Risks of congenital malformations and neonatal intensive care unit admissions with gabapentin use in pregnancy: A cohort study and scoping review with meta‐analysis
Bibliographic record
Abstract
Abstract Background The increasing and prevalent use of gabapentin among pregnant people highlights the necessity to assess its neonatal safety. Objectives This study aimed to investigate the foetal safety of gabapentin during pregnancy using a cohort study and scoping review with a meta‐analysis of published evidence. Methods We conducted a population‐based cohort study using the Manitoba health databases between 1995 and 2019. We examined the association between gabapentin use during pregnancy and the prevalence of major congenital malformations, cardiac and orofacial malformations, and neonatal intensive care unit (NICU) admissions using multivariate regression models. We searched the literature in MEDLINE and EMBASE databases from inception to October 2022 to identify relevant observational studies and conducted a meta‐analysis using random‐effects models, including our cohort study results. Results Of the 289,227 included pregnancies, 870 pregnant people were exposed to gabapentin. Gabapentin exposure during the First trimester was not associated with an increased risk of any malformations (adjusted relative risk [aRR]) 1.16 (95% confidence interval [CI] 0.92, 1.46), cardiac malformations (aRR 1.29, 95% CI 0.72, 2.29), orofacial malformations (aRR 1.37, 95% CI 0.50, 3.75), and major congenital malformations (aRR 1.00, 95% CI 0.73, 1.36). whereas exposure during any trimester was associated with an increased NICU admission risk (aRR, 1.99, 95% CI 1.70, 2.32). The meta‐analysis of unadjusted results revealed an increased risk of major congenital malformations (RR 1.44, 95% CI 1.28, 1.61, I 2 = 0%), cardiac malformations (RR 1.66, 95% CI 1.11, 2.47, I 2 = 68%), and NICU admissions (RR 3.15, 95% CI 2.90, 3.41, I 2 = 10%), and increased trend of orofacial malformations (RR 1.98, 95% CI 0.79, 5.00, I 2 = 0%). Conclusions Gabapentin use was associated with an increased risk of NICU admissions in the cohort study and pooled meta‐analysis. Clinicians should prescribe gabapentin with caution during pregnancy and further studies are warranted.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".