Evidence map›Paper›PMID 31074570›Full record

ReviewPharmacoepidemiology and drug safety2019

Use of real-world evidence from healthcare utilization data to evaluate drug safety during pregnancy.

Krista F Huybrechts, Brian T Bateman, Sonia Hernández-Díaz

Abstract readReview
In one paragraph

Review in Pharmacoepidemiology and drug safety, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

66 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Medication use during pregnancy in Japan from 2005 to 2019: Trends and safety considerations.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026
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  20. PregMedNet: Multifaceted Maternal Medication Impacts on Neonatal Complications.medRxiv : the preprint server for health sciences · 2025
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6 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Krista F HuybrechtsDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.ORCID 0000-0001-5805-8430
Brian T BatemanDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Sonia Hernández-DíazDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.

Funding

In-utero exposure to psychotropic medications and the risk of neurodevelopmental disordersR01MH116194 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI HUYBRECHTS, KRISTA F · 2018 to 2022
$2.9M
The Training Program in Reproductive, Perinatal, and Pediatric Life Course EpidemiologyT32HD104612 · NICHD · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Sonia Hernandez-Diaz, Henning Tiemeier · 2021 to 2026
$2.2M
The Impact of Prescription Opioid Use on Pregnancy OutcomesR01DA044293 · NIDA · BRIGHAM AND WOMEN'S HOSPITAL · PI BATEMAN, BRIAN THOMAS · 2017 to 2020
$2.1M
Pregnancy Registries Nested in International Pooled Health Care DatabasesR21HD092879 · NICHD · HARVARD SCHOOL OF PUBLIC HEALTH · PI HERNANDEZ-DIAZ, SONIA · 2017 to 2018
$478k
NICHD NIH HHS R21 HD092879NICHD NIH HHS R21HD092879-01NICHD NIH HHS T32 HD104612NIDA NIH HHS R01 DA044293NIDA NIH HHS R01DA044293-01A1NIMH NIH HHS R01 MH116194NIMH NIH HHS R01MH116194-01
6 · The paper itself

Abstract

purposeBecause preapproval clinical trials typically exclude pregnant women, the evidence on drug safety during pregnancy required to inform drug labeling must come from postapproval controlled observational studies. Common designs have included pregnancy registries and case-control studies. Recently, pregnancy cohorts nested within healthcare utilization databases are increasingly being used. Despite clear advantages, these databases share some important limitations that may threaten the validity of studies emerging from them.

methodsThis paper describes the distinctive methodological aspects of conducting drug safety studies in healthcare utilization databases with special emphasis on design and analytic approaches to minimize biases.

resultsWe describe considerations for study design, cohort definition, and follow-up. We then address issues related to exposure ascertainment based on prescription fills, including the importance of the etiologically relevant window and of properly accounting for preterm births. This is followed by a discussion of advantages and challenges when ascertaining maternal and infant outcomes based on secondary data. We then explore useful approaches to address confounding within the context of pregnancy research and of the potential for selection bias when restricting the cohort to live births. Finally, we consider issues related to external validity and statistical significance. The examples are mainly drawn from a pregnancy cohort nested in the Medicaid Analytic Extract.

conclusionsThe approaches presented provide guidance regarding the important methodological considerations that need to be attended to in order to generate valid, minimally biased risk when using large healthcare utilization databases for drug safety surveillance in pregnancy.

Indexed as

Databases, FactualData MiningPatient Acceptance of Health CarePrenatal CareCase-Control StudiesCohort StudiesFemaleHumansMedicaidPharmacoepidemiologyPregnancyPrescription DrugsProduct Surveillance, PostmarketingUnited StatesPrescription Drugsdrug safetyguidancehealthcare utilizationpharmacoepidemiologypregnancy

Identifiers

PMID31074570
PMCPMC6823105

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.