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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Endocrinol.</journal-id>
<journal-title>Frontiers in Endocrinology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Endocrinol.</abbrev-journal-title>
<issn pub-type="epub">1664-2392</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fendo.2022.850836</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Endocrinology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Sodium Glucose Cotransporter Type 2 Inhibitors Improve Cardiorenal Outcome of Patients With Coronary Artery Disease: A Meta-Analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Wei</surname>
<given-names>Wen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1627708"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Jin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1544917"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Shiqun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1401967"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xu</surname>
<given-names>Xinghao</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1682400"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Guo</surname>
<given-names>Dachuan</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1660743"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>He</surname>
<given-names>Yibo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1437102"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Zhidong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1527688"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Bo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/921030"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Haozhang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1403157"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Qiang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1372028"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Jiyan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1333967"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Chen</surname>
<given-names>Hong</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1540455"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Tan</surname>
<given-names>Ning</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1683353"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liu</surname>
<given-names>Yong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1111396"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People&#x2019;s Hospital, Guangdong Academy of Medical Sciences</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People&#x2019;s Hospital, Guangdong Academy of Medical Sciences</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Endocrinology, Longyan First Affiliated Hospital of Fujian Medical University</institution>, <addr-line>Longyan</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>The Second School of Clinical Medicine, Southern Medical University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University</institution>, <addr-line>Guangzhou, Guangdong</addr-line>, <country>China</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Endocrinology, Zhujiang Hospital, Southern Medical University</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Guangdong Provincial People&#x2019;s Hospital, School of Medicine, South China University of Technology</institution>, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Atsushi Tanaka, Saga University, Japan</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Tadashi Toyama, Kanazawa University, Japan; Akshay Goel, Westchester Medical Center, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Yong Liu, <email xlink:href="mailto:liuyong@gdph.org.cn">liuyong@gdph.org.cn</email>; Ning Tan, <email xlink:href="mailto:tanning100@126.com">tanning100@126.com</email>; Hong Chen, <email xlink:href="mailto:chenhong123@smu.edu.cn">chenhong123@smu.edu.cn</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Cardiovascular Endocrinology, a section of the journal Frontiers in Endocrinology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>850836</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>02</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Wei, Liu, Chen, Xu, Guo, He, Huang, Wang, Huang, Li, Chen, Chen, Tan and Liu</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Wei, Liu, Chen, Xu, Guo, He, Huang, Wang, Huang, Li, Chen, Chen, Tan and Liu</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>Objective</title>
