Evidence map›Paper›PMID 27739626›Full record

Trial reportEuropean journal of pain (London, England)2017

Applying causal mediation methods to clinical trial data: What can we learn about why our interventions (don't) work?

R Whittle, G Mansell, P Jellema, D van der Windt

2 registry-linked trialsOpen access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in European journal of pain (London, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
8.3field-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.

NCT06813495 narecruitingnot on this mapstarted 2023, after this paper: background citation

Prevention of Injuries Among Nurses and Nursing Aides Using Eastern Principles Acceptance and Commitment Therapy: Clinical Trial and Dissemination Research

TypeinterventionalSponsorBowling Green State UniversityRan2023 to 2026Enrolled255ConditionsWell-Being, Psychological, Work Injury, Musculoskeletal Pain, High Frequency Heart Rate VariabilityArmsEastern Principles Acceptance and Commitment Therapy for Nurses and Nursing Aids (EPACT NNA), Acceptance and Commitment Therapy for Nurses and Nursing Aids (ACT NNA)
NCT06991673 naenrolling by invitationnot on this mapstarted 2025, after this paper: background citation

Adolescent Surgery Roadmap Feasibility and Acceptability Study

TypeinterventionalSponsorUniversity of MichiganRan2025 to 2029Enrolled100ConditionsPediatric Surgical ProceduresArmsBehavioral Treatment
3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

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  4. Statins Do Not Significantly Affect Oxidative Nitrosative Stress Biomarkers in the PREVENT Randomized Clinical Trial.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
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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

4 authors at 2 institutions in 2 countries.

R WhittleResearch Institute for Primary Care & Health Sciences, Keele University, Staffordshire, UK.
G MansellResearch Institute for Primary Care & Health Sciences, Keele University, Staffordshire, UK.
P JellemaDepartment of Paediatric Oncology, Emma Children's Hospital, Academic Medical Center, Amsterdam, The Netherlands.
D van der WindtResearch Institute for Primary Care & Health Sciences, Keele University, Staffordshire, UK.
Keele University · GBAcademic Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany randomized controlled trials (RCTs) of psychosocial interventions for low back pain (LBP) have been found to have only small effects on disability outcomes. Investigations of the specific mechanisms that may lead to an improvement in outcome have therefore been called for.

methodsWe present an application of the causal inference approach to mediation analysis using the example of a cluster RCT in a primary care population with (sub)acute LBP randomized to either usual GP care (n = 171) or a minimal psychosocial intervention (n = 143). Mediation analysis explored the causal pathway between treatment allocation and disability at 3 months by considering pain catastrophizing, fear-avoidance beliefs, distress and receiving and following advice as potential mediators, all measured at 6 weeks. We have attempted to explain this approach to mediation analysis in a step-by-step manner to help clinical researchers apply this method more easily.

resultsIn unadjusted mediation analyses, fear-avoidance beliefs were identified as a mediator of treatment on disability, with an indirect effect of -0.30 (95% CI: -0.86, -0.03), although this relationship was found to be non-significant after adjusting for age, gender and baseline scores. This finding supports the trial authors' hypothesis that while fear-avoidance beliefs are important, this intervention may not have targeted them strongly enough to lead to change.

conclusionThe use of mediation analysis to identify what factors may be part of the causal pathway between intervention and outcome, regardless of whether the intervention was successful, can provide useful information and insight into how to improve future interventions. SIGNIFICANCE: This study presents a step-by-step approach to mediation analysis using the causal inference framework to investigate why a psychosocial intervention for LBP was unsuccessful. Fear-avoidance beliefs were found to mediate the relationship between treatment and disability, although not when controlling for baseline scores.

Indexed as

AdultCatastrophizationDisability EvaluationFearFemaleHumansLearningLow Back PainMaleMiddle AgedModels, PsychologicalPersons with Disabilities

Identifiers

PMID27739626
PMCPMC5396132
OpenAlexW2530325851

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.