Evidence map›Paper›PMID 29768436›Full record

SynthesisPloS one2018

The effectiveness of various computer-based interventions for patients with chronic pain or functional somatic syndromes: A systematic review and meta-analysis.

Miel A P Vugts, Margot C W Joosen, Jessica E van der Geer, Aglaia M E E Zedlitz, Hubertus J M Vrijhoef

2 registry-linked trialsAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2018. 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 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 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.

NCT04814992 nacompletednot on this mapstarted 2020, after this paper: background citation

Pre-op CBT to Reduce the Risk for Development of Chronic Post-surgical Pain in Patients Undergoing Total Knee Arthroplasty

TypeinterventionalSponsorUniversity of PennsylvaniaRan2020 to 2023Enrolled54ConditionsChronic Post-Surgical PainArmsComputer-Assisted Preoperative CBT Intervention (PAINTrainer)
NCT07270588 narecruitingnot on this mapstarted 2025, after this paper: background citation

MOBACT: An Internet-Based Guided Self-Help Intervention Based on Acceptance and Commitment Therapy for Chronic Pain

TypeinterventionalSponsorCatholic University of the Sacred HeartRan2025 to 2027Enrolled140ConditionsChronic PainArmsInternet-based intervention
3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Miel A P VugtsTranzo Scientific Center for Care and Welfare, Tilburg School of Social and Behavioral Sciences, Tilburg University, Tilburg, the Netherlands.ORCID 0000-0001-5367-9334
Margot C W JoosenTranzo Scientific Center for Care and Welfare, Tilburg School of Social and Behavioral Sciences, Tilburg University, Tilburg, the Netherlands.
Jessica E van der GeerDepartment of Health Medical and Neuropsychology, Leiden University, Leiden, the Netherlands.
Aglaia M E E ZedlitzDepartment of Health Medical and Neuropsychology, Leiden University, Leiden, the Netherlands.
Hubertus J M VrijhoefDepartment of Patient & Care, Maastricht University Medical Center, Maastricht, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computer-based interventions target improvement of physical and emotional functioning in patients with chronic pain and functional somatic syndromes. However, it is unclear to what extent which interventions work and for whom. This systematic review and meta-analysis (registered at PROSPERO, 2016: CRD42016050839) assesses efficacy relative to passive and active control conditions, and explores patient and intervention factors. Controlled studies were identified from MEDLINE, EMBASE, PsychInfo, Web of Science, and Cochrane Library. Pooled standardized mean differences by comparison type, and somatic symptom, health-related quality of life, functional interference, catastrophizing, and depression outcomes were calculated at post-treatment and at 6 or more months follow-up. Risk of bias was assessed. Sub-group analyses were performed by patient and intervention characteristics when heterogeneous outcomes were observed. Maximally, 30 out of 46 eligible studies and 3,387 participants were included per meta-analysis. Mostly, internet-based cognitive behavioral therapies were identified. Significantly higher patient reported outcomes were found in comparisons with passive control groups (standardized mean differences ranged between -.41 and -.18), but not in comparisons with active control groups (SMD = -.26 - -.14). For some outcomes, significant heterogeneity related to patient and intervention characteristics. To conclude, there is a minority of good quality evidence for small positive average effects of computer-based (cognitive) behavior change interventions, similar to traditional modes. These effects may be sustainable. Indications were found as of which interventions work better or more consistently across outcomes for which patients. Future process analyses are recommended in the aim of better understanding individual chances of clinically relevant outcomes.

Indexed as

Chronic PainCognitive Behavioral TherapyFemaleHumansMaleMedically Unexplained SymptomsSyndromeTherapy, Computer-AssistedTreatment Outcome

Identifiers

PMID29768436
PMCPMC5955495

What OpenQuestion holds

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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.