Gestational Exposure to Antidepressants and the Risk of Spontaneous Abortion: A Review
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Although the relationship between antidepressant use during pregnancy and its adverse effects has been widely investigated, very few studies have evaluated the impact of antidepressant use during pregnancy on the risk of spontaneous abortion. We present an overview of the evidence relating to the association between antidepressant use during gestation and the risk of spontaneous abortion. METHODS: We systematically searched PubMed and the reference lists of all relevant articles, including reviews, published in English or French from 1975 through 2009 for studies that examined the association between adverse pregnancy outcomes and gestational exposure to antidepressants with data on spontaneous abortions. Only etiologic studies were considered. RESULTS: Fifteen studies met inclusion criteria. The majority of these were prospective cohort studies on tricyclics antidepressants (TCAs) or selective serotonin reuptake inhibitors (SSRIs) use during pregnancy. Overall, in unadjusted analyses, fluoxetine (OR = 2.0; 95% CI = 1.4 - 3.0) and bupropion (OR = 4.1; 95% CI = 1.5 - 11.1) were significantly associated with the risk of spontaneous abortion. However, in adjusted analyses, only paroxetine (OR = 1.7; 95% CI = 1.3 - 2.3) and venlafaxine (OR = 2.1; 95% CI = 1.3 - 3.3) were significantly associated with the risk of spontaneous abortion. CONCLUSIONS: This review suggests that gestational exposure to antidepressants, especially paroxetine and venlafaxine, can lead to spontaneous abortion.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 it