Major Malformations Following Exposure to Nonsteroidal Antiinflammatory Drugs During the First Trimester of Pregnancy
Bibliographic record
Abstract
OBJECTIVE: Nonsteroidal antiinflammatory drugs (NSAID) are among the most common medicines used by pregnant women. Published data are controversial regarding fetal safety following intrauterine exposure to NSAID. We investigated exposure to NSAID in the first trimester in a large cohort of infants and fetuses. METHODS: A computerized database of medications dispensed from 1998 to 2009 to all women registered in the "Clalit" health maintenance organization in Southern Israel was linked with 2 computerized databases containing maternal and infant hospitalization records. Pregnancy terminations for medical reasons were analyzed. The following confounders were controlled for: parity, maternal age, ethnicity, maternal pregestational diabetes, maternal inflammatory disease, and year of birth or pregnancy termination. First trimester exposure to nonselective cyclooxygenase (COX) inhibitors and to selective COX-2 inhibitors as groups and to individual drugs was analyzed. RESULTS: There were 110,783 pregnancies during the study period: 109,544 singleton births and 1239 pregnancy terminations for medical reasons. In total, 5267 mothers were exposed to NSAID during the first trimester of pregnancy: 5153 to nonselective COX inhibitors and 114 to COX-2 selective inhibitors. Exposure to NSAID in the first trimester, as groups (nonselective COX and selective COX-2 inhibitors) and as individual drugs, was not associated with an increased risk of major congenital malformations in general (adjusted OR 1.07, 95% CI 0.96-1.21 for nonselective; and adjusted OR 1.40, 95% CI 0.70-2.78, for selective COX-2 inhibitors), although an increased risk for musculoskeletal malformations was found following exposure to COX-2 selective inhibitors (adjusted OR 3.39, 95% CI 1.37-8.34). CONCLUSION: Intrauterine exposure to NSAID was not associated with increased risk for major congenital malformations. Further studies are needed to assess the risk for malformations after exposure to COX-2 selective inhibitors.
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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 | 0.000 |
| 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".