<p>Sodium glucose cotransporter type 2 inhibitors (SGLT-2i) are beneficial for cardiorenal outcomes in patients with type 2 diabetes mellitus (T2DM), heart failure (HF) or chronic kidney disease (CKD). However, whether or not the patients with coronary artery disease (CAD) have prognostic benefit from SGLT-2i treatment has not been fully studied. The purpose of this meta&#x2212;analysis is to determine the prognostic benefit of SGLT-2i administration in CAD patients.</p>
</sec>
<sec>
<title>Methods</title>
<p>We searched the PubMed, Embase and Cochrane Library from inception until October 15, 2021. We included randomized controlled trials (RCTs) reporting the effect of SGLT-2i on major adverse cardiovascular event (MACE), hospitalization for heart failure (HHF), cardiovascular (CV) death and cardiorenal parameters in CAD patients. Hazard ratio (HR) with 95% confidence interval (CI) and mean difference (MD) from trials were meta-analyzed using fixed-effects models.</p>
</sec>
<sec>
<title>Results</title>
<p>Nine trials enrolling 15,301 patients with CAD were included in the analyses. Overall, SGLT2i were associated with a reduced risk of MACE (HR: 0.84; 95% CI 0.74&#x2013;0.95; I<sup>2</sup> = 0%), HHF (HR: 0.69; 95% CI 0.58&#x2013;0.83; I<sup>2</sup> = 0%) and a composite of CV death or HHF (HR: 0.78; 95% CI 0.71&#x2013;0.86; I<sup>2</sup> = 37%) in CAD patients. Compared with control group, estimated glomerular filtration rate (eGFR) level decreased less in SGLT-2i group (mean difference [MD] = &#x2212;3.60, 95% CI, &#x2212;5.90 to &#x2212;1.30, p = 0.002; I<sup>2</sup> = 0%).</p>
</sec>
<sec>
<title>Conclusions</title>
<p>SGLT-2i can improve cardiorenal outcomes in CAD patients. Further RCTs and real world studies are need to investigate the effect of SGLT2i on CAD patients.</p>
</sec>
<sec>
<title>Systematic Review Registration</title>
<p>PROSPERO, CRD42021258237.</p>
</sec>
</abstract>
<kwd-group>
<kwd>sodium glucose cotransporter type 2 inhibitors</kwd>
<kwd>improve</kwd>
<kwd>coronary artery disease</kwd>
<kwd>cardiorenal outcomes</kwd>
<kwd>meta-analysis</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="42"/>
<page-count count="9"/>
<word-count count="3332"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Coronary artery disease (CAD) is one of the most common causes of morbidity and mortality worldwide (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). CAD is usually concurrent with type 2 diabetes mellitus (T2DM), chronic kidney disease (CKD) and heart failure (HF), and the risk of cardiovascular (CV) death increases significantly with increasing comorbidities (<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>Sodium glucose cotransporter type 2 inhibitors (SGLT-2i) are new glucose-lowering drugs, and have been approved globally for the treatment of T2DM, either as monotherapy or in combination with other hypoglycemic drugs (<xref ref-type="bibr" rid="B7">7</xref>). A number of randomized controlled trials (RCTs) have shown that SGLT-2i have benefits on reducing major adverse cardiovascular event (MACE), hospitalization for heart failure (HHF) and progression of renal insufficiency in patients with T2DM (<xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B11">11</xref>). Among patients with CKD or HF, regardless of the presence or absence of diabetes, the risk of worsening cardiorenal function or CV death was lower among those who received SGLT2i than placebo treatment (<xref ref-type="bibr" rid="B12">12</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>). SGLT-2i also reduced the burden of cardiovascular complications and all-cause admission to hospital in T2DM with atherosclerotic cardiovascular disease (ASCVD) (<xref ref-type="bibr" rid="B15">15</xref>). However, the cardiorenal benefit of SGLT2i in patients with high-risk and prevalent CAD is uncertain.</p>
<p>Therefore, we conducted a meta-analysis to determine the cardiorenal benefit of SGLT2i in patients with CAD.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="s2_1">
<title>Protocol and Guidance</title>
<p>The meta-analysis was registered in PROSPERO (CRD42021258237) and performed based on the preferred reporting items for systematic review and meta-analyses (PRISMA) guidelines (<xref ref-type="bibr" rid="B16">16</xref>).</p>
</sec>
<sec id="s2_2">
<title>Search Strategy</title>
