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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.2025.1513641</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>Comparative efficacy of incretin drugs on glycemic control, body weight, and blood pressure in adults with overweight or obesity and with/without type 2 diabetes: a systematic review and network meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liu</surname>
<given-names>Song</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2872605"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Hu</surname>
<given-names>Jiaqiang</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2379606"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Chen</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Hang</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>He</surname>
<given-names>Chunyang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Pharmacy, The Third People&#x2019;s Hospital of Chengdu, The Affiliated Hospital of Southwest Jiao Tong University</institution>, <addr-line>Chengdu, Sichuan</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Pharmacy, Guang&#x2019;an People&#x2019;s Hospital</institution>, <addr-line>Guang&#x2019;an, Sichuan</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Pharmacy, Nanchong Central Hospital, The Second Clinical Medical School of North Sichuan Medical College</institution>, <addr-line>Nanchong, Sichuan</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Neurology, Affiliated Banan 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: Thomas Karagiannis, Aristotle University of Thessaloniki, Greece</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Peter Fasching, Vienna Health Association, Austria</p>
<p>Angela Baalmann, High Point University, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Song Liu, <email xlink:href="mailto:1552355966@qq.com">1552355966@qq.com</email>; Jiaqiang Hu, <email xlink:href="mailto:1325742323@qq.com">1325742323@qq.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>04</day>
<month>02</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1513641</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>10</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>01</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Liu, Hu, Zhao, Liu and He</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Liu, Hu, Zhao, Liu and He</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>Background</title>
<p>The rapid development of multi-receptor drugs targeting glucagon-like peptide-1 receptor (GLP-1R) is driving significant advancements in the treatment of individuals with type 2 diabetes and obesity. This systematic review and network meta-analysis aims to compare the efficacy and safety of multi-receptor drugs in adults with overweight or obesity, with or without type 2 diabetes.</p>
</sec>
<sec>
<title>Methods</title>
<p>A systematic search was conducted in PubMed, Cochrane, Web of Science, Embase, CNKI, and WanFang databases up to May 12, 2024. Randomized controlled trials (RCTs) with an intervention duration of at least 12 weeks were included. The population of interest consisted of individuals with overweight or obesity, with or without type 2 diabetes. Eligible studies compared multi-receptor drugs with placebo or other multi-receptor drugs. The primary outcomes were weight reduction, glycated hemoglobin (HbA<sub>1c</sub>), fasting plasma glucose (FPG), blood pressure changes, and adverse events. Risk of bias was assessed using the version 2 of the Cochrane risk-of-bias tool (ROB2), and a random-effects network meta-analysis was performed using the frequentist approach. Confidence in effect estimates was evaluated using the Confidence In Network Meta-Analysis (CINeMA) framework.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 24 trials, involving 9165 participants, were included. Retatrutide (mean difference (MD): -11.91&#xa0;kg, 95% CI: -19.00 to -4.82, P-score: 0.80, p: 0.0003) and Tirzepatide (MD: -12.78&#xa0;kg, 95% CI: -16.10 to -9.46, P-score: 0.89, p &lt; 0.0001) exhibited superior efficacy in reducing body weight, with all other agents except Mazdutide (MD: -5.31&#xa0;kg, 95% CI: -9.78 to -0.84, P-score: 0.37, p: 0.0189) achieving reductions of over 8&#xa0;kg. In patients with type 2 diabetes, all agents reduced HbA<sub>1c</sub> by over 1%, with Tirzepatide (MD: -1.87%, 95% CI: -2.15 to -1.59, P-score: 0.87, p &lt; 0.0001) and Mazdutide (MD: -1.89%, 95% CI: -2.43 to -1.35, P-score: 0.88, p &lt; 0.0001) showing the greatest effects on glycemic control. For blood pressure management, Tirzepatide significantly reduced systolic blood pressure (MD: -6.69 mmHg, 95% CI: -7.62 to -5.75, P-score: 0.84, p &lt; 0.0001) and diastolic blood pressure (MD: -3.73 mmHg, 95% CI: -4.75 to -2.71, P-score: 0.92, p &lt; 0.0001), with nearly all agents lowering systolic blood pressure by more than 5 mmHg. Non-diabetic participants showed more pronounced improvements in both weight and blood pressure. Safety analysis revealed that Tirzepatide had a favorable safety profile and all agents showed no significant impact on serious adverse events compared to placebo.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Multi-receptor drugs demonstrated substantial therapeutic potential in weight management, glycemic control, and blood pressure regulation in adults with overweight or obesity, with or without diabetes, with a generally favorable safety profile.</p>
</sec>
<sec>
<title>Systematic review registration</title>
<p>
<uri xlink:href="https://www.crd.york.ac.uk/prospero/">https://www.crd.york.ac.uk/prospero/</uri>, identifier CRD42024554005.</p>
</sec>
</abstract>
<kwd-group>
<kwd>GLP-1 receptor agonists</kwd>
<kwd>network meta-analysis</kwd>
<kwd>multi-receptor drugs</kwd>
<kwd>obesity</kwd>
