Evidence map›Paper›PMID 42596951›Full record

ArticlePregnancy (Hoboken, N.J.)2025

Investigating and quantifying selection bias in research using placental pathology samples.

Renee Odom-Konja, Alexa Freedman, Erica Price, Lauren Keenan-Devlin, Gregory E Miller, Ann E B Borders, Linda M Ernst

Abstract read
In one paragraph

Article in Pregnancy (Hoboken, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Renee Odom-KonjaDepartment of Obstetrics and Gynecology Endeavor Health Evanston Illinois USA.
Alexa FreedmanDepartment of Preventive Medicine Northwestern University Feinberg School of Medicine Chicago Illinois USA.
Erica PriceDepartment of Pathology and Laboratory Medicine Endeavor Health Evanston Illinois USA.
Lauren Keenan-DevlinDepartment of Obstetrics and Gynecology Endeavor Health Evanston Illinois USA.
Gregory E MillerDepartment of Psychology Foundations of Health Research Center Northwestern University Evanston Illinois USA.
Ann E B BordersDepartment of Obstetrics and Gynecology Endeavor Health Evanston Illinois USA.
Linda M ErnstDepartment of Pathology and Laboratory Medicine Endeavor Health Evanston Illinois USA.

Funding

Understanding socioeconomic disparities in perinatal risk: The role of epigenetic and transcriptional regulation in the placentaR01MD011749 · NIMHD · NORTHWESTERN UNIVERSITY · PI BORDERS, ANN E.B., MILLER, GREGORY EVAN · 2017 to 2021
$3.9M
NIMHD NIH HHS R01 MD011749
6 · The paper itself

Abstract

Introduction: Increasing research interest has focused on placental pathology and pregnancy outcomes. Placental pathology examinations that are requested by the delivering provider are often used for research due to convenience, potentially introducing selection bias. We leveraged a large cohort of prospectively collected and examined placentas to compare prevalences of placental pathology and to quantify potential selection bias. Methods: All placentas were prospectively collected from participants and pathology examinations were completed in the Stress, Pregnancy, and Health (SPAH) study, regardless of delivering provider request. In all cases, placental pathology was categorized and graded into four major groups: acute inflammation (AI), chronic inflammation (CI), fetal vascular malperfusion (FVM), and maternal vascular malperfusion (MVM). We compared the distribution of placental pathology in cases with and without pathology examination requests. Odds ratios (OR) for preterm birth (PTB) and small for gestational age (SGA) infants were calculated in the whole cohort and compared with the requested subset. Relative odds ratios (ROR) were used to quantify the magnitude of selection bias. Models were adjusted for sociodemographic and pregnancy characteristics. Results: A total of 575 placentas were collected and examined, 287 with delivering provider examination request and 288 without request. The prevalence of AI, CI, and FVM was similar among the two groups. However, the prevalence of MVM was significantly higher in the requested placentas, particularly for high-grade MVM (15% vs. 8%, Conclusions: MVM was the only placental pathology seen more frequently in the delivering provider requested sample. Our RORs quantify differences in the associations, providing an estimate for the potential impact of selection bias. Research using a convenience sample of requested placentas may modestly overestimate associations, though the overall findings and interpretation of associations remain unchanged.

Indexed as

adverse pregnancy outcomesindications for placental examinationmaternal vascular malperfusionplacentaselection bias

Identifiers

PMID42596951
PMCPMC13344559

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LicenceCC BY-NC-ND
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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.