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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Endocrinol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Endocrinology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Endocrinol.</abbrev-journal-title>
</journal-title-group>
<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.2025.1646956</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Systematic Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>The efficacy and safety of danuglipron and orforglipron in patients with type 2 diabetes and obesity: a systematic review and meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Zhou</surname><given-names>Jingjing</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3100449/overview"/>
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<contrib contrib-type="author">
<name><surname>Wang</surname><given-names>Fang</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
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<contrib contrib-type="author">
<name><surname>Li</surname><given-names>Sen</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
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<aff id="aff1"><label>1</label><institution>Department of Epidemiology and Health Statistics, Shanxi University of Medicine</institution>, <city>Fenyang</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Endocrinology, Fenyang Hospital</institution>, <city>Fenyang</city>, <state>Shanxi</state>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Health Information, Shanxi University of Medicine</institution>, <city>Fenyang</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Jingjing Zhou, <email xlink:href="mailto:zhoujingjing_zjjz@163.com">zhoujingjing_zjjz@163.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-12-10">
<day>10</day>
<month>12</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1646956</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>11</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Zhou, Wang and Li.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Zhou, Wang and Li</copyright-holder>
<license>
<ali:license_ref start_date="2025-12-10">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Objective</title>
<p>This study assesses the efficacy and safety of the novel oral small molecule glucagon-like peptide-1 receptor agonists (GLP-1 RAs) danuglipron and orforglipron in the treatment of type 2 diabetes (T2DM) and obesity through systematic review and meta-analysis.</p>
</sec>
<sec>
<title>Methods</title>
<p>Electronic databases (PubMed, Web of Science, Cochrane Library and Embase) were systematically searched up to 20 May 2025 to include randomised controlled trials evaluating danuglipron/orforglipron in patients with T2DM and/or obesity. Changes in glycated haemoglobin (HbA1c), fasting plasma glucose (FPG), fasting plasma insulin (FPI), weight and body mass index (BMI) compared with baseline post-treatment were evaluated using random-/fixed-effects models, alongside safety outcomes.</p>
</sec>
<sec>
<title>Results</title>
<p>Eight studies with low bias risk involving 1,454 participants were analysed. Meta-analysis results demonstrated that danuglipron significantly decreased HbA1c (mean difference [MD]: &#x2212;0.90; 95% CI: &#x2212;1.06, &#x2212;0.74), FPG (MD: &#x2212;24.66; 95% CI: &#x2212;30.45, &#x2212;18.86) and weight (MD: &#x2212;2.17; 95% CI: &#x2212;3.10,&#xa0;&#x2212;1.23) and improved FPI (MD: 2.94; 95% CI: 1.50, 4.38). Orforglipron also showed significant positive effects on HbA1c (MD: &#x2212;1.02; 95% CI: &#x2212;1.18,&#xa0;&#x2212;0.86), FPG (MD: &#x2212;26.91; 95% CI: &#x2212;31.05, &#x2212;22.78), weight (MD: &#x2212;6.28; 95% CI: &#x2212;8.45, &#x2212;4.11) and BMI (MD: &#x2212;2.64; 95% CI: &#x2212;3.38, &#x2212;1.89). However, both danuglipron and orforglipron were associated with the occurrence of treatment-related adverse events and gastrointestinal adverse events (AEs).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The oral GLP-1 RAs danuglipron and orforglipron are capable of improving blood glucose levels and reducing weight; however, they also pose an increased risk of gastrointestinal AEs. Further longitudinal studies are warranted to gain a deeper understanding of their efficacy, safety and tolerability.</p>
</sec>
</abstract>
<kwd-group>
<kwd>efficacy</kwd>
<kwd>danuglipron</kwd>
<kwd>orforglipron</kwd>
<kwd>type 2 diabetes and obesity</kwd>
<kwd>meta-analysis</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declare financial support was received for the research and/or publication of this article. The study is funded by Science and Technology Innovation Project of Education Department of Shanxi Province (Project No. 2023L473) and Scientific project of Fenyang College of Shanxi Medical University (Project No. 2025A15).</funding-statement>
</funding-group>
<counts>
<fig-count count="8"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="35"/>
<page-count count="14"/>
<word-count count="5930"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Clinical Diabetes</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Diabetes (DM) is a global public health concern, and recent research indicates a substantial increase in the burden of the condition over the past decade, evolving into a growing epidemic. Specifically, 8.8% of adults are diagnosed with DM (<xref ref-type="bibr" rid="B1">1</xref>). If these trends persist, it is projected that by 2040, approximately 693 million individuals aged 18&#x2013;99, comprising 9.9% of the world&#x2019;s population, will have DM (<xref ref-type="bibr" rid="B1">1</xref>). The occurrence and progression of type 2 diabetes (T2DM) are closely linked to various modifiable risk factors (<xref ref-type="bibr" rid="B2">2</xref>). Among these factors, being overweight (body mass index [BMI] &#x2265; 25 kg/m<sup>2</sup>) and obesity (BMI &#x2265; 30 kg/m<sup>2</sup>) are the major influencers (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). Additionally, limited physical activity, sedentary behaviour and certain habits (including high-calorie intake and smoking) contribute to the rising prevalence of T2DM (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). In the clinical guidelines for managing T2DM without insulin use, recommended approaches include dietary adjustments and increased physical activity. If target blood glucose levels are not achieved, escalation to oral hypoglycaemic agents such as metformin or dipeptidyl peptidase-4 inhibitors is typically initiated (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) provide a new avenue for treating T2DM. These agents activate the glucagon-like peptide-1 receptor (GLP-1 R), stimulating insulin secretion in a glucose-dependent manner and inhibiting glucagon secretion, thereby lowering blood sugar (<xref ref-type="bibr" rid="B8">8</xref>). Currently, several GLP-1 RAs are approved for treating T2DM, including liraglutide and semaglutide, known for their excellent glucose-lowering effects while also reducing body weight and blood pressure. However, their administration via subcutaneous injections may impact patient compliance. In comparison, patients may prefer and be more likely to adhere to an oral medication regimen. Presently, semaglutide is the only oral GLP-1 RA approved by the US Food and Drug Administration for T2DM treatment. However, patients taking oral semaglutide must do so at least 30 minutes before the first meal, drink or other medications of the day, limiting water intake to approximately 120 mL and avoiding food or drink for at least 30 minutes post-dose to ensure optimal absorption and efficacy (<xref ref-type="bibr" rid="B9">9</xref>). These restrictive intake conditions may affect patient compliance, highlighting the importance of seeking simpler oral GLP-1 RAs as a key treatment goal.</p>
