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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1237210</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2023.1237210</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The efficacy and safety of sacubitril/valsartan compared with ACEI/ARB in the treatment of heart failure following acute myocardial infarction: a systematic review and meta-analysis of randomized controlled trials</article-title>
<alt-title alt-title-type="left-running-head">Gao et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2023.1237210">10.3389/fphar.2023.1237210</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Gao</surname>
<given-names>Jinquan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2340612/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Xin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xu</surname>
<given-names>Mengzhuo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Deng</surname>
<given-names>Shisu</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Chen</surname>
<given-names>Xiaoping</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2336333/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Cardiology</institution>, <institution>West China Hospital</institution>, <institution>Sichuan University</institution>, <addr-line>Chengdu</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Chongzhou People&#x2019;s Hospital</institution>, <addr-line>Chongzhou</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/748335/overview">Francesco Gentile</ext-link>, Sant&#x2019;Anna School of Advanced Studies, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1141410/overview">Giovanna Gallo</ext-link>, Sapienza University of Rome, Italy</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1632019/overview">Mohammad Ahmad Zaki Al-Ani</ext-link>, University of Florida, United States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Xiaoping Chen, <email>xiaopinchen@126.com</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>04</day>
<month>08</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1237210</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>06</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>07</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Gao, Zhang, Xu, Deng and Chen.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Gao, Zhang, Xu, Deng and Chen</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>
<bold>Purpose:</bold> To systematically assess the efficacy and safety of sacubitril/valsartan (SV) by comparison with angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin receptor blockers (ARBs) for the treatment of heart failure caused by acute myocardial infarction (HF-AMI) based on current randomized controlled trials (RCTs).</p>
<p>
<bold>Methods:</bold> Several electronic databases were searched up to 27 May 2023. Primary endpoints were the efficacy including the left ventricular ejection fraction (LVEF), left ventricular end-diastolic diameter (LVEDD), N-terminal pro-B type natriuretic peptide (NT-proBNP) and 6-min walk test (6MWT) and secondary endpoints were the safety including the major adverse cardiovascular event (MACE) and adverse reaction (AE).</p>
<p>
<bold>Results:</bold> A total of 14 RCTs were included and all patients were from China. Among included 1,991 patients, 997 patients received SVs and 994 patients received ACEIs/ARBs. The pooled results demonstrated that patients in the SV group showed significantly better efficacy representing as increased LVEF [weighted mean difference (WMD): 4.43%, 95% confidence interval (CI): 2.84%&#x2013;6.02%, <italic>p</italic> &#x3c; 0.001] and 6MWT (WMD: 30.84&#xa0;m, 95% CI: 25.65&#xa0;m&#x2013;36.03&#xa0;m, <italic>p</italic> &#x3c; 0.001) and decreased LVEDD (WMD: &#x2212;3.24&#xa0;mm, 95% CI: &#x2212;4.96&#xa0;mm &#x223c; -1.52&#xa0;mm, <italic>p</italic> &#x3c; 0.001) and NT-proBNP (WMD: &#x2212;188.12&#xa0;pg/mL, 95% CI: &#x2212;246.75&#xa0;pg/mL &#x223c; 129.49&#xa0;pg/mL, <italic>p</italic> &#x3c; 0.001), which was also verified by subgroup analysis based on the history of percutaneous coronary intervention (PCI). Besides, the SV group showed significantly lower incidence rate of MACE [relative risk (RR): 0.60, 95% CI: 0.47&#x2013;0.75, <italic>p</italic> &#x3c; 0.001] and patients receiving SVs in the non-PCI group also showed lower incidence of AE (RR: 0.38, 95% CI: 0.20&#x2013;0.71, <italic>p</italic> &#x3d; 0.002).</p>
<p>
<bold>Conclusion:</bold> For the treatment of HF-AMI, SV is more effective and safer than ACEI/ARB based on current evidence, but more high-quality RCTs are still needed to verify above findings.</p>
</abstract>
<kwd-group>
<kwd>heart failure following acute myocardial infarction</kwd>
<kwd>sacubitril-valsartan</kwd>
<kwd>angiotensin-converting enzyme inhibitor</kwd>
<kwd>angiotensin receptor blocker</kwd>
<kwd>randomized controlled trial</kwd>
