Risk of major malformations in infants after first‐trimester exposure to benzodiazepines: Results from the Massachusetts General Hospital National Pregnancy Registry for Psychiatric Medications
Bibliographic record
Abstract
BACKGROUND: Perinatal anxiety affects 20% of women, and untreated maternal mental illness can cause deleterious effects for women and their children. Benzodiazepines are commonly used to treat anxiety disorders. The reported risk of congenital malformations after in utero benzodiazepine exposure has been inconsistent. METHODS: The Massachusetts General Hospital National Pregnancy Registry for Psychiatric Medications prospectively enrolls pregnant women with psychiatric illness who take one or more psychiatric medications. Participants are interviewed twice during pregnancy and at 12 weeks postpartum. Women taking any benzodiazepine during the first trimester of pregnancy were compared with a group of women taking psychiatric medication(s) other than benzodiazepines during pregnancy. RESULTS: A total of 1053 women were eligible for this analysis; N = 151 women who had taken a benzodiazepine during the first trimester, and the comparison group was N = 902 women. There were 5 (3.21%) major malformations in the exposure group and 32 (3.46%) in the comparison group (odds ratio 0.92; 95% confidence interval 0.35-2.41). CONCLUSION: This ongoing pregnancy registry offers reassurance that benzodiazepines do not appear to have major teratogenic effects. The precision of relative risk estimate will improve as the number of participants increases. This and other pregnancy registries will better inform the reproductive safety of benzodiazepines.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".