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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2026.1655968</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Systematic Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Suicide risk and mortality among patients with cancers of the digestive system: a systematic review and meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Wang</surname><given-names>Yebin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<name><surname>Yang</surname><given-names>Xiaotian</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Song</surname><given-names>Mengyao</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Li</surname><given-names>Yipu</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Jiao</surname><given-names>Dechao</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Zhou</surname><given-names>Xueliang</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<aff id="aff1"><label>1</label><institution>The First Clinical School of Medicine, Zhengzhou University</institution>, <city>Zhengzhou</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University</institution>, <city>Zhengzhou</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Xueliang Zhou, <email xlink:href="mailto:zhouxueliang2018@163.com">zhouxueliang2018@163.com</email>; Dechao Jiao, <email xlink:href="mailto:jiaodechao007@126.com">jiaodechao007@126.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-26">
<day>26</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>16</volume>
<elocation-id>1655968</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>14</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Wang, Yang, Song, Li, Jiao and Zhou.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Wang, Yang, Song, Li, Jiao and Zhou</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-26">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Although significant strides have been made in cancer therapy, studies show that suicide rates among digestive cancer patients compared to the general population remain controversial, and specific risk factors are not clearly defined. Therefore, we conducted a systematic review and meta-analysis of the standardized mortality ratios (SMRs) in patients with digestive system cancer.</p>
</sec>
<sec>
<title>Methods</title>
<p>PubMed, Embase, Web of Science and Cochran Library databases were searched for relevant articles up to June 2025. We assessed SMRs by cancer type, sex, cancer prognosis, time since diagnosis, geographic region and year of recruitment. We performed meta-analysis by random effects model and evaluated heterogeneity using I&#xb2; statistic. Publication bias was performed by funnel plots, Edger&#x2019;s and B egg&#x2019;s tests.</p>
</sec>
<sec>
<title>Results</title>
<p>12 cohort studies comprising 6763452 digestive cancer patients were eligible. The total SMR in this population was (SMR&#xa0;=&#xa0;2.25, 95% CI&#xa0;=&#xa0;1.89-2.66, P &lt; 0.000). The SMRs were significantly increased for esophageal (SMR&#xa0;=&#xa0;3.35, 95% CI&#xa0;=&#xa0;2.37-4.75, P &lt; 0.000), pancreatic (SMR&#xa0;=&#xa0;3.87, 95% CI&#xa0;=&#xa0;2.33-6.41, P &lt; 0.000), stomach (SMR&#xa0;=&#xa0;2.10, 95% CI&#xa0;=&#xa0;1.81-2.43, P &lt; 0.000), liver (SMR&#xa0;=&#xa0;1.89, 95% CI&#xa0;=&#xa0;1.38-2.59, P&#xa0;=&#xa0;0.066) and colorectum (SMR&#xa0;=&#xa0;1.57, 95% CI&#xa0;=&#xa0;1.36-1.81, P &lt; 0.000) cancers. Furthermore, the SMRs exhibit significant variations influenced by other contributing factors.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Due to various suicide risk factors, the SMRs among digestive cancer patients surpasses that of the general population by more than double. Hence, heightened psychological support is warranted for these patients.</p>
</sec>
<sec>
<title>Systematic Review Registration</title>
<p><ext-link ext-link-type="uri" xlink:href="https://www.crd.york.ac.uk/PROSPERO/view/CRD420261288056">https://www.crd.york.ac.uk/PROSPERO/view/CRD420261288056</ext-link>, identifier CRD420261288056.</p>
</sec>
</abstract>
<kwd-group>
<kwd>digestive system cancer</kwd>
<kwd>meta-analysis</kwd>
<kwd>SMR</kwd>
<kwd>suicide</kwd>
<kwd>systematic review</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was supported by the Henan Province Science and Technology Research Project in 2023 (No. 232102311132) and the Henan Medical Science and Technology Research Program Joint Construction Project (No. LHGJ20220412), the Natural Science Foundation of Henan Province (Grant No. 242300420393).</funding-statement>
</funding-group>
<counts>
<fig-count count="3"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="48"/>
<page-count count="12"/>
<word-count count="4926"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cancer Epidemiology and Prevention</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Due to the improvement of people&#x2019;s living standards and the diversification of diet, more people are suffering from a variety of digestive system cancers (<xref ref-type="bibr" rid="B1">1</xref>). Gastric cancer (GC) ranks as the fifth most prevalent malignancy globally and holds the position of the fourth highest cause of cancer-related mortality worldwide (<xref ref-type="bibr" rid="B2">2</xref>). Despite the high incidence of GC, most patients are unfortunately diagnosed at advanced stages with poor prognoses due to the lack of distinguishing clinical indications (<xref ref-type="bibr" rid="B3">3</xref>). Once diagnosed with digestive system cancer, patients often endure substantial suffering. At the physical level, cancer treatments and interventions&#x2014;including surgery, chemotherapy, radiotherapy, and hormonal therapy&#x2014;exert profound impacts on the body (<xref ref-type="bibr" rid="B4">4</xref>). In addition, these treatments are frequently accompanied by psychological consequences. Patients diagnosed with digestive cancer commonly experience mental burdens such as anxiety, depression, physical distress, as well as social and economic stress (<xref ref-type="bibr" rid="B5">5</xref>). It has been reported that approximately 30% of patients with digestive system cancers develop adjustment disorders and depression, and that middle-aged individuals and those undergoing chemotherapy are at a higher risk of anxiety (<xref ref-type="bibr" rid="B6">6</xref>). In addition, suicide poses a significant public health dilemma (<xref ref-type="bibr" rid="B7">7</xref>). Compared with the general population, under the double burden of physical and mental stress, patients diagnosed with digestive cancers may be at heightened risk of suicidal behavior and the motivations behind such intentions can vary widely (<xref ref-type="bibr" rid="B8">8</xref>). Chen et&#xa0;al. reported that the SMR in esophageal cancer was 5.45 (95% CI&#xa0;=&#xa0;4.66-6.35) in the U.S. general population (1975&#x2013;2016) (<xref ref-type="bibr" rid="B9">9</xref>). Meanwhile, there are still studies that demonstrate no correlation between SMRs in patients with digestive tract cancer and the general population (<xref ref-type="bibr" rid="B10">10</xref>a). Therefore, regardless of the underlying reasons, suicidal behavior results in the loss of precious lives and inflict unimaginable suffering upon families and loved ones (<xref ref-type="bibr" rid="B11">11</xref>). Digestive system cancers seriously affect the diet and psychological condition of patients and in the past, the main approach was to use supportive psychotherapy to alleviate their symptoms for such patients, so it is necessary to conduct comprehensive management of psychological, spiritual and psychological treatment for cancer patients (<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>Moreover, there has been a conspicuous absence of meta-analyses investigating suicide rates in patients with digestive system cancer (<xref ref-type="bibr" rid="B13">13</xref>), alongside their associated risk factors, with many studies exhibiting shortcomings in terms of comprehensive literature reviews. Hence, the objective of this study was to quantify the SMRs among patients diagnosed with digestive system cancer in comparison to the general population. Furthermore, we undertook thorough subgroup analyses to assess the impact of specific risk factors on SMRs, including cancer prognosis, time since diagnosis, gender, and geographic region for providing targeted psychological support treatment for patients.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Search strategy and study selection</title>