<kwd>type 2 diabetes</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="35"/>
<page-count count="11"/>
<word-count count="4675"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Clinical Diabetes</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>In the 21st century, obesity and type 2 diabetes have emerged as global epidemics. According to the Global Burden of Disease Obesity Collaboration, more than 600 million adults worldwide are affected by obesity, while diabetes impacts approximately 476 million individuals, 463 million of whom have type 2 diabetes (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). These chronic conditions pose serious threats to both physical and mental health, increasing the risk of cardiovascular disease, various cancers, and depression, thereby challenging public health systems globally (<xref ref-type="bibr" rid="B3">3</xref>). Additionally, obesity is recognized as an independent and crucial risk factor for the development of type 2 diabetes (<xref ref-type="bibr" rid="B4">4</xref>), making weight management essential for both prevention and treatment.</p>
<p>In recent years, significant progress has been made in the treatment of diabetes and obesity with the development of novel therapeutic agents. Glucagon-like peptide-1 receptor agonists (GLP-1RAs) represent a new class of drugs that not only improve glycemic control but also promote weight loss, thereby reducing the risk of cardiovascular diseases (<xref ref-type="bibr" rid="B5">5</xref>). Several GLP-1RAs, such as Liraglutide, Semaglutide, and Dulaglutide, have been approved by the U.S. Food and Drug Administration (FDA) for the treatment of overweight or obesity and the management of type 2 diabetes (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>). Notably, Tirzepatide, a dual glucose-dependent insulinotropic polypeptide receptor (GIPR) and GLP-1R agonist, has demonstrated superior efficacy in both weight loss and glycemic control compared to single GLP-1RAs, such as Liraglutide and Semaglutide (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>). Furthermore, several RCTs in adults with overweight or obesity have evaluated other multi-receptor drugs, such as Retatrutide, which targets GIPR/Glucagon receptor (GCGR)/GLP-1R, and Mazdutide, which targets GCGR/GLP-1R, showing promising results in both glycemic management and weight reduction (<xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>). These findings suggest that targeting GIPR and/or GCGR alongside GLP-1R may represent a more effective therapeutic strategy, potentially yielding superior clinical outcomes compared to single GLP-1RAs.</p>
<p>The development of multi-receptor drugs based on GLP-1R is a rapidly advancing field, with several new drugs, including Survodutide, Efinopegdutide, AMG133, and Retatrutide, showing potential clinical benefits. Although there has been comprehensive comparison among various GLP-1RAs (<xref ref-type="bibr" rid="B12">12</xref>), there remains a lack of comprehensive comparisons between different multi-receptor drugs, limiting the availability of sufficient and timely evidence for clinicians, patients, and researchers. Therefore, we conducted a systematic review and network meta-analysis to assess the safety and efficacy of multi-receptor drugs in patients with overweight or obesity, with or without type 2 diabetes. Our study incorporates the most up-to-date and comprehensive RCTs involving multi-receptor drugs targeting GLP-1R, including Survodutide, Mazdutide, Efinopegdutide, Retatrutide, Tirzepatide, and other novel drugs.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methods</title>
<p>The protocol for this systematic review and network meta-analysis was registered on PROSPERO (CRD42024554005). This&#xa0;study was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Network Meta-Analyses (PRISMA-NMA) guidelines.</p>
<sec id="s2_1">
<label>2.1</label>
<title>Search strategy</title>
<p>A comprehensive search was conducted across PubMed, Embase, Web of Science, the Cochrane Central Register of Controlled Trials (CENTRAL), CNKI, and WanFang databases from inception to May 12, 2024. The search strategy combined Medical Subject Headings (MeSH) terms and free-text keywords to identify RCTs involving multi-receptor agonists targeting GLP-1R. No language restrictions were applied. Detailed search strategies are provided in the <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Materials</bold>
</xref> (Appendix 1).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Eligibility criteria</title>
<p>Eligible RCTs included patients with overweight or obesity, with or without type 2 diabetes. Participants in the intervention group were treated with the following multi-receptor drugs: Retatrutide, Tirzepatide, Survodutide, Mazdutide, Efinopegdutide, and AMG 133. The control group received either a different multi-receptor drug or a placebo. Studies with a treatment duration of less than 12 weeks or those involving prematurely terminated interventions were excluded. Duplicated studies, conference abstracts, and publications lacking relevant outcomes were also excluded. Two independent reviewers screened the titles and abstracts to exclude irrelevant studies, followed by full-text review of potentially eligible articles based on predefined inclusion and exclusion criteria. Any disagreements in study selection were resolved through discussion with a third reviewer.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Data extraction</title>