<kwd>meta-analysis</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cardiovascular and Smooth Muscle Pharmacology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Acute myocardial infarction (AMI) is myocardial necrosis caused by disruption of blood flow following rupture of unstable plaque in the coronary artery. It is the most common manifestation of coronary heart disease and a serious threat to human health (<xref ref-type="bibr" rid="B15">Fernandez Rico et al., 2022</xref>; <xref ref-type="bibr" rid="B8">Ciftci et al., 2023</xref>; <xref ref-type="bibr" rid="B39">Vergallo and Patrono, 2023</xref>). Despite great advances in medical care, AMI has long been the leading cause of disability and death worldwide (<xref ref-type="bibr" rid="B39">Vergallo and Patrono, 2023</xref>). In the United State, 1.5&#xa0;million cases are reported each year (<xref ref-type="bibr" rid="B26">Khera et al., 2021</xref>; <xref ref-type="bibr" rid="B3">Berwanger et al., 2022</xref>). Meanwhile, in China, the incidence of AMI increased gradually from 2002 to 2018 (<xref ref-type="bibr" rid="B27">Li et al., 2015</xref>; <xref ref-type="bibr" rid="B20">Huo et al., 2019</xref>). Over the past decade, great advances in early revascularization and AMI management have results in a 95% of 30-day survival rate for AMI with ST segment elevation (<xref ref-type="bibr" rid="B27">Li et al., 2015</xref>). However, about 25% of new AMI patients will develop heart failure (HF) within 1&#xa0;year and 75% of all patients will develop HF within 5&#xa0;years (<xref ref-type="bibr" rid="B46">Yandrapalli et al., 2021</xref>; <xref ref-type="bibr" rid="B38">Solomonchuk et al., 2022</xref>). In the next few decades, it is speculated that the number of patients with HF after AMI (HF-AMI) will substantially increase because of the population growth, aging and comorbidities increase (<xref ref-type="bibr" rid="B46">Yandrapalli et al., 2021</xref>; <xref ref-type="bibr" rid="B38">Solomonchuk et al., 2022</xref>).</p>
<p>For the treatment of HF-AMI, angiotensin-converting enzyme inhibitors (ACEIs)/angiotensin receptor blockers (ARBs) has been the basic drugs for HF-AMI. However, in recent years, with more research on myocardial infarction, ventricular remodeling and HF, a variety of new drugs are emerging including the current landmark new drug sacubitril/valsartan (SV) (<xref ref-type="bibr" rid="B19">Hajra et al., 2019</xref>). A number of clinical trials have well indicated its efficacy in treating HF with reduced ejection fraction is significantly superior to ACEI, which has been recommended by several domestic and foreign guidelines (<xref ref-type="bibr" rid="B1">Abdin et al., 2022</xref>; <xref ref-type="bibr" rid="B5">Bhatt et al., 2022</xref>; <xref ref-type="bibr" rid="B47">Zeymer et al., 2022</xref>). In 2021, the European Heart Association recommended that SV could replace ACEI as the first choice for patients with acute or chronic HF with reduced ejection fraction, so as to reduce the risk of HF visits or death (<xref ref-type="bibr" rid="B24">Kapelios et al., 2019</xref>; <xref ref-type="bibr" rid="B47">Zeymer et al., 2022</xref>). The results of the PARAMOUNT-HF and PARADIGM-HF studies have both showed that SV significantly improved the indicators of cardiac function and ventricular remodeling in patients with HF compared with ACEI/ARB (<xref ref-type="bibr" rid="B12">Docherty et al., 2020</xref>), which is consistent with the results of PROVE-HF and EVALUATE-HF trials (<xref ref-type="bibr" rid="B31">Myhre et al., 2022</xref>). Although SV has shown obvious advantages in the treatment of HF, its efficacy and safety in patients with HF after AMI has not been fully determined.</p>
<p>Therefore, this study aimed to systematically identify the efficacy and safety of SV by comparison with ACEIs/ARBs for the treatment of HF-AMI based on current evidence provided by randomized controlled trials (RCTs).</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>2 Materials and methods</title>
<p>The current systematic review and meta-analysis was performed according to the Preferred Reporting Items for Systematic Review and Meta-Analyses 2020 (<xref ref-type="bibr" rid="B32">Page et al., 2021</xref>).</p>
<sec id="s2-1">
<title>2.1 Literature search</title>
<p>The PubMed, EMBASE, Web of Science, Cochrane library and CNKI databased were searched from inception to 27 May 2023. The following terms were used during the research: sacubitril-valsartan, valsartan-sacubitril, entresto, LZC696, SV, myocardial infarction, cardiovascular stroke, myocardial infarct, heart attack, heart failure, cardiac failure, randomized controlled trial and RCT. Detailed search strategy was as follows: (sacubitril-valsartan OR valsartan-sacubitril OR entresto OR LCZ696 OR SV) AND (myocardial infarction OR cardiovascular stroke OR myocardial infarct OR heart attack) AND (heart failure OR cardiac failure) AND (randomized controlled trial OR RCT).</p>
</sec>
<sec id="s2-2">
<title>2.2 Inclusion criteria</title>
