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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Surg.</journal-id>
<journal-title>Frontiers in Surgery</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Surg.</abbrev-journal-title>
<issn pub-type="epub">2296-875X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fsurg.2022.850265</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Surgery</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Impact of Preoperative Type 2 Diabetes Mellitus on the Outcomes of Gastric Cancer Patients Following Gastrectomy: A Propensity Score Matching Analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Cheng</surname> <given-names>Yu-Xi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1368514/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Tao</surname> <given-names>Wei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1442644/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Kang</surname> <given-names>Bing</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1442730/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Xiao-Yu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1368118/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Yuan</surname> <given-names>Chao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1442360/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Bin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1393909/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Peng</surname> <given-names>Dong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1303325/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Gastrointestinal Surgery, The First Affiliated Hospital of Chongqing Medical University</institution>, <addr-line>Chongqing</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Clinical Nutrition, The First Affiliated Hospital of Chongqing Medical University</institution>, <addr-line>Chongqing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Sungsoo Park, Korea University, South Korea</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Yeongkeun Kwon, Korea University, South Korea; Jong-Han Kim, Korea University, South Korea</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Dong Peng <email>carry_dong&#x00040;126.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Surgical Oncology, a section of the journal Frontiers in Surgery</p></fn>
<fn fn-type="equal" id="fn002"><p>&#x02020;These authors have contributed equally to this work</p></fn></author-notes>
<pub-date pub-type="epub">
<day>08</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>850265</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>02</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Cheng, Tao, Kang, Liu, Yuan, Zhang and Peng.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Cheng, Tao, Kang, Liu, Yuan, Zhang and Peng</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license> </permissions>
<abstract>
<sec>
<title>Purpose</title>
<p>The current study aims to explore the outcomes of type 2 diabetes mellitus (T2DM) on gastric cancer patients following gastrectomy through propensity score matching (PSM) analysis.</p>
</sec>
<sec>
<title>Methods</title>
<p>A retrospective study of gastric cancer patients following gastrectomy was conducted in a single clinical center from January 2014 to December 2019. The short-term outcomes, overall survival (OS) and disease-free survival (DFS) were analyzed between T2DM group and Non-T2DM group.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 703 patients were enrolled in this study. After 1:1 PSM, 84 patients in T2DM group and 84 patients in Non-T2DM were matched for final analysis. No significant difference was found in terms of operation time, intra-operative blood loss, retrieved lymph nodes, postoperative stay, blood transfusion and complications between T2DM group and Non-T2DM group (<italic>p</italic> &#x0003E; 0.05). The Kaplan-Meier curve implied that T2DM had no impact on OS or DFS. Cox regression was conducted to identify predictive factors for prognosis. Body mass index (BMI) (<italic>p</italic> = 0.039 &#x0003C; 0.05, HR = 0.725, 95% CI = 0.534&#x02013;0.983), pre-operative lymphocyte (<italic>p</italic> = 0.017 &#x0003C; 0.05, HR = 0.678, 95% CI = 0.493&#x02013;0.932), pathological tumor node metastasis (pTNM) stage (<italic>p</italic> = 0.000 &#x0003C; 0.05, HR = 2.619, 95% CI = 2.048&#x02013;3.349) and complications (<italic>p</italic> = 0.006 &#x0003C; 0.05, HR = 1.528, 95% CI = 1.132&#x02013;2.061) were predictive factors for OS, and BMI (<italic>p</italic> = 0.013 &#x0003C; 0.05, HR = 0.524, 95% CI = 0.315&#x02013;0.872), pTNM stage (<italic>p</italic> = 0.000 &#x0003C; 0.05, HR = 2.619, 95% CI = 2.048&#x02013;3.349) and complications (<italic>p</italic> = 0.008 &#x0003C; 0.05, HR = 1.892, 95% CI = 1.179&#x02013;3.036) were independent predictive factors for DFS.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>T2DM did not have an impact on gastric cancer patients following gastrectomy in terms of short-term outcomes and prognosis.</p>
</sec></abstract>
<kwd-group>
<kwd>gastric cancer</kwd>
<kwd>type 2 diabetes mellitus</kwd>
<kwd>propensity score matching</kwd>
<kwd>outcome</kwd>
<kwd>prognosis</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="44"/>
<page-count count="10"/>