<p>We conducted a thorough literature review following the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines (PRISMA guidelines) (<xref ref-type="bibr" rid="B14">14</xref>). A computerized search was carried out on PubMed, Embase, Web of Science, and Cochran Library databases to identify relevant studies published from the time of inception to March 2025. The search utilized the following terms to ensure comprehensiveness:(((((((stomach[Title/Abstract]) OR (gastric[Title/Abstract])) OR ((esophagus[Title/Abstract]) OR (esophageal[Title/Abstract]))) OR (((((colon[Title/Abstract]) OR (colonic[Title/Abstract])) OR (colorectal[Title/Abstract])) OR (rectum[Title/Abstract])) OR (rectal[Title/Abstract]))) OR ((((liver[Title/Abstract]) OR (hepatic[Title/Abstract])) OR (hepatocellular[Title/Abstract])) OR (intrahepatic bile duct[Title/Abstract]))) OR ((pancreatic[Title/Abstract]) OR (pancreas[Title/Abstract]))) AND ((((carcinoma[Title/Abstract]) OR (neoplasms[Title/Abstract])) OR (cancer[Title/Abstract])) OR (tumor[Title/Abstract]))) AND ((suicide[Title/Abstract]) OR (suicides[Title/Abstract])). A detailed outline of the process of study selection is presented in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;1</bold></xref>.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Inclusion and exclusion criteria</title>
<p>The eligibility criteria for this review were determined based on the PICOS framework as follows:</p>
<list list-type="simple">
<list-item>
<p>(P) Population: Patients with digestive system cancers.</p></list-item>
<list-item>
<p>(I) Intervention: Diagnosed with a malignant tumor of the digestive system.</p></list-item>
<list-item>
<p>(C) Comparison/control: General population.</p></list-item>
<list-item>
<p>(O) Outcomes: Standardized mortality ratios.</p></list-item>
<list-item>
<p>(S) Study design: Observational study.</p></list-item>
</list>
<p>Only original studies conforming to the Population, Intervention, Control, and Outcome (PICO) framework were eligible for inclusion. Studies based on case reports and case series were excluded.</p>
<p>The inclusion criteria were as follows: (a) population characteristic: patients with digestive cancers: (b) outcomes: the statistical result is SMR of patients with cancer of the digestive system; (c) study type: all observational research (retrospective or prospective); (d) SMR shows no correlation between cancer patients and general population; (e) studies utilizing appropriate statistical methods for analyses and having sufficient data. The exclusion criteria were the following: (a) The number of patients is less than 100; (b) risk ratios other than SMR/HR; (c) The findings were specific to patients&#x2019; suicidal intentions. (d) confidence intervals &#x2260; 95%.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Study selection and data extraction</title>
<p>After removing duplicates, the initially identified articles underwent screening based on their titles and abstracts. If the abstracts seemed to meet the predetermined inclusion and exclusion criteria, a full-text assessment was conducted. Two reviewers (Wang and Yang) independently carried out the literature search and study selection using a standardized protocol. Any discrepancies between reviewers were resolved through consensus.</p>
<p>The following data were extracted from studies selected by two authors: (a) Study characteristics: author name, country, year of publication, study type, and year of inclusion. (b) Patient characteristics: total number of patients, gender, region. (c) Tumor characteristics: tumor type, tumor prognosis, years after diagnosis. Any discrepancies between authors were resolved through consensus.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Quality assessment</title>
<p>The Newcastle-Ottawa Standard (NOS) checklist was employed to evaluate the quality of the articles included in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;2</bold></xref>. Each study underwent scoring by two independent reviewers, and any disparities were resolved through discussion and consensus with a third author.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Statistical analysis</title>
<p>As outcome measure, we used SMRs as RR estimates. In the absence of SMR data, we calculated the SMR values by comparing the observed number of suicides to the expected number in each country where the studies were conducted. Subsequently, we aggregated the observed and expected cases within each subgroup to determine the overall SMR. In order to minimize patient overlap, we opted for studies with the widest range of years of coverage and the largest sample size, and avoided overlapping follow-up years. Statistical analysis was conducted utilizing STATA v.12 software and R statistical software, the meta for packages, with a 2-sided 5% significance level. Meta-analytic pooling was executed exclusively when three or more studies were accessible. Meanwhile, we employed subgroup analysis and random-effects meta-regression to assess the potential changes in suicide rates among cancer patients according to cancer site, cancer prognosis, gender, geographic region, diagnostic period and the year of recruitment. Heterogeneity was assessed utilizing the Cochran Q-test and I<sup>2</sup> statistics. A random-effects model was employed to amalgamate effect indicators in instances where I<sup>2</sup> &#x2265; 50% and P &lt; 0.05. Conversely, a fixed-effects model was utilized. Publication bias was examined when the analysis included ten or more studies.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Study selection and characteristics</title>
<p>We initially retrieved 2836 records, of which 1720 remained after excluding duplicates. Following title and abstract screening, 80 records were selected. Among these, 60 did not meet the inclusion criteria, resulting in 20 cohort studies for further analysis. Considering the potential overlap of patients in studies using the same database with recruitment periods and tumor types, we excluded eight records based on recruitment years, retaining a core set of 12 independent studies to mitigate the impact of patient overlap on meta-analysis outcomes. The flowchart of the literature selection process is depicted in <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>. In these twelve retrospective cohort studies, the results were consistently presented using standardized mortality ratios (SMRs), encompassing a total of 6,763,452 patients diagnosed with digestive system cancers, with follow-up periods ranging from 1960 to 2019. Among the total cohort of 6,763,452 samples of included studies, specifically, five studies incorporated both male and female participants, whereas only two studies were exclusively designed to examine female cohorts, for a total sample size of &gt; 766,474 males and &gt; 452,502 females. Geographically, the included studies spanned across Europe, the United States, and Asia, focusing on five major types of digestive system cancers: esophageal, hepatic, pancreatic, colorectal, and gastric cancers. Collectively, these studies sought to maximize representativeness by covering diverse geographic locations, balanced gender participation, and multiple types of digestive system cancers. The characteristics of the 12 retrospective cohort studies are presented in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>. All 12 studies were classified as high quality according to the Newcastle-Ottawa Standard (NOS).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flowchart of the literature selection.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1655968-g001.tif">