<p>The inclusion criteria were as follows: 1) patients were diagnosed with HF-AMI according to latest guidelines and expert consensuses (<xref ref-type="bibr" rid="B6">Branch of Cardiovascular Physicians CMDACCHATECWGotPaToHFAMI, 2020</xref>; <xref ref-type="bibr" rid="B21">Jen&#x10d;a et al., 2021</xref>); 2) patients were randomized to receive the SVs or ACEIs/ARBs for at least 1&#xa0;month and all patients received same basic therapies including the antiplatelet, lipid-lowering and beta-blocker treatment; 3) randomized controlled trials (RCTs) which enrolled 100 or more participants; 4) at least one of following outcomes was compared between the SV and ACEI/ARB groups: LVEF, LVEDD, NT-proBNP, 6MWT, MACE and AR; 5) full texts were available and enough data were provided for the calculation of weighted mean difference (WMD) or (and) relative risk (RR) with corresponding 95% confidence interval.</p>
</sec>
<sec id="s2-3">
<title>2.3 Exclusion criteria</title>
<p>The following criteria were applied: 1) studies with a small sample size (&#x3c;100 participants); 2) insufficient or duplicated data; 3) conference abstracts, letters, editorials, case reports or reviews.</p>
</sec>
<sec id="s2-4">
<title>2.4 Data collection</title>
<p>The following information was retracted from included studies: the name of first author, publication year, country, sample size, history of percutaneous coronary intervention (PCI), drugs of control group and follow-up time. Primary endpoints were the efficacy including the LVEF, LVEDD, NT-proBNP and 6MWT and secondary endpoints were the safety including the MACE and AE, respectively.</p>
</sec>
<sec id="s2-5">
<title>2.5 Methodological quality assessment</title>
<p>The quality of all included RCTs was evaluated according to the modified Jadad Scale score tool which consisted of the randomization, concealment of allocation, double blinding and withdrawals and dropouts (<xref ref-type="bibr" rid="B9">Clark et al., 1999</xref>; <xref ref-type="bibr" rid="B4">Bhandari et al., 2001</xref>). RCTs with a modified Jadad Scale of one to three and four to seven were defined as low-quality and high-quality studies, respectively (<xref ref-type="bibr" rid="B9">Clark et al., 1999</xref>; <xref ref-type="bibr" rid="B4">Bhandari et al., 2001</xref>).</p>
</sec>
<sec id="s2-6">
<title>2.6 Statistical analysis</title>
<p>RevMan 5.3 and STATA 12.0 software were applied for the analysis. Continuous variables including the LVEF, LVEDD, NT-proBNP and 6MWT after the SV or ACEI/ARB treatment were compared and analyzed using the WMD and corresponding 95% CI. Binary variables including the MACE and AR were compared using the RR with 95% CI. The heterogeneity between studies was assessed using I<sup>2</sup> statistics and the Q test. If significant heterogeneity was observed representing as I<sup>2</sup> &#x3e; 50% and/or <italic>p</italic> &#x3c; 0.1, the random effects model was applied; otherwise, the fixed effects model was used. Besides, subgroup analysis based on the history of PCI was conducted. Sensitivity analysis was conducted to detect the sources of heterogeneity and assess the stability of the overall results. Furthermore, Begg&#x2019;s funnel plot and Egger&#x2019;s test were conducted to detect publication bias, and significant publication bias was defined as <italic>p</italic> &#x3c; 0.05 (<xref ref-type="bibr" rid="B2">Begg and Mazumdar, 1994</xref>; <xref ref-type="bibr" rid="B14">Egger et al., 1997</xref>). If significant publication bias was observed, then the trim-and-fill method was applied to detect potentially unpublished publications (<xref ref-type="bibr" rid="B36">Shi and Lin, 2019</xref>).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 Literature search and selection</title>
<p>Initially, 618 records were identified from the five databases and 107 duplicated records were directly removed. After reviewing the titles and abstracts, 413 and 46 records were excluded, respectively. Then, 38 publications were further excluded after reviewing the full texts. Eventually, 14 RCTs were included in this meta-analysis (<xref ref-type="bibr" rid="B7">Cao and Zhao, 2020</xref>; <xref ref-type="bibr" rid="B43">Wang et al., 2020</xref>; <xref ref-type="bibr" rid="B48">Zhao, 2020</xref>; <xref ref-type="bibr" rid="B10">Cui, 2021</xref>; <xref ref-type="bibr" rid="B13">Dong, 2021</xref>; <xref ref-type="bibr" rid="B18">Haiyan and Xianghua, 2021</xref>; <xref ref-type="bibr" rid="B22">Jiang, 2021</xref>; <xref ref-type="bibr" rid="B29">Liu and Zhou, 2021</xref>; <xref ref-type="bibr" rid="B17">Fu and Xu, 2022</xref>; <xref ref-type="bibr" rid="B35">Sheng, 2022</xref>; <xref ref-type="bibr" rid="B42">Wang et al., 2022</xref>; <xref ref-type="bibr" rid="B44">Xie, 2022</xref>; <xref ref-type="bibr" rid="B49">Zhou, 2022</xref>; <xref ref-type="bibr" rid="B23">Jiao et al., 2023</xref>). (<xref ref-type="fig" rid="F1">Figure 1</xref>)</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Prisma flow diagram of this meta-analysis.</p>
</caption>
<graphic xlink:href="fphar-14-1237210-g001.tif"/>
</fig>
</sec>
<sec id="s3-2">
<title>3.2 Basic characteristics of included studies</title>