<word-count count="5227"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Gastric cancer is the fifth most common cancer worldwide and the third leading cause of cancer-related deaths (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). More than one million gastric cancer cases were newly diagnosed worldwide each year, of which 44% were diagnosed in China (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B3">3</xref>). Although the expanding application of multidisciplinary team boomed in gastric cancer, surgery is the only curing method for resectable cases (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>Type 2 diabetes mellitus (T2DM) is a metabolic disease with a high incidence worldwide, and it is also one of the leading causes of death in the world (<xref ref-type="bibr" rid="B6">6</xref>). As was reported, 493 million people were affected by T2DM in 2019, and 700 million people would develop T2DM in 2045 (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>It has been reported that T2DM could increase the incidence of gastric cancer (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>), however, the impact of T2DM on prognosis after gastrectomy remained controversial (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). The propensity score matching (PSM) method could reduce the interference caused by the mismatch of baseline information (<xref ref-type="bibr" rid="B13">13</xref>). However, there were few studies using PSM analysis to explore the effect of T2DM on gastrectomy (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B14">14</xref>). Therefore, the current study aims to explore the outcomes of T2DM on gastric cancer patients following gastrectomy through PSM.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Patients</title>
<p>A retrospective study of gastric cancer patients following gastrectomy was conducted in a single clinical center from January 2014 to December 2019, which was carried out in accordance with the World Medical Association Declaration of Helsinki. This study was reviewed and approved by the Institutional Review Board of local hospital (2021-336) and all the patients signed informed consent.</p>
</sec>
<sec>
<title>Inclusion and Exclusion Criteria</title>
<p>Gastric cancer patients who underwent gastrectomy were included in this study (<italic>n</italic> = 855), and the patients were excluded by the following criteria: 1, combined with other malignant tumors (<italic>n</italic> = 17); 2, palliative gastrectomy (<italic>n</italic> = 33); 3, remnants of gastric cancer (14); and 4, incomplete medical data (<italic>n</italic> = 88). Finally, a total of 703 patients were included in this study, and the flow of selection was shown in <xref ref-type="fig" rid="F1">Figure 1</xref>.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Flow-chart of patient selection.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fsurg-09-850265-g0001.tif"/>
</fig>
</sec>
<sec>
<title>Surgery Management</title>
<p>Patients were confirmed gastric cancer pathologically before surgery, and underwent gastrectomy plus D2 lymph node dissection according to the Japanese gastric cancer treatment guidelines (<xref ref-type="bibr" rid="B15">15</xref>). All the surgeries were conducted by two surgeons who had more than 10 years&#x00027; experience in a team. Patients were regularly followed up every 3 months in the first 2 years and every 6 months in the following 3 years.</p>
</sec>
<sec>
<title>Definitions</title>
<p>We classified the postoperative complications in accordance with the Clavien-Dindo classification (<xref ref-type="bibr" rid="B16">16</xref>). Overall survival (OS) was defined as the time from gastrectomy to death or last follow-up, and disease-free survival (DFS) was defined as the time from gastrectomy to recurrence, death or last follow-up.</p>
<p>The remission of T2DM was divided into three situations: complete remission, partial remission and no remission (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). Complete remission was defined as follows: fasting blood glucose (FBG) returned to a normal range with no requirement for medication. Partial remission was defined as follows: FBG returned to an improved level with reduced medication. No remission was defined as follows: no changes in medication, more medication requirements or aggravation in FBG levels after surgery.</p>
</sec>
<sec>
<title>Data Collection</title>
<p>The perioperative information was retrospectively collected through outpatient and inpatient system including baseline information, surgical information and postoperative information. The baseline information included age, sex, body mass index (BMI), T2DM duration, anti-diabetes medication, T2DM status after gastrectomy, neo-adjuvant chemotherapy, pre-operative hemoglobin, pre-operative albumin, pre-operative lymphocyte; The surgical information included type of resection, surgery methods, reconstruction methods, operation time, intra-operative blood loss and retrieved lymph nodes; The postoperative information included pathological stage, complications, blood transfusion and postoperative hospital stay; The follow-up information included OS and DFS which was conducted by inpatient system and telephone interviews.</p>
</sec>
<sec>
<title>PSM</title>
<p>To minimize the selection bias of patients, PSM was conducted between T2DM group and Non-T2DM group. Nearest neighbor matching was performed without replacement at a 1:1 ratio and a caliper width with a 0.01 standard deviation was specified. The baseline information was matched including age, sex, BMI, neo-adjuvant chemotherapy, pre-operative hemoglobin, pre-operative albumin, type of resection, surgery methods, reconstruction methods and pathological stage.</p>
</sec>
<sec>
<title>Statistical Analysis</title>