<p>Two reviewers independently extracted data from the included studies using a pre-designed form. Extracted information included basic study details (first author, year of publication, clinicaltrials.gov registration number, and treatment duration) and baseline characteristics of the population (age, gender, sample size, and intervention details such as drug name and dosage). To comprehensively assess efficacy and safety, the following outcomes were considered: efficacy (changes from baseline in HbA<sub>1c</sub>, FPG, body weight, the proportion of participants achieving a weight loss of more than 5%, body mass index (BMI), waist circumference, systolic and diastolic blood pressure) and safety (adverse events and serious adverse events). Any discrepancies in data extraction between the two reviewers were resolved through review and evaluation by a third investigator.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Risk of bias assessment</title>
<p>Two reviewers independently assessed the risk of bias in the included trials using the Cochrane Risk of Bias tool for randomized trials. Any discrepancies were resolved through discussion with a third reviewer to reach a consensus. The studies were categorized as having low, some concerns, or high risk of bias. A comparison-adjusted funnel plot was used to assess publication bias, and Egger&#x2019;s test was performed to quantitatively evaluate the symmetry of the funnel plot (<xref ref-type="bibr" rid="B18">18</xref>).</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Statistical analysis</title>
<p>A random-effects model was employed for the network meta-analysis under the frequentist framework, with statistical analyses performed using R version 4.3.2 and the &#x2018;netmeta&#x2019; package. Continuous outcomes, including HbA<sub>1c</sub>, FPG, body weight, BMI, waist circumference, diastolic blood pressure, and systolic blood pressure, were evaluated using mean differences (MDs) with 95% confidence intervals (CIs). For categorical outcomes, odds ratios (ORs) were calculated for participants achieving a weight loss of more than 5%, adverse events, and serious adverse events, with both efficacy and safety outcomes reported alongside 95% CIs. Secondary analyses were conducted to assess changes in body weight, and systolic and diastolic blood pressure between diabetic and non-diabetic populations. The P-score method was applied to rank the effectiveness and safety of the interventions (<xref ref-type="bibr" rid="B19">19</xref>).</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Assessment of confidence in findings</title>
<p>We assessed the effect estimates for the primary outcomes using CINeMA framework and methodology (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>). This evaluation encompassed six domains: within-study bias, across-study bias, indirectness, imprecision, heterogeneity, and incoherence. Each domain was rated on a three-level scale: no concerns, some concerns, or major concerns. If a domain was rated as &#x201c;serious,&#x201d; the quality of evidence was downgraded by one level; if rated as &#x201c;very serious,&#x201d; it was downgraded by two levels. The ratings across all domains were then synthesized to provide an overall confidence rating, categorized as low, moderate, or high.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<p>Following our predefined search strategy, a total of 3,918 records were initially identified. After removing 1,227 duplicates and screening titles and abstracts to exclude irrelevant studies, full-text assessments were subsequently conducted for 297 articles (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Based on the inclusion criteria, there were 24 RCTs involving 9165 participants. Of these, 11 RCTs were conducted in individuals with overweight or obesity and type 2 diabetes (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>), and the remaining 13 RCTs involved individuals with overweight or obesity but without diabetes (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). The sample sizes of the included RCTs ranged from 24 to 2,539 adults, with intervention durations spanning 12 to 72 weeks. A detailed summary of the characteristics of these 24 studies and their participants is provided in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S12</bold>
</xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>PRISMA flow diagram of the study selection process.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1513641-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Study of patients with type 2 diabetes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Study</th>
<th valign="top" align="left">Trial registration no.</th>
<th valign="top" align="left">Study duration</th>
<th valign="top" align="left">Number of participants</th>
<th valign="top" colspan="2" align="left">Treatments</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Matthias2024</td>
<td valign="top" align="left">NCT04153929</td>
<td valign="top" align="left">16 weeks</td>
<td valign="top" align="left">361</td>
<td valign="top" align="left">Placebo: 59</td>
<td valign="top" align="left">Survodutide: 302</td>
</tr>
<tr>
<td valign="top" align="left">Heise2022</td>
<td valign="top" align="left">NCT03951753</td>
<td valign="top" align="left">28 weeks</td>
<td valign="top" align="left">73</td>
<td valign="top" align="left">Placebo:28</td>
<td valign="top" align="left">Tirzepatide: 45</td>
</tr>
<tr>
<td valign="top" align="left">Zhang2024</td>
<td valign="top" align="left">NCT04965506</td>
<td valign="top" align="left">20 weeks</td>
<td valign="top" align="left">200</td>
<td valign="top" align="left">Placebo:51</td>
<td valign="top" align="left">Mazdutide:149</td>
</tr>
<tr>
<td valign="top" align="left">Jiang2022</td>
<td valign="top" align="left">NCT04466904</td>
<td valign="top" align="left">12 weeks</td>
<td valign="top" align="left">42</td>
<td valign="top" align="left">Placebo:12</td>
<td valign="top" align="left">Mazdutide: 30</td>
</tr>
<tr>
<td valign="top" align="left">Di Prospero2021</td>
<td valign="top" align="left">NCT03586830</td>
<td valign="top" align="left">12 weeks</td>