<p>Danuglipron and orforglipron are both small molecule oral formulations of GLP-1 RAs, currently under development for treating T2DM and obesity. The recommendations are twice-daily oral intake for danuglipron and once-daily dosing for orforglipron. Due to orforglipron&#x2019;s stronger impact on cyclic adenosine monophosphate (cAMP) signalling compared with beta (&#x3b2;)-cell recruitment, its lower risk of receptor desensitisation distinguishes it from other GLP-1 RAs (<xref ref-type="bibr" rid="B10">10</xref>). Recent clinical studies have explored the efficacy and safety of these two oral GLP-1 RAs, yet comprehensive evidence for their effectiveness and safety is lacking. Therefore, this study investigates the efficacy and safety of danuglipron and orforglipron in treating T2DM through meta-analysis, providing valuable insights for their clinical application.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Search strategy</title>
<p>Following the PRISMA 2020 statement (<xref ref-type="bibr" rid="B11">11</xref>), a systematic search was conducted across four electronic databases: PubMed, Web of Science, Cochrane Library and Embase. The search period extended from database inception to 20 May 2025. Key search terms included &#x2018;Danuglipron&#x2019;, &#x2018;Orforglipron&#x2019;, &#x2018;type 2 diabetes&#x2019;, &#x2018;diabetes&#x2019; and &#x2018;obesity&#x2019;. Additionally, relevant literature was obtained by reviewing the references of included studies.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Inclusion and exclusion criteria</title>
<p>The inclusion criteria were as follows: (1) randomised controlled trials (RCTs) published in peer-reviewed journals in both Chinese and English; (2) study participants with T2DM and/or obesity; (3) the intervention was the use of danuglipron or orforglipron; (4) inclusion of a control group receiving a placebo or blank control; (5) study outcomes included changes in glycated haemoglobin (HbA1c), fasting plasma glucose (FPG), fasting plasma insulin (FPI), weight and body mass index (BMI) compared with baseline; and (6) adverse events (AEs) included treatment-emergent adverse events (TEAEs) and gastrointestinal AEs. The exclusion criteria included (1) non-population studies; (2) study types such as conference articles, case reports and systematic reviews; (3) inadequate outcome information preventing data analysis; (4) duplicate publications; and (5) studies where complete articles could not be obtained.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Study selection and data extraction</title>
<p>The literature screening and data extraction process involved two researchers independently applying the inclusion and exclusion criteria. Initially, they conducted a preliminary screening based on reading the titles and abstracts of the literature, followed by a full-text review of studies that potentially met the inclusion criteria. In cases of disagreement between the two researchers, a third researcher&#x2019;s opinion was sought for discussion to reach a consensus. After completing the literature screening, the two researchers independently performed data extraction using predefined data extraction forms. The extracted information included details about the literature, baseline demographic characteristics of the study participants, intervention protocols for danuglipron and orforglipron, study duration and outcome events.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Quality assessment</title>
<p>The Cochrane Collaboration&#x2019;s risk assessment tool (<xref ref-type="bibr" rid="B12">12</xref>) was utilised to evaluate the quality of the literature. This method assesses aspects such as randomisation methods, allocation concealment, blinding, completeness of outcome data, selective reporting of study results and other sources of bias to ensure a comprehensive quality evaluation.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Analysis methods</title>
<p>Data analysis was performed using RevMan 5.3 (Cochrane, Northern Europe). Continuous outcomes were expressed as mean differences (MDs), whereas dichotomous outcomes were analysed using risk ratios (RRs). For studies with zero events (<xref ref-type="bibr" rid="B13">13</xref>), risk differences (RDs) were utilised for meta-analysis, with 95% confidence intervals (CIs) estimating the range of effect sizes. Heterogeneity was assessed using the <italic>I</italic>&#xb2; statistic and Cochran&#x2019;s <italic>Q</italic> test. If <italic>I</italic>&#xb2; &lt; 50% or <italic>P</italic> &gt; 0.1, studies were considered homogeneous, and a fixed-effects model was applied; if <italic>I</italic>&#xb2; &#x2265; 50% or <italic>P</italic> &#x2264; 0.1, significant heterogeneity was assumed, and a random-effects model was employed. When substantial heterogeneity was detected, sensitivity analyses were performed to explore its sources. Unless otherwise specified, a significance level of 0.05 was adopted for all statistical tests.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Basic characteristics and quality of included studies</title>
<p>Following systematic database searches, 302 studies were initially identified for screening. After excluding duplicates and irrelevant studies, 27 articles underwent full-text review. Ultimately, eight RCTs (<xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B21">21</xref>) met the inclusion criteria. The study selection process is detailed in <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flowchart of study selection.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1646956-g001.tif">
<alt-text content-type="machine-generated">Flowchart outlining the identification and screening process of studies via databases and registers. Initially, 302 records were identified, with 211 duplicates removed. From 91 screened records, 64 were excluded. Eligibility was assessed for 27 reports, excluding 19 due to unsuitable study design. Eight studies were included in the quantitative synthesis (meta-analysis).</alt-text>
</graphic></fig>
<p>The baseline characteristics of the included studies are summarised in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>. All eight trials were published between 2021 and 2024, with seven being multicentre studies. All trials employed a double-blind design. A total of 1,454 participants were enrolled, with ages ranging from 42.5 to 62.8 years, male proportions varying between 27.3% and 88.9% and baseline BMI values of 25.9&#x2013;38.7 kg/m&#xb2;. Five studies evaluated danuglipron at doses of 1.5&#x2013;200 mg (twice daily), and four trials investigated orforglipron at doses of 2&#x2013;45 mg (once daily).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Basic information of included studies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Study</th>
<th valign="middle" align="center">Study design</th>
<th valign="middle" align="center">Patients</th>
<th valign="middle" align="center">Intervention</th>
<th valign="middle" align="center">Sample</th>
<th valign="middle" align="center">Mean age</th>
<th valign="middle" align="center">male%</th>
<th valign="middle" align="center">Disease duration, years</th>
<th valign="middle" align="center">Weight, kg</th>
<th valign="middle" align="center">BMI, kg/m2</th>
<th valign="middle" align="center">Baseline HbA1C, %</th>
<th valign="middle" align="center">Baseline FPG, mg/dl</th>
<th valign="middle" align="center">Treatment duration</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Saxena,2021</td>
<td valign="middle" align="center">RCT, multicentre, double-blind</td>
<td valign="middle" align="center">type 2 diabetes, obesity</td>
<td valign="middle" align="center">Danuglipron, 10 mg bid</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">54.0 &#xb1; 6.22</td>
<td valign="middle" align="center">77.8</td>
<td valign="middle" align="center">11.7 &#xb1; 6.1</td>
<td valign="middle" align="center">99.6 &#xb1; 12.7</td>
<td valign="middle" align="center">33.9 &#xb1; 3.4</td>
<td valign="middle" align="center">8.2 &#xb1; 0.6</td>
<td valign="middle" align="center">158.3 &#xb1; 23.3</td>
<td valign="middle" align="center">28 days</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Danuglipron, 15 mg bid</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">56.1 &#xb1; 9.53</td>
<td valign="middle" align="center">33.3</td>
