Use of macrolides during pregnancy and the risk of birth defects: a population‐based study
Bibliographic record
Abstract
PURPOSE: Macrolides have been linked to the occurrence of congenital heart defects, but findings are inconsistent. We therefore aimed to estimate the risk of major congenital malformations (MCMs) after fetal exposure to macrolides, focusing on cardiac malformations. METHODS: From the Quebec Pregnancy Cohort (1998-2008), women exposed to a macrolide or penicillin in the first trimester and unexposed women were studied. There were 135 859 pregnancies included; 914 were exposed to azithromycin, 734 to erythromycin, 686 to clarithromycin, and 9106 to penicillin during the first trimester. Cases of MCMs were identified within the first year of life. RESULTS: After adjusting for potential confounders, azithromycin (RR = 1.19, 95%CI: 0.98, 1.44; 120 exposed cases), erythromycin (RR = 0.96, 95%CI: 0.74, 1.24; 66 exposed cases) and clarithromycin use (RR = 1.12, 95%CI: 0.99, 1.42; 79 exposed cases) during the first trimester of pregnancy were not statistically significantly associated with the risk of MCMs; no associations were observed for cardiac malformations. CONCLUSIONS: First trimester exposure to any of the macrolides was not associated with an increased risk of overall MCMs or cardiac malformations specifically.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".