<alt-text content-type="machine-generated">Flowchart showing study identification via databases. Initially, 2,836 records were found across PubMed-Medline, Embase, Web of Science, and Cochrane Library. After removing 1,720 duplicates, 1,134 records were screened. 1,004 were excluded: 112 reviews, case reports, and 892 unrelated topics. Of the remaining 80 reports, 68 full-text articles were excluded for various reasons, such as incorrect risk ratios and study populations. Finally, 12 studies were included in the review.</alt-text>
</graphic></fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Characteristics of 12 retrospective cohort studies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="3" align="left">First author</th>
<th valign="top" rowspan="3" align="left">Study design</th>
<th valign="top" rowspan="3" align="left">Ethnicity</th>
<th valign="top" rowspan="3" align="left">Cancer site &#x2003;</th>
<th valign="top" rowspan="3" align="left">Country &#x2003;</th>
<th valign="top" rowspan="2" colspan="3" align="left">Time of recruitment</th>
<th valign="top" rowspan="2" colspan="2" align="left">Time diagnosis</th>
<th valign="top" colspan="4" align="left">Sex</th>
<th valign="top" rowspan="3" align="left">Total population</th>
<th valign="top" rowspan="3" align="left">No of suicide</th>
<th valign="top" rowspan="3" align="left">SMR (95% CI)</th>
</tr>
<tr>
<th valign="top" colspan="2" align="left">Male</th>
<th valign="top" colspan="2" align="left">Memale</th>
</tr>
<tr>
<th valign="top" align="left">Time</th>
<th valign="top" align="left">Number</th>
<th valign="top" align="left">SMR</th>
<th valign="top" align="left">With</th>
<th valign="top" align="left">Later</th>
<th valign="top" align="left">Number</th>
<th valign="top" align="left">SMR</th>
<th valign="top" align="left">Number</th>
<th valign="top" align="left">SMR</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" style=""><xref ref-type="bibr" rid="B15">15</xref></td>
<td valign="top" align="left" style="">Cohort&#xa0;study</td>
<td valign="top" align="left" style="">White</td>
<td valign="top" align="left" style="">(C)</td>
<td valign="top" align="left" style="">USA</td>
<td valign="top" align="left" style="">1988-2010</td>
<td valign="top" align="left" style="">884529</td>
<td valign="top" align="left" style="">1.33</td>
<td valign="top" colspan="2" align="left" style="">NA</td>
<td valign="top" align="left" style="">NA</td>
<td valign="top" align="left" style=""/>
<td valign="top" align="left" style="">NA</td>
<td valign="top" align="left" style=""/>
<td valign="top" align="left" style="">884529</td>
<td valign="top" align="left" style="">1381</td>
<td valign="top" align="left" style="">1.33(1.13-1.53)</td>
</tr>
<tr>
<td valign="top" align="left" style=""><xref ref-type="bibr" rid="B16">16</xref></td>
<td valign="top" align="left" style="">Cohort study</td>
<td valign="top" align="left" style="">White</td>
<td valign="top" align="left" style="">(C)</td>
<td valign="top" align="left" style="">Lithuania</td>
<td valign="top" align="left" style="">1998-2012</td>
<td valign="top" align="left" style="">19409</td>
<td valign="top" align="left" style="">1.62</td>
<td valign="top" colspan="2" align="left" style="">NA</td>
<td valign="top" align="left" style="">9504</td>
<td valign="top" align="left" style="">1.48</td>
<td valign="top" align="left" style="">9905</td>
<td valign="top" align="left" style="">2.15</td>
<td valign="top" align="left" style="">19409</td>
<td valign="top" align="left" style="">67</td>
<td valign="top" align="left" style="">1.62(1.27-2.06)</td>
</tr>
<tr>
<td valign="top" align="left" style=""><xref ref-type="bibr" rid="B17">17</xref></td>
<td valign="top" align="left" style="">Cohort study</td>
<td valign="top" align="left" style="">Asia</td>
<td valign="top" align="left" style="">(S)</td>
<td valign="top" align="left" style="">Korea</td>
<td valign="top" align="left" style="">2000-2016</td>
<td valign="top" align="left" style="">434956</td>
<td valign="top" align="left" style="">1.69</td>
<td valign="top" colspan="2" align="left" style="">NA</td>
<td valign="top" align="left" style="">NA</td>
<td valign="top" align="left" style=""/>
<td valign="top" align="left" style="">NA</td>
<td valign="top" align="left" style=""/>
<td valign="top" align="left" style="">434956</td>
<td valign="top" align="left" style="">10143</td>
<td valign="top" align="left" style="">1.69(1.59-1.79)</td>
</tr>
<tr>
<td valign="top" align="left" style=""><xref ref-type="bibr" rid="B18">18</xref></td>
<td valign="top" align="left" style="">Cohort study</td>
<td valign="top" align="left" style="">White</td>
<td valign="top" align="left" style="">(C)(L)(S)</td>
<td valign="top" align="left" style="">Polish</td>
<td valign="top" align="left" style="">2009-2019</td>
<td valign="top" align="left" style="">241040</td>
<td valign="top" align="left" style="">2.007</td>
<td valign="top" colspan="2" align="left" style="">NA</td>
<td valign="top" align="left" style="">34001</td>
<td valign="top" align="left" style="">2.77</td>
<td valign="top" align="left" style="">19143</td>
<td valign="top" align="left" style="">1.9</td>
<td valign="top" align="left" style="">241040</td>
<td valign="top" align="left" style="">NA</td>
<td valign="top" align="left" style="">2.007(1.176-3.425)</td>
</tr>
<tr>
<td valign="top" align="left" style=""><xref ref-type="bibr" rid="B19">19</xref></td>
<td valign="top" align="left" style="">Cohort study</td>
<td valign="top" align="left" style="">Asia</td>
<td valign="top" align="left" style="">(C)</td>
<td valign="top" align="left" style="">Taiwan</td>
<td valign="top" align="left" style="">2000-2010</td>
<td valign="top" align="left" style="">96470</td>
<td valign="top" align="left" style="">2.03</td>
<td valign="top" colspan="2" align="left" style="">NA</td>
<td valign="top" align="left" style="">NA</td>
<td valign="top" align="left" style=""/>
<td valign="top" align="left" style="">41697</td>
<td valign="top" align="left" style="">1.09</td>
<td valign="top" align="left" style="">96470</td>
<td valign="top" align="left" style="">392</td>
<td valign="top" align="left" style="">2.03(1.6-2.56)</td>
</tr>
<tr>
<td valign="top" align="left" style=""><xref ref-type="bibr" rid="B10">10</xref></td>
<td valign="top" align="left" style="">Cohort study</td>
<td valign="top" align="left" style="">White</td>
<td valign="top" align="left" style="">(C)(L)(S) (E)(P)</td>
<td valign="top" align="left" style="">USA</td>
<td valign="top" align="left" style="">2000-2016</td>
<td valign="top" align="left" style="">2715070</td>
<td valign="top" align="left" style="">2.05</td>
<td valign="top" colspan="2" align="left" style="">NA</td>
<td valign="top" align="left" style="">NA</td>
<td valign="top" align="left" style=""/>
<td valign="top" align="left" style="">NA</td>
<td valign="top" align="left" style=""/>
<td valign="top" align="left" style="">2715070</td>
<td valign="top" align="left" style="">3217</td>
<td valign="top" align="left" style="">2.05(1.362-3.087)</td>
</tr>
<tr>
<td valign="top" align="left" style=""><xref ref-type="bibr" rid="B20">20</xref></td>
<td valign="top" align="left" style="">Cohort study</td>
<td valign="top" align="left" style="">White</td>
<td valign="top" align="left" style="">(C)</td>
<td valign="top" align="left" style="">USA</td>
<td valign="top" align="left" style="">2000-2014</td>
<td valign="top" align="left" style="">453774</td>
<td valign="top" align="left" style="">2.08</td>
<td valign="top" align="left" style="">572968</td>
<td valign="top" align="left" style="">367551</td>
<td valign="top" align="left" style="">NA</td>
<td valign="top" align="left" style=""/>
<td valign="top" align="left" style="">NA</td>
<td valign="top" align="left" style=""/>
<td valign="top" align="left" style="">453774</td>
<td valign="top" align="left" style="">NA</td>
<td valign="top" align="left" style="">2.08(1.74-2.47)</td>
</tr>
<tr>
<td valign="top" align="left" style=""><xref ref-type="bibr" rid="B21">21</xref></td>
<td valign="top" align="left" style="">Cohort study</td>
