Exposure to folic acid antagonists during the first trimester of pregnancy and the risk of major malformations
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT: * Previous studies have suggested a tendency of antifolate drugs to be associated with higher rates of neural tube defects. WHAT THIS STUDY ADDS: * This study makes use of the data on abortuses, which is missed in many other studies. In this case, the abortion data were critical. * The study documents that clinicians should avoid, as much as possible, the use of folic acid antagonists during the first trimester of pregnancy, when embryogenesis takes place. AIM: To investigate the safety of folic acid antagonists during the first trimester of pregnancy in a large cohort. METHODS: Computerized databases for medications dispensed from 1998 to 2007 to women registered in 'Clalit' HMO, Israel southern district, was linked with maternal and infant hospitalization records, and to therapeutics abortions data. The risk for adverse pregnancy outcomes of folic acid antagonists exposure was assessed by adjusting for known confounders. RESULTS: Eighty-four thousand, eight hundred and twenty-three infants were born and 998 therapeutic abortions took place; 571 fetuses and infants were exposed to one or more folic acid antagonists in the first trimester of pregnancy. Exposure was associated with an overall increased risk of congenital malformations [odds ratio (OR) 2.43, 95% confidence interval (CI) 1.92, 3.08], due mainly to increased risk for neural tube (adjusted OR 6.5, 95% CI 4.34, 9.15) and cardiovascular defects (OR 1.76, CI 1.05, 2.95). CONCLUSION: First-trimester exposure to folic acid antagonists is associated with increased risk of congenital malformations.
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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 | 0.002 | 0.001 |
| 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 | 0.001 |
| 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