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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2025.1737337</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>Metformin use in gestational diabetes mellitus and neonatal outcomes: a systematic review and meta-analysis on the risk of small for gestational age</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Wenwen</given-names></name>
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<uri xlink:href="https://loop.frontiersin.org/people/2958516"/>
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<contrib contrib-type="author">
<name><surname>Ren</surname> <given-names>Liwei</given-names></name>
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<name><surname>Du</surname> <given-names>Juan</given-names></name>
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<name><surname>Zhao</surname> <given-names>Wenqi</given-names></name>
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<name><surname>Song</surname> <given-names>Xueqing</given-names></name>
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<name><surname>Jiang</surname> <given-names>Shuo</given-names></name>
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<name><surname>Wang</surname> <given-names>Zhao</given-names></name>
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<name><surname>Wang</surname> <given-names>Wenjuan</given-names></name>
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<aff id="aff1"><label>1</label><institution>School of Clinical and Basic Medical Sciences, Shandong First Medical University &#x00026; Shandong Academy of Medical Sciences</institution>, <city>Jinan</city>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Pediatrics, Central Hospital Affiliated to Shandong First Medical University</institution>, <city>Jinan</city>, <country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>School of Laboratory Animal &#x00026; Shandong Laboratory Animal Center, Shandong First Medical University &#x00026; Shandong Academy of Medical Sciences</institution>, <city>Jinan</city>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>&#x0002A;</label>Correspondence: Wenjuan Wang, <email xlink:href="mailto:wangwe.njuan@163.com">wangwe.njuan@163.com</email>; Zhao Wang, <email xlink:href="mailto:wangzhao@sdfmu.edu.cn">wangzhao@sdfmu.edu.cn</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-15">
<day>15</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1737337</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>22</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2026 Zhang, Ren, Du, Sun, Zhao, Song, Jiang, Wang and Wang.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Zhang, Ren, Du, Sun, Zhao, Song, Jiang, Wang and Wang</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-15">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>Purpose</title>
<p>It remains unclear whether maternal metformin use in gestational diabetes mellitus (GDM) is associated with an increased risk of small-for-gestational-age (SGA) newborns.</p></sec>
<sec>
<title>Methods and results</title>
<p>A systematic literature search was conducted across PubMed, Embase, and the Cochrane Library up to September 1, 2024. Nineteen studies (<italic>n</italic> = 115,192 participants), comprising randomized controlled trials and cohort studies, were included. Two evaluators independently assessed eligibility and bias risk. Maternal use of metformin for GDM was not significantly associated with SGA incidence in newborns (OR = 1.10, 95% CI: 0.97&#x02013;1.24, <italic>p</italic> = 0.14). No notable differences were observed compared to insulin-treated (<italic>n</italic> = 27,622, OR = 1.25, 95% CI: 0.91&#x02013;1.73, <italic>p</italic> = 0.17) or placebo groups (<italic>n</italic> = 1,685, OR = 1.36, 95% CI: 0.80&#x02013;2.32, <italic>p</italic> = 0.26). However, two studies (<italic>n</italic> = 554) indicated a lower SGA incidence with metformin than with diet modification therapy (OR = 0.50, 95% CI: 0.29&#x02013;0.87, <italic>p</italic> = 0.01).</p></sec>
<sec>
<title>Conclusions</title>
<p>Maternal metformin use in the management of GDM doesn&#x00027;t increase SGA risk in offspring, suggesting its relative safety and effectiveness in this context. Further research is required to explore metformin&#x00027;s long-term effects of metformin on offspring of mothers with GDM.</p></sec>
<sec>
<title>Systematic Review Registration</title>
<p><ext-link ext-link-type="uri" xlink:href="https://www.crd.york.ac.uk/PROSPERO/view/CRD420251141984">https://www.crd.york.ac.uk/PROSPERO/view/CRD420251141984</ext-link>, identifier CRD420251141984.</p></sec></abstract>
<kwd-group>
<kwd>gestational diabetes mellitus (GDM)</kwd>
<kwd>insulin</kwd>
<kwd>meta-analysis</kwd>
<kwd>metformin</kwd>
<kwd>small for gestational age (SGA)</kwd>
</kwd-group>
<funding-group>
 <funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was supported by the Natural Science Foundation of Shandong Province [grant numbers ZR2024QH624], the Major Scientific and Technological Innovation Project (MSTIP) [grant numbers 2023CXGC010705] and Shandong Province Pig Industry Technology System [grant numbers SDAIT-08-17].</funding-statement>
</funding-group>
<counts>
<fig-count count="9"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="37"/>
<page-count count="11"/>