<td valign="top" align="left" style="">White</td>
<td valign="top" align="left" style="">(C)(L)(S) (E)(P)</td>
<td valign="top" align="left" style="">England</td>
<td valign="top" align="left" style="">2015-2017</td>
<td valign="top" align="left" style="">1002374</td>
<td valign="top" align="left" style="">2.152</td>
<td valign="top" colspan="2" align="left" style="">NA</td>
<td valign="top" align="left" style="">NA</td>
<td valign="top" align="left" style=""/>
<td valign="top" align="left" style="">NA</td>
<td valign="top" align="left" style=""/>
<td valign="top" align="left" style="">1002374</td>
<td valign="top" align="left" style="">508</td>
<td valign="top" align="left" style="">2.152(1.369-3.382)</td>
</tr>
<tr>
<td valign="top" align="left" style=""><xref ref-type="bibr" rid="B22">22</xref></td>
<td valign="top" align="left" style="">Cohort study</td>
<td valign="top" align="left" style="">White</td>
<td valign="top" align="left" style="">(S)</td>
<td valign="top" align="left" style="">Norway</td>
<td valign="top" align="left" style="">1960-1997</td>
<td valign="top" align="left" style="">78413</td>
<td valign="top" align="left" style="">2.21</td>
<td valign="top" colspan="2" align="left" style="">NA</td>
<td valign="top" align="left" style="">46467</td>
<td valign="top" align="left" style="">2.15</td>
<td valign="top" align="left" style="">31946</td>
<td valign="top" align="left" style="">2.5</td>
<td valign="top" align="left" style="">78413</td>
<td valign="top" align="left" style="">94</td>
<td valign="top" align="left" style="">2.21(1.5-3.14)</td>
</tr>
<tr>
<td valign="top" align="left" style=""><xref ref-type="bibr" rid="B23">23</xref></td>
<td valign="top" align="left" style="">Cohort study</td>
<td valign="top" align="left" style="">Asia</td>
<td valign="top" align="left" style="">(C)(L)(S) (E)(P)</td>
<td valign="top" align="left" style="">Korea</td>
<td valign="top" align="left" style="">1993-2005</td>
<td valign="top" align="left" style="">575249</td>
<td valign="top" align="left" style="">2.292</td>
<td valign="top" align="left" style="">151544</td>
<td valign="top" align="left" style="">214325</td>
<td valign="top" align="left" style="">385014</td>
<td valign="top" align="left" style="">2.0</td>
<td valign="top" align="left" style="">190235</td>
<td valign="top" align="left" style="">2.35</td>
<td valign="top" align="left" style="">575249</td>
<td valign="top" align="left" style="">834</td>
<td valign="top" align="left" style="">2.292(1.906-2.757)</td>
</tr>
<tr>
<td valign="top" align="left" style=""><xref ref-type="bibr" rid="B24">24</xref></td>
<td valign="top" align="left" style="">Cohort study</td>
<td valign="top" align="left" style="">White</td>
<td valign="top" align="left" style="">(P)</td>
<td valign="top" align="left" style="">USA</td>
<td valign="top" align="left" style="">1973-2013</td>
<td valign="top" align="left" style="">192395</td>
<td valign="top" align="left" style="">5.39</td>
<td valign="top" colspan="2" align="left" style="">NA</td>
<td valign="top" align="left" style="">NA</td>
<td valign="top" align="left" style=""/>
<td valign="top" align="left" style="">NA</td>
<td valign="top" align="left" style=""/>
<td valign="top" align="left" style="">192395</td>
<td valign="top" align="left" style="">NA</td>
<td valign="top" align="left" style="">5.39(4.63-6.24)</td>
</tr>
<tr>
<td valign="top" align="left" style=""><xref ref-type="bibr" rid="B9">9</xref></td>
<td valign="top" align="left" style="">Cohort study</td>
<td valign="top" align="left" style="">White</td>
<td valign="top" align="left" style="">(E)</td>
<td valign="top" align="left" style="">USA</td>
<td valign="top" align="left" style="">1975-2016</td>
<td valign="top" align="left" style="">69773</td>
<td valign="top" align="left" style="">69773</td>
<td valign="top" colspan="2" align="left" style="">NA</td>
<td valign="top" align="left" style="">NA&#x2003;</td>
<td valign="top" align="left" style=""/>
<td valign="top" align="left" style="">16108</td>
<td valign="top" align="left" style="">2.47</td>
<td valign="top" align="left" style="">69773</td>
<td valign="top" align="left" style="">161</td>
<td valign="top" align="left" style="">5.45(4.66-6.35)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>C, colorectum; S, stomach; P, pancreas; L, liver; E, esophagus; F, women only; M, men only; NA, not available.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>SMRs in patients with digestive system cancer</title>
<p>Our comprehensive analysis revealed that the SMR among patients with digestive system cancer was 2.25 times higher than that of the general population (SMR&#xa0;=&#xa0;2.25, 95% CI&#xa0;=&#xa0;1.89&#x2013;2.66, P &lt; 0.000), accompanied by substantial heterogeneity (I&#xb2; = 97.4%, P &lt; 0.0001) in <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>. As the SMRs for patients with esophageal cancer, liver cancer, pancreatic cancer, gastric cancer, and colorectal cancer have been recorded together in certain studies. To obtain an integrated SMR for each cancer, we analyzed the results of these studies separately by cancer type in <xref ref-type="supplementary-material" rid="SF1"><bold>Supplementary Figure&#xa0;1</bold></xref>. The SMRs were significantly increased for esophageal (SMR&#xa0;=&#xa0;3.35, 95% CI&#xa0;=&#xa0;2.37-4.75, P &lt; 0.000) (<xref ref-type="bibr" rid="B10">10</xref>b, <xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B23">23</xref>), pancreatic (SMR&#xa0;=&#xa0;3.87, 95% CI&#xa0;=&#xa0;2.33-6.41, P &lt; 0.000) (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B24">24</xref>b, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B23">23</xref>), stomach (SMR&#xa0;=&#xa0;2.102, 95% CI&#xa0;=&#xa0;1.81-2.43, P &lt; 0.000) (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>b, <xref ref-type="bibr" rid="B21">21</xref>&#x2013;<xref ref-type="bibr" rid="B23">23</xref>), liver (SMR&#xa0;=&#xa0;1.89, 95% CI&#xa0;=&#xa0;1.38-2.59, P&#xa0;=&#xa0;0.066) (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B18">18</xref>b, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B23">23</xref>) and colorectum cancers (SMR&#xa0;=&#xa0;1.57, 95% CI&#xa0;=&#xa0;1.36-1.81, P &lt; 0.000) (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B20">20</xref>a, <xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B18">18</xref>b, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B23">23</xref>). To pinpoint potential sources of heterogeneity, we conducted further subgroup analyses. And the summary of subgroup analyses of suicide in patients is presented in <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref> and <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Since some articles contain SMRs of multiple digestive system cancers, individual cancer-specific SMRs are extracted and collectively analyzed in the forest plot. C, colorectum; E, esophagus; L, liver; S, stomach; P, pancreas; F, women only; M, men only.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1655968-g002.tif">
<alt-text content-type="machine-generated">Forest plot showing standardized mean ratios (SMR) and 95% confidence intervals (CI) for multiple studies. Each line represents a study with corresponding SMR values and weight percentages. The diamond at the bottom indicates the overall effect size, with an SMR of 2.25, 95% CI from 1.89 to 2.66. Vertical reference line at SMR of 1. Data suggest significant heterogeneity, as indicated by \( I^2 = 97.4\% \) and \( p &lt; 0.000 \).</alt-text>
</graphic></fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>All subgroup analysis results were summarized.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1655968-g003.tif">
<alt-text content-type="machine-generated">Forest plot displaying standardized mortality ratios (SMR) with 95% confidence intervals for various subgroups. Categories include cancer site, prognosis, sex, region, recruitment time, and diagnosis, detailing study numbers and sample sizes. SMR values with confidence intervals vary, indicating mortality risk differences across subgroups. Key findings show higher SMR in pancreas and esophagus cancer sites, poor prognosis, males, the USA, recruitment before 2000, and diagnosis within one year. Overall SMR is 2.25.</alt-text>