<p>All included studies were from China with the overall sample size of 1,991 participants. Among these 1,991 patients, 997 and 994 patients were randomized to the SV and ACEI/ARB groups, respectively. Nine (<xref ref-type="bibr" rid="B43">Wang et al., 2020</xref>; <xref ref-type="bibr" rid="B10">Cui, 2021</xref>; <xref ref-type="bibr" rid="B13">Dong, 2021</xref>; <xref ref-type="bibr" rid="B18">Haiyan and Xianghua, 2021</xref>; <xref ref-type="bibr" rid="B29">Liu and Zhou, 2021</xref>; <xref ref-type="bibr" rid="B17">Fu and Xu, 2022</xref>; <xref ref-type="bibr" rid="B42">Wang et al., 2022</xref>; <xref ref-type="bibr" rid="B49">Zhou, 2022</xref>) and five (<xref ref-type="bibr" rid="B7">Cao and Zhao, 2020</xref>; <xref ref-type="bibr" rid="B48">Zhao, 2020</xref>; <xref ref-type="bibr" rid="B22">Jiang, 2021</xref>; <xref ref-type="bibr" rid="B44">Xie, 2022</xref>; <xref ref-type="bibr" rid="B23">Jiao et al., 2023</xref>) RCTs were separately defined as high-quality and low-quality studies according to modified Jadad Scale. Specific information was shown in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Basic characteristics of included studies.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Author</th>
<th align="left">Year</th>
<th align="left">Country</th>
<th align="left">Sample size (EG)</th>
<th align="left">Sample size (CG)</th>
<th align="left">PCI</th>
<th align="left">Control intervention</th>
<th align="left">Endpoints</th>
<th align="left">Follow-up time (months)</th>
<th align="left">Modified jadad scale</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">
<xref ref-type="bibr" rid="B7">Cao and Zhao (2020)</xref>
</td>
<td align="left">2020</td>
<td align="left">China</td>
<td align="left">68</td>
<td align="left">68</td>
<td align="left">No</td>
<td align="left">NR</td>
<td align="left">&#x2460;&#x2461;&#x2463;&#x2465;</td>
<td align="left">2</td>
<td align="left">3</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B43">Wang et al. (2020)</xref>
</td>
<td align="left">2020</td>
<td align="left">China</td>
<td align="left">80</td>
<td align="left">80</td>
<td align="left">Yes</td>
<td align="left">Valsartan</td>
<td align="left">&#x2460;&#x2462;&#x2465;</td>
<td align="left">6</td>
<td align="left">4</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B48">Zhao (2020)</xref>
</td>
<td align="left">2020</td>
<td align="left">China</td>
<td align="left">62</td>
<td align="left">61</td>
<td align="left">Yes</td>
<td align="left">Valsartan</td>
<td align="left">&#x2460;&#x2462;</td>
<td align="left">6</td>
<td align="left">3</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B18">Haiyan and Xianghua (2021)</xref>
</td>
<td align="left">2021</td>
<td align="left">China</td>
<td align="left">68</td>
<td align="left">69</td>
<td align="left">Yes</td>
<td align="left">Enalapril</td>
<td align="left">&#x2460;&#x2462;&#x2464;&#x2465;</td>
<td align="left">6</td>
<td align="left">4</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B10">Cui (2021)</xref>
</td>
<td align="left">2021</td>
<td align="left">China</td>
<td align="left">104</td>
<td align="left">98</td>
<td align="left">Yes</td>
<td align="left">Valsartan</td>
<td align="left">&#x2460;&#x2461;&#x2462;&#x2463;&#x2464;&#x2465;</td>
<td align="left">6</td>
<td align="left">4</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B13">Dong (2021)</xref>
</td>
<td align="left">2021</td>
<td align="left">China</td>
<td align="left">64</td>
<td align="left">64</td>
<td align="left">Yes</td>
<td align="left">Enalapril</td>
<td align="left">&#x2460;&#x2462;&#x2464;&#x2465;</td>
<td align="left">6</td>
<td align="left">4</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B22">Jiang (2021)</xref>
</td>
<td align="left">2021</td>
<td align="left">China</td>
<td align="left">100</td>
<td align="left">100</td>
<td align="left">No</td>
<td align="left">Valsartan</td>
<td align="left">&#x2460;&#x2461;&#x2462;&#x2463;&#x2465;</td>
<td align="left">2</td>
<td align="left">3</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B29">Liu and Zhou (2021)</xref>
</td>
<td align="left">2021</td>
<td align="left">China</td>
<td align="left">60</td>
<td align="left">60</td>
<td align="left">Mixed</td>
<td align="left">Benazepril</td>
<td align="left">&#x2460;&#x2461;&#x2462;&#x2465;</td>
<td align="left">2</td>
<td align="left">4</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B42">Wang et al. (2022)</xref>
</td>
<td align="left">2022</td>
<td align="left">China</td>
<td align="left">60</td>
<td align="left">60</td>
<td align="left">No</td>
<td align="left">ACEI</td>
<td align="left">&#x2465;</td>
<td align="left">1</td>
<td align="left">4</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B17">Fu and Xu (2022)</xref>
</td>
<td align="left">2022</td>
<td align="left">China</td>
<td align="left">63</td>
<td align="left">63</td>
<td align="left">Yes</td>
<td align="left">Fosinopril sodium</td>
<td align="left">&#x2460;&#x2461;&#x2462;&#x2464;&#x2465;</td>
<td align="left">6</td>
<td align="left">4</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B35">Sheng (2022)</xref>
</td>
