Evidence map›Paper›PMID 40407221›Full record

ArticleAmerican journal of epidemiology2025

Obtaining a probability sample of a pregnancy cohort of births: a review of the problem and a practical solution.

Michael R Elliott, Jean M Kerver, Alexa Drew, Kaitlyn Watson, Breanna Kornatowski, Gwendolyn S Norman, Glenn E Copeland, Eva Leissou, Terri Ridenour, Shonda Kruger-Ndiaye and 7 more

Erratum issuedAbstract read
In one paragraph

Article in American journal of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Allostatic Load, Neighborhood Disadvantage, and Birth Outcomes.Journal of racial and ethnic health disparities · 2026
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Michael R ElliottDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, United States.
Jean M KerverDepartment of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI 48824, United States.
Alexa DrewDepartment of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI 48824, United States.
Kaitlyn WatsonDepartment of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI 48824, United States.
Breanna KornatowskiDepartment of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI 48824, United States.
Gwendolyn S NormanDepartment of Obstetrics and Gynecology, School of Medicine, Wayne State University, Detroit, MI 48201, United States.
Glenn E CopelandMichigan Department of Health and Human Services, State of Michigan, Lansing, MI 48909, United States.
Eva LeissouInstitute for Social Research, University of Michigan, Ann Arbor, MI 48109, United States.
Terri RidenourInstitute for Social Research, University of Michigan, Ann Arbor, MI 48109, United States.
Shonda Kruger-NdiayeInstitute for Social Research, University of Michigan, Ann Arbor, MI 48109, United States.
Tengfei MaDepartment of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI 48824, United States.
Douglas RudenDepartment of Obstetrics and Gynecology, School of Medicine, Wayne State University, Detroit, MI 48201, United States.
Charles BaroneHenry Ford Health, Detroit, MI 48202, United States.
Daniel P KeatingInstitute for Social Research, University of Michigan, Ann Arbor, MI 48109, United States.
Robert J SokolDepartment of Obstetrics and Gynecology, School of Medicine, Wayne State University, Detroit, MI 48201, United States.
Christine C JohnsonDepartment of Obstetrics, Gynecology, and Reproductive Biology, College of Human Medicine, Michigan State University, East Lansing, MI 48824, United States.
Nigel PanethDepartment of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI 48824, United States.

Funding

The Effect of Dog-Keeping and the Intestinal Microbiota on Immune DevelopmentP01AI089473 · NIAID · HENRY FORD HEALTH SYSTEM · PI LUKACS, NICHOLAS W · 2012 to 2024
$25.7M
Understanding Breastfeeding Practices Among ECHO Cohort Participants Before and During/After the COVID-19 PandemicUH3OD023285 · OD · MICHIGAN STATE UNIVERSITY · PI Charles James Barone, MICHAEL R. ELLIOTT · 2018 to 2026
$24.5M
Prenatal Exposures and Child Health Outcomes: A Statewide StudyUG3OD023285 · OD · MICHIGAN STATE UNIVERSITY · PI BARONE, CHARLES JAMES, ELLIOTT, MICHAEL R. · 2016 to 2024
$12.9M
Pilot Project ProgramP30ES020957 · NIEHS · WAYNE STATE UNIVERSITY · PI RUNGE-MORRIS, MELISSA A · 2014 to 2021
$10.1M
Epidemiology of multimorbid pediatric atopic and airway diseases and the impact of prenatal maternal environmental exposures and placental epigeneticsUG3OD035518 · OD · HENRY FORD HEALTH SYSTEM · PI EAPEN, AMY, JOHNSON, CHRISTINE C · 2023 to 2024
$1.7M
NIAID NIH HHS P01 AI089473NIEHS NIH HHS P30 ES020957NIH HHS UG3 OD023285NIH HHS UG3 OD035518NIH HHS UH3OD023285
6 · The paper itself

Abstract

The Michigan Archive for Research on Child Health study produced a probability sample of Michigan births between 2017 and 2023, with data collection beginning at first prenatal visit and continuing up to age 4. Birth certificate data were used to create a sampling frame of hospitals and associated obstetric clinics, from which a probability-proportional-size sample of 10 hospitals was drawn. Close to 100 pregnancies were then recruited in clinics serving each sampled hospital, yielding a probability sample of 1021 births. This sample was supplemented with 109 births from a certainty selection of a Flint, MI hospital, for a total sample of 1130. The resulting response rate was high, with 100% of sampled hospitals and 65% of sampled clinics participating. Comparing the resulting sample with all 2017-2023 Michigan births showed close correspondence with respect to birth outcomes (birthweight, gestational age, Apgar scores, gestational diabetes) and mothers' demographics (age, race, education, marital status), with underrepresentation of Hispanic ethnicity and overrepresentation of reported smoking. Given the recent failures of two major prospective birth cohorts (the US National Childrens' Study and the UK Life Study), our work shows a way forward for representative pre- and post-natal studies of births.

Indexed as

Birth CohortPregnancy OutcomeAdultBirth CertificatesBirth WeightFemaleGestational AgeHumansInfant, NewbornMichiganPregnancyProbabilitybirth certificatesMichigan Archive for Research on Child Healthprobability-proportional-to-sizeprospective studysampling weights

Identifiers

PMID40407221
PMCPMC12799598

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.