Evidence map›Paper›PMID 33367719›Full record

ArticleInternational journal of epidemiology2021

Educational note: addressing special cases of bias that frequently occur in perinatal epidemiology.

Andreas M Neophytou, Marianthi-Anna Kioumourtzoglou, Dana E Goin, Kristin C Darwin, Joan A Casey

Open access · bronzeAbstract read
In one paragraph

Article in International journal of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 2 pooled it
7.6field-weighted citation impact, top 2% of its field
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

57 citing papers in PubMed, 2 syntheses or guidelines pooled it, 92 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
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  6. Article
  7. Racialized Economic Segregation and Disparities in the Risk of Stillbirth.Journal of racial and ethnic health disparities · 2026
    Article
  8. Article
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  11. Review
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  16. Association of PMPaediatric and perinatal epidemiology · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors at 4 institutions in 1 country.

Andreas M NeophytouDepartment of Environmental & Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA.
Marianthi-Anna KioumourtzoglouDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
Dana E GoinProgram on Reproductive Health and the Environment, Department of Obstetrics, Gynecology, and Reproductive Sciences, School of Medicine, University of California, San Francisco, CA, USA.
Kristin C DarwinDepartment of Gynecology and Obstetrics, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Joan A CaseyDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
Columbia University · USColorado State University · USJohns Hopkins University · USUniversity of California, San Francisco · US

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
Air Pollution and Pregnancy LossR01ES029943 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DEYSSENROTH, MAYA ARIANE, KIOUMOURTZOGLOU, MARIANTHI-ANNA · 2020 to 2024
$2.5M
Air pollution exposures and children's health: mediation and interaction in a counterfactual frameworkR00ES027511 · NIEHS · COLORADO STATE UNIVERSITY · PI NEOPHYTOU, ANDREAS · 2019 to 2022
$747k
The Impact of Unconventional Natural Gas Development on Maternal, Perinatal, and Childhood Health: an Electronic Health Record ApproachR00ES027023 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CASEY, JOAN A · 2019 to 2021
$747k
NIEHS NIH HHS P30 ES000002NIEHS NIH HHS P30 ES009089NIEHS NIH HHS R00 ES027023NIEHS NIH HHS R00 ES027511NIEHS NIH HHS R01 ES029943
6 · The paper itself

Abstract

The epidemiologic study of pregnancy and birth outcomes may be hindered by several unique and challenging issues. Pregnancy is a time-limited period in which severe cohort attrition takes place between conception and birth and adverse outcomes are complex and multi-factorial. Biases span those familiar to epidemiologists: selection, confounding and information biases. Specific challenges include conditioning on potential intermediates, how to treat race/ethnicity, and influential windows of prolonged, seasonal and potentially time-varying exposures. Researchers studying perinatal outcomes should be cognizant of the potential pitfalls due to these factors and address their implications with respect to formulating questions of interest, choice of an appropriate analysis approach and interpretations of findings given assumptions. In this article, we catalogue some of the more important potential sources of bias in perinatal epidemiology that have more recently gained attention in the literature, provide the epidemiologic context behind each issue and propose practices for dealing with each issue to the extent possible.

Indexed as

BiasCohort StudiesEpidemiologic StudiesFemaleHumansPregnancyTime Factorsconditioning on intermediatesfixed cohort biasimmortal time biasPerinatal epidemiologyselection bias

Identifiers

PMID33367719
PMCPMC8453403
OpenAlexW3116800366

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.