Evidence map›Paper›PMID 33419269›Full record

ArticleToxics2020

The Confounder-Mediator Dilemma: Should We Control for Obesity to Estimate the Effect of Perfluoroalkyl Substances on Health Outcomes?

Kosuke Inoue, Atsushi Goto, Takehiro Sugiyama, Cecilia Høst Ramlau-Hansen, Zeyan Liew

Abstract read
In one paragraph

Article in Toxics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

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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.

Kosuke InoueDepartment of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA 90095, USA.
Atsushi GotoDepartment of Health Data Science, Graduate School of Data Science, Yokohama City University, Yokohama 236-0027, Japan.
Takehiro SugiyamaDiabetes and Metabolism Information Center, National Center for Global Health and Medicine, Research Institute, Tokyo 162-8655, Japan.ORCID 0000-0001-5391-682X
Cecilia Høst Ramlau-HansenResearch Unit for Epidemiology, Department of Public Health, Aarhus University, 8000 Aarhus, Denmark.
Zeyan LiewDepartment of Environmental Health Sciences, Yale School of Public Health, New Haven, CT 06510, USA.

Funding

Neurodevelopmental Effects of Perfluorinated ChemicalsR00ES026729 · NIEHS · YALE UNIVERSITY · PI LIEW, ZEYAN · 2018 to 2020
$742k
Effects of Chronic Kidney Disease on Cardiovascular Disease and Dementia Among People with Diabetes: Causal Modeling with Machine Learning ApproachF99DK126119 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI INOUE, KOSUKE · 2020 to 2020
$34k
NIDDK NIH HHS F99 DK126119NIDDK NIH HHS F99DK126119NIEHS NIH HHS R00 ES026729
6 · The paper itself

Abstract

Confounding adjustment is important for observational studies to derive valid effect estimates for inference. Despite the theoretical advancement of confounding selection procedure, it is often challenging to distinguish between confounders and mediators due to the lack of information about the time-ordering and latency of each variable in the data. This is also the case for the studies of perfluoroalkyl substances (PFAS), a group of synthetic chemicals used in industry and consumer products that are persistent and have endocrine-disrupting properties on health outcomes. In this article, we used directed acyclic graphs to describe potential biases introduced by adjusting for or stratifying by the measure of obesity as an intermediate variable in PFAS exposure analyses. We compared results with or without adjusting for body mass index in two cross-sectional data analyses: (1) PFAS levels and maternal thyroid function during early pregnancy using the Danish National Birth Cohort and (2) PFAS levels and cardiovascular disease in adults using the National Health and Nutrition Examination Survey. In these examples, we showed that the potential heterogeneity observed in stratified analyses by overweight or obese status needs to be interpreted cautiously considering collider stratification bias. This article highlights the complexity of seemingly simple adjustment or stratification analyses, and the need for careful consideration of the confounding and/or mediating role of obesity in PFAS studies.

Indexed as

body mass indexconfounderDanish National Birth CohortmediatorNational Health and Nutrition Examination Surveyperfluoroalkyl substances

Identifiers

PMID33419269
PMCPMC7766757

What OpenQuestion holds

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Registered trials

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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.