Algorithms to Identify Major Congenital Malformations in Routinely Collected Healthcare Data: A Systematic Review

20250 citationsReviewhybrid Open Access

Authors

Melanie H. Jacobson · Johnson & Johnson (United States)

Meritxell Sabidó · Merck (Germany)

Ana Sofía Afonso · Eli Lilly (Netherlands)

Adebola Ajao · Center for Drug Evaluation and Research

Eman Ali Saeed Alghamdi · Saudi Arabian Monetary Authority

Susan E. Andrade · Harvard University

Dimitri Bennett

Abstract

We provide the first comprehensive systematic literature review of algorithms used to identify MCMs in routinely collected healthcare data, aiding researchers in their ability to generate reliable evidence in pregnancy safety pharmacoepidemiology.

Topics & Keywords

Pregnancy and Medication Impact Pregnancy and preeclampsia studies Prenatal Screening and Diagnostics

Publication Details

Published in: Drug Safety

Volume 49, Issue 3, pp. 273-289

DOI: 10.1007/s40264-025-01606-w

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Algorithms to Identify Major Congenital Malformations in Routinely Collected Healthcare Data: A Systematic Review

Authors

Abstract

Topics & Keywords

Publication Details