<td valign="middle" align="center">8.1 &#xb1; 4.2</td>
<td valign="middle" align="center">92.9 &#xb1; 22.5</td>
<td valign="middle" align="center">35.3 &#xb1; 5.1</td>
<td valign="middle" align="center">8.6 &#xb1; 0.6</td>
<td valign="middle" align="center">198.4 &#xb1; 33.1</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Danuglipron, 50 mg bid</td>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">60.2 &#xb1; 7.97</td>
<td valign="middle" align="center">50</td>
<td valign="middle" align="center">9.1 &#xb1; 5.1</td>
<td valign="middle" align="center">87.8 &#xb1; 13.8</td>
<td valign="middle" align="center">32.6 &#xb1; 3.6</td>
<td valign="middle" align="center">8.3 &#xb1; 0.9</td>
<td valign="middle" align="center">168.1 &#xb1; 34.9</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Danuglipron, 70 mg bid</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">58.3 &#xb1; 5.32</td>
<td valign="middle" align="center">44.4</td>
<td valign="middle" align="center">11.6 &#xb1; 4.6</td>
<td valign="middle" align="center">86.9 &#xb1; 18.6</td>
<td valign="middle" align="center">31.9 &#xb1; 4.3</td>
<td valign="middle" align="center">8.3 &#xb1; 0.6</td>
<td valign="middle" align="center">186.3 &#xb1; 32.0</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Danuglipron, 120 mg bid</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">55.8 &#xb1; 7.68</td>
<td valign="middle" align="center">77.8</td>
<td valign="middle" align="center">10.8 &#xb1; 4.7</td>
<td valign="middle" align="center">101.6 &#xb1; 17.4</td>
<td valign="middle" align="center">35.0 &#xb1; 4.7</td>
<td valign="middle" align="center">8.5 &#xb1; 1.0</td>
<td valign="middle" align="center">196.9 &#xb1; 26.1</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">placebo</td>
<td valign="middle" align="center">25</td>
<td valign="middle" align="center">57.6 &#xb1; 7.71</td>
<td valign="middle" align="center">48</td>
<td valign="middle" align="center">8.5 &#xb1; 6.8</td>
<td valign="middle" align="center">94.3 &#xb1; 17.7</td>
<td valign="middle" align="center">33.3 &#xb1; 4.5</td>
<td valign="middle" align="center">8.0 &#xb1; 0.8</td>
<td valign="middle" align="center">167.6 &#xb1; 32.5</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Ono,2023</td>
<td valign="middle" align="center">RCT, multicentre, double-blind</td>
<td valign="middle" align="center">type 2 diabetes, obesity</td>
<td valign="middle" align="center">Danuglipron, 40 mg bid</td>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">55.9 &#xb1; 10.0</td>
<td valign="middle" align="center">80</td>
<td valign="middle" align="center">2.9 &#xb1; 2.2</td>
<td valign="middle" align="center">73.3 &#xb1; 9.9</td>
<td valign="middle" align="center">28.6 &#xb1; 4.1</td>
<td valign="middle" align="center">8.2 &#xb1; 1.1</td>
<td valign="middle" align="center">173.3 &#xb1; 29.7</td>
<td valign="middle" align="center">56 days</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Danuglipron, 80 mg bid</td>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">58.0 &#xb1; 6.7</td>
<td valign="middle" align="center">88.9</td>
<td valign="middle" align="center">9.1 &#xb1; 5.8</td>
<td valign="middle" align="center">79&#x3002;7 &#xb1; 13.6</td>
<td valign="middle" align="center">28.2 &#xb1; 3.6</td>
<td valign="middle" align="center">8.6 &#xb1; 1.0</td>
<td valign="middle" align="center">175.7 &#xb1; 32.7</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Danuglipron, 120 mg bid</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">50.7 &#xb1; 7.5</td>
<td valign="middle" align="center">88.9</td>
<td valign="middle" align="center">5.7 &#xb1; 7.7</td>
<td valign="middle" align="center">79.6 &#xb1; 10.0</td>
<td valign="middle" align="center">28.6 &#xb1; 3.4</td>
<td valign="middle" align="center">8.4 &#xb1; 1.2</td>
<td valign="middle" align="center">163.7 &#xb1; 47.5</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">placebo</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">58.6 &#xb1; 8.8</td>
<td valign="middle" align="center">88.9</td>
<td valign="middle" align="center">5.5 &#xb1; 4.1</td>
<td valign="middle" align="center">81.5 &#xb1; 10.4</td>
<td valign="middle" align="center">25.9 &#xb1; 2.7</td>
<td valign="middle" align="center">8.3 &#xb1; 1.2</td>
<td valign="middle" align="center">182.9 &#xb1; 36.3</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Saxena,2023</td>
<td valign="middle" align="center">RCT, multicentre, double-blind</td>
<td valign="middle" align="center">type 2 diabetes, obesity</td>
<td valign="middle" align="center">Danuglipron, 2.5 mg bid</td>
<td valign="middle" align="center">68</td>
<td valign="middle" align="center">58.9 &#xb1; 9.30</td>
<td valign="middle" align="center">56</td>
<td valign="middle" align="center">8.8 &#xb1; 6.31</td>
<td valign="middle" align="center">90.9 &#xb1; 20.13</td>
<td valign="middle" align="center">32.5 &#xb1; 5.17</td>
<td valign="middle" align="center">8.10 &#xb1; 1.03</td>
<td valign="middle" align="center">169.3 &#xb1; 42.4</td>
<td valign="middle" align="center">16 weeks</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Danuglipron, 10 mg bid</td>
<td valign="middle" align="center">68</td>
<td valign="middle" align="center">58.1 &#xb1; 9.43</td>
<td valign="middle" align="center">51</td>
<td valign="middle" align="center">8.5 &#xb1; 6.85</td>
<td valign="middle" align="center">92.3 &#xb1; 16.44</td>
<td valign="middle" align="center">33.0 &#xb1; 5.34</td>
<td valign="middle" align="center">8.01 &#xb1; 0.91</td>
<td valign="middle" align="center">165.4 &#xb1; 39.08</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Danuglipron, 40 mg bid</td>
<td valign="middle" align="center">71</td>
<td valign="middle" align="center">59.6 &#xb1; 8.58</td>
<td valign="middle" align="center">48</td>
<td valign="middle" align="center">8.0 &#xb1; 5.82</td>
<td valign="middle" align="center">90.2 &#xb1; 18.74</td>
<td valign="middle" align="center">32.3 &#xb1; 5.25</td>
<td valign="middle" align="center">8.00 &#xb1; 0.89</td>
<td valign="middle" align="center">166.0 &#xb1; 39.33</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Danuglipron, 80 mg bid</td>
<td valign="middle" align="center">67</td>
<td valign="middle" align="center">58.4 &#xb1; 9.18</td>
<td valign="middle" align="center">52</td>
<td valign="middle" align="center">9.7 &#xb1; 6.2</td>
<td valign="middle" align="center">91.3 &#xb1; 16.64</td>
<td valign="middle" align="center">32.9 &#xb1; 5.06</td>
<td valign="middle" align="center">8.07 &#xb1; 0.95</td>
<td valign="middle" align="center">172.8 &#xb1; 45.47</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Danuglipron, 120 mg bid</td>
<td valign="middle" align="center">71</td>
<td valign="middle" align="center">58.8 &#xb1; 9.43</td>
<td valign="middle" align="center">48</td>
<td valign="middle" align="center">8.7 &#xb1; 7.89</td>
<td valign="middle" align="center">93.1 &#xb1; 17.95</td>
<td valign="middle" align="center">33.3 &#xb1; 5.70</td>
<td valign="middle" align="center">8.05 &#xb1; 0.86</td>
<td valign="middle" align="center">169.5 &#xb1; 40.65</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">placebo</td>
<td valign="middle" align="center">66</td>
<td valign="middle" align="center">57.9 &#xb1; 10.27</td>
<td valign="middle" align="center">50</td>
<td valign="middle" align="center">8.8 &#xb1; 6.90</td>
<td valign="middle" align="center">90.1 &#xb1; 17.54</td>
<td valign="middle" align="center">32.5 &#xb1; 5.08</td>
<td valign="middle" align="center">8.24 &#xb1; 0.90</td>
<td valign="middle" align="center">173.0 &#xb1; 43.74</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Saxena,2023</td>
<td valign="middle" align="center">RCT, multicentre, double-blind</td>
<td valign="middle" align="center">type 2 diabetes</td>
<td valign="middle" align="center">Danuglipron, 80 mg bid LS</td>
<td valign="middle" align="center">20</td>
<td valign="middle" align="center">59.5 &#xb1; 9.55</td>
<td valign="middle" align="center">50</td>
<td valign="middle" align="center">9.33 &#xb1; 5.16</td>
<td valign="middle" align="center">96.410 &#xb1; 20.43</td>
