Evidence map›Paper›PMID 31443729›Full record

ArticleTrials2019

Investigating causal mechanisms in randomised controlled trials.

Hopin Lee, Robert D Herbert, Sarah E Lamb, Anne M Moseley, James H McAuley

Open access · goldAbstract read
In one paragraph

Article in Trials, 2019. 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
5.8field-weighted citation impact, top 3% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.

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  4. Mechanisms of change in a randomized control pilot study of partner-involved financial incentive treatments for dual-smoking couples.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2025
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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 at 3 institutions in 2 countries.

Hopin LeeCentre for Statistics in Medicine, Rehabilitation Research in Oxford, Nuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK. hopin.lee@ndorms.ox.ac.uk.ORCID http://orcid.org/0000-0001-5692-0314
Robert D HerbertNeuroscience Research Australia (NeuRA), Sydney, NSW, Australia.
Sarah E LambCentre for Statistics in Medicine, Rehabilitation Research in Oxford, Nuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
Anne M MoseleyInstitute for Musculoskeletal Health, School of Public Health, University of Sydney, Sydney, NSW, Australia.
James H McAuleyNeuroscience Research Australia (NeuRA), Sydney, NSW, Australia.
Nuffield Orthopaedic Centre · GBUNSW Sydney · AUThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn some randomised trials, the primary interest is in the mechanisms by which an intervention exerts its effects on health outcomes. That is, clinicians and policy-makers may be interested in how the intervention works (or why it does not work) through hypothesised causal mechanisms. In this article, we highlight the value of understanding causal mechanisms in randomised trials by applying causal mediation analysis to two randomised trials of complex interventions. MAIN BODY: In the first example, we examine a potential mechanism by which an exercise programme for rheumatoid arthritis of the hand could improve hand function. In the second example, we explore why a rehabilitation programme for ankle fractures failed to improve lower-limb function through hypothesised mechanisms. We outline critical assumptions that are required for making valid causal inferences from these analyses, and provide results of sensitivity analyses that are used to assess the degree to which the estimated causal mediation effects could have been biased by residual confounding.

conclusionThis paper demonstrates how the application of causal mediation analyses to randomised trials can identify the mechanisms by which complex interventions exert their effects. We discuss methodological issues and assumptions that should be considered when mediation analyses of randomised trials are used to inform clinical practice and policy decisions.

Indexed as

Endpoint DeterminationResearch DesignAnkle FracturesArthritis, RheumatoidCausalityData Interpretation, StatisticalExercise TherapyFracture HealingHand JointsHumansRandomized Controlled Trials as TopicRecovery of FunctionTreatment OutcomeAnkle fracturesCausal inferenceComplex interventionsExercise therapyMechanismMediation analysisMusculoskeletal systemRheumatoid arthritis

Identifiers

PMID31443729
PMCPMC6708183
OpenAlexW2969484204

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.