<td valign="top" align="left">195</td>
<td valign="top" align="left">Placebo: 49</td>
<td valign="top" align="left">Efinopegdutide: 146</td>
</tr>
<tr>
<td valign="top" align="left">Dahl2022</td>
<td valign="top" align="left">NCT04039503</td>
<td valign="top" align="left">40 weeks</td>
<td valign="top" align="left">475</td>
<td valign="top" align="left">Placebo: 120</td>
<td valign="top" align="left">Tirzepatide:355</td>
</tr>
<tr>
<td valign="top" align="left">Urva2022</td>
<td valign="top" align="left">NCT04143802</td>
<td valign="top" align="left">12 weeks</td>
<td valign="top" align="left">67</td>
<td valign="top" align="left">Placebo: 15</td>
<td valign="top" align="left">Retatrutide: 52</td>
</tr>
<tr>
<td valign="top" align="left">Rosenstock2023</td>
<td valign="top" align="left">NCT04867785</td>
<td valign="top" align="left">36 weeks</td>
<td valign="top" align="left">235</td>
<td valign="top" align="left">Placebo:45</td>
<td valign="top" align="left">Retatrutide: 190</td>
</tr>
<tr>
<td valign="top" align="left">Rosenstock2021</td>
<td valign="top" align="left">NCT03954834</td>
<td valign="top" align="left">40 weeks</td>
<td valign="top" align="left">478</td>
<td valign="top" align="left">Placebo:115</td>
<td valign="top" align="left">Tirzepatide:363</td>
</tr>
<tr>
<td valign="top" align="left">Frias2018</td>
<td valign="top" align="left">NCT03131687</td>
<td valign="top" align="left">26 weeks</td>
<td valign="top" align="left">263</td>
<td valign="top" align="left">Placebo:51</td>
<td valign="top" align="left">Tirzepatide: 212</td>
</tr>
<tr>
<td valign="top" align="left">Garvey2023</td>
<td valign="top" align="left">NCT04657003</td>
<td valign="top" align="left">72 weeks</td>
<td valign="top" align="left">938</td>
<td valign="top" align="left">Placebo:315</td>
<td valign="top" align="left">Tirzepatide: 623</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Study of patients without type 2 diabetes.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Study</th>
<th valign="top" align="left">Trial registration no.</th>
<th valign="top" align="left">Study duration</th>
<th valign="top" align="left">Number of participants</th>
<th valign="top" colspan="2" align="left">Treatments</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Wadden2023</td>
<td valign="top" align="left">NCT04657016</td>
<td valign="top" align="left">72 weeks</td>
<td valign="top" align="left">579</td>
<td valign="top" align="left">Placebo: 292</td>
<td valign="top" align="left">Tirzepatide: 287</td>
</tr>
<tr>
<td valign="top" align="left">Aronne2024</td>
<td valign="top" align="left">NCT04660643</td>
<td valign="top" align="left">52 weeks</td>
<td valign="top" align="left">770</td>
<td valign="top" align="left">Placebo: 335</td>
<td valign="top" align="left">Tirzepatide: 335</td>
</tr>
<tr>
<td valign="top" align="left">Alba2021</td>
<td valign="top" align="left">NCT03486392</td>
<td valign="top" align="left">26 weeks</td>
<td valign="top" align="left">355</td>
<td valign="top" align="left">Placebo: 60</td>
<td valign="top" align="left">Efinopegdutide:295</td>
</tr>
<tr>
<td valign="top" align="left">Jastreboff2023</td>
<td valign="top" align="left">NCT04881760</td>
<td valign="top" align="left">48 weeks</td>
<td valign="top" align="left">338</td>
<td valign="top" align="left">Placebo: 70</td>
<td valign="top" align="left">Retatrutide: 268</td>
</tr>
<tr>
<td valign="top" align="left">Arun2024</td>
<td valign="top" align="left">NCT04771273</td>
<td valign="top" align="left">48 weeks</td>
<td valign="top" align="left">293</td>
<td valign="top" align="left">Placebo: 74</td>
<td valign="top" align="left">Survodutide: 219</td>
</tr>
<tr>
<td valign="top" align="left">Zhao2023</td>
<td valign="top" align="left">NCT05024032</td>
<td valign="top" align="left">52 weeks</td>
<td valign="top" align="left">210</td>
<td valign="top" align="left">Placebo:69</td>
<td valign="top" align="left">Tirzepatide: 141</td>
</tr>
<tr>
<td valign="top" align="left">Yazawa2023</td>
<td valign="top" align="left">NCT04384081</td>
<td valign="top" align="left">16&#x2009;weeks</td>
<td valign="top" align="left">36</td>
<td valign="top" align="left">Placebo:9</td>
<td valign="top" align="left">Survodutide:27</td>
</tr>
<tr>
<td valign="top" align="left">Ji2023</td>
<td valign="top" align="left">NCT04904913</td>
<td valign="top" align="left">24 weeks</td>
<td valign="top" align="left">248</td>
<td valign="top" align="left">Placebo:62</td>
<td valign="top" align="left">Mazdutide:186</td>
</tr>
<tr>
<td valign="top" align="left">Jastreboff2022</td>
<td valign="top" align="left">NCT04184622</td>
<td valign="top" align="left">72 weeks</td>
<td valign="top" align="left">2539</td>
<td valign="top" align="left">Placebo:643</td>
<td valign="top" align="left">Tirzepatide: 1896</td>
</tr>
<tr>
<td valign="top" align="left">V&#xe9;niant2024</td>
<td valign="top" align="left">NCT04478708</td>
<td valign="top" align="left">30 weeks</td>
<td valign="top" align="left">26</td>
<td valign="top" align="left">Placebo:6</td>
<td valign="top" align="left">AMG133:20</td>
</tr>
<tr>
<td valign="top" align="left">Roux2024</td>
<td valign="top" align="left">NCT04667377</td>
<td valign="top" align="left">46 weeks</td>
<td valign="top" align="left">384</td>
<td valign="top" align="left">Placebo:77</td>
<td valign="top" align="left">Survodutide:307</td>
</tr>
<tr>
<td valign="top" align="left">Ji2022*</td>
<td valign="top" align="left">NCT04440345</td>
<td valign="top" align="left">16 weeks</td>
<td valign="top" align="left">24</td>
<td valign="top" align="left">Placebo:8</td>
<td valign="top" align="left">Mazdutide: 16</td>
</tr>
<tr>
<td valign="top" align="left">Ji2021*</td>
<td valign="top" align="left">NCT04440345</td>
<td valign="top" align="left">12 weeks</td>
<td valign="top" align="left">36</td>
<td valign="top" align="left">Placebo:12</td>