<word-count count="5238"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Obstetrics and Gynecology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Gestational diabetes mellitus (GDM), defined as glucose intolerance with onset or first recognition during pregnancy, is now recognized as one of the most prevalent pregnancy-related complications worldwide (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). GDM can increase the risk of perinatal complications and adversely affect long-term metabolic health in both mothers and their offspring. Metabolic diseases pose a serious threat to human health and have become a major global public health issue (<xref ref-type="bibr" rid="B3">3</xref>). Therefore, effective management of blood glucose levels in mothers with GDM is essential to prevent intergenerational transmission of metabolic diseases. There are a variety of clinical treatments for GDM, including dietary modifications, increased physical activities, oral hypoglycemic drugs, and other pharmacological therapies (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Among these, metformin is widely used due to its efficacy, safety, and low cost. As a first-line therapy, metformin has many advantages, including improvements in hemoglobin A1C (HbA1c), weight, and cardiovascular outcomes. Unless contraindicated, metformin is considered an initial pharmacological option for managing diabetes (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). With the rising prevalence of GDM, the use of metformin during pregnancy has become increasingly common. However, recent evidence suggests that metformin crosses the placenta through passive diffusion, potentially reaching fetal concentrations equal to or exceeding maternal levels, thereby leading to concerns about potential effects on fetal and placental growth (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). Animal studies have indicated that fetal accumulation of metformin is linked to growth restriction, as seen the emergence of SGA in the offspring of primates exposed to the drug within 30 days after conception (<xref ref-type="bibr" rid="B10">10</xref>). In human studies, the association between maternal metformin use and small-for-gestational-age (SGA) infants, defined as birth weight below the 10th percentile for gestational age, remains poorly characterized. Current evidence is conflicting, with some studies suggesting an increased risk of SGA (<xref ref-type="bibr" rid="B11">11</xref>), while others report no significant association (<xref ref-type="bibr" rid="B10">10</xref>). This inconsistency may stem from heterogeneity across study populations, diagnostic criteria, and treatment protocols. Furthermore, the mechanisms underlying potential effects of metformin on fetal growth require further elucidation. Given these uncertainties, it is necessary to systematically evaluate the evidence regarding the effects of metformin on fetal growth outcomes. Therefore, we conducted a meta-analysis to assess the association between maternal metformin use during pregnancy and SGA risk in offspring. The findings of this study will provide evidence-based recommendations to help optimize clinical decision-making in the management of GDM and reduce adverse neonatal outcomes.</p></sec>
<sec id="s2">
<title>Methods</title>
<sec>
<title>Literature searches, search strategies, and eligibility</title>
<p>A systematic literature search was performed using predefined search terms in PubMed (June 1997 to September 1, 2024), Embase (1974 to September 1, 2024), and the Cochrane Library (from inception to September 1, 2024). No filters were applied, language or location restrictions were applied.</p>
<p>In the included studies, the diagnosis of GDM was based on the diagnostic criteria of the respective local medical centers where each study was conducted. We did not exclude literature based on differences in GDM diagnostic criteria. Conference abstracts were eligible only if they provided sufficient data for evaluation, no abstracts met this criterion and thus were excluded.</p></sec>
<sec>
<title>Document screening and data extraction</title>
<p>Data extraction and quality assessment were conducted independently by two reviewers. Disagreements were resolved by consensus or by consulting a third reviewer. The search terms included: Metformin-related terms: (1) Metformin OR Dimethylbiguanidine OR Dimethylguanylguanidine OR Glucophage; (2) Hydrochloride OR Hydrochloride, Metformin OR Metformin HCl OR HCl, Metformin. Infant-related terms: Infant, Small for Gestational Age OR Infant, Low Birth Weight OR Infant, Premature OR SGA; (3) Birth-related terms: Birth Weight OR Infant, Newborn. An initial screening of titles and abstracts was conducted, followed by a comprehensive review of full texts. The results of each stage of the review process were summarized in the flowchart (<xref ref-type="fig" rid="F1">Figure 1</xref>). Additionally, details of the search strategy details were shown in <xref ref-type="fig" rid="F2">Figure 2</xref>.</p>
<fig position="float" id="F1">
<label>Figure 1</label>
<caption><p>Flow diagram of studies identified in the systematic review. This flowchart summarizes the process of evidence search and study selection for this meta-analysis, including the inclusion and exclusion criteria applied at each stage. The analysis focuses on the relationship between metformin use and small for gestational age (SGA) (defined as birth weight below the 10th percentile for gestational age).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-12-1737337-g0001.tif">
<alt-text content-type="machine-generated">Search manager interface showing a complex query for MeSH terms related to Metformin and conditions like small for gestational age in infants. The search results display 457 entries with a timestamp of 06:41:54. Options to save or share the search and highlight orphan lines are available.</alt-text>
</graphic>
</fig>
<fig position="float" id="F2">
<label>Figure 2</label>