<p>Continuous variables are expressed as the mean &#x000B1; SD, and independent-sample <italic>t</italic>-test was used to compare the difference between T2DM group and Non-T2DM group. Frequency variables are expressed as n (%), and Chi-square test or Fisher&#x00027;s exact test was used. The Kaplan-Meier curve was conducted to compare T2DM on different pathological stage, and cox regression analyses were performed to identify predictive factors for OS and DFS. Data were analyzed using SPSS (version 25.0) statistical software. A bilateral <italic>p</italic>-value of &#x0003C;  0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Patient Information Before PSM</title>
<p>A total of 703 patients were enrolled in the current study according to the inclusion and exclusion criteria. There were 84 T2DM patients and 619 Non-T2DM patients. The clinical characteristics of the 84 T2DM patients including age, BMI, sex, combined hypertension, T2DM duration, anti-diabetes medication and T2DM status after gastrectomy were concluded in <xref ref-type="table" rid="T1">Table 1</xref>. In this study, 47.6% of patients had T2DM remission after gastrectomy.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Clinical characteristics of patients with concurrent gastric cancer and T2DM.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Characteristics</bold></th>
<th valign="top" align="center"><bold>No. 84</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center">64.1 &#x000B1; 9.7</td>
</tr>
<tr>
<td valign="top" align="left">BMI (kg/m<sup>2</sup>)</td>
<td valign="top" align="center">23.5 &#x000B1; 3.3</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Sex</bold></td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">60 (71.4%)</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">24 (28.6%)</td>
</tr>
<tr>
<td valign="top" align="left">Combined hypertension</td>
<td valign="top" align="center">36 (42.9%)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>T2DM duration</bold></td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x0003C;5 years</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x02265; 5 years</td>
<td valign="top" align="center">37 (44.0%) 47 (56.0%)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Anti-diabetes</bold></td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Oral hypoglycemic agent only</td>
<td valign="top" align="center">68 (81.0%)</td>
</tr>
<tr>
<td valign="top" align="left">Insulin (with or without oral hypoglycemic agent)</td>
<td valign="top" align="center">16 (19.0%)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>T2DM status after gastrectomy</bold></td>
<td/>
</tr>
<tr>
<td valign="top" align="left">No remission</td>
<td valign="top" align="center">44 (52.4%)</td>
</tr>
<tr>
<td valign="top" align="left">Partial remission</td>
<td valign="top" align="center">24 (28.6%)</td>
</tr>
<tr>
<td valign="top" align="left">Complete remission</td>
<td valign="top" align="center">16 (19.0%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Variables are expressed as the mean &#x000B1; SD, n (%)</italic>.</p>
<p><italic>T2DM, type 2 diabetes mellitus; BMI, body mass index</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>Besides, the patient information including age, sex, BMI, neo-adjuvant chemotherapy, pre-operative hemoglobin, pre-operative albumin, type of resection, surgery methods, reconstruction methods and pathological stage were compared between the two groups. T2DM group had higher age (<italic>p</italic> = 0.004 &#x0003C; 0.05), BMI (<italic>p</italic> = 0.000 &#x0003C; 0.05), open surgery (<italic>p</italic> = 0.014 &#x0003C; 0.05), pre-operative hemoglobin (<italic>p</italic> = 0.008 &#x0003C; 0.05), and pre-operative albumin (<italic>p</italic> = 0.043 &#x0003C; 0.05). No significant difference was found in type of resection, reconstruction methods and pathological stage (<italic>p</italic> &#x0003E; 0.05) (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Baseline characteristics before propensity score matching.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Characteristics</bold></th>
<th valign="top" align="center"><bold>T2DM (84)</bold></th>
<th valign="top" align="center"><bold>Non-T2DM (619)</bold></th>
<th valign="top" align="center"><bold>t/&#x003C7;<sup>2</sup> value</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center">64.1 &#x000B1; 9.7</td>
<td valign="top" align="center">60.6 &#x000B1; 10.6</td>
<td valign="top" align="center">&#x02212;2.856</td>
<td valign="top" align="center">0.004&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td/>
<td/>
<td valign="top" align="center">0.009</td>
<td valign="top" align="center">0.923</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0; Male</td>
<td valign="top" align="center">60 (71.4%)</td>
<td valign="top" align="center">439 (70.9%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0; Female</td>
<td valign="top" align="center">24 (28.6%)</td>
<td valign="top" align="center">180 (29.1%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">BMI (kg/m<sup>2</sup>)</td>
<td valign="top" align="center">23.5 &#x000B1; 3.3</td>
<td valign="top" align="center">22.1 &#x000B1; 3.1</td>
<td valign="top" align="center">&#x02212;3.881</td>
<td valign="top" align="center">0.000&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">Neo-adjuvant chemotherapy</td>
<td valign="top" align="center">5 (6.0%)</td>
<td valign="top" align="center">35 (5.7%)</td>
<td valign="top" align="center">0.012</td>
<td valign="top" align="center">0.805</td>
</tr>
<tr>
<td valign="top" align="left">Pre-operative hemoglobin (g/L)</td>
<td valign="top" align="center">112.5 &#x000B1; 30.9</td>
<td valign="top" align="center">121.1 &#x000B1; 27.5</td>
<td valign="top" align="center">2.643</td>
<td valign="top" align="center">0.008&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">Pre-operative albumin (g/L)</td>
<td valign="top" align="center">38.3 &#x000B1; 6.4</td>