<td valign="top" align="left">Mazdutide:24</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*: Different dose groups.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Therefore, the network meta-analysis focused on six multi-receptor drugs: one triple GIPR/GCGR/GLP-1R agonist (Retatrutide), one dual GIPR/GLP-1R agonists (Tirzepatide), and three GCGR/GLP-1R agonists (Survodutide, Mazdutide, and Efinopegdutide) and one GLP-1R agonist/GIPR antagonist, bispecific molecule (AMG 133 [maridebart cafraglutide]) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The network diagrams of all eligible comparisons for the primary outcomes of efficacy and safety. <bold>(A)</bold> Body weight (kg); <bold>(B)</bold> The proportion of participants achieving a weight loss of more than 5% (%); <bold>(C)</bold> HbA1c (%); <bold>(D)</bold> FPG (mmol/L); <bold>(E)</bold> Systolic blood pressure (mmHg); <bold>(F)</bold> Diastolic blood pressure (mmHg); <bold>(G)</bold> Adverse effect; <bold>(H)</bold> Serious adverse effect.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1513641-g002.tif"/>
</fig>
<sec id="s3_1">
<label>3.1</label>
<title>Body weight management</title>
<p>To provide a comprehensive overview of weight management outcomes, we included 24 RCTs and analyzed five key indicators: weight loss, BMI, waist circumference, weight reduction in percentage and the proportion of participants achieving a weight loss of more than 5%. Compared to placebo, Tirzepatide demonstrated superior efficacy in reducing body weight (MD: -12.78&#xa0;kg, 95% CI: -16.10 to -9.46, P-score: 0.89), followed by Retatrutide (MD: -11.91&#xa0;kg, 95% CI: -19.00 to -4.82, P-score: 0.80), Survodutide (MD: -8.54&#xa0;kg, 95% CI: -13.52 to -3.56, P-score: 0.59), and Efinopegdutide (MD: -8.05&#xa0;kg, 95% CI: -15.08 to -1.02, P-score: 0.56). All of these treatments showed significant weight loss effects (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). Regarding BMI, Tirzepatide demonstrated a remarkable improvement effect (MD: -3.68 kg/m<sup>2</sup>, 95% CI: -6.77 to -0.58, P-score: 0.61) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S3.10</bold>
</xref>). However, no statistically significant difference was observed in the percentage of weight loss compared to placebo (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S3.11</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Network meta-analysis results for the primary outcomes of efficacy and safety. <bold>(A)</bold> Body weight (kg); <bold>(B)</bold> The proportion of participants achieving a weight loss of more than 5% (%); <bold>(C)</bold> HbA<sub>1c</sub> (%); <bold>(D)</bold> FPG (mmol/L); <bold>(E)</bold> Systolic blood pressure (mmHg); <bold>(F)</bold> Diastolic blood pressure (mmHg); <bold>(G)</bold> Adverse effect; <bold>(H)</bold> Serious adverse effect.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1513641-g003.tif"/>
</fig>
<p>Similarly, the reduction in waist circumference followed a trend consistent with the weight loss results. Tirzepatide showed the greatest reduction (MD: -10.86&#xa0;cm, 95% CI: -13.24 to -8.48, P-score: 0.92), followed by Retatrutide (MD: -9.01&#xa0;cm, 95% CI: -13.60 to -4.42, P-score: 0.74) and Survodutide (MD: -7.08&#xa0;cm, 95% CI: -10.12 to -4.05, P-score: 0.57) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S3.2</bold>
</xref>).Finally, we compared the proportion of participants achieving a weight loss of more than 5%. Tirzepatide was associated with the highest proportion (OR: 22.04, 95% CI: 12.99 to 37.38, P-score: 0.80), closely followed by Retatrutide (OR: 21.29, 95% CI: 5.02 to 90.25, P-score: 0.74), Mazdutide (OR: 16.52, 95% CI: 5.01 to 54.49, P-score: 0.65), and Survodutide (OR: 11.04, 95% CI: 3.69 to 33.08, P-score: 0.47) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Glycemic regulation</title>
<p>For glycemic control outcomes, the analysis was focused on patients with diabetes. HbA<sub>1c</sub> levels, reported as percentages, were assessed in 11 RCTs involving 5 distinct agents. FPG, measured in mmol/L, was evaluated in 10 RCTs across four agents. The network meta-analysis indicated that Mazdutide (MD: -1.89%, 95% CI: -2.43 to -1.35, P-score: 0.88) and Tirzepatide (MD: -1.87%, 95% CI: -2.15 to -1.59, P-score: 0.87) demonstrated nearly identical efficacy in significantly reducing HbA<sub>1c</sub> levels (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>). Retatrutide (MD: -1.27%, 95% CI: -2.13 to -0.41, P-score: 0.57) showed greater efficacy compared to Survodutide (MD: -1.08%, 95% CI: -1.51 to -0.65, P-score: 0.47) in lowering HbA<sub>1c</sub>.</p>
<p>The results for FPG revealed notable differences. Tirzepatide (MD: -2.45 mmol/L, 95% CI: -3.13 to -1.77, P-score: 0.87) achieved the most significant reduction in FPG, followed by Retatrutide (MD: -2.10 mmol/L, 95% CI: -3.95 to -0.25, P-score: 0.73), which demonstrated greater efficacy than Mazdutide (MD: -1.69 mmol/L, 95% CI: -2.86 to -0.53, P-score: 0.61) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3D</bold>
</xref>). Additionally, Efinopegdutide had a neutral impact on both HbA<sub>1c</sub> and FPG levels (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3C, D</bold>
</xref>).</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Blood pressure control</title>
<p>Given the limitations of available RCTs, our analysis of blood pressure control included data from 15 studies involving 5 multi-receptor drugs. The network meta-analysis showed that, compared to the placebo, both Tirzepatide (MD: -6.69 mmHg, 95% CI: -7.62 to -5.75, P-score: 0.84) and Mazdutide (MD: -6.45 mmHg, 95% CI: -8.61 to -4.29, P-score: 0.77) exhibited notable and comparable reductions in systolic blood pressure (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3E</bold>