<caption><p>Screenshot of the search interface displaying keywords and databases used (PubMed, Embase, Cochrane Library) in the systematic search for studies on metformin, GDM, and SGA.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-12-1737337-g0002.tif">
<alt-text content-type="machine-generated">Flowchart depicting a study selection process. Sources: PubMed (445), Embase (494), Cochrane Library (130), yielding 867 unique titles. Duplicates removed: 202. Exclusions: case reports (11), reviews (67), and more. Remaining 742 articles assessed for eligibility. Reasons for exclusion: low quality (14), flawed findings (115), uncorrelated (593), bias (1). Result: 19 studies included in qualitative synthesis.</alt-text>
</graphic>
</fig></sec>
<sec>
<title>Risk of bias assessment</title>
<p>Risk of bias assessments reporting overall quality of included studies are presented in <xref ref-type="fig" rid="F3">Figure 3</xref>. RCTs&#x00027; risk of bias was evaluated collaboratively using the Cochrane Collaboration tool, which assessed seven domains (selection, performance, detection, attrition, reporting, and other biases) for each study and rated as low, unclear, or high risk (<xref ref-type="fig" rid="F3">Figure 3</xref>). For each comparison, the level of certainty of the evidence ranged from low to high. The Newcastle-Ottawa Scale (NOS), which evaluates eight domains of bias, was applied to assess observational studies. The median Newcastle-Ottawa score for the 19 studies reviewed was 7, with quality scores ranging from 6 to 8 for cohort studies and consistently at 7 for case-control studies. Based on these evaluations, all studies were considered high quality (<xref ref-type="table" rid="T1">Table 1</xref>). The primary outcome measure was the unadjusted odds ratio (OR) for binary outcomes. Meta-analysis was conducted using Review Manager (RevMan) version 5.4. Funnel plots were generated to assess publication bias in datasets with more than nine trials comparing the metformin group to the unclassified population or the insulin group (<xref ref-type="fig" rid="F4">Figures 4</xref>, <xref ref-type="fig" rid="F5">5</xref>). Heterogeneity was quantified using the <italic>I</italic><sup>2</sup> statistic to identify variability due to non-random factors.</p>
<fig position="float" id="F3">
<label>Figure 3</label>
<caption><p>Risk of bias summary in Cochrane literature quality evaluation.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-12-1737337-g0003.tif">
<alt-text content-type="machine-generated">Bar chart showing risk of bias in different categories of research. Categories include random sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessment, incomplete outcome data, selective reporting, and other bias. Bars are colored to indicate low (green), unclear (yellow), and high risk of bias (red). Most categories show a predominance of green, with allocation concealment and blinding of outcome assessment having notable yellow and red regions, respectively.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>The bias of the observational studies.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>References</bold></th>
<th valign="top" align="center" colspan="4"><bold>Selection</bold></th>
<th valign="top" align="center"><bold>Comparability Control for important factor</bold></th>
<th valign="top" align="center" colspan="3"><bold>Exposure</bold></th>
<th valign="top" align="center"><bold>Scores</bold></th>
</tr>
</thead>
<tbody>
 <tr>
<td/>
<td valign="top" align="center"><bold>Adequate definition of cases</bold></td>
<td valign="top" align="center"><bold>Representativeness of the cases</bold></td>
<td valign="top" align="center"><bold>Selection of controls</bold></td>
<td valign="top" align="center"><bold>Definition of controls</bold></td>
<td/>
<td valign="top" align="center"><bold>Ascertainment of exposure</bold></td>
<td valign="top" align="center"><bold>Same method of ascertainment for cases and controls</bold></td>
<td valign="top" align="center"><bold>Nonresponse rate</bold></td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Brzozowska et al. (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;&#x02729;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Brand et al. (<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Tertti et al. (<xref ref-type="bibr" rid="B12">12</xref>)</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02729;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;&#x02729;</td>
<td valign="top" align="center">&#x02729;</td>
<td valign="top" align="center">&#x02729;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Balani et al. (<xref ref-type="bibr" rid="B13">13</xref>)</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02729;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;&#x02729;</td>
<td valign="top" align="center">&#x02729;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">McGrath et al. (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02729;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;&#x02729;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Fornes et al. (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;&#x02729;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Bowker et al. (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;&#x02729;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02729;</td>
<td valign="top" align="center">&#x02729;</td>
<td valign="top" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Lin et al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02729;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Yu et al. (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02605;&#x02605;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">&#x02729;</td>