<td valign="middle" align="center">35.1 &#xb1; 5.96</td>
<td valign="middle" align="center">8.14 &#xb1; 1.025</td>
<td valign="middle" align="center">178.3 &#xb1; 38.01</td>
<td valign="middle" align="center">12 weeks</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Danuglipron, 80 mg bid HS</td>
<td valign="middle" align="center">22</td>
<td valign="middle" align="center">60.9 &#xb1; 8.69</td>
<td valign="middle" align="center">54.5</td>
<td valign="middle" align="center">10.38 &#xb1; 6.44</td>
<td valign="middle" align="center">91.111 &#xb1; 14.22</td>
<td valign="middle" align="center">32.8 &#xb1; 5.51</td>
<td valign="middle" align="center">8.25 &#xb1; 1.019</td>
<td valign="middle" align="center">177.5 &#xb1; 44.34</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Danuglipron, 120 mg bid LF</td>
<td valign="middle" align="center">22</td>
<td valign="middle" align="center">58.3 &#xb1; 7.11</td>
<td valign="middle" align="center">54.5</td>
<td valign="middle" align="center">9.15 &#xb1; 5.78</td>
<td valign="middle" align="center">101.880 &#xb1; 24.54</td>
<td valign="middle" align="center">35.1 &#xb1; 6.89</td>
<td valign="middle" align="center">8.05 &#xb1; 0.880</td>
<td valign="middle" align="center">159.8 &#xb1; 48.52</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Danuglipron, 120 mg bid HF</td>
<td valign="middle" align="center">22</td>
<td valign="middle" align="center">57.2 &#xb1; 11.80</td>
<td valign="middle" align="center">54.5</td>
<td valign="middle" align="center">10.20 &#xb1; 9.88</td>
<td valign="middle" align="center">95.152 &#xb1; 17.01</td>
<td valign="middle" align="center">33.9 &#xb1; 4.47</td>
<td valign="middle" align="center">8.56 &#xb1; 1.162</td>
<td valign="middle" align="center">182.9 &#xb1; 57.50</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Danuglipron, 200 mg bid HF</td>
<td valign="middle" align="center">21</td>
<td valign="middle" align="center">59.0 &#xb1; 9.31</td>
<td valign="middle" align="center">52.4</td>
<td valign="middle" align="center">7.87 &#xb1; 4.83</td>
<td valign="middle" align="center">86.365 &#xb1; 13.64</td>
<td valign="middle" align="center">31.5 &#xb1; 3.76</td>
<td valign="middle" align="center">8.24 &#xb1; 1.162</td>
<td valign="middle" align="center">167.7 &#xb1; 53.90</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">placebo</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">53.9 &#xb1; 9.10</td>
<td valign="middle" align="center">50</td>
<td valign="middle" align="center">8.15 &#xb1; 7.58</td>
<td valign="middle" align="center">101.017 &#xb1; 18.44</td>
<td valign="middle" align="center">35.5 &#xb1; 5.93</td>
<td valign="middle" align="center">7.83 &#xb1; 0.936</td>
<td valign="middle" align="center">162.6 &#xb1; 44.68</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">obesity without diabetes</td>
<td valign="middle" align="center">Danuglipron, 200 mg bid HF</td>
<td valign="middle" align="center">22</td>
<td valign="middle" align="center">48.5 &#xb1; 13.12</td>
<td valign="middle" align="center">27.3</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">103439 &#xb1; 12.72</td>
<td valign="middle" align="center">37.4 &#xb1; 4.55</td>
<td valign="middle" align="center">5.41 &#xb1; 0.413</td>
<td valign="middle" align="center">95.8 &#xb1; 8.22</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">placebo</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">49.5 &#xb1; 5.79</td>
<td valign="middle" align="center">33.3</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">103.775 &#xb1; 15.76</td>
<td valign="middle" align="center">36.7 &#xb1; 1.55</td>
<td valign="middle" align="center">5.77 &#xb1; 0.258</td>
<td valign="middle" align="center">104.5 &#xb1; 11.40</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Pratt,2023</td>
<td valign="middle" align="center">RCT, multicentre, double-blind</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Orforglipron, 9 mg qd</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">57.7 &#xb1; 6.4</td>
<td valign="middle" align="center">44.4</td>
<td valign="middle" align="center">13.48 &#xb1; 8.29</td>
<td valign="middle" align="center">85.61 &#xb1; 12.76</td>
<td valign="middle" align="center">30.14 &#xb1; 3.60</td>
<td valign="middle" align="center">8.02 &#xb1; 0.62</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">12 weeks</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Orforglipron, 15 mg qd</td>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">59.6 &#xb1; 4.6</td>
<td valign="middle" align="center">70</td>
<td valign="middle" align="center">15.02 &#xb1; 11.97</td>
<td valign="middle" align="center">88.02 &#xb1; 14.36</td>
<td valign="middle" align="center">30.39 &#xb1; 3.61</td>
<td valign="middle" align="center">7.84 &#xb1; 0.74</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Orforglipron, 21 mg qd</td>
<td valign="middle" align="center">14</td>
<td valign="middle" align="center">55.3 &#xb1; 8.0</td>
<td valign="middle" align="center">71.4</td>
<td valign="middle" align="center">9.48 &#xb1; 5.48</td>
<td valign="middle" align="center">92.09 &#xb1; 18.78</td>
<td valign="middle" align="center">32.60 &#xb1; 5.48</td>
<td valign="middle" align="center">8.36 &#xb1; 1.31</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Orforglipron, 27 mg qd</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">58.8 &#xb1; 4.6</td>
<td valign="middle" align="center">77.8</td>
<td valign="middle" align="center">7.60 &#xb1; 4.39</td>
<td valign="middle" align="center">92.80 &#xb1; 15.36</td>
<td valign="middle" align="center">30.62 &#xb1; 3.55</td>
<td valign="middle" align="center">7.82 &#xb1; 0.69</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Orforglipron, 45 mg qd</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">62.8 &#xb1; 4.4</td>
<td valign="middle" align="center">44.4</td>
<td valign="middle" align="center">10.38 &#xb1; 4.78</td>
<td valign="middle" align="center">81.49 &#xb1; 10.24</td>
<td valign="middle" align="center">29.82 &#xb1; 2.84</td>
<td valign="middle" align="center">7.93 &#xb1; 0.79</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">placebo</td>
<td valign="middle" align="center">17</td>
<td valign="middle" align="center">56.0 &#xb1; 6.0</td>
<td valign="middle" align="center">58.8</td>
<td valign="middle" align="center">8.63 &#xb1; 4.89</td>
<td valign="middle" align="center">90.29 &#xb1; 20.04</td>
<td valign="middle" align="center">31.31 &#xb1; 4.86</td>
<td valign="middle" align="center">8.09 &#xb1; 0.75</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Pratt,2023</td>
<td valign="middle" align="center">RCT, single centre, double-blind</td>
<td valign="middle" align="center">obesity without diabetes</td>
<td valign="middle" align="center">Orforglipron, 2 mg qd</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">42.5</td>
<td valign="middle" align="center">73</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">84</td>
<td valign="middle" align="center">28.5</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">84.85</td>
<td valign="middle" align="center">4 weeks</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Orforglipron, 6 mg qd</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">42.5</td>
<td valign="middle" align="center">73</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">84</td>
<td valign="middle" align="center">28.5</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">83.79</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Orforglipron, 16 mg qd</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">42.5</td>
<td valign="middle" align="center">73</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">84</td>
<td valign="middle" align="center">28.5</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">80.35</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Orforglipron, 24 mg qd</td>
<td valign="middle" align="center">18</td>
<td valign="middle" align="center">42.5</td>
<td valign="middle" align="center">73</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">84</td>