</xref>). Survodutide (MD: -5.60 mmHg, 95% CI: -7.95 to -3.26, P-score: 0.60) also demonstrated a significant reduction, surpassing Retatrutide (MD: -4.99 mmHg, 95% CI: -7.41 to -2.56, P-score: 0.53), while AMG133 had a non-significant effect compared to placebo.</p>
<p>The effects on diastolic blood pressure were similar to systolic blood pressure. Tirzepatide (MD: -3.73&#xa0;mm Hg, 95% CI: -4.75 to -2.71, P-score: 0.92) achieved the most substantial reduction, followed by Mazdutide (MD: -2.77&#xa0;mm Hg, 95% CI: -4.62 to -0.91, P-score: 0.70) and Survodutide (MD: -2.28&#xa0;mm Hg, 95% CI: -4.33 to -0.24, P-score: 0.53) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3F</bold>
</xref>).</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Adverse events</title>
<p>The network meta-analysis revealed that Tirzepatide (OR: 1.50, 95% CI: 1.16 to 1.94, P-score: 0.80) had an unfavorable safety profile&#xa0;compared to placebo, with significant increase in the incidence of adverse events (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3G</bold>
</xref>). Retatrutide ranked second (OR: 2.31, 95% CI: 1.13 to 4.73, P-score: 0.59). Besides, other agents significantly increased the risk of adverse events, particularly AMG133 (OR: 29.29, 95% CI 1.09 to 788.79, P-score: 0.08), which showed the highest risk. Survodutide (OR: 4.81, 95% CI: 2.79 to 8.30, P-score: 0.21), Mazdutide (OR: 3.17, 95% CI 1.74 to 5.76, P-score: 0.43), and Efinopegdutide (OR: 3.40, 95% CI: 1.78 to 6.47, P-score: 0.39) also displayed similar adverse event risk profiles.&#xa0;Serious adverse events, as defined by included studies, encompass events that are life-threatening, result in death, require hospitalization or prolong an existing hospitalization, cause persistent disability or incapacity, or involve congenital anomalies or birth defects. The network meta-analysis results indicated that&#xa0;these drugs did not show a notable difference in the incidence of serious adverse events compared to placebo (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3H</bold>
</xref>). Detailed information on serious adverse events is provided in Appendix 13.</p>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Subgroup analysis</title>
<sec id="s3_5_1">
<label>3.5.1</label>
<title>Subgroup analyses of patients with diabetes and without diabetes</title>
<p>We conducted a subgroup analysis focusing on weight changes and blood pressure alterations in populations with overweight or obesity, with and without type 2 diabetes. The analysis included both weight loss and changes in systolic and diastolic blood pressure.</p>
<p>Among patients with diabetes, compared to placebo, Tirzepatide (MD: -8.77&#xa0;kg, 95% CI: -11.29 to -6.25, P-score: 0.84) and Survodutide (MD: -7.91&#xa0;kg, 95% CI: -11.80 to -4.02, P-score: 0.73) demonstrated superior weight reduction compared to Efinopegdutide (MD: -6.56&#xa0;kg, 95% CI: -12.09 to -1.03, P-score: 0.60) and Retatrutide (MD: -6.18&#xa0;kg, 95% CI: -11.88 to -0.48, P-score: 0.56) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S8.1</bold>
</xref>). Similarly, a significantly higher proportion of patients achieved more than 5% weight loss with Tirzepatide (OR: 14.57, 95% CI: 9.66 to 21.98, P-score: 0.83) and Survodutide (OR: 13.33, 95% CI: 4.18 to 42.48, P-score: 0.74) compared to Retatrutide (OR: 10.14, 95% CI: 4.12 to 24.93, P-score: 0.61) and Efinopegdutide (OR: 7.38, 95% CI: 2.62 to 20.78, P-score: 0.46) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S8.3</bold>
</xref>). Among patients with type 2 diabetes, no statistically significant difference was observed in the percentage of weight loss compared to placebo (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S8.9</bold>
</xref>). However, in patients without diabetes, Tirzepatide (MD: -16.83%, 95% CI: -20.94 to -12.73, P-score: 0.89) demonstrated the greatest weight reduction, followed by Retatrutide (MD: -15.95%, 95% CI: -23.06 to -8.84, P-score: 0.82), which also exhibited a significant weight loss effect (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S8.10</bold>
</xref>).</p>
<p>In patients with overweight or obesity, without type 2 diabetes, Tirzepatide (MD: -17.75&#xa0;kg, 95% CI: -20.88 to -14.61, P-score: 0.90) and Retatrutide (MD: -17.69&#xa0;kg, 95% CI: -24.11 to -11.27, P-score: 0.89) were associated with greater weight reduction compared to Efinopegdutide (MD: -9.56&#xa0;kg, 95% CI: -15.87 to -3.25, P-score: 0.46) and Survodutide (MD: -9.14&#xa0;kg, 95% CI: -13.66 to -4.62, P-score: 0.44) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S8.2</bold>
</xref>). For the proportion of patients achieving at least a 5% reduction in body weight, Mazdutide (OR: 54.99, 95% CI: 5.27 to 573.24, P-score: 0.83) showed the most substantial effect, followed by Tirzepatide (OR: 27.48, 95% CI: 9.62 to 78.51, P-score: 0.71) and Retatrutide (OR: 21.79, 95% CI: 2.57 to 176.18, P-score: 0.62) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S8.4</bold>
</xref>).</p>
<p>Among patients with overweight or obesity and with type 2 diabetes, various treatments showed similar effects in reducing systolic blood pressure. Survodutide (MD: -5.81 mmHg, 95% CI: -10.27 to -1.35, P-score: 0.66), Tirzepatide (MD: -5.80 mmHg, 95% CI: -8.53 to -3.06, P-score: 0.67), and Mazdutide (MD: -5.79 mmHg, 95% CI: -10.38 to -1.20, P-score: 0.66) exhibited comparable outcomes (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S8.5</bold>
</xref>). Mazdutide (MD: -2.68 mmHg, 95% CI: -4.95 to -0.41, P-score: 0.72) showed the most pronounced reductions in diastolic blood pressure, followed by Tirzepatide (MD: -2.45 mmHg, 95% CI: -3.61 to -1.28, P-score: 0.67) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S8.6</bold>
</xref>).</p>