<td valign="top" align="center">&#x02605;</td>
<td valign="top" align="center">8</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>The Newcastle-Ottawa Scale (NOS) was used to assess the bias of the observational studies. All of which included in this analysis were rated as having a low risk of bias. Studies with a score of 6 or more were classified as high quality and included. studies with &#x0003C; 6 points in the screening process were directly excluded, and the scores are no longer given in detail here, which corresponds to &#x0201C;not high quality cohort studies&#x0201D; in the flow chart.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="F4">
<label>Figure 4</label>
<caption><p>Funnel plot assessing publication bias for studies comparing metformin use and SGA incidence in the overall unclassified population.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-12-1737337-g0004.tif">
<alt-text content-type="machine-generated">Funnel plot showing the standard error (SE) of the logarithm of the odds ratio (OR) on the vertical axis against the logarithm of the odds ratio on the horizontal axis. Data points are scattered, forming an inverted funnel shape around a central line, with two dashed lines indicating confidence intervals.</alt-text>
</graphic>
</fig>
<fig position="float" id="F5">
<label>Figure 5</label>
<caption><p>Funnel plot assessing publication bias for studies comparing metformin use and SGA incidence specifically in studies using insulin as comparator.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-12-1737337-g0005.tif">
<alt-text content-type="machine-generated">Funnel plot showing SE(log[OR]) on the vertical axis and OR on the horizontal axis, with circles representing study data points scattered around a central line. Dashed lines form a funnel shape, indicating potential publication bias.</alt-text>
</graphic>
</fig>
</sec></sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Study and quality characteristics</title>
<p>Our search identified 1,069 records. After removing duplicates and screening titles, abstracts, and full texts, 19 studies involving 115,192 pregnancies were included (<xref ref-type="fig" rid="F1">Figure 1</xref>). These studies included 19 couples of the experimental and control group. Of all the included studies, 50% were randomized controlled trials (RCTs). <xref ref-type="table" rid="T2">Table 2</xref> provides an overview of the study designs and outcomes of the included studies. Notably, approximately 45% of the studies did not report data on race or ethnicity, which could potentially limit the generalizability of the results.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Classification the included articles.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Type of study</bold></th>
<th valign="top" align="center"><bold>Metformin vs. insulin</bold></th>
<th valign="top" align="center"><bold>Metformin vs. diet</bold></th>
<th valign="top" align="center"><bold>Metformin vs. placebo</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Randomized controlled trials</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">3</td>
</tr>
<tr>
<td valign="top" align="left">Observational studies</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">3</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>A detailed list of outcomes provided in the full report. The included articles were classified in detail according to their content to facilitate readers&#x00027; subsequent analysis.</p>
</table-wrap-foot>
</table-wrap></sec>
<sec>
<title>Neonatal outcomes</title>
<p>The association between maternal metformin use and the risk of SGA was evaluated across four comparator groups. The pooled analysis results are summarized in <xref ref-type="table" rid="T3">Table 3</xref>: No significant difference: Metformin vs. Unclassified Population (<italic>n</italic> = 115,192) (OR 1.10, 95% CI 0.97&#x02013;1.24, <italic>p</italic> = 0.14, <italic>I</italic><sup>2</sup> = 39%) (<xref ref-type="fig" rid="F6">Figure 6</xref>) (<xref ref-type="bibr" rid="B12">12</xref>&#x02013;<xref ref-type="bibr" rid="B31">31</xref>), Metformin vs. Insulin (<italic>n</italic> = 27,622) (OR 1.25, 95% CI 0.91&#x02013;1.73, <italic>I</italic><sup>2</sup> = 54%) (<xref ref-type="fig" rid="F7">Figure 7</xref>) (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B17">17</xref>&#x02013;<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B22">22</xref>&#x02013;<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>), Metformin vs. Placebo (<italic>n</italic> = 1,685) (OR 1.36, 95% CI 0.80&#x02013;2.32, <italic>I</italic><sup>2</sup> = 55%) (<xref ref-type="fig" rid="F8">Figure 8</xref>) (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B31">31</xref>). Metformin vs. Diet Modification (<italic>n</italic> = 554): The risk of SGA was significantly lower in the metformin group (OR 0.50, 95% CI 0.29&#x02013;0.87, <italic>I</italic><sup>2</sup> = 0%) (<xref ref-type="fig" rid="F9">Figure 9</xref>) (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B28">28</xref>).</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Meta-analysis of SGA risk: metformin vs. different comparators.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>Comparator group</bold></th>
<th valign="top" align="center"><bold>Number of participants (<italic>n</italic>)</bold></th>
<th valign="top" align="center"><bold>Number of studies</bold></th>
<th valign="top" align="center"><bold>Odds ratio (OR)</bold></th>
<th valign="top" align="center"><bold>95% Confidence interval</bold></th>
<th valign="top" align="center"><bold><italic>I</italic><sup>2</sup> statistic</bold></th>
