Evidence map›Paper›PMID 42821507›Full record

ArticleInternational journal of epidemiology2026

Not always towards the null: reconsidering the direction of overadjustment bias.

Frerik Smit, Farzaneh Boroumand, Peter W G Tennant, Kylie-Ann Mallitt, Arnaud Chiolero, Anita van Zwieten, Saman Khalatbari-Soltani

Abstract read
In one paragraph

Article in International journal of epidemiology, 2026. 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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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Frerik SmitPopulation Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland.ORCID 0009-0007-6034-2300
Farzaneh BoroumandSchool of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.ORCID 0000-0003-2972-3969
Peter W G TennantLeeds Institute for Data Analytics, University of Leeds, Leeds, United Kingdom.
Kylie-Ann MallittSchool of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
Arnaud ChioleroPopulation Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland.ORCID 0000-0002-5544-8510
Anita van ZwietenSchool of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.ORCID 0000-0003-4564-5825
Saman Khalatbari-SoltaniPopulation Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland.ORCID 0000-0001-8437-1906

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Overadjustment bias occurs when adjusting for a variable increases rather than decreases bias. It commonly arises in studies estimating the total causal effect of an exposure on an outcome due to inappropriate adjustment for a mediator. While such inappropriate mediator adjustment can lead to bias in any direction (towards the null, away from the null, or reverse the direction of effect) even in the absence of other relevant unadjusted variables, this type of overadjustment bias is often described as acting towards the null. Using directed acyclic graphs and a simulated example of adjustment for smoking when estimating the total causal effect of education on the risk of breast cancer, we explain how inappropriately adjusting for a mediator can lead to overadjustment bias in any direction. Correspondingly, we provide general guidance to predict the likely direction of overadjustment bias based on the direction of effect of the relevant paths involved. In general, this bias will be away from the null or in the reverse direction when the mediated pathway being closed by inappropriate adjustment acts in the opposite direction to the combined effect of all remaining pathways between the exposure and the outcome. In contrast, this bias will be towards the null when the effects of these paths act in the same direction.

Indexed as

CausalityBiasBreast NeoplasmsFemaleHumansSmokingbiascausal inferencecollider stratification biasconfoundingcovariate adjustmentdirected acyclic graphsindirect effectsoveradjustment bias

Identifiers

PMID42821507
PMCPMC13629551

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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.