<p>We searched the PubMed, Embase and Cochrane Library from inception until October 15, 2021, with English language restrictions. Search keywords included &#x201c;coronary artery disease&#x201d;, &#x201c;myocardial infarction&#x201d;, &#x201c;heart failure&#x201d;, &#x201c;type 2 diabetes&#x201d;, &#x201c;+&#x201d;, &#x201c;Sodium Glucose Transporter 2 Inhibitors&#x201d;, &#x201c;SGLT2&#x201d;, &#x201c;+&#x201d;, &#x201c;randomized controlled trial&#x201d;, &#x201c;clinical trial&#x201d;, &#x201c;trial&#x201d;, &#x201c;secondary&#x201d;. The medical subject headings (MeSH) or title/abstract limiting searching were used when the searching databases with option was available. The search strategies are detailed in <xref ref-type="supplementary-material" rid="SF2">
<bold>Table&#xa0;S1</bold>
</xref>. In addition, the search was restricted to human studies with animal studies excluded. Two investigators independently searched for papers, screened titles and abstracts of the retrieved articles, reviewed the full-texts, and selected the articles for inclusion.</p>
</sec>
<sec id="s2_3">
<title>Study Selection</title>
<p>Eligible patients included CAD with or without T2DM. Patients in the intervention group were treated with SGLT2i (Canagliflozin, Dapagliflozin, Empagliflozin, Ertugliflozin, Sotagliflozin, Luseogliflozin, Ipragliflozin, Tofogliflozin), while the control group consisted of placebo or other hypoglycemic drugs. The primary outcome was MACE, defined as a composite of CV death, nonfatal myocardial infarction, or nonfatal stroke. Other 5 secondary outcomes included CV death, HHF, a composite of CV death or HHF, and changes of N-terminal prohormone of brain natriuretic peptide (NT-proBNP) and estimated glomerular filtration rate (eGFR) levels.</p>
</sec>
<sec id="s2_4">
<title>Data Extraction and Quality Assessment</title>
<p>Key information was extracted from nine RCTs, namely, study name or first author name, publication year, study design, mean follow-up, number of participants and characteristics, subgroup analysis types, drug of intervention and control group, the primary outcomes and secondary outcomes.</p>
<p>The quality of RCT was assessed with the Cochrane risk bias tool (<xref ref-type="bibr" rid="B17">17</xref>), which contained five domains: random sequence generation (selection bias), allocation concealment (selection bias), blinding (performance bias and detection bias), incomplete outcome data (attrition bias), and selective reporting (reporting bias).</p>
<p>All the data extraction and quality assessment were done independently by two investigators, and the divergence was settled by discussion and consensus or by third-party arbitration.</p>
</sec>
<sec id="s2_5">
<title>Statistical Analysis</title>
<p>Meta-analyses were conducted using RevMan (version 5.3; Copenhagen: The Nordic Cochrane Centre, The Cochrane Collaboration, 2014) and R programming language, version 4.0.3 (R Foundation for Statistical Computing, Vienna, Austria). We used the Hazard Ratio (HR) with 95% confidence interval (CI) to evaluate clinical outcomes (MACE, CV death and HHF) in patients with CAD receiving standard treatment with or without SGLT-2i. Similarity, the mean difference (MD) was calculated to evaluate changes of NT-proBNP and eGFR levels in patients with CAD receiving standard treatment with or without SGLT-2i in 6-month treatment. I<sup>2</sup> statistic was used to assess heterogeneity. I<sup>2</sup> &#x2264;50% was considered to represent low heterogeneity, and higher than 50% was regarded as high. A fixed-effect model was used to pool the results when I<sup>2</sup> &#x2264;50%, while a random-effect model was used when I<sup>2</sup> &gt;50% (<xref ref-type="bibr" rid="B18">18</xref>).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Search Results</title>
<p>Until June 6, 2021, 9,783 articles were retrieved from PubMed, Embase and Cochrane Library. After removing duplicate studies, the remaining 5,913 articles were screened. After reading 325 eligible full-text articles, 317 were excluded, and 8 studies met our inclusion criteria (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B19">19</xref>&#x2013;<xref ref-type="bibr" rid="B24">24</xref>). After completing the manuscript, we searched the newly published literatures in PubMed, Embase and Cochrane Library. From June 7 to October 15, 1028 articles were retrieved. After removing duplicate studies, screening title and abstract, and reading the eligible full-text articles, the remaining 1 study met our inclusion criteria (<xref ref-type="bibr" rid="B25">25</xref>). In total, 9 studies were included in meta-analysis. The systematic search results are presented in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Eligibility of the studies for inclusion in the meta-analysis.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-13-850836-g001.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>Study Characteristics</title>