<th valign="top" align="center"><bold><italic>p</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Unclassified population</td>
<td valign="top" align="center">115,192</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">1.10</td>
<td valign="top" align="center">0.97&#x02013;1.24</td>
<td valign="top" align="center">39%</td>
<td valign="top" align="center">0.14</td>
</tr>
<tr>
<td valign="top" align="left">Insulin</td>
<td valign="top" align="center">27,622</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">1.25</td>
<td valign="top" align="center">0.91&#x02013;1.73</td>
<td valign="top" align="center">54%</td>
<td valign="top" align="center">0.17</td>
</tr>
<tr>
<td valign="top" align="left">Placebo</td>
<td valign="top" align="center">1,685</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1.36</td>
<td valign="top" align="center">0.80&#x02013;2.32</td>
<td valign="top" align="center">55%</td>
<td valign="top" align="center">0.26</td>
</tr>
<tr>
<td valign="top" align="left">Diet modification</td>
<td valign="top" align="center">554</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.50</td>
<td valign="top" align="center">0.29&#x02013;0.87</td>
<td valign="top" align="center">0%</td>
<td valign="top" align="center">0.01</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>Compared with the first three groups, the metformin group demonstrated no significant difference in the risk of SGA. However, compared with the diet group, the SGA risk was significantly lower in the metformin group.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="F6">
<label>Figure 6</label>
<caption><p>Studies evaluating the risk of SGA comparing metformin vs. unclassified population.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-12-1737337-g0006.tif">
<alt-text content-type="machine-generated">Forest plot from a meta-analysis showing odds ratios for various studies. Each study's odds ratio and confidence interval are plotted. The diamond at the bottom represents the overall effect, with an odds ratio of 1.10 and a confidence interval of 0.97 to 1.24. Vertical line indicates no effect; results show heterogeneity with Chi-square of 29.49, degrees of freedom 18, and a p-value of 0.04.</alt-text>
</graphic>
</fig>
<fig position="float" id="F7">
<label>Figure 7</label>
<caption><p>Studies evaluating the risk of SGA comparing metformin vs. insulin.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-12-1737337-g0007.tif">
<alt-text content-type="machine-generated">Forest plot displaying results from a meta-analysis of 12 studies comparing experimental and control groups. The plot shows odds ratios along with 95% confidence intervals for each study, with weights indicated. Diamonds and squares represent overall and individual study estimates, respectively. The overall odds ratio is 1.25 with a 95% confidence interval ranging from 0.91 to 1.73. The heterogeneity statistics include Tau&#x000B2; = 0.12, Chi&#x000B2; = 23.80, degrees of freedom = 11, P = 0.01, and I&#x000B2; = 54%. The test for overall effect shows Z = 1.39, P = 0.17.</alt-text>
</graphic>
</fig>
<fig position="float" id="F8">
<label>Figure 8</label>
<caption><p>Studies evaluating the risk of SGA comparing metformin vs. placebo.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-12-1737337-g0008.tif">
<alt-text content-type="machine-generated">Forest plot displaying the odds ratios for two studies: Jyoti Balani 2012 and Malgorzata M. Brzozowska 2023. The plot shows odds ratios of 0.50 [0.28, 0.90] and 0.52 [0.11, 2.34], respectively. The overall odds ratio is 0.50 [0.29, 0.87], favoring the experimental group. Weight percentages are 86.9% and 13.1% for the respective studies. The plot includes a diamond representing the combined effect, a horizontal line for confidence intervals, and a vertical line indicating no effect. Total events are equal in each group, with a Z-score of 2.45 (P = 0.01).</alt-text>
</graphic>
</fig>
<fig position="float" id="F9">
<label>Figure 9</label>
<caption><p>Studies evaluating the risk of SGA comparing metformin vs. diet modification.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-12-1737337-g0009.tif">
<alt-text content-type="machine-generated">Forest plot illustrating the odds ratios of three studies comparing experimental and control groups. The studies listed are Carolyn Chiswick 2015, Denice S Feig 2020, and Guro &#x000D8;rndal Nilsen 2023. Odds ratios are 1.33, 2.22, and 0.95 respectively, with confidence intervals. The overall odds ratio is 1.36, indicating no significant difference, as the confidence interval crosses one. Heterogeneity is observed with I&#x000B2; at fifty-five percent.</alt-text>
</graphic>
</fig>
</sec></sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>This meta-analysis, encompassing data from 115,192 pregnancies across 19 studies, provides the most comprehensive evidence to date regarding the association between metformin use for GDM and the risk of SGA. The principal finding is that metformin does not significantly increase the risk of SGA compared to insulin, placebo, or an unclassified treatment population.</p>
<p>The comparable SGA risk between metformin and insulin aligns with a previous meta-analysis, reinforcing the reliability of this finding (<xref ref-type="bibr" rid="B32">32</xref>). Although some individual studies mentioned a potential increased risk of SGA with maternal metformin use, our statistical analysis did not support this concern. The reason might be that metformin improves maternal insulin sensitivity without substantially impairing placental function, thus exerting minimal adverse effects on fetal growth. However, as metformin crosses the placenta, the long-term effects on fetal growth and metabolism remain unclear, necessitating further study (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>A noteworthy finding is the significantly lower risk of SGA observed with metformin compared to diet modification alone (OR 0.50). This contrasts with the null findings in other comparisons and has not been highlighted in prior reviews.</p>