<td valign="middle" align="center">28.5</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">85</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">placebo</td>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">42.5</td>
<td valign="middle" align="center">73</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">84</td>
<td valign="middle" align="center">28.5</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">87.42</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Wharton,2023</td>
<td valign="middle" align="center">RCT, multicentre, double-blind</td>
<td valign="middle" align="center">obesity without diabetes</td>
<td valign="middle" align="center">Orforglipron, 12 mg qd</td>
<td valign="middle" align="center">50</td>
<td valign="middle" align="center">49.8 &#xb1; 10.5</td>
<td valign="middle" align="center">38</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">107.5 &#xb1; 25.3</td>
<td valign="middle" align="center">37.7 &#xb1; 7.7</td>
<td valign="middle" align="center">5.5 &#xb1; 0.4</td>
<td valign="middle" align="center">94.4 &#xb1; 9.8</td>
<td valign="middle" align="center">36 weeks</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Orforglipron, 24 mg qd</td>
<td valign="middle" align="center">53</td>
<td valign="middle" align="center">57.0 &#xb1; 9.1</td>
<td valign="middle" align="center">43</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">112.1 &#xb1; 30.2</td>
<td valign="middle" align="center">38.1 &#xb1; 7.7</td>
<td valign="middle" align="center">5.7 &#xb1; 0.3</td>
<td valign="middle" align="center">97.5 &#xb1; 12.0</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Orforglipron, 36 mg qd</td>
<td valign="middle" align="center">58</td>
<td valign="middle" align="center">55.9 &#xb1; 11.3</td>
<td valign="middle" align="center">38</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">108.3 &#xb1; 25.5</td>
<td valign="middle" align="center">38.0 &#xb1; 6.3</td>
<td valign="middle" align="center">5.7 &#xb1; 0.4</td>
<td valign="middle" align="center">96.9 &#xb1; 13.3</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Orforglipron, 45 mg qd</td>
<td valign="middle" align="center">61</td>
<td valign="middle" align="center">53.8 &#xb1; 11.9</td>
<td valign="middle" align="center">43</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">108.0 &#xb1; 24.4</td>
<td valign="middle" align="center">37.7 &#xb1; 6.6</td>
<td valign="middle" align="center">5.7 &#xb1; 0.4</td>
<td valign="middle" align="center">95.2 &#xb1; 9.7</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">placebo</td>
<td valign="middle" align="center">50</td>
<td valign="middle" align="center">54.0 &#xb1; 8.8</td>
<td valign="middle" align="center">42</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">107.6 &#xb1; 25.2</td>
<td valign="middle" align="center">38.7 &#xb1; 7.6</td>
<td valign="middle" align="center">5.6 &#xb1; 0.4</td>
<td valign="middle" align="center">97.2 &#xb1; 10.2</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Frias,2024</td>
<td valign="middle" align="center">RCT, multicentre, double-blind</td>
<td valign="middle" align="center">type 2 diabetes</td>
<td valign="middle" align="center">Orforglipron, 3 mg qd</td>
<td valign="middle" align="center">51</td>
<td valign="middle" align="center">59.0 &#xb1; 9.4</td>
<td valign="middle" align="center">51</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">99.3 &#xb1; 25.4</td>
<td valign="middle" align="center">35.3 &#xb1; 8.2</td>
<td valign="middle" align="center">8.0 &#xb1; 0.8</td>
<td valign="middle" align="center">164.0 &#xb1; 40.9</td>
<td valign="middle" align="center">26 weeks</td>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Orforglipron, 12 mg qd</td>
<td valign="middle" align="center">56</td>
<td valign="middle" align="center">57.4 &#xb1; 9.2</td>
<td valign="middle" align="center">64</td>
<td valign="middle" align="center">7.1</td>
<td valign="middle" align="center">99.3 &#xb1; 18.1</td>
<td valign="middle" align="center">34.8 &#xb1; 6.3</td>
<td valign="middle" align="center">8.2 &#xb1; 0.9</td>
<td valign="middle" align="center">172.1 &#xb1; 42.8</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Orforglipron, 24 mg qd</td>
<td valign="middle" align="center">47</td>
<td valign="middle" align="center">60.5 &#xb1; 9.1</td>
<td valign="middle" align="center">64</td>
<td valign="middle" align="center">5.9</td>
<td valign="middle" align="center">98.5 &#xb1; 22.9</td>
<td valign="middle" align="center">34.1 &#xb1; 7.7</td>
<td valign="middle" align="center">8.2 &#xb1; 0.9</td>
<td valign="middle" align="center">171.7 &#xb1; 44.4</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Orforglipron, 36 mg qd</td>
<td valign="middle" align="center">61</td>
<td valign="middle" align="center">59.7 &#xb1; 9.2</td>
<td valign="middle" align="center">59</td>
<td valign="middle" align="center">5.9</td>
<td valign="middle" align="center">98.9 &#xb1; 17.5</td>
<td valign="middle" align="center">34.4 &#xb1; 5.4</td>
<td valign="middle" align="center">8.0 &#xb1; 0.7</td>
<td valign="middle" align="center">157.9 &#xb1; 28.7</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Orforglipron, 45 mg qd</td>
<td valign="middle" align="center">63</td>
<td valign="middle" align="center">58.5 &#xb1; 9.4</td>
<td valign="middle" align="center">63</td>
<td valign="middle" align="center">6.8</td>
<td valign="middle" align="center">104.6 &#xb1; 25.1</td>
<td valign="middle" align="center">36.4 &#xb1; 6.9</td>
<td valign="middle" align="center">8.1 &#xb1; 0.9</td>
<td valign="middle" align="center">166.4 &#xb1; 35.0</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">Danuglipron, 1.5 mg bid</td>
<td valign="middle" align="center">50</td>
<td valign="middle" align="center">58.8 &#xb1; 10.2</td>
<td valign="middle" align="center">60</td>
<td valign="middle" align="center">7.9</td>
<td valign="middle" align="center">98.8 &#xb1; 22.1</td>
<td valign="middle" align="center">35.4 &#xb1; 8.0</td>
<td valign="middle" align="center">8.0 &#xb1; 0.7</td>
<td valign="middle" align="center">167.6 &#xb1; 38.0</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">placebo</td>
<td valign="middle" align="center">55</td>
<td valign="middle" align="center">58.3 &#xb1; 9.5</td>
<td valign="middle" align="center">51</td>
<td valign="middle" align="center">7.8</td>
<td valign="middle" align="center">102.0 &#xb1; 18.8</td>
<td valign="middle" align="center">35.8 &#xb1; 6.2</td>
<td valign="middle" align="center">8.1 &#xb1; 0.9</td>
<td valign="middle" align="center">172.0 &#xb1; 42.9</td>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NA: not applicable.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>According to the Cochrane Collaboration&#x2019;s risk of bias tool, all included RCTs demonstrated low overall and domain-specific risks of bias (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figures&#xa0;1</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>2</bold></xref>).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Glycated haemoglobin evaluation</title>
<p>A total of 15 datasets were available to evaluate changes in HbA1c from baseline following danuglipron treatment. Heterogeneity assessment indicated significant inter-study variability (<italic>I</italic>&#xb2; = 56%, <italic>P</italic> = 0.004), prompting the use of a random-effects model for pooled effect estimation. Compared with controls, danuglipron significantly reduced HbA1c from baseline (MD: &#x2212;0.90%; 95% CI: &#x2212;1.06, &#x2212;0.74). Regarding orforglipron, 14 datasets were analysed for HbA1c changes. Heterogeneity was also observed (<italic>I</italic>&#xb2; = 52%, <italic>P</italic> = 0.01), and the random-effects model demonstrated superior HbA1c reduction with orforglipron versus placebo (MD: &#x2212;1.02%; 95% CI: &#x2212;1.18, &#x2212;0.86) (<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>Forest plot of change of HbA1c (%) from baseline following danuglipron and orforglipron.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1646956-g002.tif">
