A Multicentre Prospective Controlled Study to Determine the Safety of Trazodone and Nefazodone Use during Pregnancy
Bibliographic record
Abstract
OBJECTIVES: Trazodone and nefazodone are phenylpiperazine antidepressants. Currently, there are no adequate, well-controlled studies on the fetal safety of these drugs. Our primary objective was to determine whether the use of trazodone or nefazodone during pregnancy is associated with an increased risk for major malformations. Secondary outcomes of interest included rates of spontaneous and therapeutic abortions, rates of premature labour, and birth weight. METHODS: Pregnant women from 5 centres who had been exposed to these drugs (n = 147) were enrolled in the study during their first trimester. We compared the women with 2 groups of women who took either other antidepressant drugs (n = 147) or nonteratogenic drugs (n = 147). All the women were followed up after delivery to ascertain pregnancy outcome and the health of the baby. RESULTS: We have completed 147 follow-ups. There were 121 (82.4%) live births, 20 (13.6%) spontaneous abortions, and 6 (4%) therapeutic abortions. Of the live births, there were 2 (1.6%) major malformations. In all cases, drug exposure occurred during the first trimester, with 52 (35%) of the women using these drugs throughout pregnancy. The mean gestational age at birth was 38 weeks (SD 4.2), and the mean birth weight was 3306.34 g (SD 655). We found no statistically significant differences among the 3 groups in any of the endpoints of interest that we examined. Of the sample, 58 women were exposed to trazodone, and 89 were exposed to nefazodone. CONCLUSION: Our results suggest that these drugs do not increase the rates of major malformations above the baseline rate of 1% to 3%.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".