SYSTEMATIC REVIEW article
Front. Psychiatry
Sec. Schizophrenia
Effect of Antipsychotic Consumption During Pregnancy on Risk of Gestational Diabetes Development: a systematic review and meta-analysis
Provisionally accepted- Guangzhou Red Cross Hospital, Guangzhou, China
 
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Background: The use of antipsychotic medications, including first-generation antipsychotics (FGAs) and second-generation antipsychotics (SGAs), during pregnancy has risen substantially. However, concerns remain regarding their potential metabolic effects, especially the risk of gestational diabetes mellitus (GDM). Methods: We conducted a systematic review and meta-analysis of observational studies published up to 2025 that examined the association between maternal exposure to antipsychotics or antidepressants and the risk of GDM. Data were extracted independently by two reviewers, quality was assessed using the Newcastle–Ottawa Scale, and pooled relative risks (RRs) were calculated using a random-effects model. Results: We selected seventeen eligible studies, including large registry-based cohorts and prospective investigations across multiple countries. Pooled analysis demonstrated that maternal exposure to SGAs was significantly associated with an increased risk of GDM (RR=1.59; 95% CI: 1.24–1.94), whereas FGAs showed no significant association (RR=1.31; 95% CI: 0.29–2.32). The risk appeared greatest among women with continuous or multi-trimester exposure, particularly when exposure extended from first trimester into the third trimester. Funnel plot and Egger test showed no publication bias. Conclusions: The higher risk of GDM seen with antipsychotic use was mainly linked to SGAs, while FGAs did not show the same effect. These findings emphasize the need to tailor treatment plans, closely monitor blood sugar levels, and involve a team of healthcare professionals when caring for pregnant women who require psychotropic medications.
Keywords: Antipsychotics, Pregnancy, gestational diabetes mellitus, Meta-analysis, Psychotropic medications
Received: 21 Sep 2025; Accepted: 03 Nov 2025.
Copyright: © 2025 Zhao and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor 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.
* Correspondence: Yanan  Zhao, yananzhao514@gmail.com
Disclaimer: 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.