<p>A total of 9 studies of SGLT-2i enrolling 15,301 patients with CAD were included in final analysis (1 main-analysis and 8 sub-analyses of published RCT trials, <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Among them, 5 trials concerned empagliflozin, 3 trials involved dapaglifozin and 1 trial discussed sotagliflozin. In addition, 8 studies reported comparison with placebo, and 1 study reported comparison with dipeptidyl peptidase-4 inhibitor (DPP4i): vildagliptin. The detailed baseline characteristics of each study are presented in <xref ref-type="table" rid="T1">
<bold>Tables&#xa0;1</bold>
</xref> and <xref ref-type="table" rid="T2">
<bold>2</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Summary of the characteristics of the included studies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="3" align="left">Source</th>
<th valign="top" rowspan="3" align="center">Study year</th>
<th valign="top" rowspan="3" align="center">Mean Follow-up</th>
<th valign="top" rowspan="3" align="center">Population</th>
<th valign="top" rowspan="3" align="center">Sample size</th>
<th valign="top" rowspan="3" align="center">Subgroup</th>
<th valign="top" rowspan="3" align="center">Treatment</th>
<th valign="top" colspan="2" align="center">Outcome: MACE</th>
<th valign="top" colspan="2" align="center">Outcome: HHF</th>
<th valign="top" colspan="2" align="center">Outcome: CV death</th>
<th valign="top" colspan="2" align="center">Outcome: Composite of CV death or HHF</th>
</tr>
<tr>
<th valign="top" colspan="2" align="center">Events/Patients, n/N</th>
<th valign="top" colspan="2" align="center">Events/Patients, n/N</th>
<th valign="top" colspan="2" align="center">Events/Patients, n/N</th>
<th valign="top" colspan="2" align="center">Events/Patients, n/N</th>
</tr>
<tr>
<th valign="top" align="center">Treatment</th>
<th valign="top" align="center">Placebo</th>
<th valign="top" align="center">Treatment</th>
<th valign="top" align="center">Placebo</th>
<th valign="top" align="center">Treatment</th>
<th valign="top" align="center">Placebo</th>
<th valign="top" align="center">Treatment</th>
<th valign="top" align="center">Placebo</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">EMPA-REG OUTCOME 2015</td>
<td valign="top" align="center">2015</td>
<td valign="top" align="left">3.1 years</td>
<td valign="top" align="left">Type 2 diabetes and high CV risk</td>
<td valign="top" align="left">7,020</td>
<td valign="top" align="left">CAD prespecified</td>
<td valign="top" align="left">Empagliflozin</td>
<td valign="top" align="center">261/2,732</td>
<td valign="top" align="center">152/1,340</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">90/2,732</td>
<td valign="top" align="center">63/1,340</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
</tr>
<tr>
<td valign="top" align="left">Substudy of DECLARE-TIMI 58 2019</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="left">4.2 years</td>
<td valign="top" align="left">Patients with type 2 diabetes who had or were at risk for atherosclerotic cardiovascular disease</td>
<td valign="top" align="left">17,160</td>
<td valign="top" align="left">Previous MI prespecified</td>
<td valign="top" align="left">Dapaglifozin</td>
<td valign="top" align="center">270/1,777</td>
<td valign="top" align="center">321/1,807</td>
<td valign="top" align="center">81/1,777</td>
<td valign="top" align="center">114/1,807</td>
<td valign="top" align="center">87/1,777</td>
<td valign="top" align="center">96/1,807</td>
<td valign="top" align="center">153/1,777</td>
<td valign="top" align="center">190/1,807</td>
</tr>
<tr>
<td valign="top" align="left">Substudy of DAPA-HF 2021</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="left">18.2 months</td>
<td valign="top" align="left">HF with reduced ejection fraction, with and without type 2 diabetes</td>
<td valign="top" align="left">4,744</td>
<td valign="top" align="left">Cause of heart failure: ischemic prespecified</td>
<td valign="top" align="left">Dapaglifozin</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">118/1,316</td>
<td valign="top" align="center">173/1,358</td>
<td valign="top" align="center">152/1,316</td>
<td valign="top" align="center">170/1,358</td>
<td valign="top" align="center">222/1,316</td>
<td valign="top" align="center">284/1,358</td>
</tr>
<tr>
