Evidence map›Paper›PMID 37302673›Full record

ArticleAnnals of epidemiology2023

Prepregnancy obesity and risk of placental inflammation at term: a selection bias analysis.

Alexander J Layden, Marnie Bertolet, W Tony Parks, Jennifer J Adibi, James M Roberts, Janet M Catov

Abstract read
In one paragraph

Article in Annals of epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Developmental origins of immunometabolic health.Immunometabolism (Cobham, Surrey) · 2026
    Review
  4. Article
  5. Article
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

6 authors.

Alexander J LaydenDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA. Electronic address: ajl117@pitt.edu.
Marnie BertoletDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA; Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA; Clinical and Translational Sciences Institute, University of Pittsburgh, Pittsburgh, PA.
W Tony ParksDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, CA.
Jennifer J AdibiDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA; Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA.
James M RobertsDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA; Clinical and Translational Sciences Institute, University of Pittsburgh, Pittsburgh, PA; Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA; Magee-Womens Research Institute, Pittsburgh, PA.
Janet M CatovDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA; Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA; Magee-Womens Research Institute, Pittsburgh, PA.

Funding

TRAINING PROGRAM FOR MD/PHD STUDENTST32GM008208 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STEINMAN, RICHARD A · 1987 to 2021
$15.4M
NRSA Training CoreTL1TR001858 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RADOMSKI, THOMAS, RUBIO, DORIS M · 2016 to 2025
$11.1M
American Heart Association-American Stroke Association 16SFRN27810001American Heart Association-American Stroke Association 18SCG34350001-CATOVNCATS NIH HHS TL1 TR001858NIGMS NIH HHS T32 GM008208
6 · The paper itself

Abstract

purposePlacental histopathology is a resource for investigating obesity-associated pregnancy conditions. However, studies oversample adverse pregnancies, biasing findings. We examine the association between prepregnancy obesity (risk factor for inflammation) and histologic placental inflammation (correlated with impaired infant neurodevelopment) and how selection bias may influence the association.

methodsSingleton term deliveries between 2008 and 2012 from the Magee Obstetric Maternal and Infant database were analyzed. Prepregnancy body mass index (BMI) was categorized as underweight, lean (referent), overweight, and obese. Outcomes were diagnoses of acute (acute chorioamnionitis and fetal inflammation) and chronic placental inflammation (chronic villitis). Risk ratios for associations between BMI and placental inflammation were estimated using selection bias approaches: complete case, exclusion of pregnancy complications, multiple imputation, and inverse probability weighting. E-values approximated how susceptible estimates were to residual selection bias.

resultsAcross methods, obesity was associated with an 8-15% lower risk of acute chorioamnionitis, a 7%-14% lower risk of acute fetal inflammation, and a 12%-30% higher risk of chronic villitis relative to lean women. E-values indicated modest residual selection bias could explain away associations, though few measured indications of placental evaluations met this threshold.

conclusionsObesity may contribute to placental inflammation, and we highlight robust methods to analyze clinical data susceptible to selection bias.

Indexed as

ChorioamnionitisPlacentaBody Mass IndexFemaleHumansInflammationObesityPregnancySelection BiasChorioamnionitisInflammationMaternalObesityPathologyPlacentaSelection bias

Identifiers

PMID37302673
PMCPMC10546767

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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.