Systematic Review and Meta-Analysis: Acetaminophen Use During Pregnancy and the Risk of Neurodevelopmental Disorders in Childhood
Notice bibliographique
Résumé
OBJECTIVE: To explore the association between acetaminophen use during pregnancy and the risk of neurodevelopmental disorders (NDDs) in children. METHOD: ) with 95% confidence intervals were calculated in random-effects meta-analysis by type of NDD. We performed sensitivity analysis including a bounding method (E-value) and probabilistic bias analysis. RESULTS: = 1.17, 95% CI = 1.08-1.27). The estimated E-value of 1.61 suggests that the observed association may be partly due to unmeasured confounders. Non-differential exposure misclassification biased results toward the null and differential misclassification potentially biased them away from the null. Similar results were observed when assessing outcome misclassification. Acetaminophen use during pregnancy was not associated with the risk of autism spectrum disorder (ASD) when considering physician-based diagnoses (OR = 1.10, 95% CI = 0.98, 1.24; 2 studies; ASD 69,611, n exposed 222,096, E-value = 1.43). No significant increase in the risk of other NDDs was observed. CONCLUSION: Gestational exposure to acetaminophen was associated with a small increased risk of ADHD, which was attenuated in sensitivity analyses. Further studies are needed to examine this association more robustly. PLAIN LANGUAGE SUMMARY: Concerns have been raised about the possible risk of neurodevelopmental disorders in children exposed to acetaminophen in utero. This study conducted a systematic review and meta-analysis of 16 studies with over 2.5 million participants and found a small increased risk of attention-deficit/hyperactivity disorder (ADHD), though this may be due to unmeasured factors or reporting errors. No increased risk was found for other neurodevelopmental disorders, including autism. Findings suggest cautious interpretation for clinical guidance. STUDY REGISTRATION INFORMATION: Acetaminophen use during pregnancy and the risk of neurodevelopmental disorders (NDDs) in childhood: A Systematic Review and Meta-Analysis Protocol; https://www.crd.york.ac.uk/PROSPERO/view/CRD42024566964; https://osf.io/7rcqe DIVERSITY & INCLUSION STATEMENT: One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented racial and/or ethnic groups in science. One or more of the authors of this paper self-identifies as a member of one or more historically underrepresented sexual and/or gender groups in science. We actively worked to promote sex and gender balance in our author group. We actively worked to promote inclusion of historically underrepresented racial and/or ethnic groups in science in our author group. While citing references scientifically relevant for this work, we also actively worked to promote sex and gender balance in our reference list. While citing references scientifically relevant for this work, we also actively worked to promote inclusion of historically underrepresented racial and/or ethnic groups in science in our reference list.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,009 | 0,036 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,002 |
| Méta-épidémiologie (sens large) | 0,014 | 0,043 |
| Bibliométrie | 0,004 | 0,005 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».