowspan="1" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left">LTA: 4,125</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">&lt;0.5 g/d: 8,105</td>
<td valign="top" align="left">0.7</td>
<td valign="top" align="center">0.32</td>
<td valign="top" align="center">1.53</td>
</tr>
<tr>
<td valign="top" align="left">&lt;14 g/d: 21,264</td>
<td valign="top" align="left">0.5</td>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center">1.02</td>
</tr>
<tr>
<td valign="top" align="left">14-28 g/d: 13,512</td>
<td valign="top" align="left">1.3</td>
<td valign="top" align="center">0.68</td>
<td valign="top" align="center">2.48</td>
</tr>
<tr>
<td valign="top" align="left">42-70 g/d: 5,905</td>
<td valign="top" align="left">3.3</td>
<td valign="top" align="center">1.7</td>
<td valign="top" align="center">6.4</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;84 g/d: 1,535</td>
<td valign="top" align="left">8.3</td>
<td valign="top" align="center">3.97</td>
<td valign="top" align="center">17.34</td>
</tr>
<tr>
<td valign="top" rowspan="7" align="left">&#xa0;</td>
<td valign="top" rowspan="7" align="center"/>
<td valign="top" rowspan="7" align="left">&#xa0;</td>
<td valign="top" rowspan="7" align="left">&#xa0;</td>
<td valign="top" rowspan="7" align="center"/>
<td valign="top" rowspan="7" align="center"/>
<td valign="top" rowspan="7" align="left">&#xa0;</td>
<td valign="top" rowspan="7" align="left">&#xa0;</td>
<td valign="top" align="left">Female</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" rowspan="7" align="left">&#xa0;</td>
<td valign="top" rowspan="3" align="left">&#xa0;</td>
<td valign="top" rowspan="7" align="center">
</td>
<td valign="top" rowspan="1" align="left">86 (0.1%)</td>
</tr>
<tr>
<td valign="top" align="left">LTA: 11,373</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">&lt;0.5 g/d: 19,312</td>
<td valign="top" align="left">1.2</td>
<td valign="top" align="center">0.42</td>
<td valign="top" align="center">3.42</td>
</tr>
<tr>
<td valign="top" align="left">&lt;14 g/d: 26,631</td>
<td valign="top" align="left">2.5</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">6.26</td>
</tr>
<tr>
<td valign="top" align="left">14-28 g/d: 9,896</td>
<td valign="top" align="left">4.7</td>
<td valign="top" align="center">2.02</td>
<td valign="top" align="center">10.95</td>
</tr>
<tr>
<td valign="top" align="left">42-70 g/d: 2,523</td>
<td valign="top" align="left">14.2</td>
<td valign="top" align="center">5.94</td>
<td valign="top" align="center">33.96</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;84 g/d: 469</td>
<td valign="top" align="left">15.2</td>
<td valign="top" align="center">5.81</td>
<td valign="top" align="center">39.76</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Kono et&#xa0;al. (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" rowspan="3" align="center">1986</td>
<td valign="top" rowspan="3" align="left">Japan</td>
<td valign="top" rowspan="3" align="left">Cohort</td>
<td valign="top" rowspan="3" align="center">18</td>
<td valign="top" rowspan="3" align="center">5,135</td>
<td valign="top" rowspan="3" align="left">0</td>
<td valign="top" rowspan="3" align="left">All cause</td>
<td valign="top" align="left">LTA: 1,074</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" rowspan="3" align="left">Yes</td>
<td/>
<td valign="top" align="left">LC mortality</td>
<td valign="top" rowspan="3" align="center">43 (0.8%)</td>
<td valign="top" rowspan="1" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left">&lt;27 g/d: 1,034</td>
<td valign="top" align="left">0.3</td>
<td valign="top" align="center">0.1</td>
<td valign="top" align="center">1.1</td>
</tr>
<tr>
<td valign="top" align="left">&gt;27 g/d: 925</td>
<td valign="top" align="left">1.8</td>
<td valign="top" align="center">0.8</td>
<td valign="top" align="center">4</td>
</tr>
<tr>
<td valign="top" rowspan="5" align="left">Liu et&#xa0;al. (<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td valign="top" rowspan="5" align="center">2009</td>
<td valign="top" rowspan="5" align="left">UK</td>
<td valign="top" rowspan="5" align="left">Cohort</td>
<td valign="top" rowspan="5" align="center">6</td>
<td valign="top" rowspan="5" align="center">1,290,413</td>
<td valign="top" rowspan="5" align="left">100</td>
<td valign="top" rowspan="5" align="left">All cause</td>
<td valign="top" align="left">0 g/d: 305,652</td>
<td valign="top" align="left">1.41</td>
<td valign="top" align="center">1.23</td>
<td valign="top" align="center">1.61</td>
