Acetaminophen Use During Pregnancy and Neurodevelopmental Risk: Biological Plausibility
Bibliographic record
Abstract
In May of 2025, a Canadian Mother-Child Initiative on Drug Safety in Pregnancy symposium was held during the Canadian National Perinatal Research Meeting in Montréal, Québec. This symposium included a presentation covering the mechanistic evidence on the biological plausibility of acetaminophen use during pregnancy affecting neurodevelopment. Three mechanistic pathways including oxidative stress, changes in placental and brain transporter expression, and alterations in epigenetic regulation were presented. Given that much of the mechanistic evidence comes from animal and in vitro studies, limitations with these models and their relevance to human pregnancy were also considered. Current evidence for both human and mechanistic studies remain too limited and inconsistent to infer a causal effect at typical clinical exposures. Therefore, the Society of Obstetricians and Gynaecologists of Canada's recommendation that "the use of acetaminophen as a first-line therapeutic option for fever and pain in pregnancy when medically indicated at recommended doses for the shortest duration required" is supported.
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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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".