Drug-induced congenital malformations: integrating meta-analysis with in silico drug–target profiling in pregnancy

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This meta-analysis found that benzodiazepines, NSAIDs, SSRIs, lithium, and topiramate were associated with increased risks of congenital malformations in newborns.

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This preprint conducted a systematic review and meta-analysis (PRISMA-guided) of studies assessing associations between medication exposure during pregnancy and congenital malformations, using database searches of PubMed, Embase, and Scopus, with extracted study design/population/outcomes and pooled relative risks by drug class and outcome. Across the pooled analyses, benzodiazepines (RR 1.09; 95% CI 1.05–1.13), NSAIDs (RR 1.14; 95% CI 1.10–1.18), SSRIs (RR 1.11; 95% CI 1.03–1.19), and lithium (OR 1.81, 95% CI 1.35–2.41) were associated with increased risk of congenital malformations, while topiramate showed a strong association with oral clefts (RR 5.16; 95% CI 1.94–13.73). A key caveat is that the work is presented as a preprint and not peer reviewed, and it also does not provide further limitations such as residual confounding or heterogeneity in the excerpted text. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract Background: Congenital malformations are a leading cause of neonatal morbidity and mortality. Several medications have known or suspected teratogenic effects which vary in strength and consistency. Methods: We performed a systematic review and meta-analysis following PRISMA guidelines. Databases (PubMed, Embase, Scopus) were searched for studies evaluating the association between drug exposure during pregnancy and congenital malformations. Study details, design, populations, interventions, outcomes, and effect estimates were extracted. Pooled relative risks and subgroup analyses were performed by drug class and outcome. Results: Benzodiazepines (RR 1.09; 95% CI 1.05–1.13), NSAIDs (RR 1.14; 95% CI 1.10–1.18), SSRIs (RR 1.11; 95% CI 1.03–1.19; 95% CI 1.11–1.37) and lithium (OR 1.81, 95% CI 1.35–2.41) were associated with increased risk of congenital malformations. Yet, topiramate was strongly associated with oral clefts (RR 5.16; 95% CI 1.94–13.73). Conclusion: Several commonly used medications in pregnancy are associated with increased risk of congenital malformations. These results emphasize the importance of maternal health care in clinical practice.
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Drug-induced congenital malformations: integrating meta-analysis with in silico drug–target profiling in pregnancy | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 14 October 2025 V1 Latest version Share on Drug-induced congenital malformations: integrating meta-analysis with in silico drug–target profiling in pregnancy Authors : Hecximar Raykrely Martínez Aldana and Cezar Rangel Pestana 0000-0003-4178-6751 [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.176046163.35181194/v1 97 views 66 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Abstract Background: Congenital malformations are a leading cause of neonatal morbidity and mortality. Several medications have known or suspected teratogenic effects which vary in strength and consistency. Methods: We performed a systematic review and meta-analysis following PRISMA guidelines. Databases (PubMed, Embase, Scopus) were searched for studies evaluating the association between drug exposure during pregnancy and congenital malformations. Study details, design, populations, interventions, outcomes, and effect estimates were extracted. Pooled relative risks and subgroup analyses were performed by drug class and outcome. Results: Benzodiazepines (RR 1.09; 95% CI 1.05–1.13), NSAIDs (RR 1.14; 95% CI 1.10–1.18), SSRIs (RR 1.11; 95% CI 1.03–1.19; 95% CI 1.11–1.37) and lithium (OR 1.81, 95% CI 1.35–2.41) were associated with increased risk of congenital malformations. Yet, topiramate was strongly associated with oral clefts (RR 5.16; 95% CI 1.94–13.73). Conclusion: Several commonly used medications in pregnancy are associated with increased risk of congenital malformations. These results emphasize the importance of maternal health care in clinical practice. Supplementary Material File (bjcp_main_article.docx) Download 33.04 KB Information & Authors Information Version history V1 Version 1 14 October 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Authors Affiliations Hecximar Raykrely Martínez Aldana Universidade Federal da Integracao Latino-Americana View all articles by this author Cezar Rangel Pestana 0000-0003-4178-6751 [email protected] Universidade Federal da Integracao Latino-Americana View all articles by this author Metrics & Citations Metrics Article Usage 97 views 66 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Hecximar Raykrely Martínez Aldana, Cezar Rangel Pestana. Drug-induced congenital malformations: integrating meta-analysis with in silico drug–target profiling in pregnancy. Authorea . 14 October 2025. DOI: https://doi.org/10.22541/au.176046163.35181194/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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