<td valign="top" align="center">39.8 &#x000B1; 6.1</td>
<td valign="top" align="center">2.032</td>
<td valign="top" align="center">0.043&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">Type of resection</td>
<td/>
<td/>
<td valign="top" align="center">0.457</td>
<td valign="top" align="center">0.499</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0; Subtotal gastrectomy</td>
<td valign="top" align="center">56 (66.7%)</td>
<td valign="top" align="center">435 (70.3%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0; Total gastrectomy</td>
<td valign="top" align="center">28 (33.3%)</td>
<td valign="top" align="center">184 (29.7%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Open surgery</td>
<td valign="top" align="center">6 (7.1%)</td>
<td valign="top" align="center">12 (1.9%)</td>
<td valign="top" align="center">8.029</td>
<td valign="top" align="center">0.014&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">Reconstruction methods</td>
<td/>
<td/>
<td valign="top" align="center">1.913</td>
<td valign="top" align="center">0.384</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0; B-I</td>
<td valign="top" align="center">33 (39.3%)</td>
<td valign="top" align="center">290 (46.8%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0; B-II</td>
<td valign="top" align="center">17 (20.2%)</td>
<td valign="top" align="center">120 (19.4%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0; R-Y</td>
<td valign="top" align="center">34 (40.5%)</td>
<td valign="top" align="center">209 (33.8%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">pTNM stage</td>
<td/>
<td/>
<td valign="top" align="center">5.620</td>
<td valign="top" align="center">0.060</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0; I</td>
<td valign="top" align="center">21 (25.0%)</td>
<td valign="top" align="center">193 (31.2%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0; II</td>
<td valign="top" align="center">14 (16.7%)</td>
<td valign="top" align="center">149 (24.1%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0; III</td>
<td valign="top" align="center">49 (58.3%)</td>
<td valign="top" align="center">277 (44.7%)</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Variables are expressed as the mean &#x000B1; SD, n (%), &#x0002A;P &#x0003C; 0.05</italic>.</p>
<p><italic>T2DM, type 2 diabetes mellitus; BMI, body mass index; B-I, Billroth I reconstruction; B-II, Billroth II reconstruction; R-Y, Roux-en-Y reconstruction; pTNM, pathological tumor node metastasis</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>PSM Analysis</title>
<p>There were differences between T2DM group and Non-T2DM group, therefore, PSM was conducted to minimize the difference. After 1:1 PSM, 84 patients in T2DM group and 84 patients in Non-T2DM were matched for final analysis. There was no difference in terms of age, sex, BMI, neo-adjuvant chemotherapy, pre-operative hemoglobin, pre-operative albumin, type of resection, surgery methods, reconstruction methods and pathological stage (<italic>p</italic> &#x0003E;  0.05) (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Baseline characteristics after propensity score matching.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Characteristics</bold></th>
<th valign="top" align="center"><bold>T2DM (84)</bold></th>
<th valign="top" align="center"><bold>Non-T2DM (84)</bold></th>
<th valign="top" align="center"><bold>t/&#x003C7;<sup>2</sup> value</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (year)</td>
<td valign="top" align="center">64.1 &#x000B1; 9.7</td>
<td valign="top" align="center">62.9 &#x000B1; 9.5</td>
<td valign="top" align="center">&#x02212;0.863</td>
<td valign="top" align="center">0.389</td>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td/>
<td/>
<td valign="top" align="center">0.029</td>
<td valign="top" align="center">0.865</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0; Male</td>
<td valign="top" align="center">60 (71.4%)</td>
<td valign="top" align="center">59 (70.2%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0; Female</td>
<td valign="top" align="center">24 (28.6%)</td>
<td valign="top" align="center">25 (29.8%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">BMI (kg/m<sup>2</sup>)</td>
<td valign="top" align="center">23.5 &#x000B1; 3.3</td>
<td valign="top" align="center">23.5 &#x000B1; 3.2</td>
<td valign="top" align="center">&#x02212;0.002</td>
<td valign="top" align="center">0.998</td>
</tr>
<tr>
<td valign="top" align="left">Neo-adjuvant chemotherapy</td>
<td valign="top" align="center">5 (6.0%)</td>
<td valign="top" align="center">2 (2.4%)</td>
<td valign="top" align="center">1.342</td>
<td valign="top" align="center">0.443</td>
</tr>
<tr>
<td valign="top" align="left">Pre-operative hemoglobin (g/L)</td>
<td valign="top" align="center">112.5 &#x000B1; 30.9</td>
<td valign="top" align="center">111.1 &#x000B1; 30.3</td>
<td valign="top" align="center">&#x02212;0.290</td>
<td valign="top" align="center">0.772</td>
</tr>
<tr>
<td valign="top" align="left">Pre-operative albumin (g/L)</td>
<td valign="top" align="center">38.3 &#x000B1; 6.4</td>
<td valign="top" align="center">38.6 &#x000B1; 5.8</td>
<td valign="top" align="center">0.339</td>
<td valign="top" align="center">0.735</td>
</tr>
<tr>
<td valign="top" align="left">Type of resection</td>
<td/>
<td/>
<td valign="top" align="center">1.244</td>
<td valign="top" align="center">0.265</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0; Subtotal gastrectomy</td>
<td valign="top" align="center">56 (66.7%)</td>
<td valign="top" align="center">49 (58.3%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0; Total gastrectomy</td>
<td valign="top" align="center">28 (33.3%)</td>