<td valign="top" align="left">EMPEROR-Reduced 2020</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="left">16 months</td>
<td valign="top" align="left">HF with reduced ejection fraction, with and without type 2 diabetes</td>
<td valign="top" align="left">3,730</td>
<td valign="top" align="left">Cause of heart failure: ischemic prespecified</td>
<td valign="top" align="left">Empagliflozin</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">207/983</td>
<td valign="top" align="center">236/946</td>
</tr>
<tr>
<td valign="top" align="left">SOLOIST-WHF 2020</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="left">9 months</td>
<td valign="top" align="left">Type 2 diabetes mellitus who were recently hospitalized for worsening heart failure</td>
<td valign="top" align="left">1,222</td>
<td valign="top" align="left">Cause of heart failure: ischemic</td>
<td valign="top" align="left">Sotagliflozin</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" colspan="2" align="center">Total patients: 712</td>
</tr>
<tr>
<td valign="top" align="left">EMPEROR-Preserved 2021</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="left">26.2 months</td>
<td valign="top" align="left">HF with preserved ejection fraction, with and without type 2 diabetes</td>
<td valign="top" align="left">5,988</td>
<td valign="top" align="left">Cause of heart failure: ischemic</td>
<td valign="top" align="left">Empagliflozin</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">157/1,079</td>
<td valign="top" align="center">177/1,038</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>MACE, major adverse cardiovascular event (Composite of CV death/nonfatal MI/nonfatal stroke); CV, cardiovascular; HF, heart failure; HHF, hospitalization for heart failure; MI, myocardial infarction; CAD, coronary artery disease; NR, not reported.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Summary of the characteristics of the included studies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Source</th>
<th valign="top" rowspan="2" align="center">Study period</th>
<th valign="top" rowspan="2" align="center">Design</th>
<th valign="top" rowspan="2" align="center">Mean Follow-up</th>
<th valign="top" rowspan="2" align="center">Population</th>
<th valign="top" rowspan="2" align="center">Treatment group</th>
<th valign="top" rowspan="2" align="center">Control group</th>
<th valign="top" rowspan="2" align="center">Primary outcome</th>
<th valign="top" align="center">Outcome: NT-proBNP</th>
<th valign="top" align="center">Outcome: eGFR</th>
</tr>
<tr>
<th valign="top" align="center">Treatment/control</th>
<th valign="top" align="center">Treatment/control</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Arintaya Phrommintikul (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">Prospective randomised double-blinded study</td>
<td valign="top" align="left">6 months</td>
<td valign="top" align="left">T2DM with CAD</td>
<td valign="top" align="left">Dapagliflozin</td>
<td valign="top" align="left">vildagliptin</td>
<td valign="top" align="left">Cardiometabolic parameters and inflammatory biomarkers</td>
<td valign="top" align="center">21/22</td>
<td valign="top" align="center">21/22</td>
</tr>
<tr>
<td valign="top" align="left">Tamique Mason (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="left">Nov 2016 to Apr 2018</td>
<td valign="top" align="left">Prespecified substudy of EMPA-HEART CardioLink-6 Trial</td>
<td valign="top" align="left">6 months</td>
<td valign="top" align="left">T2DM with CAD</td>
<td valign="top" align="left">Empagliflozin</td>
<td valign="top" align="left">placebo</td>
<td valign="top" align="left">Changes in left ventricular ECV, LVMi, iICV, iECV and the fibrosis biomarkers sST2 and MMP-2</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">39/35</td>
</tr>
<tr>
<td valign="top" align="left">Kosuke Mozawa (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="left">Feb 2018 to Mar 2019</td>
<td valign="top" align="left">Substudy of the Embody Trial</td>
<td valign="top" align="left">24 weeks</td>
<td valign="top" align="left">T2DM with AMI</td>
<td valign="top" align="left">Empagliflozin</td>
<td valign="top" align="left">placebo</td>
<td valign="top" align="left">Changes in renal functional markers</td>
<td valign="top" align="center">32/33</td>