</graphic></fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Summary table of meta-regression tests.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Co-variable</th>
<th valign="middle" align="left">No of study</th>
<th valign="middle" align="left">Sample</th>
<th valign="middle" align="left">SMR</th>
<th valign="middle" align="left">95%CI</th>
<th valign="middle" align="left"><italic>P</italic> value</th>
<th valign="middle" align="left">I&#xb2;(%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left" style="">Cancer site</td>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style=""><bold>2.25</bold></td>
<td valign="middle" align="left" style=""><bold>1.89-2.66</bold></td>
<td valign="middle" align="left" style=""><bold>&lt;0.000</bold></td>
<td valign="middle" align="left" style=""><bold>97.4</bold></td>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Stomach</td>
<td valign="middle" align="left" style="">6</td>
<td valign="middle" align="left" style="">1112727</td>
<td valign="middle" align="left" style="">2.10</td>
<td valign="middle" align="left" style="">1.81-2.43</td>
<td valign="middle" align="left" style="">-</td>
<td valign="middle" align="left" style="">86.0</td>
</tr>
<tr>
<td valign="middle" align="left" style=""><bold>&#x2003;Esophagus</bold></td>
<td valign="middle" align="left" style=""><bold>4</bold></td>
<td valign="middle" align="left" style=""><bold>365367</bold></td>
<td valign="middle" align="left" style=""><bold>3.35</bold></td>
<td valign="middle" align="left" style=""><bold>2.37-4.755</bold></td>
<td valign="middle" align="left" style=""><bold>&lt;0.000</bold></td>
<td valign="middle" align="left" style=""><bold>93.0</bold></td>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Liver</td>
<td valign="middle" align="left" style="">4</td>
<td valign="middle" align="left" style="">335244</td>
<td valign="middle" align="left" style="">1.89</td>
<td valign="middle" align="left" style="">1.38-2.59</td>
<td valign="middle" align="left" style="">0.066</td>
<td valign="middle" align="left" style="">58.4</td>
</tr>
<tr>
<td valign="middle" align="left" style=""><bold>&#x2003;Colorectum</bold></td>
<td valign="middle" align="left" style=""><bold>8</bold></td>
<td valign="middle" align="left" style=""><bold>3831450</bold></td>
<td valign="middle" align="left" style=""><bold>1.57</bold></td>
<td valign="middle" align="left" style=""><bold>1.36-1.81</bold></td>
<td valign="middle" align="left" style=""><bold>&lt;0.000</bold></td>
<td valign="middle" align="left" style=""><bold>88.4</bold></td>
</tr>
<tr>
<td valign="middle" align="left" style=""><bold>&#x2003;Pancreas</bold></td>
<td valign="middle" align="left" style=""><bold>4</bold></td>
<td valign="middle" align="left" style=""><bold>748257</bold></td>
<td valign="middle" align="left" style=""><bold>3.87</bold></td>
<td valign="middle" align="left" style=""><bold>2.33-6.41</bold></td>
<td valign="middle" align="left" style=""><bold>&lt;0.000</bold></td>
<td valign="middle" align="left" style=""><bold>95.7</bold></td>
</tr>
<tr>
<td valign="middle" align="left" style="">Sex</td>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style="">2.15</td>
<td valign="middle" align="left" style="">1.87-2.47</td>
<td valign="middle" align="left" style="">0.316</td>
<td valign="middle" align="left" style="">87.6</td>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Women</td>
<td valign="middle" align="left" style="">7</td>
<td valign="middle" align="left" style="">452502</td>
<td valign="middle" align="left" style="">1.97</td>
<td valign="middle" align="left" style="">1.56-2.50</td>
<td valign="middle" align="left" style="">-</td>
<td valign="middle" align="left" style="">78.3</td>
</tr>
<tr>
<td valign="middle" align="left" style=""><bold>&#x2003;Men</bold></td>
<td valign="middle" align="left" style=""><bold>5</bold></td>
<td valign="middle" align="left" style=""><bold>766474</bold></td>
<td valign="middle" align="left" style=""><bold>2.31</bold></td>
<td valign="middle" align="left" style=""><bold>1.90-2.79</bold></td>
<td valign="middle" align="left" style=""><bold>&lt;0.000</bold></td>
<td valign="middle" align="left" style=""><bold>92.2</bold></td>
</tr>
<tr>
<td valign="middle" align="left" style=""><bold>Prognosis</bold></td>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style=""><bold>2.27</bold></td>
<td valign="middle" align="left" style=""><bold>1.73-2.99</bold></td>
<td valign="middle" align="left" style=""><bold>0.004</bold></td>
<td valign="middle" align="left" style=""><bold>84.7</bold></td>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Intermediate prognosis</td>
<td valign="middle" align="left" style="">8</td>
<td valign="middle" align="left" style="">4041439</td>
<td valign="middle" align="left" style="">1.57</td>
<td valign="middle" align="left" style="">1.36-1.81</td>
<td valign="middle" align="left" style="">-</td>
<td valign="middle" align="left" style="">0.0</td>
</tr>
<tr>
<td valign="middle" align="left" style=""><bold>&#x2003;Poor prognosis</bold></td>
<td valign="middle" align="left" style=""><bold>8</bold></td>
<td valign="middle" align="left" style=""><bold>2747083</bold></td>
<td valign="middle" align="left" style=""><bold>2.55</bold></td>
<td valign="middle" align="left" style=""><bold>1.89-3.42</bold></td>
<td valign="middle" align="left" style=""><bold>0.01</bold></td>
<td valign="middle" align="left" style=""><bold>73.8</bold></td>
</tr>
<tr>
<td valign="middle" align="left" style=""><bold>Time since diagnosis</bold></td>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style=""><bold>2.98</bold></td>
<td valign="middle" align="left" style=""><bold>2.14-4.16</bold></td>
<td valign="middle" align="left" style=""><bold>0.014</bold></td>
<td valign="middle" align="left" style=""><bold>97.6</bold></td>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Later than 1&#x2009;year</td>
<td valign="middle" align="left" style="">7</td>
<td valign="middle" align="left" style="">581876</td>
<td valign="middle" align="left" style="">2.13</td>
<td valign="middle" align="left" style="">1.43-3.17</td>
<td valign="middle" align="left" style="">-</td>
<td valign="middle" align="left" style="">91.2</td>
</tr>
<tr>
<td valign="middle" align="left" style=""><bold>&#x2003;Within 1year</bold></td>
<td valign="middle" align="left" style=""><bold>7</bold></td>
<td valign="middle" align="left" style=""><bold>787123</bold></td>
<td valign="middle" align="left" style=""><bold>3.96</bold></td>
<td valign="middle" align="left" style=""><bold>2.96-5.32</bold></td>
<td valign="middle" align="left" style=""><bold>&lt;0.000</bold></td>
<td valign="middle" align="left" style=""><bold>93.0</bold></td>
</tr>
<tr>
<td valign="middle" align="left" style="">Geographic region</td>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style="">2.30</td>
<td valign="middle" align="left" style="">1.69-3.12</td>
<td valign="middle" align="left" style="">0.453</td>
<td valign="middle" align="left" style="">97.2</td>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;Europe</td>
<td valign="middle" align="left" style="">9</td>
<td valign="middle" align="left" style="">1341236</td>
<td valign="middle" align="left" style="">1.85</td>
<td valign="middle" align="left" style="">1.56-2.42</td>
<td valign="middle" align="left" style="">-</td>
<td valign="middle" align="left" style="">0.0</td>
</tr>
<tr>
<td valign="middle" align="left" style=""><bold>&#x2003;USA</bold></td>
<td valign="middle" align="left" style=""><bold>10</bold></td>
<td valign="middle" align="left" style=""><bold>4315541</bold></td>
<td valign="middle" align="left" style=""><bold>2.79</bold></td>
<td valign="middle" align="left" style=""><bold>1.50-5.21</bold></td>
<td valign="middle" align="left" style=""><bold>&lt;0.000</bold></td>
<td valign="middle" align="left" style=""><bold>98.4</bold></td>
</tr>
<tr>