<td valign="top" align="center">35 (41.7%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Open surgery</td>
<td valign="top" align="center">6 (7.1%)</td>
<td valign="top" align="center">4 (4.8%)</td>
<td valign="top" align="center">0.425</td>
<td valign="top" align="center">0.514</td>
</tr>
<tr>
<td valign="top" align="left">Reconstruction methods</td>
<td/>
<td/>
<td valign="top" align="center">0.267</td>
<td valign="top" align="center">0.875</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0; B-I</td>
<td valign="top" align="center">33 (39.3%)</td>
<td valign="top" align="center">32 (38.1%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0; B-II</td>
<td valign="top" align="center">17 (20.2%)</td>
<td valign="top" align="center">15 (17.9%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0; R-Y</td>
<td valign="top" align="center">34 (40.5%)</td>
<td valign="top" align="center">37 (44.0%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">pTNM stage</td>
<td/>
<td/>
<td valign="top" align="center">4.673</td>
<td valign="top" align="center">0.097</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0; I</td>
<td valign="top" align="center">21 (25.0%)</td>
<td valign="top" align="center">14 (16.7%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0; II</td>
<td valign="top" align="center">14 (16.7%)</td>
<td valign="top" align="center">25 (29.8%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0; III</td>
<td valign="top" align="center">49 (58.3%)</td>
<td valign="top" align="center">45 (53.5%)</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Variables are expressed as the mean &#x000B1; SD, n (%)</italic>.</p>
<p><italic>T2DM, type 2 diabetes mellitus; BMI, body mass index; B-I, Billroth I reconstruction; B-II, Billroth II reconstruction; R-Y, Roux-en-Y reconstruction; pTNM, pathological tumor node metastasis</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Short-Term Outcomes</title>
<p>We compared the operation time, intra-operative blood loss, retrieved lymph nodes, postoperative stay, blood transfusion and complications between T2DM group and Non-T2DM group after PSM. However, no significant difference was found (<italic>p</italic> &#x0003E; 0.05) (<xref ref-type="table" rid="T4">Table 4</xref>).</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Short-term outcomes after propensity score matching.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Characteristics</bold></th>
<th valign="top" align="center"><bold>T2DM (84)</bold></th>
<th valign="top" align="center"><bold>Non-T2DM (84)</bold></th>
<th valign="top" align="center"><bold>t/&#x003C7;<sup>2</sup> value</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Operation time (minutes)</td>
<td valign="top" align="center">223.0 &#x000B1; 65.1</td>
<td valign="top" align="center">247.9 &#x000B1; 106.4</td>
<td valign="top" align="center">1.828</td>
<td valign="top" align="center">0.069</td>
</tr>
<tr>
<td valign="top" align="left">Intra-operative blood loss (ml)</td>
<td valign="top" align="center">137.5 &#x000B1; 158.5</td>
<td valign="top" align="center">190.8 &#x000B1; 360.0</td>
<td valign="top" align="center">&#x02212;0.851</td>
<td valign="top" align="center">0.396</td>
</tr>
<tr>
<td valign="top" align="left">Retrieved lymph nodes</td>
<td valign="top" align="center">19.5 &#x000B1; 9.9</td>
<td valign="top" align="center">21.7 &#x000B1; 9.2</td>
<td valign="top" align="center">1.489</td>
<td valign="top" align="center">0.138</td>
</tr>
<tr>
<td valign="top" align="left">Postoperative hospital stay (days)</td>
<td valign="top" align="center">13.4 &#x000B1; 7.8</td>
<td valign="top" align="center">14.9 &#x000B1; 18.2</td>
<td valign="top" align="center">0.732</td>
<td valign="top" align="center">0.465</td>
</tr>
<tr>
<td valign="top" align="left">Blood transfusion</td>
<td valign="top" align="center">14 (16.7%)</td>
<td valign="top" align="center">7 (8.3%)</td>
<td valign="top" align="center">2.667</td>
<td valign="top" align="center">0.102</td>
</tr>
<tr>
<td valign="top" align="left">Overall complications</td>
<td valign="top" align="center">24 (28.6%)</td>
<td valign="top" align="center">27 (32.1%)</td>
<td valign="top" align="center">0.253</td>
<td valign="top" align="center">0.615</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Variables are expressed as the mean &#x000B1; SD, n (%)</italic>.</p>
<p><italic>T2DM, type 2 diabetes mellitus</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Prognosis</title>
<p>The medium follow-up time was 29 (1&#x02013;101) months. The Kaplan-Meier curve was conducted to compare T2DM on different pathological stages. No significant difference was found in all stages (<italic>p</italic> = 0.682), stage I (<italic>p</italic> = 0.317), stage II (<italic>p</italic> = 0.208) or stage III (<italic>p</italic> = 0.689) in terms of OS, and furthermore, there were no differences in all stages (<italic>p</italic> = 0.378), stage I (<italic>p</italic> = 0.317), stage II (<italic>p</italic> = 0.224) or stage III (<italic>p</italic> = 0.503) in terms of DFS (<xref ref-type="fig" rid="F2">Figures 2</xref>, <xref ref-type="fig" rid="F3">3</xref>).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Comparison of the OS between T2DM group and Non-T2DM group. <bold>(A)</bold> all stages; <bold>(B)</bold> stage I; <bold>(C)</bold> stage II; <bold>(D)</bold> stage III. OS, overall survival; T2DM, type 2 diabetes mellitus.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fsurg-09-850265-g0002.tif"/>
</fig>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Comparison of the DFS between T2DM group and Non-T2DM group. <bold>(A)</bold> all stages; <bold>(B)</bold> stage I; <bold>(C)</bold> stage II; <bold>(D)</bold> stage III. DFS, disease free survival; T2DM, type 2 diabetes mellitus.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fsurg-09-850265-g0003.tif"/>