<p>In patients with overweight or obesity, without type 2 diabetes, Tirzepatide (MD: -6.99 mmHg, 95% CI: -8.38 to -5.61, P-score: 0.82) was still the most effective agent for lowering systolic blood pressure, followed closely by Mazdutide (MD: -6.88 mmHg, 95% CI: -9.87 to -3.89, P-score: 0.78). Survodutide (MD: -5.43 mmHg, 95% CI: -9.00 to -1.86, P-score: 0.58) and Retatrutide (MD: -5.19 mmHg, 95% CI: -8.48 to -1.90, P-score: 0.55) were the next most effective agents (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S8.7</bold>
</xref>). In terms of diastolic blood pressure reduction, Tirzepatide (MD: -4.32 mmHg, 95% CI: -5.56 to -3.08, P-score: 0.94) was significantly more effective than Mazdutide (MD: -2.81 mmHg, 95% CI: -5.17 to -0.46, P-score: 0.68) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S8.8</bold>
</xref>).</p>
</sec>
<sec id="s3_5_2">
<label>3.5.2</label>
<title>Subgroup analyses of each multi-receptor drug with multiple doses</title>
<p>We conducted subgroup analyses to evaluate the efficacy of six drugs at various doses. Different multi-receptor drugs demonstrated varying degrees of superiority over placebo across a range of treatment outcomes. Retatrutide, administered at 12 mg and 8 mg (both fast and slow formulations), exhibited the greatest weight loss, outperforming Tirzepatide (15 mg). Survodutide (3.6 mg, 4.8 mg, 6.0 mg) at lower doses also showed comparable weight loss to Tirzepatide (15 mg) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S11.3</bold>
</xref>). For BMI outcomes, Retatrutide (12 mg, 8 mg fast, 8 mg slow, 4 mg fast) and Survodutide (6.0 mg, 4.8 mg, 3.6&#xa0;mg) were the most effective, followed by the highest dose of Tirzepatide (15 mg) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S11.10</bold>
</xref>). In terms of waist circumference, Retatrutide at 8 mg (both fast and slow formulations) and 12 mg produced the most significant reduction, followed by Tirzepatide (15 mg) and Survodutide (1.8 mg biw) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S11.5</bold>
</xref>). Regarding glycemic control, Tirzepatide (15 mg, 10 mg) was most effective in reducing HbA<sub>1c</sub> levels (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S11.1</bold>
</xref>). For FPG, Retatrutide (1.5 mg, 8 mg slow) and Mazdutide (6 mg) achieved the most notable reductions (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S11.2</bold>
</xref>). AMG133 exhibited the greatest reduction in blood pressure effects at the 280 mg dose. Retatrutide (8 mg) and Mazdutide (6 mg) also significantly reduced systolic blood pressure (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S11.6</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S11.7</bold>
</xref>).</p>
<p>Significant increase in adverse events was observed with Tirzepatide at most doses (5 mg, 10 mg, 15mg). Retatrutide at the 4 mg (slow) dose demonstrated a favorable safety profile, whereas Survodutide at lower doses (0.3 mg, 0.9 mg, 1.2 mg, 1.8 mg, 2.7 mg) was associated with a higher incidence of adverse reactions. Most multi-receptor drugs did not significantly increase the risk of serious adverse events compared to placebo (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S11.8</bold>
</xref> and <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S11.9</bold>
</xref>).</p>
</sec>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>In this network meta-analysis, we comprehensively evaluated the efficacy and safety of multi-receptor drugs, focusing on six agents: one triple GIPR/GCGR/GLP-1R agonist (Retatrutide), one dual GIPR/GLP-1R agonist (Tirzepatide), and three GCGR/GLP-1R agonists (Survodutide, Mazdutide, and Efinopegdutide) and one GLP-1R agonist/GIPR antagonist, bispecific molecule (AMG 133 [maridebart cafraglutide]). A total of 24 eligible RCTs and 9165 patients were included, assessing outcomes such as weight reduction, glycemic control, blood pressure changes, and safety profiles. Subgroup analyses were performed to explore the efficacy across different dosage regimens. Furthermore, the CINeMA framework was used to assess confidence in the network meta-analysis results.</p>
<p>Overall, all drugs demonstrated substantial reductions in weight (exceeding 5&#xa0;kg) and HbA<sub>1c</sub> levels (greater than 1%), indicating promising potential for clinical application. Among the multi-receptor drugs, Tirzepatide and Retatrutide demonstrated the most significant weight loss. Subgroup analyses revealed that Survodutide also produced substantial weight loss, second only to Tirzepatide among patients with type 2 diabetes.</p>
<p>For glycemic control, Mazdutide and Tirzepatide were the most effective in lowering HbA<sub>1c</sub>, displaying nearly equivalent efficacy. In contrast, Efinopegdutide had a minimal impact on glycemic levels. Regarding blood pressure, Tirzepatide and Mazdutide produced the most favorable outcomes. However, AMG133 demonstrated variable dosing effects on blood pressure, with different doses leading to distinct changes in both systolic and diastolic pressure, highlighting the need for further investigation. In terms of safety, Tirzepatide had the most favorable profile, while other drugs showed a notable elevation in the risk of adverse reactions. However, none of the drugs increased the incidence of serious adverse events compared to placebo. Our study showed the overall efficacy of multi-receptor drugs in reducing HbA<sub>1c</sub>, FPG, managing weight, and controlling blood pressure.</p>