<td align="left">2022</td>
<td align="left">China</td>
<td align="left">60</td>
<td align="left">60</td>
<td align="left">Yes</td>
<td align="left">Benazepril</td>
<td align="left">&#x2460;&#x2461;&#x2462;&#x2464;&#x2465;</td>
<td align="left">6</td>
<td align="center">4</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B44">Xie (2022)</xref>
</td>
<td align="left">2022</td>
<td align="left">China</td>
<td align="left">50</td>
<td align="left">50</td>
<td align="left">No</td>
<td align="left">Valsartan</td>
<td align="left">&#x2460;&#x2461;</td>
<td align="left">NR</td>
<td align="left">3</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B49">Zhou (2022)</xref>
</td>
<td align="left">2022</td>
<td align="left">China</td>
<td align="left">107</td>
<td align="left">110</td>
<td align="left">Yes</td>
<td align="left">Benazepril</td>
<td align="left">&#x2460;&#x2461;&#x2462;&#x2464;&#x2465;</td>
<td align="left">6</td>
<td align="left">5</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B23">Jiao et al. (2023)</xref>
</td>
<td align="left">2023</td>
<td align="left">China</td>
<td align="left">51</td>
<td align="left">51</td>
<td align="left">Yes</td>
<td align="left">Enalapril</td>
<td align="left">&#x2460;&#x2461;&#x2462;&#x2465;</td>
<td align="left">6</td>
<td align="left">3</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>EG: experimental group; CG: control group; PCI: percutaneous coronary intervention; NR: not reported; ACEI: angiotensin-converting enzyme inhibitor; &#x2460;: LVEF: left ventricular ejection fraction; &#x2461;: LVEDD: left ventricular end-diastolic diameter; &#x2462;: NT-proBNP: N-terminal pro-B, type natriuretic peptide; &#x2463;: 6-min walk test; &#x2464;: major adverse cardiovascular event; &#x2465;: adverse reaction.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-3">
<title>3.3 Efficacy of SV by comparison of ACEI/ARB for HF-AMI</title>
<p>The LVEF, LVEDD, NT-proBNP and 6MWT values after the SV or ACEI/ARB treatment were pooled to identify the efficacy of SV in the treatment of HF-AMI compared to ACEI/ARB. The pooled results demonstrated that patients in the SV group showed significantly better efficacy representing as increased LVEF (WMD: 4.43%, 95% CI: 2.84%&#x2013;6.02%, <italic>p</italic> &#x3c; 0.001; I<sup>2</sup>: 91%, <italic>p</italic> &#x3c; 0.001) (<xref ref-type="fig" rid="F2">Figure 2</xref>) and 6MWT (WMD: 30.84&#xa0;m, 95% CI: 25.65&#xa0;m&#x2013;36.03m, <italic>p</italic> &#x3c; 0.001; I<sup>2</sup>: 88%, <italic>p</italic> &#x3c; 0.001) (<xref ref-type="fig" rid="F3">Figure 3</xref>) and decreased LVEDD (WMD: &#x2212;3.24&#xa0;mm, 95% CI: &#x2212;4.96&#xa0;mm &#x223c; -1.52&#xa0;mm, <italic>p</italic> &#x3c; 0.001; I<sup>2</sup>: 96%, <italic>p</italic> &#x3c; 0.001) (<xref ref-type="fig" rid="F4">Figure 4</xref>) and NT-proBNP (WMD: &#x2212;188.12&#xa0;pg/mL, 95% CI: &#x2212;246.75&#xa0;pg/mL &#x223c; -129.49&#xa0;pg/mL, <italic>p</italic> &#x3c; 0.001; I<sup>2</sup>: 96%, <italic>p</italic> &#x3c; 0.001) (<xref ref-type="fig" rid="F5">Figure 5</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Forest plot for the left ventricular ejection fraction in two groups.</p>
</caption>
<graphic xlink:href="fphar-14-1237210-g002.tif"/>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Forest plot for the 6-min walk test in two groups.</p>
</caption>
<graphic xlink:href="fphar-14-1237210-g003.tif"/>
</fig>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Forest plot for the left ventricular end-diastolic diameter in two groups.</p>
</caption>
<graphic xlink:href="fphar-14-1237210-g004.tif"/>
</fig>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Forest plot for the NT-proBNP N-terminal pro-B type natriuretic peptide in two groups.</p>
</caption>
<graphic xlink:href="fphar-14-1237210-g005.tif"/>
</fig>
<p>Furthermore, subgroup analysis based on the history of PCI manifested similar results. Patients with and without the history of PCI in the SV group both showed increased LVEF (WMD: 3.31%, 95% CI: 2.46%&#x2013;4.16%, <italic>p</italic> &#x3c; 0.001; WMD: 7.95%, 95% CI: 3.79%&#x2013;12.12%, <italic>p</italic> &#x3c; 0.001) and 6MWT (WMD: 25.38&#xa0;m, 95% CI: 19.09&#xa0;m&#x2013;31.67&#xa0;m, <italic>p</italic> &#x3c; 0.001; WMD: 41.46&#xa0;m, 95% CI: 15.84&#xa0;m&#x2013;67.07&#xa0;m, <italic>p</italic> &#x3d; 0.002) and decreased LVEDD (WMD: 2.28&#xa0;mm, 95% CI: &#x2212;3.73&#xa0;mm &#x223c; -0.84&#xa0;mm, <italic>p</italic> &#x3d; 0.002; WMD: &#x2212;5.01&#xa0;mm, 95% CI: &#x2212;6.87&#xa0;mm &#x223c; -3.15&#xa0;mm, <italic>p</italic> &#x3c; 0.001) and NT-proBNP (WMD: &#x2212;201.62&#xa0;pg/mL, 95% CI: &#x2212;269.92&#xa0;pg/mL &#x223c; -133.32&#xa0;pg/mL, <italic>p</italic> &#x3c; 0.001; WMD: &#x2212;115.34&#xa0;pg/mL, 95% CI: &#x2212;143.19&#xa0;pg/mL &#x223c; -87.49&#xa0;pg/mL, <italic>p</italic> &#x3c; 0.001). Detailed data were presented in <xref ref-type="table" rid="T2">Table 2</xref>.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Results of meta-analysis.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left"/>
