Impact of Major Congenital Malformation Algorithms on Their Prevalence in Large Population‐Based Mother–Child Cohorts

Algorithm choice substantially impacts MCM prevalence estimates. Transparent definitions enhance reproducibility and cross-study comparability in pharmacoepidemiologic research.

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Publication Details

Journal
Paediatric and Perinatal Epidemiology
Published
2026-03-16
DOI
https://doi.org/10.1111/ppe.70129
Primary Topic
Prenatal Screening and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
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article

Impact of Major Congenital Malformation Algorithms on Their Prevalence in Large Population‐Based Mother–Child Cohorts

Younes Bousbaa, Gabra Nohmie, Anick Bérard, Odile Sheehy
Paediatric and Perinatal Epidemiology
Prenatal Screening and Diagnostics
article

Impact of Major Congenital Malformation Algorithms on Their Prevalence in Large Population‐Based Mother–Child Cohorts

Younes Bousbaa, Gabra Nohmie, Anick Bérard, Odile Sheehy
article en

Abstract

Algorithm choice substantially impacts MCM prevalence estimates. Transparent definitions enhance reproducibility and cross-study comparability in pharmacoepidemiologic research.

Paediatric and Perinatal Epidemiology
Université de Tours (FR), Université Paris-Saclay (FR), Centre Hospitalier Universitaire Sainte-Justine (CA), Université du Québec (CA), Université de Montréal (CA)
Openalex Percentile: Top 20%
Prenatal Screening and Diagnostics
DOISourceOpenAlex
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