<td valign="middle" align="left" style=""><bold>&#x2003;Asia</bold></td>
<td valign="middle" align="left" style=""><bold>10</bold></td>
<td valign="middle" align="left" style=""><bold>1106675</bold></td>
<td valign="middle" align="left" style=""><bold>1.96</bold></td>
<td valign="middle" align="left" style=""><bold>1.58-2.42</bold></td>
<td valign="middle" align="left" style=""><bold>0.004</bold></td>
<td valign="middle" align="left" style=""><bold>81.9</bold></td>
</tr>
<tr>
<td valign="middle" align="left" style="">Year of recruitment</td>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style=""/>
<td valign="middle" align="left" style="">2.30</td>
<td valign="middle" align="left" style="">1.69-3.12</td>
<td valign="middle" align="left" style="">0.153</td>
<td valign="middle" align="left" style="">97.2</td>
</tr>
<tr>
<td valign="middle" align="left" style="">&#x2003;After 2000</td>
<td valign="middle" align="left" style="">7</td>
<td valign="middle" align="left" style="">4963093</td>
<td valign="middle" align="left" style="">1.84</td>
<td valign="middle" align="left" style="">1.67-2.03</td>
<td valign="middle" align="left" style=""><bold>-</bold></td>
<td valign="middle" align="left" style="">30.4</td>
</tr>
<tr>
<td valign="middle" align="left" style=""><bold>&#x2003;Before 2000</bold></td>
<td valign="middle" align="left" style=""><bold>5</bold></td>
<td valign="middle" align="left" style=""><bold>1800359</bold></td>
<td valign="middle" align="left" style=""><bold>2.89</bold></td>
<td valign="middle" align="left" style=""><bold>1.57-5.33</bold></td>
<td valign="middle" align="left" style=""><bold>&lt;0.000</bold></td>
<td valign="middle" align="left" style=""><bold>98.3</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Results are presented for the overall test as well as the comparison of each category compared with the reference category (depicted by a dash &#x2018;&#x2013;&#x2019;). Variables with statistical significance are presented as emboldened. P value is the summary effect of each subgroup in the meta-analysis.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Cancer prognosis and time since diagnosis</title>
<p>The prognosis and time since diagnosis of digestive system tumors significantly influence patients&#x2019; emotional states and survival prospects. Given the generally poor treatment outcomes for most digestive system cancers, we categorized these cancers based on 5-year relative survival rates, defining them as having intermediate prognosis (5-year survival rates between 50&#x2013;90%) or poor prognosis (5-year survival rates &lt;50%) (<xref ref-type="bibr" rid="B25">25</xref>). Subgroup analysis by prognosis revealed notable differences in SMRs among patients (I&#xb2; = 84.7%, P value for heterogeneity = 0.004) in <xref ref-type="supplementary-material" rid="SF2"><bold>Supplementary Figure&#xa0;2</bold></xref>. Specifically, for cancers with intermediate prognosis, such as colorectal cancer, SMR was reduced (SMR&#xa0;=&#xa0;1.57, 95% CI&#xa0;=&#xa0;1.36-1.81, P &lt; 0.000). Conversely, for cancers associated with poor prognosis, including esophageal, liver, pancreatic, and gastric cancers, SMR was higher (SMR&#xa0;=&#xa0;2.55, 95% CI&#xa0;=&#xa0;1.89-3.42, P&#xa0;=&#xa0;0.01), with lower heterogeneity (I&#xb2; = 73.8%; P value for heterogeneity = 0.01, heterogeneity P &lt; 0.05). Furthermore, significant statistical differences were also identified in the subgroup analyses stratified by time since diagnosis, as illustrated in <xref ref-type="supplementary-material" rid="SF3"><bold>Supplementary Figure&#xa0;3</bold></xref>. The included studies were categorized into two cohorts: those within the first year following diagnosis and those beyond the one-year post-diagnosis period. The SMR within the first year after diagnosis was significantly higher than more than one year after diagnosis, with high heterogeneity between studies (I&#xb2; = 93%; P value for heterogeneity &lt; 0.000). A multivariable meta-regression demonstrated that data pertaining to poor-prognosis cancers were redundant to suicide mortality within the first-year post-diagnosis, with poor prognosis emerging as the predominant contributing factor.</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Gender, geographic region and year of recruitment</title>
<p>The SMRs among male patients (SMR&#xa0;=&#xa0;2.31, 95% CI&#xa0;=&#xa0;1.90-2.79, P &lt; 0.000) diagnosed with digestive system cancer exhibited a pronounced elevation compared to that among female patients (SMR&#xa0;=&#xa0;1.97, 95% CI&#xa0;=&#xa0;1.56-2.50, P &lt; 0.000) relative to their respective general populations, but the results did not reach statistical significance (P value for difference = 0.316; I&#xb2; = 87.6%; P value for heterogeneity &lt; &lt;0.000) in <xref ref-type="supplementary-material" rid="SF4"><bold>Supplementary Figure&#xa0;4</bold></xref>. Furthermore, we observed that suicide mortality among patients with digestive system cancers was higher in the United States (SMR&#xa0;=&#xa0;2.79, 95% CI&#xa0;=&#xa0;1.50-5.21, P &lt; 0.000) surpassed those in Europe (SMR&#xa0;=&#xa0;1.85, 95% CI&#xa0;=&#xa0;1.56-2.21, P&#xa0;=&#xa0;0.463) and Asia (SMR&#xa0;=&#xa0;1.96, 95% CI&#xa0;=&#xa0;1.58-2.42, P&#xa0;=&#xa0;0.004) in <xref ref-type="supplementary-material" rid="SF5"><bold>Supplementary Figure&#xa0;5</bold></xref>. Similar variations in suicide mortality were also identified across cohorts with different years of recruitment, as illustrated in <xref ref-type="supplementary-material" rid="SF6"><bold>Supplementary Figure&#xa0;6</bold></xref>. Patients recruited before the year 2000 (SMR&#xa0;=&#xa0;2.89, 95% CI&#xa0;=&#xa0;1.57-5.33, P &lt; 0.000) exhibited noticeably higher suicide mortality compared to those diagnosed after 2000 (SMR&#xa0;=&#xa0;1.84, 95% CI&#xa0;=&#xa0;1.67-2.03, P&#xa0;=&#xa0;0.196). Likewise, no statistically meaningful variations in SMRs were identified across gender (P value for difference = 0.316) and year of recruitment (P&#xa0;value for difference = 0.153), consistent with the absence of regional disparities.</p>
<p>The risk factors were also further categorized based on severity of suicide mortality (low, moderate, and high), as presented in <xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Summary table of risk factors by grade of suicide mortality.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Risk factor</th>
<th valign="middle" align="left">Low risk</th>
<th valign="middle" align="left">Intermediate risk</th>
<th valign="middle" align="left">High risk</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left" style="">Cancer site</td>
<td valign="middle" align="left" style="">-</td>
<td valign="middle" align="left" style="">Colorectum, Liver</td>
<td valign="middle" align="left" style="">Pancreas, Esophagus, Stomach</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Sex</td>
<td valign="middle" align="left" style="">-</td>
<td valign="middle" align="left" style="">Women</td>
<td valign="middle" align="left" style="">Men</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Prognosis</td>
<td valign="middle" align="left" style="">-</td>
<td valign="middle" align="left" style="">Intermediate</td>
<td valign="middle" align="left" style="">Poor</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Time since diagnosis</td>
<td valign="middle" align="left" style="">Later than 1 year</td>
<td valign="middle" align="left" style="">-</td>
<td valign="middle" align="left" style="">Within 1 year</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Geographic region</td>
<td valign="middle" align="left" style="">-</td>
<td valign="middle" align="left" style="">Europe, Australia, Asia</td>
<td valign="middle" align="left" style="">USA</td>
</tr>
<tr>
<td valign="middle" align="left" style="">Year of recruitment</td>
<td valign="middle" align="left" style="">-</td>
<td valign="middle" align="left" style="">After 2000</td>