<p>This finding highlights the potential limitations of dietary interventions in achieving optimal glycemic control during pregnancy. This conclusion is based on limited data, as studies comparing metformin with diet are few and methodologically heterogeneous, warranting cautious interpretation (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>By incorporating a larger number of studies than previous reviews, this analysis provides a more comprehensive assessment of the association between metformin use and SGA risk. In the process of searching, we used the keywords with metformin, SGA, GDM and the synonymous substitutions, to assure more and complete articles being included.</p>
<p>A major strength of this study was the comprehensive analysis of multiple comparative groups. No previous meta-analysis has specifically compared metformin with multiple alternative treatments regarding SGA incidence, highlighting the unique contribution of our study. Conversely, insulin therapy should remain the preferred option in high-risk populations, including those with pre-existing fetal growth concerns or contraindications to metformin use.</p>
<p>However, there were several limitations. Variations in GDM diagnostic criteria, treatment protocols, metformin dosing (ranging from 500 mg to 2500 mg daily), patient baseline characteristics (e.g., age, BMI, ethnicity&#x02014;with approximately 45% of studies not reporting ethnicity) contributed to the moderate-to-high statistical heterogeneity observed (<italic>I</italic><sup>2</sup> up to 55%) (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B33">33</xref>) (<xref ref-type="table" rid="T4">Table 4</xref>). It suggests that the overall &#x0201C;no significant difference&#x0201D; finding may mask variable effects in different patient subgroups or clinical settings. Additionally, the complete absence of long-term follow-up data in the included studies represents a major evidence gap. While our analysis focused on neonatal SGA, it provides no information on potential long-term developmental, metabolic, or cardiovascular outcomes in children exposed to metformin <italic>in utero</italic>. Therefore, the absence of an overall significant association should not be interpreted as uniform safety across all clinical contexts, and individualized treatment decisions remain essential. This limitation precludes a comprehensive safety assessment and means that current clinical recommendations based on short-term neonatal outcomes must be made with caution, acknowledging this unknown. In clinical practice, this means that while metformin may be appropriate for many women with GDM, insulin may remain preferable in pregnancies with existing concerns about fetal growth or in populations not well represented in current studies. The limitations weaken the robustness and generalizability of these specific comparisons, and prevents a comprehensive evaluation of the potential developmental and metabolic effects of prenatal metformin exposure on offspring, preventing a definitive evaluation of metformin&#x00027;s long-term safety profile.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>The table summarizing study characteristics and sources of heterogeneity.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left"><bold>No</bold></th>
<th valign="top" align="center"><bold>References</bold></th>
<th valign="top" align="center"><bold>Study design</bold></th>
<th valign="top" align="center"><bold><italic>N</italic></bold></th>
<th valign="top" align="center"><bold>Distribution</bold></th>
<th valign="top" align="center"><bold>Age mean &#x000B1;SD/range (y)</bold></th>
<th valign="top" align="center"><bold>BMI mean &#x000B1;SD/median (IQR) (kg/m<sup>2</sup>)</bold></th>
<th valign="top" align="center"><bold>2 h OGTT mean &#x000B1;SD/range (mmol/L)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="center">Chiswick et al. (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="top" align="center">Randomized controlled trial</td>
<td valign="top" align="center">434</td>
<td valign="top" align="center">UK</td>
<td valign="top" align="center">28.7 &#x000B1; 5.8</td>
<td valign="top" align="center">37.8 &#x000B1; 4.9</td>
<td valign="top" align="center">NR</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="center">Feig et al. (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="center">Randomized controlled trial</td>
<td valign="top" align="center">473</td>
<td valign="top" align="center">Australia, Canada</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="center">Eid et al.(<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td valign="top" align="center">Randomized controlled trial</td>
<td valign="top" align="center">229</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">31.6 &#x000B1; 3.6</td>
<td valign="top" align="center">29.44 &#x000B1; 4.53</td>
<td valign="top" align="center">&#x0003E;8.6</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="center">Dunne et al. (<xref ref-type="bibr" rid="B29">29</xref>)</td>
<td valign="top" align="center">Randomized controlled trial</td>
<td valign="top" align="center">524</td>
<td valign="top" align="center">Ireland</td>
<td valign="top" align="center">34.3 &#x000B1; 4.9</td>
<td valign="top" align="center">29.9 (25.6&#x02013;33.7)</td>