<alt-text content-type="machine-generated">Forest plot comparing the experimental drugs Danuglipron and Orforglipron to a control group across multiple studies. Each horizontal line represents a study with mean differences and 95% confidence intervals. Subtotals show a mean difference favoring the experimental groups. The overall effect size is negative, indicating favor towards the experimental drugs over the control. Heterogeneity and statistical significance are noted, with results supporting the experimental drugs' efficacy.</alt-text>
</graphic></fig>
<p>Sensitivity analyses using sequential exclusion of individual studies were performed. For danuglipron, exclusion of one study (<xref ref-type="bibr" rid="B18">18</xref>) reduced heterogeneity to 34%, but the association with HbA1c reduction remained statistically significant (MD: &#x2212;0.93%; 95% CI:&#xa0;&#x2212;1.04, &#x2212;0.82). Similarly, excluding one study (<xref ref-type="bibr" rid="B21">21</xref>) in the orforglipron analysis lowered heterogeneity to 26%, with sustained significant HbA1c improvement (MD: &#x2212;1.42%; 95% CI:&#xa0;&#x2212;1.57, &#x2212;1.26).</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Fasting plasma glucose and fasting plasma insulin evaluation</title>
<p>Fifteen datasets reported changes in FPG from baseline following danuglipron treatment. Heterogeneity assessment revealed significant inter-study variation (<italic>I</italic>&#xb2; = 53%, <italic>P</italic> = 0.008), necessitating a random-effects model for pooled effect estimation. Meta-analysis demonstrated a significant reduction in FPG with danuglipron (MD: &#x2212;24.66 mg/dL; 95% CI: &#x2212;30.45, &#x2212;18.86). Regarding orforglipron, nine datasets were analysed for FPG outcomes. Extreme heterogeneity (<italic>I</italic>&#xb2; = 95%, <italic>P</italic> &lt; 0.00001) justified the use of a random-effects model, which revealed a statistically significant association between orforglipron and FPG reduction compared with placebo (MD: &#x2212;20.24 mg/dL; 95% CI: &#x2212;31.93, &#x2212;8.55) (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Forest plot of change of FPG (mg/dl) from baseline following danuglipron and orforglipron.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1646956-g003.tif">
<alt-text content-type="machine-generated">Forest plot comparing the mean differences between experimental and control groups for two drugs, Danuglipron and Orforglipron, across various studies. Each line represents a study, with the mean weight loss difference plotted and confidence intervals. Summary diamonds show overall effects of -24.66 for Danuglipron and -20.24 for Orforglipron, both indicating favorability toward the experimental group. The total effect indicates a mean difference of -23.11.</alt-text>
</graphic></fig>
<p>Sensitivity analyses involving sequential exclusion of individual studies were conducted. For danuglipron, removal of one study (<xref ref-type="bibr" rid="B18">18</xref>) eliminated heterogeneity (<italic>I</italic>&#xb2; = 0%), but the FPG-lowering effect remained significant (MD: &#x2212;26.91 mg/dL; 95% CI: &#x2212;31.05, &#x2212;22.78). In contrast, sensitivity analyses for orforglipron did not substantially reduce heterogeneity; however, the association between orforglipron and FPG reduction persisted, with statistical significance.</p>
<p>Three datasets reported changes in FPI from baseline following danuglipron treatment. Heterogeneity assessment indicated no significant inter-study variability (<italic>I</italic>&#xb2; = 0%, <italic>P</italic> = 0.45), and a fixed-effects model was applied for pooled effect estimation. Meta-analysis revealed a significant increase in FPI with danuglipron (MD: +2.94 &#x3bc;IU/mL; 95% CI: 1.50, 4.38). Regarding orforglipron, nine datasets were analysed to evaluate its effect on FPI. Heterogeneity analysis demonstrated homogeneity across studies (<italic>I</italic>&#xb2; = 0%, <italic>P</italic> = 0.97), justifying the use of a fixed-effects model. The meta-analysis found no statistically significant association between orforglipron and FPI changes compared with placebo (MD: &#x2212;0.32 &#x3bc;IU/mL; 95% CI: &#x2212;3.49, 2.85) (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Forest plot of change of FPI (&#x3bc;IU/mL) from baseline following danuglipron and orforglipron.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1646956-g004.tif">
<alt-text content-type="machine-generated">Forest plot comparing experimental and control groups for two treatments, Danuglipron and Orforglipron. Several studies are listed with their mean differences and confidence intervals. The plot shows treatment efficacy, favoring the experimental group, with a total mean difference of 2.38 [1.07, 3.69].</alt-text>
</graphic></fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Body weight and body mass index</title>
<p>Fifteen datasets reported changes in body weight from baseline following danuglipron treatment. Heterogeneity assessment revealed substantial inter-study variability (<italic>I</italic>&#xb2; = 83%, <italic>P</italic>&#xa0;&lt;&#xa0;0.00001), prompting the use of a random-effects model. Meta-analysis demonstrated a statistically significant reduction in body weight with danuglipron (MD: &#x2212;2.17 kg; 95% CI: &#x2212;3.10, &#x2212;1.23). Regarding orforglipron, 14 datasets were analysed to evaluate weight-related outcomes. Extreme heterogeneity (<italic>I</italic>&#xb2; = 91%, <italic>P</italic> &lt; 0.00001) justified the random-effects model, which showed a pronounced weight reduction with orforglipron compared with placebo (MD: &#x2212;6.28 kg; 95% CI: &#x2212;8.45, &#x2212;4.11) (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>). Furthermore, the analysis of BMI changes (MD: &#x2212;2.64 kg/m&#xb2;; 95% CI: &#x2212;3.38, &#x2212;1.89) (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref>) corroborated orforglipron&#x2019;s robust efficacy in weight management. Sensitivity analyses involving sequential exclusion of individual studies failed to identify significant sources of heterogeneity for either weight or BMI outcomes. Despite this, the associations between both danuglipron and orforglipron and improvements in weight and BMI remained statistically significant.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Forest plot of change of body weight from baseline following danuglipron and orforglipron.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1646956-g005.tif">
<alt-text content-type="machine-generated">Forest plot showing the mean differences in studies comparing Danuglipron and Orforglipron against a control group. Each study's mean, standard deviation, and weight are listed. The plot includes a diamond representing the overall effect for each subgroup and the total. Confidence intervals are shown, with the x-axis indicating a range from -20 to 20, favoring either the experimental or control group. Subtotals and tests for heterogeneity and overall effect are provided.</alt-text>
</graphic></fig>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Forest plot of change of BMI from baseline following orforglipron.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1646956-g006.tif">
<alt-text content-type="machine-generated">Forest plot showing mean differences between experimental and control groups for multiple studies on Orforglipron doses. Each study is represented by a green square with horizontal lines indicating the 95% confidence interval. The overall mean difference is negative, favoring the experimental group, with a total mean difference of -2.64 and high heterogeneity (I&#xb2; = 87%).</alt-text>
</graphic></fig>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Safety</title>