<th align="left">No. studies</th>
<th align="left">WMD/RR</th>
<th align="left">95% confidence interval</th>
<th align="left">
<italic>p</italic>-value</th>
<th align="left">I<sup>2</sup>
</th>
<th align="left">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Left ventricular ejection fraction</td>
<td align="left">13</td>
<td align="left">4.43%</td>
<td align="left">2.84%&#x2013;6.02%</td>
<td align="left">&#x3c;0.001</td>
<td align="left">91%</td>
<td align="left">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">PCI group</td>
<td align="left">10</td>
<td align="left">3.31%</td>
<td align="left">2.46%&#x2013;4.16%</td>
<td align="left">&#x3c;0.001</td>
<td align="left">53%</td>
<td align="left">0.02</td>
</tr>
<tr>
<td align="left">Non-PCI group</td>
<td align="left">3</td>
<td align="left">7.95%</td>
<td align="left">3.79%&#x2013;12.12%</td>
<td align="left">&#x3c;0.001</td>
<td align="left">96%</td>
<td align="left">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">Left ventricular end-diastolic diameter</td>
<td align="left">9</td>
<td align="left">&#x2212;3.24&#xa0;mm</td>
<td align="left">&#x2212;4.96&#xa0;mm &#x223c; -1.52&#xa0;mm</td>
<td align="left">&#x3c;0.001</td>
<td align="left">96%</td>
<td align="left">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">PCI group</td>
<td align="left">6</td>
<td align="left">&#x2212;2.28&#xa0;mm</td>
<td align="left">&#x2212;3.73&#xa0;mm &#x223c; -0.84&#xa0;mm</td>
<td align="left">0.002</td>
<td align="left">91%</td>
<td align="left">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">Non-PCI group</td>
<td align="left">3</td>
<td align="left">&#x2212;5.01&#xa0;mm</td>
<td align="left">&#x2212;6.87&#xa0;mm &#x223c; -3.15&#xa0;mm</td>
<td align="left">&#x3c;0.001</td>
<td align="left">81%</td>
<td align="left">0.006</td>
</tr>
<tr>
<td align="left">N-terminal pro-B type natriuretic peptide</td>
<td align="left">11</td>
<td align="left">&#x2212;188.12&#xa0;pg/mL</td>
<td align="left">&#x2212;246.75&#xa0;pg/mL &#x223c; -129.49&#xa0;pg/mL</td>
<td align="left">&#x3c;0.001</td>
<td align="left">96%</td>
<td align="left">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">PCI group</td>
<td align="left">10</td>
<td align="left">&#x2212;201.62&#xa0;pg/mL</td>
<td align="left">&#x2212;269.92&#xa0;pg/mL &#x223c; -133.32&#xa0;pg/mL</td>
<td align="left">&#x3c;0.001</td>
<td align="left">97%</td>
<td align="left">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">Non-PCI group</td>
<td align="left">1</td>
<td align="left">&#x2212;115.34&#xa0;pg/mL</td>
<td align="left">&#x2212;143.19&#xa0;pg/mL &#x223c; -87.49&#xa0;pg/mL</td>
<td align="left">&#x3c;0.001</td>
<td align="left">-</td>
<td align="left">-</td>
</tr>
<tr>
<td align="left">6-min walk test</td>
<td align="left">3</td>
<td align="left">30.84&#xa0;m</td>
<td align="left">25.65m&#x2013;36.03&#xa0;m</td>
<td align="left">&#x3c;0.001</td>
<td align="left">88%</td>
<td align="left">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">PCI group</td>
<td align="left">1</td>
<td align="left">25.38&#xa0;m</td>
<td align="left">19.09m&#x2013;31.67&#xa0;m</td>
<td align="left">&#x3c;0.001</td>
<td align="left">-</td>
<td align="left">-</td>
</tr>
<tr>
<td align="left">Non-PCI group</td>
<td align="left">2</td>
<td align="left">41.46&#xa0;m</td>
<td align="left">15.84m&#x2013;67.07&#xa0;m</td>
<td align="left">0.002</td>
<td align="left">87%</td>
<td align="left">0.006</td>
</tr>
<tr>
<td align="left">Major adverse cardiovascular events</td>
<td align="left">6</td>
<td align="left">0.60</td>
<td align="left">0.47&#x2013;0.75</td>
<td align="left">&#x3c;0.001</td>
<td align="left">0%</td>
<td align="left">0.85</td>
</tr>
<tr>
<td align="left">PCI group</td>
<td align="left">6</td>
<td align="left">0.60</td>
<td align="left">0.47&#x2013;0.75</td>
<td align="left">&#x3c;0.001</td>
<td align="left">0%</td>
<td align="left">0.85</td>
</tr>
<tr>
<td align="left">Adverse reaction</td>
<td align="left">12</td>
<td align="left">0.74</td>
<td align="left">0.51&#x2013;1.09</td>
<td align="left">0.13</td>
<td align="left">54%</td>
<td align="left">0.01</td>
</tr>
<tr>
<td align="left">PCI group</td>
<td align="left">9</td>
<td align="left">0.89</td>
<td align="left">0.60&#x2013;1.32</td>
<td align="left">0.57</td>
<td align="left">48%</td>
<td align="left">0.05</td>
</tr>
<tr>
<td align="left">Non-PCI group</td>
<td align="left">3</td>
<td align="left">0.38</td>
<td align="left">0.20&#x2013;0.71</td>
<td align="left">0.002</td>
<td align="left">0%</td>
<td align="left">0.40</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>PCI: percutaneous coronary intervention; WMD: weighted mean difference; RR: relative risk.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-4">
<title>3.4 Safety of SV by comparison of ACEI/ARB for HF-AMI</title>