<td valign="top" align="center">46/50</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CAD, coronary artery disease; AMI, acute myocardial infarction; NT-proBNP, N-terminal prohormone of brain natriuretic peptide; eGFR, estimated glomerular filtration rate; NR, not reported; ECV, extracellular volume; LVMi, left ventricular mass index; iICV, indexed intracellular compartment volume; iECV, indexed extracellular compartment volume; sST2, soluble suppressor of tumorgenicity; MMP, matrix metalloproteinase.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<title>Risk of Bias Within Studies</title>
<p>Egger&#x2019;s test and funnel plots were not applied for publication bias assessment because less than 10 studies were included. Quality evaluation was conducted using the Cochrane systematic evaluation method. Most studies had a low risk of overall bias, as shown in <xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>.</p>
</sec>
<sec id="s3_4">
<title>Difference in Cardiovascular Events</title>
<p>For the primary outcome, two articles contained MACE outcome, with a total of 7,656 patients (4,509 in SGLT-2i group and 3,147 in placebo group). In SGLT-2i group, 531 (11.8%) patients met MACE outcome, while 473 (15.0%) patients in placebo group. Meta-analysis result showed that the risk of MACE was significantly lower in patients using SGLT-2i than in placebo group (HR: 0.84; 95% CI 0.74&#x2013;0.95; P &lt;0.01; I<sup>2</sup> = 0 =%; <xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2A</bold>
</xref>, <xref ref-type="fig" rid="f4">
<bold>4</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Forest plot of meta-analysis for the comparison of cardiovascular outcomes between the SGLT-2i and placebo groups. <bold>(A)</bold> MACE: major adverse cardiovascular event, <bold>(B)</bold> HHF: hospitalization for heart failure, <bold>(C)</bold> CV death: cardiovascular death, <bold>(D)</bold> a composite of CV death or HHF.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-13-850836-g002.tif"/>
</fig>
<p>Two articles contained heart failure hospitalization (HHF) outcome, with a total of 6,258 patients (3,093 in SGLT-2i group and 3,165 in placebo group). In SGLT-2i group, 199 (6.4%) patients met HHF outcome, while 287 (9.1%) patients in placebo group. Meta-analysis result showed that the risk of HHF was significantly lower in patients using SGLT-2i than in placebo group (HR: 0.69; 95% CI 0.58&#x2013;0.83; P &lt;0.01; I<sup>2</sup> = 0%; <xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2B</bold>
</xref>, <xref ref-type="fig" rid="f4">
<bold>4</bold>
</xref>).</p>
<p>Cardiovascular death (CV death) outcome were included in three articles involving a total of 10,330 patients (5,825 in SGLT-2i group and 4,505 in placebo group). In SGLT-2i group, 329 (5.6%) patients met CV death outcome, while 329 (7.3%) patients in placebo group. The result showed that no significant difference in the risk of CV death was found between the two groups (HR: 0.86; 95% CI 0.74&#x2013;1.00; P = 0.06; I<sup>2</sup> = 16%; <xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2C</bold>
</xref>, <xref ref-type="fig" rid="f4">
<bold>4</bold>
</xref>).</p>
<p>Five articles included CV death/HHF outcome for a total of 11,016 patients. Meta-analysis result showed that the risk of CV death/HHF was significantly lower in patients using SGLT-2i than in placebo group (HR: 0.78; 95% CI 0.71&#x2013;0.86; P &lt;0.01; I<sup>2</sup> = 37%; <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>, <xref ref-type="fig" rid="f4">
<bold>4</bold>
</xref>).</p>
</sec>
<sec id="s3_5">
<title>Difference in Mean Change in Cardio-Renal Parameters</title>
<p>We used NT-proBNP to represent cardiac function. Two articles included change of NT-proBNP in 6-month treatment, with a total of 108 patients (53 in the SGLT-2i group and 55 in the control group). Meta-analysis results showed the decrease of NT-proBNP in control group was more than that in SGLT2i group but without significant difference between the two groups (MD = 262.21, 95% CI, &#x2212;13.26 to 537.68, p = 0.06; I<sup>2</sup> = 49%; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Forest plot of meta-analysis for the comparison of cardio-renal parameters between the SGLT-2i and control groups. <bold>(A)</bold> decrease of NT-proBNP levels, <bold>(B)</bold> decrease of eGFR levels.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-13-850836-g003.tif"/>
</fig>