<td valign="top" rowspan="5" align="left">Yes</td>
<td/>
<td valign="top" rowspan="2" align="left">Cirrhosis and LC mortality</td>
<td valign="top" rowspan="5" align="center">2105 (0.2%)</td>
<td valign="top" rowspan="1" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left">1-2 g/d:372,065</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">3-7 g/d:294,353</td>
<td valign="top" align="left">1.24</td>
<td valign="top" align="center">1.08</td>
<td valign="top" align="center">1.44</td>
</tr>
<tr>
<td valign="top" align="left">8-16 g/d: 241,307</td>
<td valign="top" align="left">1.84</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">2.11</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;17 g/d: 67,360</td>
<td valign="top" align="left">4.32</td>
<td valign="top" align="center">3.71</td>
<td valign="top" align="center">5.03</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Norton et&#xa0;al. (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="top" rowspan="2" align="center">1987</td>
<td valign="top" rowspan="2" align="left">Australia</td>
<td valign="top" rowspan="2" align="left">Case-control</td>
<td valign="top" rowspan="2" align="center">N.A.</td>
<td valign="top" rowspan="2" align="center">135</td>
<td valign="top" rowspan="2" align="left">100</td>
<td valign="top" rowspan="2" align="left">All cause</td>
<td valign="top" align="left">&lt;40 g/d: 102</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" rowspan="2" align="left">No</td>
<td/>
<td valign="top" align="left">Cirrhosis</td>
<td valign="top" rowspan="2" align="center">36 (27%)</td>
<td valign="top" rowspan="1" align="left">Critical</td>
</tr>
<tr>
<td valign="top" align="left">&gt;40 g/d: 33</td>
<td valign="top" align="left">784</td>
<td valign="top" align="center">84.52</td>
<td valign="top" align="center">7272.06</td>
</tr>
<tr>
<td valign="top" rowspan="8" align="left">Pequignot et&#xa0;al. (<xref ref-type="bibr" rid="B39">39</xref>)</td>
<td valign="top" rowspan="8" align="center">1978</td>
<td valign="top" rowspan="8" align="left">France</td>
<td valign="top" rowspan="8" align="left">Case-control</td>
<td valign="top" rowspan="8" align="center">N.A.</td>
<td valign="top" rowspan="8" align="center">962</td>
<td valign="top" rowspan="8" align="left">0</td>
<td valign="top" rowspan="8" align="left">All cause</td>
<td valign="top" align="left">0-20 g/d: 188</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" rowspan="8" align="left">Yes</td>
<td/>
<td valign="top" rowspan="3" align="left">Cirrhosis</td>
<td valign="top" rowspan="8" align="center">184 (19%)</td>
<td valign="top" rowspan="1" align="left">Serious</td>
</tr>
<tr>
<td valign="top" align="left">21-40 g/d: 222</td>
<td valign="top" align="left">3.1</td>
<td valign="top" align="center">0.84</td>
<td valign="top" align="center">11.42</td>
</tr>
<tr>
<td valign="top" align="left">41-60 g/d: 180</td>
<td valign="top" align="left">6.2</td>
<td valign="top" align="center">1.76</td>
<td valign="top" align="center">21.83</td>
</tr>
<tr>
<td valign="top" align="left">61-80 g/d: 132</td>
<td valign="top" align="left">13.8</td>
<td valign="top" align="center">4.06</td>
<td valign="top" align="center">46.92</td>
</tr>
<tr>
<td valign="top" align="left">81-100 g/d: 88</td>
<td valign="top" align="left">29.6</td>
<td valign="top" align="center">8.71</td>
<td valign="top" align="center">100.55</td>
</tr>
<tr>
<td valign="top" align="left">101-120 g/d: 54</td>
<td valign="top" align="left">41</td>
<td valign="top" align="center">11.61</td>
<td valign="top" align="center">144.83</td>
</tr>
<tr>
<td valign="top" align="left">121-140 g/d: 38</td>
<td valign="top" align="left">124.3</td>
<td valign="top" align="center">33.1</td>
<td valign="top" align="center">466.75</td>
</tr>
<tr>
<td valign="top" align="left">&gt;141 g/d: 60</td>
<td valign="top" align="left">659.3</td>
<td valign="top" align="center">159.57</td>
<td valign="top" align="center">2723.98</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Schult et&#xa0;al. (<xref ref-type="bibr" rid="B40">40</xref>)</td>
<td valign="top" rowspan="3" align="center">2017</td>
<td valign="top" rowspan="3" align="left">Sweden</td>
<td valign="top" rowspan="3" align="left">Cohort</td>
<td valign="top" rowspan="3" align="center">33</td>
<td valign="top" rowspan="3" align="center">1,462</td>
<td valign="top" rowspan="3" align="left">100</td>
<td valign="top" rowspan="3" align="left">All cause</td>
<td valign="top" align="left">0 g/d</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" rowspan="3" align="left">No</td>