<td valign="top" align="center">&#x02265;8.5</td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="center">Nilsen et al. (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="center">Randomized controlled trial</td>
<td valign="top" align="center">778</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">29.7 &#x000B1; 4.5</td>
<td valign="top" align="center">28.9 &#x000B1; 6.4</td>
<td valign="top" align="center">NR</td>
</tr>
<tr>
<td valign="top" align="left">6</td>
<td valign="top" align="center">Balani et al. (<xref ref-type="bibr" rid="B13">13</xref>)</td>
<td valign="top" align="center">Case-control study</td>
<td valign="top" align="center">499</td>
<td valign="top" align="center">Asia, Africa</td>
<td valign="top" align="center">33.4 &#x000B1; 5.4</td>
<td valign="top" align="center">30.2 &#x000B1; 7.1</td>
<td valign="top" align="center">&#x0003E;7.8</td>
</tr>
<tr>
<td valign="top" align="left">7</td>
<td valign="top" align="center">Brand et al. (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="top" align="center">Case-control study</td>
<td valign="top" align="center">91910</td>
<td valign="top" align="center">Finland</td>
<td valign="top" align="center">18&#x02013;45</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">&#x02265;8.6</td>
</tr>
<tr>
<td valign="top" align="left">8</td>
<td valign="top" align="center">Kim A.Boggess (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="top" align="center">Randomized controlled trial</td>
<td valign="top" align="center">794</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">18&#x02013;45</td>
<td valign="top" align="center">36.4 &#x000B1; 8.0</td>
<td valign="top" align="center">NR</td>
</tr>
<tr>
<td valign="top" align="left">9</td>
<td valign="top" align="center">Tertti et al. (<xref ref-type="bibr" rid="B12">12</xref>)</td>
<td valign="top" align="center">Case-control study</td>
<td valign="top" align="center">90</td>
<td valign="top" align="center">South Western Finland</td>
<td valign="top" align="center">32.7 &#x000B1; 4.8</td>
<td valign="top" align="center">33.2 &#x000B1; 6.2</td>
<td valign="top" align="center">8.9 &#x000B1; 2.0</td>
</tr>
<tr>
<td valign="top" align="left">10</td>
<td valign="top" align="center">Brzozowska et al. (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="center">Cohort study</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">Asia</td>
<td valign="top" align="center">31.9 &#x000B1; 4.9</td>
<td valign="top" align="center">25.8 &#x000B1; 4.7</td>
<td valign="top" align="center">NR</td>
</tr>
<tr>
<td valign="top" align="left">11</td>
<td valign="top" align="center">Pic&#x000F3;n-C&#x000E9;sar et al. (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="center">Randomized controlled trial</td>
<td valign="top" align="center">191</td>
<td valign="top" align="center">Spain</td>
<td valign="top" align="center">18&#x02013;45</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
</tr>
<tr>
<td valign="top" align="left">12</td>
<td valign="top" align="center">Huhtala et al. (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="center">Randomized controlled trial</td>
<td valign="top" align="center">192</td>
<td valign="top" align="center">Finland</td>
<td valign="top" align="center">30.3 &#x000B1; 5.2</td>
<td valign="top" align="center">29.1 &#x000B1; 5.5</td>
<td valign="top" align="center">&#x02265;8.7</td>
</tr>
<tr>
<td valign="top" align="left">13</td>
<td valign="top" align="center">McGrath et al. (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="top" align="center">Case-control study</td>
<td valign="top" align="center">166</td>
<td valign="top" align="center">Australia</td>
<td valign="top" align="center">33.1 &#x000B1; 4.8</td>
<td valign="top" align="center">27.8 &#x000B1; 8.0</td>
<td valign="top" align="center">&#x0003E;8.5</td>
</tr>
<tr>
<td valign="top" align="left">14</td>
<td valign="top" align="center">Fornes et al. (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="center">Cohort study</td>
<td valign="top" align="center">1864</td>
<td valign="top" align="center">Swedish</td>
<td valign="top" align="center">32.4 &#x000B1; 5.0</td>
<td valign="top" align="center">26.9 &#x000B1; 4.5</td>
<td valign="top" align="center">NR</td>
</tr>
<tr>
<td valign="top" align="left">15</td>
<td valign="top" align="center">Bowker et al. (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="top" align="center">Cohort study</td>
<td valign="top" align="center">13704</td>
<td valign="top" align="center">Canada</td>
<td valign="top" align="center">30.5 &#x000B1; 3.3</td>
<td valign="top" align="center">25.4 &#x000B1; 2.0</td>
<td valign="top" align="center">NR</td>
</tr>
<tr>
<td valign="top" align="left">16</td>
<td valign="top" align="center">Ruholamin et al. (<xref ref-type="bibr" rid="B14">14</xref>)</td>
<td valign="top" align="center">Randomized controlled trial</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">24.6 &#x000B1; 6.3</td>
<td valign="top" align="center">26.4 &#x000B1; 2.8</td>
<td valign="top" align="center">NR</td>
</tr>
<tr>
<td valign="top" align="left">17</td>
<td valign="top" align="center">Lin et al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="center">Retrospective cohort study</td>
<td valign="top" align="center">848</td>
<td valign="top" align="center">China</td>
<td valign="top" align="center">34.05</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
</tr>
<tr>
<td valign="top" align="left">18</td>
<td valign="top" align="center">Simeonova-Krstevska et al. (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="center">Randomized controlled trial</td>
<td valign="top" align="center">149</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">32.2 &#x000B1; 4.7</td>
<td valign="top" align="center">28.8 &#x000B1; 5.3</td>