<p>Regarding the association between danuglipron/orforglipron and TEAEs, meta-analyses demonstrated a statistically significant increase in TEAE risk for both danuglipron (RR: 1.22; 95% CI: 1.10&#x2013;1.34; <italic>I</italic>&#xb2; = 0%) and orforglipron (RR: 1.26; 95% CI: 1.17&#x2013;1.35; <italic>I</italic>&#xb2; = 29%) (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7</bold></xref>). Additionally, both agents were significantly associated with gastrointestinal AEs: danuglipron (RD: 0.27; 95% CI: 0.18&#x2013;0.36; <italic>I</italic>&#xb2; = 71%) and orforglipron (RD: 0.47; 95% CI: 0.37&#x2013;0.57; <italic>I</italic>&#xb2; = 55%) (<xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8</bold></xref>). Subgroup analyses revealed elevated risks for specific gastrointestinal symptoms, including diarrhoea (danuglipron: RD: 0.06; 95% CI: 0.03&#x2013;0.09; orforglipron: RD: 0.10; 95% CI: 0.06&#x2013;0.14) (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;3</bold></xref>), dyspepsia (danuglipron: RD: 0.06; 95% CI: 0.04&#x2013;0.09; orforglipron: RD: 0.04; 95% CI: 0.01&#x2013;0.07) (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;4</bold></xref>), nausea (danuglipron: RD: 0.26; 95% CI: 0.26&#x2013;0.35; orforglipron: RD: 0.33; 95% CI: 0.26&#x2013;0.39) (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;5</bold></xref>), constipation (danuglipron: RD: 0.04; 95% CI: &#x2212;0.01&#x2013;0.09; orforglipron: RD: 0.15; 95% CI: 0.11&#x2013;0.19) (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;6</bold></xref>) and vomiting (danuglipron: RD: 0.17; 95% CI: 0.09&#x2013;0.25; orforglipron: RD: 0.25; 95% CI: 0.17&#x2013;0.32) (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;7</bold></xref>).</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Forest plot of any TEAE incidence risk following danuglipron and orforglipron.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1646956-g007.tif">
<alt-text content-type="machine-generated">Forest plot comparing the risk ratios of experimental and control groups for two drugs, Danuglipron and Orforglipron, across multiple studies. The left column lists study details, while the right side shows the risk ratios with confidence intervals. Each ratio is represented by a horizontal line and dot, indicating effect size. The combined subtotal effect for Danuglipron is 1.22 and for Orforglipron is 1.26, both favoring the experimental group. Overall effect is 1.24, also favoring the experimental group. A diamond shape indicates the pooled effect size for each drug.</alt-text>
</graphic></fig>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Forest plot of GI AE incidence risk following danuglipron and orforglipron.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1646956-g008.tif">
<alt-text content-type="machine-generated">Forest plot comparing the risk differences of two treatments, Danuglipron and Orforglipron, across multiple studies. Each study shows a dot and line representing the point estimate and confidence interval of the risk difference. Danuglipron has a weighted subtotal risk difference of 0.27 with a high heterogeneity of 71%, while Orforglipron has a subtotal of 0.47 with 55% heterogeneity. The overall effect for both treatments combined is 0.35, favoring the experimental group.</alt-text>
</graphic></fig>
<p>In addition, a GRADE assessment indicated high certainty of evidence for the main efficacy and safety outcomes (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S1</bold></xref>). Exploratory dose&#x2013;response analyses suggested a non-significant trend towards greater HbA1c reduction with increasing doses (<italic>P</italic> = 0.181) (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;8</bold></xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>In this meta-analysis of prospective studies, we systematically evaluated the effects of novel oral GLP-1 RAs, danuglipron and orforglipron, on glycaemic control and weight management in patients with T2DM and obesity compared with placebo, as well as comprehensively assessing their impacts on AEs, particularly gastrointestinal AEs. Our findings align with previous small-scale studies (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>), and this updated analysis provides robust evidence that not only adheres to biological plausibility but also expands clinical understanding through comprehensive quantitative synthesis, offering valuable insights for guiding the clinical use of these novel oral GLP-1 RAs.</p>
<p>In recent years, the GLP-1 R has emerged as a pivotal therapeutic target for T2DM. Although injectable GLP-1 RAs have demonstrated glycaemic benefits clinically, the development of oral formulations remains imperative to overcome limitations associated with injectable administration. This systematic review and meta-analysis synthesised evidence from eight rigorously conducted RCTs, indicating that both danuglipron and orforglipron achieve significant improvements in glycaemic parameters among patients with T2DM and obesity. The marked reductions in HbA1c (danuglipron: MD: &#x2212;0.90%; orforglipron: MD: &#x2212;1.02%) and FPG (danuglipron: MD: &#x2212;24.66 mg/dL; orforglipron: MD: &#x2212;26.91 mg/dL) are consistent with the established pharmacodynamic actions of GLP-1 RAs, which enhance glucose-dependent insulin secretion via cAMP signalling pathways and suppress &#x3b1;-cell glucagon release (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). According to recent meta-analytic evidence, 7 and 14 mg of semaglutide once daily reduced HbA1c by 1.06% and 1.1%, respectively, compared with placebo in patients with T2DM (<xref ref-type="bibr" rid="B26">26</xref>). Furthermore, the same doses of semaglutide demonstrated superior HbA1c reductions of 0.26% and 0.38%, respectively, versus other glucose-lowering agents (<xref ref-type="bibr" rid="B26">26</xref>). The divergent effects on FPI (danuglipron increased FPI [MD + 2.94 &#x3bc;IU/mL] whereas orforglipron exhibited neutral effects) likely reflect differences in receptor binding affinities or tissue-specific activation patterns. Additionally, danuglipron&#x2019;s FPI elevation may resemble early-phase insulinotropic effects observed with short-acting agents, raising concerns about its long-term implications for &#x3b2;-cell exhaustion.</p>
<p>Significant weight reduction was observed with both agents, particularly highlighting orforglipron&#x2019;s superior efficacy in reducing body weight (MD: &#x2212;6.28 kg) and BMI (MD: &#x2212;2.64 kg/m&#xb2;), underscoring their dual role in metabolic regulation. Previous studies reported that 7 mg of semaglutide induced a weight loss of 1.18 kg versus placebo and 1.47 kg compared with other glucose-lowering agents (<xref ref-type="bibr" rid="B26">26</xref>). However, the lack of FPI improvement with orforglipron warrants caution, as suppressed insulin levels in the context of weight loss may paradoxically exacerbate dyslipidaemia in susceptible individuals &#x2013; a phenomenon observed in certain lifestyle intervention trials. Clinicians should therefore balance the benefits of weight reduction against potential metabolic trade-offs, particularly in patients with comorbid cardiovascular disease (<xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>The safety profiles of both agents were dominated by gastrointestinal AEs, such as nausea and vomiting, consistent with the class effects of GLP-1 RAs. Mechanistically, these AEs arise from delayed gastric emptying and direct stimulation of GLP-1 Rs in the area postrema, a circumventricular organ mediating emesis. For danuglipron, gastrointestinal side effects may be target mediated, and the presence of a carboxylic acid moiety in its structure could contribute to these outcomes by influencing its pharmacokinetic properties, dosing regimen and direct gastrointestinal irritation (<xref ref-type="bibr" rid="B28">28</xref>). The incidence of danuglipron-related AEs exhibits dose dependency. Although Phase 1 trial data suggested no dose-dependent increase in gastrointestinal AEs (<xref ref-type="bibr" rid="B15">15</xref>), another Phase 1 trial observed the lowest AE rates at low doses (10&#x2013;15 mg), with 100% AE incidence at 120 mg, indicating a clear dose&#x2013;response relationship for gastrointestinal tolerability (<xref ref-type="bibr" rid="B14">14</xref>). Furthermore, danuglipron&#x2019;s Phase 2 study demonstrated escalating discontinuation rates and AE frequencies as the target dose increased from 80 mg twice daily to 200 mg twice daily (<xref ref-type="bibr" rid="B18">18</xref>). Regarding orforglipron, most AE risks appear linked to rapid dose escalation and were more pronounced in aggressive titration groups (<xref ref-type="bibr" rid="B21">21</xref>). However, its Phase 1b trial revealed no significant dose-dependent effects, potentially due to the limited sample size and short exposure duration (<xref ref-type="bibr" rid="B17">17</xref>). Emerging pharmacogenomic evidence suggests that polymorphisms in the GLP-1 R gene (<italic>GLP1R</italic>) may modulate AE susceptibility, explaining interpatient variability. For example, carriers of the rs6923761 G-allele exhibit attenuated gastrointestinal responses to GLP-1 RAs, a finding that merits integration into personalised treatment algorithms (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>). Future trials should evaluate whether intermittent dosing or adjunctive antiemetics can mitigate AE-related discontinuations without compromising therapeutic efficacy.</p>
