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Record W4414180103 · doi:10.1192/j.eurpsy.2025.365

Neurodevelopmental Consequences of Antenatal Exposure to Antipsychotic Medication: A Systematic Review

2025· review· en· W4414180103 on OpenAlexaboutno aff
Anna‐Sophie Rommel, Thalia Robakis, Cameron M. Kaplan, Eline M. P. Poels

Bibliographic record

VenueEuropean Psychiatry · 2025
Typereview
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsnot available
Fundersnot available
KeywordsAntipsychoticNeurocognitiveMental illnessPopulationDiscontinuationPsycINFOOffspringPregnancy

Abstract

fetched live from OpenAlex

Introduction Antipsychotic (AP) medications are increasingly prescribed, with indications ranging from psychotic illness to mood disorders. Many patients and clinicians are concerned about long-term consequences of drug exposure in the neurodevelopmentally critical prenatal window. Yet maternal mental illness itself is also associated with significant changes to the prenatal environment. Objectives To systematically review the literature on the short- and long-term behavioral, socioemotional, psychomotor, and neurocognitive outcomes in children prenatally exposed to AP medication. Methods We included original studies assessing cognitive, motor, behavioral, social, and psychiatric. Searches were performed in MEDLINE, Cochrane, Embase, and PsycINFO for studies up to March 15, 2024. Quality and risk of bias were assessed using the Newcastle Ottawa Scale (NOS). Studies were eligible for inclusion if they were original, peer-reviewed research which assessed human offspring of any age, prenatally exposed to any antipsychotic medication, regardless of maternal indication for use. Results We identified 1,315 studies, and reviewed 53 in full-text screening. The final synthesis included 16 studies (6 cohort and 10 register-based studies) with the number of prenatally exposed individuals ranging from 17 to >15,000.Eleven studies included a control group with maternal mental illness in at least one of their analyses. These groups varied with some including any maternal mental illness, while others used an antipsychotic discontinuation control, and still others used non-antipsychotic psychiatric medication use as a control. Five studies included only a general or healthy maternal population control. Eight studies assessed motor development, ranging from newborn assessments up to 14 years of follow-up. These studies observed early motor delays following prenatal exposure to AP medication, which did not persist into later childhood. Five studies investigated risk for neurodevelopmental diagnoses and three studies explored school performance following prenatal AP exposure. No significant associations were found after adjustment for confounding. The quality of the evidence ranged from moderate to high. Conclusions While the majority of studies did not identify differences between exposed and unexposed groups, some differences emerged early in infancy or when looking at neurodevelopmental disorders. However, our findings suggest that the observed neurodevelopmental differences are likely due to confounding by indication rather than exposure to antipsychotics themselves. More rigorous research is needed to clarify the neurodevelopmental effects of AP use during pregnancy. Disclosure of Interest None Declared

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.023
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.006
Bibliometrics0.0090.010
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.344
Teacher spread0.316 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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