</fig>
</sec>
<sec>
<title>Cox Regression</title>
<p>Cox regression was conducted to identify predictive factors for prognosis. In terms of OS, BMI (<italic>p</italic> = 0.039 &#x0003C; 0.05, HR = 0.725, 95% CI = 0.534&#x02013;0.983), pre-operative lymphocyte (<italic>p</italic> = 0.017 &#x0003C; 0.05, HR = 0.678, 95% CI = 0.493&#x02013;0.932), pathological tumor node metastasis (pTNM) stage (<italic>p</italic> = 0.000 &#x0003C; 0.05, HR = 2.619, 95% CI = 2.048&#x02013;3.349) and complications (<italic>p</italic> = 0.006 &#x0003C; 0.05, HR = 1.528, 95% CI = 1.132&#x02013;2.061) were predictive factors. In terms of DFS, BMI (<italic>p</italic> = 0.013 &#x0003C; 0.05, HR = 0.524, 95% CI = 0.315&#x02013;0.872), pTNM stage (<italic>p</italic> = 0.000 &#x0003C; 0.05, HR = 2.619, 95% CI = 2.048-3.349) and complications (<italic>p</italic> = 0.008 &#x0003C; 0.05, HR = 1.892, 95% CI = 1.179&#x02013;3.036) were independent prognostic factors. In addition, T2DM was not the predictive factor for OS (<italic>p</italic> = 0.595 &#x0003E; 0.05, HR = 0.876, 95% CI = 0.538&#x02013;1.426) or DFS (<italic>p</italic> = 0.211 &#x0003E; 0.05, HR = 1.509, 95% CI = 0.792&#x02013;2.874) (<xref ref-type="table" rid="T5">Tables 5</xref>, <xref ref-type="table" rid="T6">6</xref>).</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Univariate and multivariate analysis of overall survival.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Risk factors</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Univariate analysis</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Multivariate analysis</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>HR (95% CI)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
<th valign="top" align="center"><bold>HR (95% CI)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years) (&#x0003E;/ &#x02264; 62.0)</td>
<td valign="top" align="center">1.326 (0.993&#x02013;1.771)</td>
<td valign="top" align="center">0.056</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Sex (female/male)</td>
<td valign="top" align="center">1.028 (0.747&#x02013;1.414)</td>
<td valign="top" align="center">0.867</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">BMI (kg/m<sup>2</sup>) (&#x0003E;/ &#x02264; 22.2)</td>
<td valign="top" align="center">0.629 (0.468&#x02013;0.846)</td>
<td valign="top" align="center">0.002&#x0002A;</td>
<td valign="top" align="center">0.725 (0.534&#x02013;0.983)</td>
<td valign="top" align="center">0.039&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">T2DM (yes/no)</td>
<td valign="top" align="center">0.876 (0.538&#x02013;1.426)</td>
<td valign="top" align="center">0.595</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Pre-operative hemoglobin (g/L) (&#x0003E;/ &#x02264; 125.0)</td>
<td valign="top" align="center">0.583 (0.433&#x02013;0.786)</td>
<td valign="top" align="center">0.000&#x0002A;</td>
<td valign="top" align="center">0.890 (0.637&#x02013;1.243)</td>
<td valign="top" align="center">0.495</td>
</tr>
<tr>
<td valign="top" align="left">Pre-operative albumin (g/L) (&#x0003E;/ &#x02264; 41.0)</td>
<td valign="top" align="center">0.580 (0.423&#x02013;0.795)</td>
<td valign="top" align="center">0.001&#x0002A;</td>
<td valign="top" align="center">0.808 (0.573&#x02013;1.139)</td>
<td valign="top" align="center">0.223</td>
</tr>
<tr>
<td valign="top" align="left">Pre-operative lymphocyte (10<sup>9</sup>/L) (&#x0003E;/ &#x02264; 1.4)</td>
<td valign="top" align="center">0.534 (0.394&#x02013;0.722)</td>
<td valign="top" align="center">0.000&#x0002A;</td>
<td valign="top" align="center">0.678 (0.493&#x02013;0.932)</td>
<td valign="top" align="center">0.017&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">Type of resection (Subtotal gastrectomy/Total gastrectomy)</td>
<td valign="top" align="center">2.432 (1.818&#x02013;3.252)</td>
<td valign="top" align="center">0.000&#x0002A;</td>
<td valign="top" align="center">1.403 (0.790&#x02013;2.490)</td>
<td valign="top" align="center">0.248</td>
</tr>
<tr>
<td valign="top" align="left">Open surgery (yes/no)</td>
<td valign="top" align="center">1.399 (0.657&#x02013;2.979)</td>
<td valign="top" align="center">0.384</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Reconstruction methods (R-Y/B-II/B-I)</td>
<td valign="top" align="center">1.597 (1.356&#x02013;1.881)</td>
<td valign="top" align="center">0.000&#x0002A;</td>
<td valign="top" align="center">1.071 (0.777&#x02013;1.477)</td>
<td valign="top" align="center">0.674</td>
</tr>
<tr>
<td valign="top" align="left">Complications (yes/no)</td>
<td valign="top" align="center">1.831 (1.367&#x02013;2.450)</td>
<td valign="top" align="center">0.000&#x0002A;</td>
<td valign="top" align="center">1.528 (1.132&#x02013;2.061)</td>
<td valign="top" align="center">0.006&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">Blood transfusion (yes/no)</td>
<td valign="top" align="center">1.896 (1.260&#x02013;2.853)</td>
<td valign="top" align="center">0.002&#x0002A;</td>
<td valign="top" align="center">1.220 (0.794&#x02013;1.876)</td>
<td valign="top" align="center">0.365</td>
</tr>
<tr>
<td valign="top" align="left">pTNM stage (III/II/I)</td>
<td valign="top" align="center">3.055 (2.407&#x02013;3.877)</td>
<td valign="top" align="center">0.000&#x0002A;</td>
<td valign="top" align="center">2.619 (2.048&#x02013;3.349)</td>
<td valign="top" align="center">0.000&#x0002A;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>&#x0002A;P &#x0003C; 0.05</italic>.</p>