<p>We observed a modest increase in FPI among participants treated with danuglipron in our pooled analysis. Several non-mutually exclusive mechanisms may explain this finding. First, GLP-1 R agonism augments glucose-dependent insulin secretion, and early improvements in &#x3b2;-cell responsiveness could manifest as higher fasting insulin levels, particularly in short-term trials (<xref ref-type="bibr" rid="B31">31</xref>). Second, changes in hepatic insulin clearance or transient compensatory hyperinsulinemia related to concurrent background therapies (e.g. use of insulin secretagogues or withdrawal/alteration of other agents) might increase measured fasting insulin independently of insulin sensitivity (<xref ref-type="bibr" rid="B32">32</xref>). Third, methodological factors &#x2013; including heterogeneity in assay methods, sampling timing, the relatively short duration of most included trials and limited sample sizes &#x2013; could have contributed to an apparent rise in FPI (<xref ref-type="bibr" rid="B33">33</xref>). Importantly, the clinical importance of this short-term FPI increase is uncertain &#x2013; an isolated rise in fasting insulin does not necessarily indicate progressive &#x3b2;-cell dysfunction and may reflect transient adaptations (<xref ref-type="bibr" rid="B34">34</xref>).</p>
<p>A contemporary and closely related meta-analysis by Karakasis et&#xa0;al. (<xref ref-type="bibr" rid="B35">35</xref>) examined randomised trials (n = 1,037) of oral small-molecule GLP-1 RAs (danuglipron and orforglipron) and reported broadly similar effects on glycaemia and body weight (HbA1c reduction = &#x2212;1.03%, FPG = &#x2212;28.5 mg/dL, weight = &#x2212;4.3 kg), as well as an increased incidence of gastrointestinal AEs. Notably, Karakasis et&#xa0;al. complemented their synthesis with a dose&#x2013;response meta-analysis using restricted cubic splines along with a GRADE assessment of evidence certainty, which provided useful insight into dose&#x2013;effect relationships and the strength of available evidence. The present analysis is consistent with their principal findings; importantly, however, our study extends the evidence base by including more recent trials and a larger pooled sample (n&#xa0;=&#xa0;1,454 in our review) and by reporting additional outcomes (e.g. fasting insulin and a more granular safety analysis). Although Karakasis et&#xa0;al. provided formal dose&#x2013;response curves and GRADE ratings, these analyses were not included in the present manuscript due to differences in available dose-level reporting across the newly added trials. Nevertheless, the concordance between the two independent meta-analyses strengthens confidence in the emerging clinical profile of these oral GLP-1 RAs. We acknowledge that incorporating formal GRADE and dose&#x2013;response meta-analyses into future revisions (or as supplementary analyses) would further increase the interpretability and clinical applicability of the results.</p>
<p>The findings suggest that oral small-molecule GLP-1 RAs achieve the class&#x2019;s expected metabolic benefits (HbA1c and weight reduction) while offering the practical advantage of oral dosing, which may improve uptake and adherence among patients unwilling or unable to use injectables. However, several factors limit immediate translation into routine care. Large, long-term outcome data &#x2013; including cardiovascular safety and durability of glycaemic/weight effects &#x2013; are lacking for these oral agents, and head-to-head comparisons with established injectable GLP-1 RAs are not yet available. Tolerability concerns (notably gastrointestinal AEs) and a modest short-term signal of increased fasting insulin also warrant cautious interpretation and monitoring. To define the optimal place of these agents in clinical pathways, future priorities should include independent Phase 3 trials, pragmatic real-world studies, direct comparative trials against injectable GLP-1 RAs, standardised reporting of concomitant glucose-lowering therapies and metabolic dynamic measures, and formal cost-effectiveness and adherence evaluations. Until such evidence accrues, clinicians should weigh the convenience of oral therapy against unresolved questions regarding long-term safety, comparative effectiveness and patient selection.</p>
<p>Several limitations affect the interpretability of these findings. First, as most included studies were early-phase clinical trials, the pooled sample size (n = 1,454) and short trial durations (&#x2264;36 weeks) preclude definitive conclusions regarding rare safety outcomes or the durability of metabolic benefits. Second, considerable heterogeneity was observed in weight and fasting glucose outcomes; because the included trials were generally small and underpowered for detailed subgroup analyses, the sources of this heterogeneity could not be fully resolved. Third, heterogeneity in background therapies across trials &#x2013; particularly variable use of SGLT2 inhibitors and metformin &#x2013; may have confounded the observed treatment effects, but insufficient and inconsistently reported data precluded further exploration of these confounders&#x2019; potential impacts. Finally, all included trials were industry sponsored, which may introduce reporting or publication bias. Future research should prioritise large, independently funded Phase 3 trials, incorporate real-world evidence to evaluate these agents in underrepresented populations (e.g. advanced chronic kidney disease) and conduct cost-effectiveness analyses to inform healthcare resource allocation.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>This study&#x2019;s findings suggest that the novel small-molecule GLP-1 RAs danuglipron and orforglipron represent effective and safe options for glycaemic management in patients with T2DM. Notably, both agents also demonstrate considerable benefits in weight control. While orforglipron and similar oral GLP-1RAs show promise, current evidence is insufficient to conclude that they are ready alternatives to established therapies. Large, long-duration RCTs with thorough safety monitoring and independent outcome adjudication are required to define the long-term efficacy, tolerability and risk&#x2013;benefit profile of oral small-molecule GLP-1RAs.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>. Further inquiries can be directed to the corresponding author.</p></sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>JZ: Methodology, Writing &#x2013; review &amp; editing, Formal analysis, Writing &#x2013; original draft, Conceptualization. FW: Formal analysis, Writing &#x2013; review &amp; editing, Data curation, Writing &#x2013; original draft, Investigation. SL: Investigation, Writing &#x2013; review &amp; editing, Data curation, Writing &#x2013; original draft, Formal Analysis.</p></sec>
<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>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fendo.2025.1646956/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fendo.2025.1646956/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table1.docx" id="ST1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/></sec>
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