<p>The incidence rates of MACE and AR were compared between two groups to identify the safety of SV in the treatment of HF-AMI compared to ACEI/ARB. The pooled results revealed that SV group showed significantly lower incidence rate of MACE (RR: 0.60, 95% CI: 0.47&#x2013;0.75, <italic>p</italic> &#x3c; 0.001; I<sup>2</sup>: 0%, <italic>p</italic> &#x3d; 0.85) (<xref ref-type="fig" rid="F6">Figure 6</xref>). Meanwhile, there was no significant difference in the incidence of AE between the two groups (RR: 0.74, 95% CI: 0.51&#x2013;1.09, <italic>p</italic> &#x3d; 0.13; I<sup>2</sup>: 54%, <italic>p</italic> &#x3d; 0.01) (<xref ref-type="fig" rid="F7">Figure 7</xref>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Forest plot for the major adverse cardiovascular event in two groups.</p>
</caption>
<graphic xlink:href="fphar-14-1237210-g006.tif"/>
</fig>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Forest plot for the adverse reaction in two groups.</p>
</caption>
<graphic xlink:href="fphar-14-1237210-g007.tif"/>
</fig>
<p>However, patients without the history of PCI in the SV group showed significantly decreased risk of AE (RR: 0.38, 95% CI: 0.20&#x2013;0.71, <italic>p</italic> &#x3d; 0.002; I<sup>2</sup>: 0%, <italic>p</italic> &#x3d; 0.40) (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
</sec>
<sec id="s3-5">
<title>3.5 Sensitivity analysis and publication bias</title>
<p>Sensitivity analysis for the LVEF, LVEDD and NT-proBNP were performed, which indicated the stability of the results and none of included studies caused an obvious impact on the overall results (<xref ref-type="sec" rid="s10">Supplementary Figure S1A&#x2013;C</xref>).</p>
<p>Besides, asymmetric Begg&#x2019;s funnel plots (<xref ref-type="sec" rid="s10">Supplementary Figure S2A,B</xref>) and P values of Egger&#x2019;s test (<italic>p</italic> &#x3d; 0.004; <italic>p</italic> &#x3d; 0.002) indicated obvious publication bias, but the results of trim-and-fill method showed that potentially unpublished publications did not cause a significant impact on the overall conclusion. The symmetric Begg&#x2019;s funnel plot (<xref ref-type="sec" rid="s10">Supplementary Figure S2C</xref>) and <italic>p</italic> &#x3d; 0.625 of Egger&#x2019;s test indicated nonsignificant publication bias for LVEDD.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<p>The current meta-analysis has demonstrated that SV is superior to ACEI/ARB in the treatment of HF-AMI based on current evidence by relevant RCTs. In detail, patients receiving SVs are more likely to experience significantly better efficacy representing as increased LVEF and 6MWT and decreased LVEDD and NT-proBNP. Furthermore, patients in the SV group are less like to have MACE and AE. However, due to the limitations existed in this meta-analysis and low quality of some included studies, more high-quality RCTs from other countries are still needed to further verify above findings.</p>
<p>SV is a dual inhibitor for angiotensin receptor and neprilysin and could simultaneously regulate the renin-angiotensin-aldosterone system (RAAS) and natriuretic peptide system (NPS) (<xref ref-type="bibr" rid="B25">Kario, 2018</xref>). The loss of myocardial cells, ventricular remodeling and activation of neuroendocrine system are the basic pathological processes of HF-AMI and the RAAS, sympathetic nervous system (SNS) and NPS play essential roles in this process (<xref ref-type="bibr" rid="B37">Singh et al., 2017</xref>; <xref ref-type="bibr" rid="B33">Pascual-Figal et al., 2021</xref>). LVEF, LVEDD and NT-proBNP are commonly used to assess the ventricular remodeling and NPS, and our results have indicated that SV could better improve ventricular remodeling and NPS. Overactivation of RAAS can lead to increased aldosterone secretion, vasoconstriction, hypertrophy and apoptosis of cardiomyocytes, resulting in water and sodium retention and myocardial fibrosis, thus triggering and aggravating symptoms of heart failure (<xref ref-type="bibr" rid="B30">Mochel et al., 2019</xref>; <xref ref-type="bibr" rid="B41">Wachter et al., 2020</xref>). Therefore, the inhibition of RAAS is vital for the treatment of patients of HF-AMI, which could be reached by both SV and ACEI/ARB. Besides, SV also enhances NPS by inhibiting neprilysin and NPS plays a strong role in anti-myocardial hypertrophy, anti-myocardial fibrosis and antagonistic overactivation of sympathetic and RAAS (<xref ref-type="bibr" rid="B28">Lillyblad, 2015</xref>; <xref ref-type="bibr" rid="B45">Yamamoto and Rakugi, 2021</xref>). Natriuretic peptides are commonly applied as markers for cardiovascular diseases including the HF in clinics. It has been reported that SV could produce a synergistic effect by reducing the angiotensin II-related signal transduction pathways and increasing the level of natriuretic peptides (<xref ref-type="bibr" rid="B40">Volpe et al., 2023</xref>). Above researches explain why the efficacy of SV is superior to ACEI/ARB. Besides, natriuretic peptides exert many cardiac beneficial effects such as the ability to protect cardiomyocytes by stimulating autophagy through the activation of transcription factor EB after myocardial and in HF with reduced ejection fraction (<xref ref-type="bibr" rid="B16">Forte et al., 2023</xref>; <xref ref-type="bibr" rid="B34">Raffa et al., 2023</xref>). Therefore, the results of this meta-analysis have well demonstrated that SV is more effective and safer than ACEI/ARB for the treatment of HF-AMI based on 14 relevant RCTs.</p>