<p><italic>HR, Hazard ratio; CI, confidence interval; BMI, body mass index; T2DM, type 2 diabetes mellitus; B-I, Billroth I reconstruction; B-II, Billroth II reconstruction; R-Y, Roux-en-Y reconstruction; pTNM, pathological tumor node metastasis</italic>.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T6">
<label>Table 6</label>
<caption><p>Univariate and multivariate analysis of disease-free survival.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Risk factors</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Univariate analysis</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Multivariate analysis</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>HR (95% CI)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
<th valign="top" align="center"><bold>HR (95% CI)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years) (&#x0003E;/ &#x02264; 62.0)</td>
<td valign="top" align="center">1.094 (0.686&#x02013;1.745)</td>
<td valign="top" align="center">0.706</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Sex (female/male)</td>
<td valign="top" align="center">0.857 (0.502&#x02013;1.463)</td>
<td valign="top" align="center">0.571</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">BMI (kg/m<sup>2</sup>) (&#x0003E;/ &#x02264; 22.2)</td>
<td valign="top" align="center">0.491 (0.301&#x02013;0.804)</td>
<td valign="top" align="center">0.005&#x0002A;</td>
<td valign="top" align="center">0.524 (0.315&#x02013;0.872)</td>
<td valign="top" align="center">0.013&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">T2DM (yes/no)</td>
<td valign="top" align="center">1.509 (0.792&#x02013;2.874)</td>
<td valign="top" align="center">0.211</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Pre-operative hemoglobin (g/L) (&#x0003E;/ &#x02264; 125.0)</td>
<td valign="top" align="center">0.626 (0.389&#x02013;1.008)</td>
<td valign="top" align="center">0.054</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Pre-operative albumin (g/L) (&#x0003E;/ &#x02264; 41.0)</td>
<td valign="top" align="center">0.562 (0.337&#x02013;0.935)</td>
<td valign="top" align="center">0.027&#x0002A;</td>
<td valign="top" align="center">0.694 (0.415&#x02013;1.161)</td>
<td valign="top" align="center">0.164</td>
</tr>
<tr>
<td valign="top" align="left">Pre-operative lymphocyte (10<sup>9</sup>/L) (&#x0003E;/ &#x02264; 1.4)</td>
<td valign="top" align="center">0.622 (0.386&#x02013;1.001)</td>
<td valign="top" align="center">0.050</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Type of resection (Subtotal gastrectomy/Total gastrectomy)</td>
<td valign="top" align="center">2.429 (1.520&#x02013;3.881)</td>
<td valign="top" align="center">0.000&#x0002A;</td>
<td valign="top" align="center">1.044 (0.426&#x02013;2.557)</td>
<td valign="top" align="center">0.924</td>
</tr>
<tr>
<td valign="top" align="left">Open surgery (yes/no)</td>
<td valign="top" align="center">2.271 (0.828&#x02013;6.229)</td>
<td valign="top" align="center">0.111</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Reconstruction methods (R-Y/B-II/B-I)</td>
<td valign="top" align="center">1.653 (1.268&#x02013;2.155)</td>
<td valign="top" align="center">0.000&#x0002A;</td>
<td valign="top" align="center">1.288 (0.780&#x02013;2.127)</td>
<td valign="top" align="center">0.323</td>
</tr>
<tr>
<td valign="top" align="left">Complications (yes/no)</td>
<td valign="top" align="center">2.244 (1.408&#x02013;3.576)</td>
<td valign="top" align="center">0.001&#x0002A;</td>
<td valign="top" align="center">1.892 (1.179&#x02013;3.036)</td>
<td valign="top" align="center">0.008&#x0002A;</td>
</tr>
<tr>
<td valign="top" align="left">Blood transfusion (yes/no)</td>
<td valign="top" align="center">1.853 (0.949&#x02013;3.618)</td>
<td valign="top" align="center">0.071</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">pTNM stage (III/II/I)</td>
<td valign="top" align="center">3.760 (2.453&#x02013;5.762)</td>
<td valign="top" align="center">0.000&#x0002A;</td>
<td valign="top" align="center">2.619 (2.048&#x02013;3.349)</td>
<td valign="top" align="center">0.000&#x0002A;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>&#x0002A;P &#x0003C; 0.05</italic>.</p>
<p><italic>HR, Hazard ratio; CI, confidence interval; BMI, body mass index; T2DM, type 2 diabetes mellitus; B-I, Billroth I reconstruction; B-II, Billroth II reconstruction; R-Y, Roux-en-Y reconstruction; pTNM, pathological tumor node metastasis</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>A total of 703 patients were included in this study. After 1:1 PSM, 84 patients in T2DM group and 84 patients in Non-T2DM group were matched for final analysis. No significant difference was found in terms of operation time, intra-operative blood loss, retrieved lymph nodes, postoperative stay, blood transfusion, complications, OS or DFS between T2DM group and Non-T2DM group. Furthermore, BMI, pre-operative lymphocyte, pTNM stage and complications were predictive factors for OS, and BMI, pTNM stage and complications were predictive factors for DFS.</p>
<p>T2DM is a metabolic disease, which is related to the onset of digestive tumors including gastric cancer, colorectal cancer, and esophageal cancer (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). In addition to the influence on tumor onset, T2DM might also affect the prognosis of patients, including OS, DFS, and cancer-specific survival (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B14">14</xref>). A study reported that the OS of gastric cancer patients could be improved by metformin (<xref ref-type="bibr" rid="B21">21</xref>). Among patients with gastric cancer, there was also another study reporting that the remission of T2DM would affect the prognosis as well (<xref ref-type="bibr" rid="B22">22</xref>). There were few studies concerning about the postoperative outcomes and prognosis through PSM, therefore, the current study aims to explore the outcomes of T2DM on gastric cancer patients following gastrectomy through PSM.</p>