<td/>
<td valign="top" align="left">Cirrhosis</td>
<td valign="top" rowspan="3" align="center">11 (0.8%)</td>
<td valign="top" rowspan="1" align="left">Critical</td>
</tr>
<tr>
<td valign="top" align="left">10 g/d</td>
<td valign="top" align="left">2.16</td>
<td valign="top" align="center">1.57</td>
<td valign="top" align="center">2.99</td>
</tr>
<tr>
<td valign="top" align="left">30 g/d</td>
<td valign="top" align="left">10.08</td>
<td valign="top" align="center">3.87</td>
<td valign="top" align="center">26.73</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">Stroffolini et&#xa0;al. (<xref ref-type="bibr" rid="B41">41</xref>)</td>
<td valign="top" rowspan="4" align="center">2010</td>
<td valign="top" rowspan="4" align="left">Italy</td>
<td valign="top" rowspan="4" align="left">Case-control</td>
<td valign="top" rowspan="4" align="center">N.A.</td>
<td valign="top" rowspan="4" align="center">397</td>
<td valign="top" rowspan="4" align="left">34</td>
<td valign="top" rowspan="4" align="left">All cause</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" rowspan="4" align="left">No</td>
<td/>
<td valign="top" rowspan="4" align="left">Cirrhosis</td>
<td valign="top" rowspan="4" align="center">111 (14%)</td>
<td valign="top" rowspan="1" align="left">Critical</td>
</tr>
<tr>
<td valign="top" align="left">12-24 g/d: 215</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">36 g/d: 56</td>
<td valign="top" align="left">1.2</td>
<td valign="top" align="center">0.5</td>
<td valign="top" align="center">2.9</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;36 g/d: 239</td>
<td valign="top" align="left">4.3</td>
<td valign="top" align="center">2.5</td>
<td valign="top" align="center">7.3</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">&#xa0;</td>
<td valign="top" rowspan="4" align="center"/>
<td valign="top" rowspan="4" align="left">&#xa0;</td>
<td valign="top" rowspan="4" align="left">&#xa0;</td>
<td valign="top" rowspan="4" align="center"/>
<td valign="top" rowspan="4" align="center"/>
<td valign="top" rowspan="4" align="left">&#xa0;</td>
<td valign="top" rowspan="4" align="left">&#xa0;</td>
<td valign="top" align="left">Female</td>
<td valign="top" align="left">&#xa0;</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" rowspan="4" align="left">&#xa0;</td>
<td valign="top" rowspan="6" align="left">&#xa0;</td>
<td valign="top" rowspan="4" align="center">
</td>
<td valign="top" rowspan="1" align="left">26 (3%)</td>
</tr>
<tr>
<td valign="top" align="left">12-24 g/d: 204</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">36 g/d: 18</td>
<td valign="top" align="left">0.8</td>
<td valign="top" align="center">0.1</td>
<td valign="top" align="center">6.5</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;36 g/d: 37</td>
<td valign="top" align="left">5.7</td>
<td valign="top" align="center">2.3</td>
<td valign="top" align="center">14.5</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">Yang et&#xa0;al. (<xref ref-type="bibr" rid="B42">42</xref>)</td>
<td valign="top" rowspan="6" align="center">2012</td>
<td valign="top" rowspan="6" align="left">China</td>
<td valign="top" rowspan="6" align="left">Cohort</td>
<td valign="top" rowspan="6" align="center">15</td>
<td valign="top" rowspan="6" align="center">218,189</td>
<td valign="top" rowspan="6" align="left">0</td>
<td valign="top" rowspan="6" align="left">ALD</td>
<td valign="top" align="left">0 g/d: 145,323</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" rowspan="6" align="left">Yes</td>
<td valign="top" rowspan="5" align="left">LC mortality</td>
<td valign="top" rowspan="6" align="center">418 (0.2%)</td>
<td valign="top" rowspan="1" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left">&lt;20 g/d: 14,208</td>
<td valign="top" align="left">1.12</td>
<td valign="top" align="center">0.76</td>
<td valign="top" align="center">1.64</td>
</tr>
<tr>
<td valign="top" align="left">20-40 g/d: 19,391</td>
<td valign="top" align="left">0.84</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">1.21</td>
</tr>
<tr>
<td valign="top" align="left">40-60 g/d: 18,681</td>
<td valign="top" align="left">1.16</td>
<td valign="top" align="center">0.85</td>
<td valign="top" align="center">1.56</td>
</tr>
<tr>
<td valign="top" align="left">60-100 g/d: 10,870</td>
<td valign="top" align="left">1.22</td>
<td valign="top" align="center">0.83</td>
<td valign="top" align="center">1.79</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;100 g/d: 9,716</td>