<p>Subgroup analyses revealed that weight loss and blood pressure reductions were more pronounced in non-diabetic populations than in patients with type 2 diabetes. This discrepancy could result from differences in metabolic status and insulin resistance in diabetic patients. Non-diabetic individuals typically exhibit less insulin resistance or hyperglycemia, allowing them to derive more direct benefits from the blood pressure improvements associated with weight loss through multi-receptor drugs (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B22">22</xref>). The close relationship between weight loss and blood pressure reduction suggests that greater weight loss often leads to more significant blood pressure improvements (<xref ref-type="bibr" rid="B23">23</xref>). Additionally, dose-response subgroup analyses showed that Tirzepatide exhibits a dose-dependent effect on both weight and HbA<sub>1c</sub> reductions, while Efinopegdutide also exhibited dose-dependent effects on weight management. In contrast, Retatrutide, Survodutide, and Mazdutide achieved significant clinical outcomes even at lower doses.</p>
<p>Despite these strengths, our study has several limitations. First, although our aim was to conduct direct comparisons between multi-receptor drugs, the limited availability of head-to-head trials among these drugs in existing RCTs precluded such analyses. Consequently, our network meta-analysis focuses on a comprehensive comparison between multi-receptor drugs and placebo, in accordance with the predefined inclusion criteria. Second, the number of RCTs for certain drugs was limited, which may affect confidence in some findings. Gender differences may also influence the safety and efficacy of multi-receptor drugs, as women tend to experience greater reductions in blood glucose and body weight (<xref ref-type="bibr" rid="B24">24</xref>). Moreover, racial differences may play a role in treatment outcomes. For instance, East Asian patients with type 2 diabetes typically have lower obesity rates and reduced insulin resistance compared to Western populations. However, the limited number of studies involving Asian populations precluded subgroup analyses based on gender and race (<xref ref-type="bibr" rid="B25">25</xref>)</p>
<p>Most meta-analyses focus on GLP-1R agonists, lacking detailed meta-analyses comparing between multi-receptor drugs (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B26">26</xref>&#x2013;<xref ref-type="bibr" rid="B29">29</xref>). Our study addresses this gap by conducting detailed analysis and subgroup analyses in adults with overweight or obesity, with or without type 2 diabetes, and across all available dosages of multi-receptor drugs. This analysis ranks the efficacy and safety of the drugs, providing valuable insights for future drug development and clinical decision-making.</p>
<p>The therapeutic potential of multi-receptor drugs extends beyond their established roles in glycemic control and weight management. Research is expanding their use into other therapeutic areas, including non-alcoholic steatohepatitis (NASH) and non-alcoholic fatty liver disease (NAFLD) (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>), in which these agents have been shown to reduce liver fat content. They have also been explored for treating conditions such as obstructive sleep apnea (<xref ref-type="bibr" rid="B32">32</xref>) and for providing cardiovascular benefits, including lowering blood pressure&#xa0;and reducing the risk of cardiovascular events (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>). Preliminary studies suggest that multi-receptor drugs might exhibit neuroprotective effects in conditions such as Alzheimer&#x2019;s disease, potentially reducing neuroinflammation and slowing disease progression (<xref ref-type="bibr" rid="B35">35</xref>). The demonstrated multifaceted efficacy of these agents, particularly in glycemic control, weight management, and cardiovascular protection, positions them as promising candidates for a broad range of clinical applications. Further investigation into their role in future treatment paradigms is warranted, as they may significantly enhance current medical approaches across a variety of conditions.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>Our network meta-analysis of 24 RCTs reveals that multi-receptor drugs significantly reduce body weight and achieve clinically meaningful reductions in blood pressure compared to placebo, across populations with overweight or obesity, both with and without type 2 diabetes. These agents also notably lower HbA<sub>1c</sub> and FPG in patients with type 2 diabetes. Multi-receptor drugs demonstrate superior efficacy in non-diabetic individuals, achieving greater reductions in both systolic and diastolic blood pressure and more pronounced weight loss compared to those with type 2 diabetes. While most agents exhibit generally favorable safety profiles, some drugs are potentially linked to an increased risk of adverse reactions. Overall, this analysis highlights the extensive therapeutic potential of multi-receptor drugs, especially in non-diabetic populations, offering promising benefits for obesity management, glycemic control, and blood pressure regulation.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors upon reasonable request.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>SL: Conceptualization, Data curation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. JH: Conceptualization, Data curation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. CZ: Investigation, Methodology, Writing &#x2013; review &amp; editing. HL: Software, Writing &#x2013; review &amp; editing. CH: Supervision, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We would like to thank the participants and investigators of all included trials for their contributions.</p>
</ack>
<sec id="s9" 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="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors&#xa0;and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fendo.2025.1513641/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fendo.2025.1513641/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.pdf" id="SM1" mimetype="application/pdf"/>
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