<p>Renal function was assessed by eGFR. Three articles contained change of eGFR in 6-month treatment, with a total of 213 patients (106 in the SGLT-2i group and 107 in the control group). The pooled effect size showed less decrease of eGFR levels (MD = &#x2212;3.60, 95% CI, &#x2212;5.90 to &#x2212;1.30, p = 0.002; I<sup>2</sup> = 0%) in SGLT-2i group compared to control group; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>To the best of our knowledge, this is the first study to compare SGLT-2i treatment with placebo or other glucose-lowering treatment in comprehensive outcomes of cardiovascular events and cardiorenal parameters in patients with CAD. The main findings of this meta-analysis demonstrated that in patients with CAD, SGLT-2i significantly reduced cardiovascular events compared with the placebo. Additionally, we found SGLT-2i had a protective effect on renal function decline in these patients.</p>
<p>Recently, several meta-analyses have demonstrated that SGLT-2i could improve cardiorenal outcomes in T2DM patients with cardiovascular diseases (<xref ref-type="bibr" rid="B26">26</xref>&#x2013;<xref ref-type="bibr" rid="B30">30</xref>). A meta-analysis about a subpopulation of subjects with CAD showed a 15% risk reduction (relative risk [RR] 0.85) for MACE outcome and a 39% risk reduction (RR 0.61) for HHF outcome. However, no benefit was shown for CV death (<xref ref-type="bibr" rid="B31">31</xref>). Consistent with above study, our study showed a 16% risk reduction for MACE outcome and a 32% risk reduction for HHF outcome evaluated by HR with 95% CI. Similarly, no benefit was observed for SGLT-2i in CV outcomes. This should be further explored in future RCTs and real-world research on CAD population. In addition, we also analyzed a composite of CV death or HHF outcome, showing that SGLT-2i significantly reduces a 23% risk of CV death or HHF. The risk reduction was mostly attributed to the decreased risk of HHF. Our results reaffirm the indication of SGLT-2i for subjects with CAD, especially in patients with T2DM or heart failure.</p>
<p>SLGT-2i has been shown to reduce the risk of dialysis, transplantation, or death due to kidney disease in individuals with T2DM (<xref ref-type="bibr" rid="B32">32</xref>). A meta-analysis also reported that SGLT-2i reduced the risk of acute kidney injury (AKI) with or without hospitalization in randomized trials and the real-world setting (<xref ref-type="bibr" rid="B33">33</xref>). Our study showed that the decrease of eGFR in SGLT-2i group was less than that in control group, and eGFR was greater than 60 ml/min/1.73 m<sup>2</sup> in both groups at the end of the study (period: 6 months), which also suggested that SGLT-2i had a protective effect on renal function decline. We also found that after a 6-month treatment, the decrease in NT-proBNP was more in control than SGLT2i for unknown reasons driven by that one study with vildagliptin as the control group. However, there was no significant difference between the two groups. The reasons may also be that the number of studies we included was small and the intervention of the control group was different in the two studies. Therefore, we will explore this issue further in future studies.</p>
<p>Among patients with CAD, those with diabetes comprise a higher-risk subgroup (<xref ref-type="bibr" rid="B34">34</xref>). In these patients, the best possible glycemic control obtained with the older glucose-lowering medications (different combinations of metformin, sulfonylureas, thiazolidinediones, glinides, and insulin) is unlikely to improve their cardiovascular outlook (<xref ref-type="bibr" rid="B35">35</xref>). The newer glucose-lowering drugs, in particular SGLT-2i, have demonstrated a consistent effect of reducing the risk of cardiovascular events in both controlled trials and real-world research. Possible mechanisms for the cardiovascular benefits of SGLT-2i include diuresis, lowering blood pressure and body weight, improving atherosclerosis, and reducing inflammation and oxidative stress (<xref ref-type="bibr" rid="B36">36</xref>). Another proposed mechanism is inhibition of sodium hydrogen exchanger 3 (NHE3) in the kidney and heart. In the kidney, this may increase sensitivity to diuretics and natriuretic peptides, leading to decreased preload in heart failure patients. In cardiac tissue, inhibition of NHE3 could limit cardiac injury, systolic dysfunction and remodeling (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B37">37</xref>). Recent studies suggest that the increased level of ketone bodies related to SGLT-2i use might mediate part of the beneficial effect (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Central illustration: Meta-analysis and potential mechanisms of SGLT-2i in CAD patients.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-13-850836-g004.tif"/>
</fig>