<td valign="top" align="center">&#x0003C; 8.5</td>
</tr>
<tr>
<td valign="top" align="left">19</td>
<td valign="top" align="center">Yu et al. (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="center">Cohort study</td>
<td valign="top" align="center">2192</td>
<td valign="top" align="center">UK</td>
<td valign="top" align="center">18&#x02013;45</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>BMI, body mass index; SD, standard deviation; NR, not record; OGTT, oral glucose tolerance test.</p>
</table-wrap-foot>
</table-wrap>
<p>To address the limitations of current evidence and translate these findings into clearer clinical guidance, future research should prioritize the following: Standardization of Study Protocols: prospective studies, especially randomized controlled trials, should adopt consensus-based, standardized protocols for GDM diagnosis, metformin dosing, and comparator treatments. This will reduce methodological heterogeneity and facilitate more robust and comparable meta-analyses in the future. Long-term Offspring Follow-up: the focus of research must extend beyond birth outcomes. Large-scale, longitudinal cohort studies are imperative to evaluate the long-term cardiometabolic health, neurodevelopment, and growth trajectories of children exposed to metformin <italic>in utero</italic>. Such data are essential for a comprehensive risk-benefit assessment of metformin use in pregnancy.</p>
<p>Overall, maternal oral metformin can indeed reduce newborn weight to a certain extent (metformin can prevent LGA to a certain extent), but the data tend to presents a milder effect that has not reached the level of SGA. The potential for its broader clinical application remains promising. Some studies provided proof of concept that treatment of preterm pre-eclampsia and pregnancy-related hypertension is possible (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). Mechanistic studies exploring how metformin influences placental function and fetal development may further elucidate its safety profile. Through this analysis, we currently agree on the safety of metformin, it is reasonable to use metformin in those with type 2 diabetes and chronic hypertension or nephropathy in pregnancy (<xref ref-type="bibr" rid="B36">36</xref>).</p></sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>This meta-analysis suggests that metformin is a cost-effective and generally safe treatment option for GDM, with no significant association with increased SGA risk in the general population. Metformin presents a practical alternative for patients who cannot tolerate insulin or face significant financial constraints. Its affordability and ease of use make it an attractive option for low-risk pregnancies or resource-limited settings. Despite these promising findings, the need for further research remains critical to fully understand the long-term effects of metformin and to optimize GDM management strategies. A patient-centered approach that considers individual risk factors, treatment preferences, and socioeconomic circumstances is crucial for tailoring GDM management strategies (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>).</p></sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>WZhang: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Supervision, Validation, Visualization, Writing &#x02013; original draft. LR: Conceptualization, Formal analysis, Investigation, Methodology, Supervision, Validation, Visualization, Writing &#x02013; review &#x00026; editing. JD: Conceptualization, Project administration, Resources, Supervision, Validation, Visualization, Writing &#x02013; review &#x00026; editing. RS: Conceptualization, Investigation, Methodology, Project administration, Software, Supervision, Validation, Visualization, Writing &#x02013; review &#x00026; editing. WZhao: Conceptualization, Methodology, Project administration, Software, Validation, Visualization, Writing &#x02013; review &#x00026; editing. XS: Conceptualization, Methodology, Project administration, Software, Validation, Visualization, Writing &#x02013; review &#x00026; editing. SJ: Methodology, Supervision, Validation, Visualization, Writing &#x02013; review &#x00026; editing. ZW: Conceptualization, Funding acquisition, Project administration, Supervision, Validation, Visualization, Writing &#x02013; review &#x00026; editing. WW: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Project administration, Resources, Supervision, Validation, Visualization, Writing &#x02013; review &#x00026; editing.</p>
</sec>
<ack><title>Acknowledgments</title><p>Thanks for the supports by grants from the Natural Science Foundation of Shandong Province (ZR2024QH624), the Major Scientific and Technological Innovation Project (MSTIP) (2023CXGC010705) and Shandong Province Pig Industry Technology System (SDAIT-08-17).</p></ack>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s9">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not 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 sec-type="disclaimer" id="s10">
<title>Publisher&#x00027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1449500/overview">Abbas Choudhury</ext-link>, VIT University, India</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2859434/overview">Marcelo Adrian Estrin</ext-link>, Interamerican Open University, Argentina</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2881267/overview">Iman Aitelhaj</ext-link>, University of Oradea, Romania</p>
</fn>
</fn-group>
<fn-group>
<fn fn-type="abbr" id="abbr1"><label>Abbreviations:</label><p>GDM, gestational diabetes mellitus; SGA, small for gestational age; OR, odds ratio; RCT, randomized controlled trials.</p></fn></fn-group>
</back>
</article>