<td valign="top" align="left">1.74</td>
<td valign="top" align="center">1.22</td>
<td valign="top" align="center">2.48</td>
</tr>
<tr>
<td valign="top" rowspan="5" align="left">Yi et&#xa0;al. (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="top" rowspan="5" align="center">2016</td>
<td valign="top" rowspan="5" align="left">Korea</td>
<td valign="top" rowspan="5" align="left">Cohort</td>
<td valign="top" rowspan="5" align="center">6</td>
<td valign="top" rowspan="5" align="center">107,735</td>
<td valign="top" rowspan="5" align="left">0</td>
<td valign="top" rowspan="5" align="left">ALD</td>
<td valign="top" align="left">&lt;1.3 g/d: 34,435</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" rowspan="5" align="left">Yes</td>
<td/>
<td valign="top" rowspan="3" align="left">LC mortality</td>
<td valign="top" rowspan="5" align="center">178 (0.2%)</td>
<td valign="top" rowspan="1" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left">1.3-8 g/d: 31,341</td>
<td valign="top" align="left">1.32</td>
<td valign="top" align="center">0.81</td>
<td valign="top" align="center">2.18</td>
</tr>
<tr>
<td valign="top" align="left">9-17 g/d: 15,162</td>
<td valign="top" align="left">2.45</td>
<td valign="top" align="center">1.48</td>
<td valign="top" align="center">4.07</td>
</tr>
<tr>
<td valign="top" align="left">18-35 g/d: 15,764</td>
<td valign="top" align="left">2.77</td>
<td valign="top" align="center">1.71</td>
<td valign="top" align="center">4.5</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;36 g/d: 11,033</td>
<td valign="top" align="left">4.03</td>
<td valign="top" align="center">2.51</td>
<td valign="top" align="center">6.46</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Yuan et&#xa0;al. (<xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="top" rowspan="3" align="center">1997</td>
<td valign="top" rowspan="3" align="left">China</td>
<td valign="top" rowspan="3" align="left">Cohort</td>
<td valign="top" rowspan="3" align="center">9</td>
<td valign="top" rowspan="3" align="center">18,244</td>
<td valign="top" rowspan="3" align="left">0</td>
<td valign="top" rowspan="3" align="left">ALD</td>
<td valign="top" align="left">LTA: 10,471</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" rowspan="3" align="left">Yes</td>
<td/>
<td valign="top" rowspan="1" align="left">LC mortality</td>
<td valign="top" rowspan="3" align="center">35 (0.2%)</td>
<td valign="top" rowspan="1" align="left">Moderate</td>
</tr>
<tr>
<td valign="top" align="left">1.7-48 g/d: 6,189</td>
<td valign="top" align="left">0.46</td>
<td valign="top" align="center">0.17</td>
<td valign="top" align="center">1.22</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;50 g/d: 1,201</td>
<td valign="top" align="left">2.99</td>
<td valign="top" align="center">1.12</td>
<td valign="top" align="center">7.94</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>FU, follow-up; N, sample size; LTA, lifetime abstainers; CI, confidence intervals; P, percent in sample; N.A., not applicable; ALD, alcohol-related liver disease; HCV, hepatitis C virus; LC, liver cirrhosis.</p>
<p>*Risk-relation estimates were based on either odds ratios, relative risks, or hazard ratios.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>A non-linear dose-response curve was identified for both females and males. The restrictive cubic spline model (<xref ref-type="bibr" rid="B17">17</xref>) was the model that best fit our data (for reasoning on the selection of the model see <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material 4</bold>
</xref>). For the same amount of alcohol use, females presented a higher relative risk of LC than males (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). For both curves, the risk of LC increased with the average number of grams of alcohol consumed daily. <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> presents the RRs and the risk ratios of females vs males. The risk ratio was not constant, first increasing in value and then decreasing as the level of alcohol consumption became higher.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Dose-response curve between alcohol intake in grams per day and the risk of liver cirrhosis by sex.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fgstr-01-1005729-g002.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Relative risk and risk ratio by sex for some levels of alcohol use.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Grams of pure alcohol per day</th>