<p>Our results have indicated that SV could significantly improve the ventricular remodeling and decrease the risk of MACE, which is inconsistent with the findings of Docherty et al. <xref ref-type="bibr" rid="B11">Docherty et al. (2021)</xref>. In their RCT, SV did not significantly reduce LVEF, left ventricular end-systolic volume index (LVEVI) or NT-proBNP compared with valsartan (<xref ref-type="bibr" rid="B11">Docherty et al., 2021</xref>). The main reason may be the different enrolled patients. Although the included patients were all MI patients, Docherty et al. included patients with asymptomatic left ventricular systolic dysfunction or transient pulmonary congestion after MI, and the baseline level of NT-proBNP was low, which did not conform to HF diagnosis. Asymptomatic left ventricular systolic dysfunction after MI is an important risk factor for developing HF, which may increase the likelihood of developing HF in the future. However, this does not indicate that all patients will develop HF, and a considerable number of patients will return to normal. Ventricular remodeling and neuroendocrine system activation of patients in their study are relatively mild. There is no need to enhance NPS to antagonize the RAAS system, so it is only necessary to use ACEI/ARB to inhibit the RAAs system, and SV does not show an advantage. HF-AMI patients included in this meta-analysis showed HF-related symptoms and signs, high level of NT-proBNP, high degree of ventricular remodeling and overactivation of neuroendocrine system, and requires stronger NPS to antagonize it. Therefore, SV with enhanced effect of NPS showed better efficacy.</p>
<p>In this meta-analysis, we excluded 30 RCTs with small sample sizes (&#x3c;100 cases) in order to improve the reliability of conclusions. These 30 studies were all published in Chinese with relatively low quality except the study by Docherty et al. <xref ref-type="bibr" rid="B11">Docherty et al. (2021)</xref>. Their sample sizes ranged from 30 to 98 cases and were published between 2019 and 2023. After careful team discussion, we decided to exclude these studies to reduce the bias caused by small sample sizes, so as to make the conclusion more rigorous and reliable. Notably, some included studies did not report baseline values of efficacy endpoints, thus we compared the post-treatment values between the SV and ACEI/ARB groups instead of the changes of efficacy endpoints. Besides, we did not establish the inclusion criteria for Chinese populations initially, but all available studies focused on Chinese patients. Therefore, our findings about the efficacy and safety of SV for HF-AMI are limited to the Chinese patient population.</p>
<p>There are several limitations existed in this meta-analysis. First, all patients are from China, which might affect the generality of our findings. Second, five included studies are with relatively low quality, modified Jadad Scale 3. Third, ACEI/ARB drugs in the control group varies, which might cause some bias. Four, significant heterogeneity existed during the analysis of some outcomes and subgroup analysis failed to explain the main sources of heterogeneity. Five, due to the lack of original data, we are unable to conduct more subgroup analysis based on other important parameters such as the age, and dose and course of SV. Six, some included studies did not report baseline values of efficacy endpoints, thus we compared the post-treatment values between the SV and ACEI/ARB groups instead of the changes of efficacy endpoints, which might.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>5 Conclusion</title>
<p>For the treatment of HF-AMI, SV is more effective and safer than ACEI/ARB based on current evidence. However, more high-quality RCTs are still needed to verify above findings due to the low-quality of some included studies.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s10">Supplementary Material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7">
<title>Author contributions</title>
<p>XC designed the study. JG and XZ established the process of literature selection and screened the abstracts and articles. MX and SD analyzed data. JG and XZ wrote the main manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="COI-statement" id="s8">
<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="s9">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s10">
<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/fphar.2023.1237210/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2023.1237210/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Presentation1.PDF" id="SM1" mimetype="application/PDF" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Presentation2.PDF" id="SM2" mimetype="application/PDF" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
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