Evidence map›Paper›PMID 40167168›Full record

SynthesisEpidemiology (Cambridge, Mass.)2025

The Same but Different?: A Systematic Review of the Impact of Selection and Collider Bias on Internal Validity.

Natalie S Levy, Katrina L Kezios

Abstract readSystematic Review
In one paragraph

Synthesis in Epidemiology (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

2 authors.

Natalie S LevyFrom the Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY.ORCID 0000-0002-6828-8237
Katrina L KeziosFrom the Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY.

Funding

Investigating financial wellbeing, biological aging, and risk of Alzheimers disease and related dementias in a life course synthetic cohortK99AG084769 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KEZIOS, KATRINA L · 2024 to 2025
$263k
NIA NIH HHS K99 AG084769
6 · The paper itself

Abstract

backgroundRecent work conceptually unifying selection and collider-restriction bias as threats to internal validity implies that their impact on observed associations should similarly align. We reviewed epidemiologic literature to summarize existing knowledge about the impact of selection and collider bias.

methodsWe systematically searched for peer-reviewed, methodologic articles and general epidemiology textbooks published in English from 1 January 2000 to 12 July 2024. We included sources that focused on internal validity and discussed the magnitude or direction of selection or collider bias. We abstracted conclusions about the likely magnitude and direction of bias, which stratum or strata are affected when restricting analyses to a subset, and the conditions under which the consequences of bias were evaluated.

resultsWe retained 33 of 5508 identified articles and 12 of 205 textbooks for data abstraction. Overall, we found that collider bias articles conveyed its impact as minimal while selection bias sources described variable effects. We also observed that most collider bias sources evaluated bias under the sharp null (assuming no relationship between the exposure and outcome) and found differences between how selection and collider bias sources discussed the role of interaction and the strata affected.

conclusionsAlthough collider-restriction and selection bias affecting internal validity are considered theoretically equivalent, conclusions differ about their consequences for study results. Investigating collider bias not under the sharp null and considering the role of both multiplicative and additive interaction between the causes of a collider may improve our ability to predict and quantify its impact on internal validity.

Indexed as

BiasSelection BiasReproducibility of ResultsCausal inferenceCollider biasInternal validitySelection biasSystematic review

Identifiers

PMID40167168
PMCPMC12122217

What OpenQuestion holds

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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.