Evidence map›Paper›PMID 39327907›Full record

ArticleHealth psychology review2025

How to develop causal directed acyclic graphs for observational health research: a scoping review.

Louise Poppe, Johan Steen, Wen Wei Loh, Geert Crombez, Fien De Block, Noortje Jacobs, Peter W G Tennant, Jelle Van Cauwenberg, Annick L De Paepe

Abstract readScoping Review
In one paragraph

Article in Health psychology review, 2025. 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.

  1. Pooled it
  2. Pooled it
  3. An exploration of the relationship between perceived injustice and pain severity in breast cancer survivors: a structural equation model.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
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  16. Composite variable bias: causal analysis of weight outcomes.International journal of obesity (2005) · 2025
    Article
  17. Observational
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

9 authors.

Louise PoppeDepartment of Public Health and Primary Care, Ghent University, Ghent, Belgium.ORCID 0000-0001-9285-6962
Johan SteenDepartment of Internal Medicine and Pediatrics, Ghent University, Ghent, Belgium.ORCID 0000-0002-5968-6401
Wen Wei LohDepartment of Methodology and Statistics, Maastricht University, Maastricht, The Netherlands.ORCID 0000-0001-7086-7281
Geert CrombezDepartment of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium.ORCID 0000-0002-4744-8561
Fien De BlockDepartment of Public Health and Primary Care, Ghent University, Ghent, Belgium.ORCID 0000-0003-0422-7897
Noortje JacobsDepartment of Public Health and Primary Care, Ghent University, Ghent, Belgium.ORCID 0000-0003-0030-8024
Peter W G TennantLeeds Institute for Data Analytics, University of Leeds, Leeds, UK.ORCID 0000-0003-1555-069X
Jelle Van CauwenbergDepartment of Public Health and Primary Care, Ghent University, Ghent, Belgium.ORCID 0000-0003-1292-6241
Annick L De PaepeDepartment of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium.ORCID 0000-0002-9366-3692

Funding

Medical Research Council MR/W002388/1
6 · The paper itself

Abstract

Causal directed acyclic graphs (DAGs) serve as intuitive tools to visually represent causal relationships between variables. While they find widespread use in guiding study design, data collection and statistical analysis, their adoption remains relatively rare in the domain of psychology. In this paper we describe the relevance of DAGs for health psychology, review guidelines for developing causal DAGs, and offer recommendations for their development. A scoping review searching for papers and resources describing guidelines for DAG development was conducted. Information extracted from the eligible papers and resources (

Indexed as

CausalityObservational Studies as TopicResearch DesignData Interpretation, StatisticalHumanscausal diagramcausal inferencedevelopmentDirected acyclic graphguidelinesrecommendations

Identifiers

PMID39327907
PMCPMC11875439

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.