<p>Acute myocardial infarction (AMI) is the most serious manifestation of CAD, leading to significant mortality and disease burden (<xref ref-type="bibr" rid="B40">40</xref>). AMI patients who had a history of stroke, combined with hypertension and diabetes mellitus had a relatively higher mortality, considering related to the factors as combined with more disease, relatively complex and worse vascular condition. SGLT2i are a unique class of medications that not only improve cardiorenal outcomes, but also have a demonstrated impact on reducing cardiovascular risk factors such as hyperglycemia, hypertension, dyslipidemia and excessive weight (<xref ref-type="bibr" rid="B41">41</xref>). The results of the China Heart Failure Registry Study (China-HF) showed that CAD had become the main causes of HF in China (<xref ref-type="bibr" rid="B42">42</xref>). Results of our meta-analysis showed that SGLT-2i could reduce MACE and HHF in patients with CAD, again confirming the indication of SGLT2i in patients with CAD, especially in high risk patients with hypertension, T2DM or HF. Rational use of SGLT2i in CAD patients can reduce the mortality. As for CAD patients without T2DM or HF, further studies are needed to demonstrate the benefits of SGLT-2i. Moreover, there was no clear evidence of additional safety concerns over SGLT-2i use in the treatment of cardiovascular disease. Fear of causing AKI should not stop practitioners prescribing SGLT-2i.</p>
<sec id="s4_1">
<title>Limitations</title>
<p>Our study had some limitations. First, the number of included trials included was relatively small, which may prevent robust assessment of outcomes. Further validation is needed in future RCT studies. Second, the CAD patients included in our meta-analysis had either diabetes or heart failure, and the cardiorenal benefits of SGLT2i in DM or HF patients were well established. As for CAD patients without DM or HF, further studies are needed to demonstrate the benefits of SGLT-2i. Third, in trials where decrease of NT-proBNP was used as an outcome, control interventions were different, which may influence the assessment of outcomes. Finally, the meta-analysis did not use patient level data.</p>
</sec>
<sec id="s4_2">
<title>Conclusion</title>
<p>In conclusion, SGLT-2i treatment can reduce the risk of major cardiovascular events and have a protective effect on renal function decline in CAD patients with T2DM or HF. Prospective studies exploring the effect of SGLT-2i on cardiovascular endpoint improvement in general CAD patients should be carried out in the future.</p>
</sec>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author Contributions</title>
<p>Substantial contributions to the conception and design of the meta&#x2212;analysis (YL, NT, HC). Data collection (WW, XHX, DCG, ZDH, BW, HZH, QL). Data analysis and/or interpretation of data for the work (WW, SQC, YBH, JYC). Drafting of the work or revising it critically for important intellectual content (WW, JL, XHX, DCG). All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.</p>
</sec>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>This research was funded and supported by the Guangdong Provincial Science and Technology Plan Project (2017B030314041), the Guangdong Provincial Fund for Clinical Medications (2019ZH01), the Multi-center study on key techniques for prevention, diagnosis and treatment of high risk coronary artery disease (DFJH2020026), the Study on the function and mechanism of the potential target for early warning of cardiorenal syndrome after acute myocardial infarction based on transmoomics (DFJH201919), and the Natural Science Foundation of Guangdong Province General Project (2020A1515010940).</p>
</sec>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s9" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>The authors would like to thank Dr. Nuliman&#xb7;Abudoujilili and Dr. Maiwulajiang&#xb7;Mamuti of the First People&#x2019;s Hospital of Kashgar Prefecture for their contribution to literature selection.</p>
</ack>
<sec id="s10" 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/fendo.2022.850836/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fendo.2022.850836/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image_1.tif" id="SF1" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;1</label>
<caption>
<p>Quality assessment for the evidences.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Table_1.docx" id="SF2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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