<th valign="top" align="center">Female RR (95% CI)</th>
<th valign="top" align="center">Male RR (95% CI)</th>
<th valign="top" align="center">Risk Ratio</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">20</td>
<td valign="top" align="center">3.34 (2.81 - 3.97)</td>
<td valign="top" align="center">1.60 (1.46 - 1.77)</td>
<td valign="top" align="center">2.09</td>
</tr>
<tr>
<td valign="top" align="center">40</td>
<td valign="top" align="center">9.35 (7.64 - 11.45)</td>
<td valign="top" align="center">2.82 (2.53 - 3.14)</td>
<td valign="top" align="center">3.32</td>
</tr>
<tr>
<td valign="top" align="center">60</td>
<td valign="top" align="center">17.54 (13.80 - 22.91)</td>
<td valign="top" align="center">5.09 (4.85 - 5.65)</td>
<td valign="top" align="center">3.45</td>
</tr>
<tr>
<td valign="top" align="center">80</td>
<td valign="top" align="center">23.32 (18.24 - 29.82)</td>
<td valign="top" align="center">7.93 (7.12 - 8.83)</td>
<td valign="top" align="center">2.94</td>
</tr>
<tr>
<td valign="top" align="center">100</td>
<td valign="top" align="center">25.33 (19.09 - 33.60)</td>
<td valign="top" align="center">10.76 (9.69 - 11.94)</td>
<td valign="top" align="center">2.35</td>
</tr>
<tr>
<td valign="top" align="center">120</td>
<td valign="top" align="center">25.77 (17.62 - 37.68)</td>
<td valign="top" align="center">13.40 (11.30 - 15.88)</td>
<td valign="top" align="center">1.92</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>We identified several statistically significant differences in the overall meta-regression model (for full model results and estimates, see <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material 5</bold>
</xref>). We obtained a significantly higher LC risk for females than for males (beta=-0.0319, se=0.00407; estimate for the interaction between sex and dose of alcohol consumption with female as reference). In addition, mortality studies presented a significantly higher risk compared to morbidity studies. Based on the quality scores obtained in the risk assessment, studies with serious and critical scores presented a higher risk compared to studies with moderate scores. Finally, we identified a significant steeper slope in HCV-related studies compared to all-cause LC and a steeper slope in all-cause LC compared to alcohol-related LC, this latter not being statistically significant.</p>
<p>In addition, we identified a higher risk for morbidity outcomes in females compared to males and a significantly higher risk for mortality due to LC in females compared to males (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>, for full model results, see <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material 6</bold>
</xref>). We also tested the interaction of morbidity and mortality stratified by sex (for full model results, see <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material 7</bold>
</xref>). In females, we did not identify statistically significant differences between morbidity studies and mortality studies. For males, mortality studies presented a significantly higher risk compared to morbidity studies.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Dose-response curve between alcohol intake in grams per day and the risk of liver cirrhosis by outcome (<bold>A</bold>. Liver cirrhosis morbidity, <bold>B</bold>. Liver cirrhosis mortality) and by sex.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fgstr-01-1005729-g003.tif"/>
</fig>
<p>In our sensitivity analysis, we excluded the study by Liu and colleges (<xref ref-type="bibr" rid="B18">18</xref>) which provided four estimate points with the corresponding weights: 14%, 14%, 15%, 13% in the restrictive cubic splines model in the overall dose-response relationship for females. When we ran the analysis with the study excluded, the shape of the curve attenuated but there were still statistically significant differences compared to males (see <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material 8</bold>