<td valign="middle" align="left" style="">Before 2000</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Risk factors were stratified according to their SMR. As low risk, an SMR&#x2009;&#x2264;&#x2009;1.50 was defined, risk factors with SMR 1.51&#x2013;1.99 were included as intermediate and high risk was defined as SMR&#x2009;&#x2265;&#x2009;2.00. No data were available for risk categories marked by a dash &#x2018;&#x2013;&#x2019;.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Sensitivity analyses using all 12 eligible studies</title>
<p>We performed a sensitivity analysis utilizing a random-effects model on the 12 eligible studies identified in the systematic review, encompassing a cumulative sample size of 6,763,452 cancer patients in <xref ref-type="supplementary-material" rid="SF7"><bold>Supplementary Figure&#xa0;7</bold></xref>. From methodological, statistical, and clinical perspectives, heterogeneity is primarily associated with patients&#x2019; sex, geographic region, and disease prognosis. Notably, prognosis exerts a significant effect on suicide risk: the poorer the prognosis, the greater the physical, psychological, and economic burdens borne by patients, thereby increasing their susceptibility to suicide. The analysis produced coherent and stable findings. While sample overlap is conceivable, notably within SEER studies, the findings remain consistent with our initial analysis. Specifically, the standardized mortality ratio (SMR) was 2.25 (95% CI&#xa0;=&#xa0;1.89&#x2013;2.66) in the analysis based on 12 studies, compared to 1.95 (95% CI&#xa0;=&#xa0;1.74&#x2013;2.18) based on 9 studies.</p>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Assessment of publication bias</title>
<p>A funnel plot displayed slight asymmetry concerning the pooled SMR across all 12 eligible studies, irrespective of potential sample overlap in <xref ref-type="supplementary-material" rid="SF8"><bold>Supplementary Figure&#xa0;8</bold></xref>. Nevertheless, both Begg&#x2019;s correlation test and Egger&#x2019;s regression test showed inadequate evidence to support the presence of publication bias (Begg&#x2019;s test: P-value = 0.945; Egger&#x2019;s test: P-value = 0.407).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<sec id="s4_1">
<label>4.1</label>
<title>Summary and highlight</title>
<p>Through meta-analysis of 12 high-quality cohort studies, we have discovered that the overall SMR among patients with digestive system cancer is significantly higher than that of the general population, reaching more than twice the level. Especially, our study revealed a 3.9-fold elevation in suicide mortality among patients within the first year after cancer diagnosis and for those with a poor prognosis, their SMR also increases by 2.5 times. Previously, meta-analyses specifically focusing on patients with digestive cancers were nearly scarce, or there has been a lack of comprehensiveness, differences in sample size, and statistical capabilities (<xref ref-type="bibr" rid="B26">26</xref>). There was only one study on suicide among patients with digestive system cancers, and that was based on data from the SEER study (<xref ref-type="bibr" rid="B27">27</xref>). This study yielded valuable insights into the risk of suicide within this population. Nonetheless, this study was limited to patients in the United States and the follow-up period was too short. To comprehensively grasp the multiple factors contributing to suicide, it is imperative to obtain data from more countries and over an extended duration of time. In contradistinction, our meta-analysis transcended the confines of those previous analyses, encompassing a broader array of databases for the literature search. We diligently computed missing SMRs wherever data were accessible, augmenting our analytical rigor. Furthermore, we undertook supplementary analyses, including meta-regression, interaction analyses, and sensitivity analyses, thereby enriching the depth and breadth of our investigation.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Interpretation of results</title>
<sec id="s4_2_1">
<label>4.2.1</label>
<title>Cancer site</title>
<p>Variations in suicide mortality rates among patients with diverse types of digestive system cancer are striking. Statistical evidence revealed that the suicide incidence among colon cancer patients remained relatively subdued, merely 1.5 times that of the general populace (<xref ref-type="bibr" rid="B15">15</xref>b). This suggests a degree of psychological resilience among colon cancer patients, possibly linked to superior treatment outcomes and protracted survival periods (<xref ref-type="bibr" rid="B28">28</xref>). Conversely, the suicide prevalence among those grappling with gastric and hepatic malignancies markedly surpassed that of the general population, exceeding twice the norm (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B21">21</xref>). Such elevated rates can be ascribed to the profound physical agony and compromised quality of life endured throughout the arduous treatment trajectories of gastric and liver cancers (<xref ref-type="bibr" rid="B29">29</xref>). The suicide incidence among esophageal and pancreatic cancer cohorts registered even more starkly, soaring three to fourfold above the general populace (<xref ref-type="bibr" rid="B10">10</xref>a). These malignancies typically portend poor prognoses and survival prospects, coupled with excruciating physical torment and precipitous deteriorations in quality of life during therapeutic interventions (<xref ref-type="bibr" rid="B30">30</xref>). Moreover, owing to their frequent late-stage diagnosis and limited therapeutic efficacy, this compounded sentiments of desolation and hopelessness among patients, amplifying their vulnerability to suicidal ideation (<xref ref-type="bibr" rid="B31">31</xref>). Hence, discerning the divergences in suicide frequencies among patients grappling with distinct cancer types assumes paramount significance for healthcare practitioners and medical teams alike.</p>
</sec>
<sec id="s4_2_2">
<label>4.2.2</label>
<title>Prognosis and time since diagnosis</title>
<p>The association between cancer prognosis and elevated suicide mortality rates may reflect a causal relationship with tumor staging. Typically, as cancer progresses to advanced stages and the prognosis worsens, it leads to a decline in survival (<xref ref-type="bibr" rid="B32">32</xref>). Concurrently, patients facing late-stage cancer often endure heightened physical pain, psychological stress, and financial burdens, while also experiencing intensified feelings of despair and helplessness (<xref ref-type="bibr" rid="B33">33</xref>). In such circumstances, patients often necessitate more aggressive treatments, including chemotherapy, radiotherapy, or surgery, which may exacerbate physical discomfort and malaise, thereby amplifying psychological distress and fostering unstable emotions, culminating in suicidal (<xref ref-type="bibr" rid="B34">34</xref>).</p>
<p>Furthermore, the time since diagnosis emerges as another pivotal determinant of suicide mortality rates. Studies elucidate that cancer survivors within the initial year after diagnosis exhibit markedly escalated SMRs in comparison to those surpassing the one-year mark post-diagnosis (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B23">23</xref>). This revelation intimates a plausible correlation between heightened suicide incidence among early-stage survivors and the unfavorable prognostic outlook associated with their malignancy. Throughout the first year subsequent to cancer diagnosis, individuals typically grapple with profound psychological strain and oscillations in emotional stability prompted by the diagnostic revelation (<xref ref-type="bibr" rid="B35">35</xref>). Moreover, they confront the necessity of acclimating to shifts in treatment modalities and lifestyle adjustments (<xref ref-type="bibr" rid="B36">36</xref>). Such adversities are poised to compound their psychological burdens and precipitate a profound sense of despondency, thereby engendering an augmented susceptibility to suicidal intention.</p>
</sec>
<sec id="s4_2_3">
<label>4.2.3</label>
<title>Region and gender</title>