<p>A recent study reported that T2DM was associated with increased infection and readmission rate (<xref ref-type="bibr" rid="B23">23</xref>). Lee et al. (<xref ref-type="bibr" rid="B24">24</xref>) reported T2DM could increase the postoperative complications, postoperative stay, combined with other diseases and the status of hyperglycemia might contribute to the complications. However, in our study, it was found no statistical difference in terms of postoperative stay or complications, which was consistent with previous studies (<xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>The mechanism between T2DM and gastric cancer remained unclear, some potential mechanism might contribute to the tumor genesis: 1. The status of hyperglycemia which promoted the tumor cells proliferation (<xref ref-type="bibr" rid="B26">26</xref>); 2. In addition, T2DM together with obesity is a chronic low-grade inflammatory disease which could result in malignant tumors (<xref ref-type="bibr" rid="B27">27</xref>); and 3. The mitosis and metastasis of tumor cells were enhanced in hyperinsulinemia (<xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>Chen et al. (<xref ref-type="bibr" rid="B12">12</xref>) reported T2DM could decrease the progress-free survival. In another study, Sheng et al. (<xref ref-type="bibr" rid="B14">14</xref>) reported T2DM could apparently worsen the OS of gastric cancer patients undergoing gastrectomy. However, in the PSM study, it was not statistically significant in terms of OS or DFS. Therefore, large-scale prospective studies should be conducted to determine the exact results of T2DM on prognosis.</p>
<p>In this study, BMI, pre-operative lymphocyte, tumor stage and complications were predictive factors of OS. Besides, BMI, pTNM stage and complications were predictive factors for DFS. The results were consisting with previous studies (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>). Pre-operative lymphocyte was closely associated with human&#x00027;s immune function, and lower level of lymphocyte indicated worse OS in this study (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>). Therefore, perioperative management should be careful to conduct to improve the outcomes of gastric patients.</p>
<p>Few studies reported the prognosis of T2DM on gastric cancer patients following gastrectomy (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B14">14</xref>). To our knowledge, this is the first study to analyze the short-term outcomes of T2DM on gastric cancer patients using PSM. Inconsistent with the previous studies, T2DM had no effect on short-term outcomes or prognosis in this study.</p>
<p>Furthermore, there was an interesting phenomenon that FBG level improved after gastrectomy in some patients concurrent with gastric cancer and T2DM, and the conclusion was proved previously (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>). The remission rate of T2DM in our single center was 47.6%, which was approximately consistent with the previous studies (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B35">35</xref>&#x02013;<xref ref-type="bibr" rid="B37">37</xref>). Gastrectomy, regarded as the onco-metabolic surgery, could control metabolic diseases including hypertension and T2DM (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>). This phenomenon was found in CRC patients as well (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B40">40</xref>). However, the influence on remission of T2DM after gastrectomy needed more prospective studies to prove in the future.</p>
<p>There were several limitations in this present study as well. First, it could bring some selection bias due to the retrospective single-center study with a small amount of cases; Second, the medium follow-up time was relatively short; Third, we were lacking the data related diabetes severity, such as glycated hemoglobin, C-peptide and degree of diabetic complication; Last, some nutritional or immunological factors including neutrophil-lymphocyte ratio, platelet-lymphocyte ratio, CD4<sup>&#x0002B;</sup>/ CD8<sup>&#x0002B;</sup>, IL-18 and IL-1&#x003B2; (<xref ref-type="bibr" rid="B41">41</xref>&#x02013;<xref ref-type="bibr" rid="B44">44</xref>) were lacking for further analysis. Therefore, some large scale and multi-center prospective randomized controlled trials with more comprehensive data should be conducted in the following experiments.</p>
<p>In conclusion, T2DM did not have an impact on gastric cancer patients following gastrectomy in terms of short-term outcomes and prognosis.</p>
</sec>
<sec sec-type="data-availability" id="s5">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s6">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Ethics Committee of The First Affiliated Hospital of Chongqing Medical University, 2021-336. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>WT, BK, X-YL, CY, and BZ: data extraction. DP: data analysis. DP, Y-XC, and WT: quality assessments. Y-XC: writing&#x02014;original draft. DP, Y-XC, WT, BK, X-YL, CY, and BZ: writing&#x02014;review and editing. All authors have read and approved the final manuscript.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s8">
<title>Publisher&#x00027;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>
<ack><p>The authors are grateful to Dr. Zhuozhi Shen, Chongqing Center for Disease Control and Prevention, for the substantial work in the statistical methods.</p>
</ack>

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