</xref>) and there were no changes in the significance and direction of the regression weights for the other variables studied.</p>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Differences in the risk of LC conditional on alcohol use between females and males have been identified, showing that, for females, the same level of alcohol consumed presents a higher risk of LC than for males as well as a higher mortality risk of LC, irrespective of the cause of LC. Our study is the most comprehensive and presents the most up to date estimates currently available. These results are consistent with previous reviews published (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>), which identified an increasing dose-response relationship in females. Our review identified six additional studies for females and 13 additional studies for males compared to the most recent review (<xref ref-type="bibr" rid="B7">7</xref>) mainly due to the inclusion of additional biological pathways of LC. In addition, it was not restricted to studies of all causes of LC combined, and thus we had the necessary power to study the impact of other variables. Importantly, the dose-response curves for females accelerate quickly, characterized by a non-linear curve with a more exponential relationship before flattening out.</p>
<p>The basis for this difference may partly be explained by differences in alcohol pharmacokinetics and pharmacodynamics between females and males (<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B46">46</xref>). Females generally have a relatively lower total water content and are generally smaller than males, resulting in higher blood alcohol concentrations for the same amount of ingested alcohol. Frezza et&#xa0;al. (<xref ref-type="bibr" rid="B47">47</xref>), confirmed this theory and identified that females also present a lower rate of alcohol dehydrogenase activity in the gastric mucosa, consequently producing a higher bioavailability of alcohol when lower doses of alcohol are consumed and a longer time period during which these levels are elevated. Thus, the activity of gastric metabolism is decreased in dependent alcohol use and sex differences are less apparent in heavy drinkers (<xref ref-type="bibr" rid="B48">48</xref>). In addition, estrogens are involved in alcohol-related liver damage by increasing the susceptibility of Kupffer cells to endotoxins (<xref ref-type="bibr" rid="B49">49</xref>). When activated, Kupffer cells release cytokines and produce hepatic inflammation, playing a role in hepatotoxicity after alcohol exposure (<xref ref-type="bibr" rid="B50">50</xref>). In contrast, when estrogen is blocked in animal models, the alcohol-related injury is attenuated (<xref ref-type="bibr" rid="B51">51</xref>). Therefore, Kupffer cells are an additional key element in the sex differences in liver injury caused by alcohol use.</p>
<p>The gender-gap that historically existed in the level of alcohol consumption between men and women is narrowing, with women increasing their consumption, including a notable increase in high-risk drinking (<xref ref-type="bibr" rid="B52">52</xref>). This phenomenon is a concerning public health problem which can consequently lead to adverse health effects. Additionally, gender-related differences in alcohol use regarding drinking patterns and problematic drinking (<xref ref-type="bibr" rid="B53">53</xref>), have been decreasing as the newest generations are being exposed to a social, economic and cultural homogenization (<xref ref-type="bibr" rid="B54">54</xref>). Knowing the unique risk that alcohol has for women, increases in their consumption are concerning and efforts should be directed to build awareness for this issue. More specifically for LC, prevention campaigns should take into consideration that females incur more than twofold risks of LC compared to males at all levels of alcohol consumption, with the excess risk of females being highest at 60 grams of pure alcohol per day.</p>
<p>In addition, given the quick acceleration of risk curves in females, targeted approaches directed to females in the health-care system seem promising. This is especially true with the apparent gender-gap in today&#x2019;s clinical practice, since women are not routinely asked about their alcohol use (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). In general, alcohol assessment during healthcare visits is key to the early identification of harmful alcohol use as well as for quickly conducting brief interventions or referrals for specialty treatment. Brief interventions and alcohol use disorder treatment have been shown to be effective and relatively cost effective in decreasing consumption (<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B56">56</xref>), and thus in reducing the risk for LC. One study reported that men have a higher rate of accessing healthcare prior to being diagnosed with alcohol-related LC than women, but they are less likely to receive interventions or referrals than women (<xref ref-type="bibr" rid="B57">57</xref>). Nevertheless, women report having less social support for treatment engagement when dealing with alcohol use disorders (<xref ref-type="bibr" rid="B58">58</xref>). To formulate effective and accessible prevention and treatment options, these factors should be taken into account.</p>