<p>The geographical region stands out as a significant determinant of suicide rates among patients grappling with digestive system cancer. Studies underscore a stark contrast in SMRs between cancer patients in the United States versus those in Europe and Asia (<xref ref-type="bibr" rid="B37">37</xref>). This discrepancy likely stems from disparities within the healthcare systems (<xref ref-type="bibr" rid="B10">10</xref>a). Although health care expenditure per capita is higher in the USA than in any other country, more than 37 million Americans do not have health insurance, and 41 million more have inadequate access to care (<xref ref-type="bibr" rid="B38">38</xref>). Previous studies using data from the early 2000s demonstrated that patients who were uninsured were more likely to present with late-stage disease and had worse short-term survival after cancer diagnosis in the United States (<xref ref-type="bibr" rid="B39">39</xref>). Consequently, many cancer patients in the U.S. face exorbitant medical expenses and treatment costs, imposing significant financial strain on both patients and their families, thereby heightening the suicide risk (<xref ref-type="bibr" rid="B40">40</xref>). Conversely, several European and Asian nations embrace universal healthcare systems, providing broader medical insurance coverage, and some even offer free or low-cost medical services (<xref ref-type="bibr" rid="B41">41</xref>). This ensures patients access to more comprehensive and affordable medical care, alleviating financial burdens during treatment and consequently reducing suicide risks. Furthermore, the impact of cultural and social beliefs on suicide rates cannot be overstated. American society tends to prioritize individual rights and freedoms (<xref ref-type="bibr" rid="B42">42</xref>), potentially fostering a greater inclination towards suicide as an escape from illness or adversity. Conversely, cultures in select European and Asian regions place a stronger emphasis on social cohesion and familial support, harboring more negative perceptions towards suicide, thus mitigating the propensity for patients to engage in suicidal behavior (<xref ref-type="bibr" rid="B43">43</xref>).</p>
<p>We&#x2019;ve noticed that male cancer patients tend to face a significantly higher risk of suicide compared to their female counterparts (<xref ref-type="bibr" rid="B44">44</xref>). Gender distinctions remain highly relevant when considering the mental well-being and suicide susceptibility of cancer patients. Men might be more inclined to turn to aggressive or self-destructive behaviors as coping mechanisms for inner turmoil and hopelessness, further amplifying their chances of suicidal thoughts or actions (<xref ref-type="bibr" rid="B45">45</xref>). Conversely, although not statistically confirmed, the observed trend of lower suicide risk among female cancer patients could possibly be linked to their greater adaptability and stronger support networks, which offer them enhanced psychological resilience compared to their male counterparts (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B47">47</xref>).</p>
<p>This study may be one of the most comprehensive and largest meta-analyses to date on the suicide mortality rates among patients with digestive system cancer. We provide important insights for better understanding the factors associated with suicide risk among patients with digestive system cancer. The findings of this research can prompt people to pay attention to the mental health of patients with digestive system cancer. Therefore, apart from focusing solely on medical treatment, it is essential to consider comprehensive support and intervention measures for mental health. This may involve providing psychological counseling services, establishing social support networks, and promoting psychological care education for patients and their families (<xref ref-type="bibr" rid="B48">48</xref>). Through collaborative efforts of multidisciplinary medical teams, we can provide them with better support and care.</p>
</sec>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>Our results suggest that patients with digestive system cancer exhibit a significantly higher SMR compared to the general population, with suicide risks being closely associated with factors such as cancer type, sex, cancer prognosis, time after diagnosis, geographic region and year of recruitment. Especially, the elevated risk of suicide among patients with poor-prognosis cancers, as well as in countries where health insurance is not universal and illness can financially devastate not only the patient but also the entire family. Thus, enhanced attention and the implementation of more effective therapeutic and preventive strategies are imperative for this high-risk population. And the key limitation is that comprehensive and systematic treatment strategies for psychological disorders in cancer patients have not been established, highlighting the need for continued investigation.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>. Further inquiries can be directed to the corresponding authors.</p></sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>YW: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Investigation, Formal analysis, Data curation, Conceptualization. XY: Data curation, Formal analysis, Writing &#x2013; review &amp; editing. MS: Data curation, Formal analysis, Writing &#x2013; review &amp; editing. YL: Data curation, Formal analysis, Writing &#x2013; review &amp; editing. DJ: Writing &#x2013; review &amp; editing, Conceptualization, Supervision. XZ: Formal analysis, Writing &#x2013; original draft, Funding acquisition, Conceptualization, Writing &#x2013; review &amp; editing.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>We would like to thank all the staff for their hard work and dedication in implementing the evaluation part of this study.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work 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="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s11" 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 id="s12" 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/fonc.2026.1655968/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2026.1655968/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Image1.png" id="SF1" mimetype="image/png"><label>Supplementary Figure&#xa0;1</label>
<caption>
<p>Forest plot for subgroup analysis of cancer types.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Image2.png" id="SF2" mimetype="image/png"><label>Supplementary Figure&#xa0;2</label>
<caption>
<p>Prognostic subgroup analysis forest plot.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Image3.png" id="SF3" mimetype="image/png"><label>Supplementary Figure&#xa0;3</label>
<caption>
<p>Subgroup analysis of forest plot about post-diagnostic years.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Image4.png" id="SF4" mimetype="image/png"><label>Supplementary Figure&#xa0;4</label>
<caption>
<p>Sex subgroup analysis forest plot.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Image5.png" id="SF5" mimetype="image/png"><label>Supplementary Figure&#xa0;5</label>
<caption>
<p>Regional subgroup analysis forest plot.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Image6.png" id="SF6" mimetype="image/png"><label>Supplementary Figure&#xa0;6</label>
<caption>
<p>Years of recruitment subgroup forest plot.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Image7.png" id="SF7" mimetype="image/png"><label>Supplementary Figure&#xa0;7</label>
<caption>
<p>Sensitivity analysis plot.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Image8.png" id="SF8" mimetype="image/png"><label>Supplementary Figure&#xa0;8</label>
<caption>
<p>Funnel plot.</p>
</caption></supplementary-material>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table2.docx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/></sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<mixed-citation publication-type="journal">
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