<p>There are some limitations to our study that should be considered. First, we performed a meta-analysis based on an underlying literature search. Therefore, the evidence is limited to the research available and there is a longstanding and consistent history of poor measurement of alcohol use in epidemiological studies due to social desirability bias (underreporting) resulting from survey data. Also, there was a lack of data regarding the causes of LC, which leads us to be cautious when interpreting the differences identified between underlying causes of LC. Nevertheless, the same differences were identified in a wider analysis that included studies with both sexes combined. In addition, females accounted for more than twice the subjects and cases than males, and the study conducted by Liu and colleagues (<xref ref-type="bibr" rid="B18">18</xref>) represented more than half of the weight in our analysis. This large prospective study had a relatively high-quality methodology and, although the dose-response curve attenuated when we excluded this study from our analysis, we did not find differences in the direction of the curves or in beta-coefficients for other variables. As for the interpretation of the risk of bias score, although more than half of our studies received a serious or critical score, this was mainly because they did not include a time-variant confounding variable, which left us without a single article with a low bias score, and many articles with scores of serious and critical bias. Finally, alcohol use is often measured by self-report, which may lead to bias, although it has been shown to be valid overall (<xref ref-type="bibr" rid="B59">59</xref>).</p>
<p>By using a systematic and standardized methodology we were able to quantify the dose-response relationships in females and males and identify the differences in both curves and according to the outcomes. The higher risk observed in females, both in the progression of and mortality due to LC, calls for action. In primary care, unless alcohol use is screened for systematically, women&#xb4;s drinking tends to be overlooked (<xref ref-type="bibr" rid="B60">60</xref>). Early identification of excessive alcohol use should be a regular practice in health-care facilities to properly diagnose and treat at-risk individuals and prevent further progression in individuals with lower levels of consumption (<xref ref-type="bibr" rid="B61">61</xref>).</p>
</sec>
<sec id="s5" sec-type="data-availability">
<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">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>Conceptualization: CP and JR. Methodology: LL-F, JR, HJ and AT. Data curation: LL-F, HJ, KP, AL, CB, CP and AT. Formal analysis: LL-F, HJ and AT. Funding acquisition, CP. Investigation: LL-F, KP, AL, CB, CP and JR. Project administration: CP. Resources: CP and JR. Software: LL-F, JR, HJ and AT. Supervision: CP and JR. Validation: JR and HJ. Visualization: LL-F and AT. Writing&#x2014;original draft, LL-F and JR. Writing&#x2014;review and editing: all authors. All authors have read and agreed to the published version of the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>Research reported in this publication was supported by the National Institute on Alcohol Abuse and Alcoholism of the National Institutes of Health under Award Numbers R01AA028009 and R01AA028224. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.</p>
</sec>
<sec id="s8" sec-type="acknowledgement">
<title>Acknowledgments</title>
<p>We would like to thank Ms. Astrid Otto for referencing and copyediting the text.</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>Author AL reported grants from Swiss National Science Foundation (SNSF) during the conduct of the study.</p>
<p>The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#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>
</body>
<back>
<sec id="s11" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fgstr.2022.1005729/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fgstr.2022.1005729/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.pdf" id="SM1" mimetype="application/pdf"/>
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