Evidence map›Paper›PMID 28974265›Full record

Trial reportTrials2017

Effectiveness of two web-based cognitive bias modification interventions targeting approach and attentional bias in gambling problems: study protocol for a pilot randomised controlled trial.

Marilisa Boffo, Ronny Willemen, Thomas Pronk, Reinout W Wiers, Geert Dom

Open access · goldAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Trials, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 6% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. A Scoping Review of Cognitive Bias in Internet Addiction and Internet Gaming Disorders.International journal of environmental research and public health · 2020
    Article
  5. 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

5 authors at 2 institutions in 2 countries.

Marilisa BoffoAddiction Development and Psychopathology (ADAPT) lab, Department of Psychology, University of Amsterdam, Amsterdam, Netherlands. m.boffo@uva.nl.ORCID http://orcid.org/0000-0003-4730-7838
Ronny WillemenCollaborative Antwerp Psychiatric Research Institute (CAPRI), Antwerp University (UA), Wilrijk, Belgium.
Thomas PronkAddiction Development and Psychopathology (ADAPT) lab, Department of Psychology, University of Amsterdam, Amsterdam, Netherlands.
Reinout W WiersAddiction Development and Psychopathology (ADAPT) lab, Department of Psychology, University of Amsterdam, Amsterdam, Netherlands.
Geert DomCollaborative Antwerp Psychiatric Research Institute (CAPRI), Antwerp University (UA), Wilrijk, Belgium.
University of Antwerp · BEUniversity of Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDisordered gamblers have phenotypical and pathological similarities to those with substance use disorders (SUD), including exaggerated automatic cognitive processing of motivationally salient gambling cues in the environment (i.e., attentional and approach bias). Cognitive bias modification (CBM) is a family of computerised interventions that have proved effective in successfully re-training these automatic cognitive biases in SUD. CBM interventions can, in principle, be administered online, thus showing potential of being a low-cost, low-threshold addition to conventional treatments. This paper presents the design of a pilot randomised controlled trial exploring the effectiveness of two web-based CBM interventions targeting attentional and approach bias towards gambling cues in a sample of Dutch and Belgian problematic and pathological gamblers. METHODS/

designParticipants (N = 182) are community-recruited adults experiencing gambling problems, who have gambled at least twice in the past 6 months and are motivated to change their gambling behaviour. After a baseline assessment session, participants are randomly assigned to one of four experimental conditions (attentional or approach bias training, or the placebo version of the two trainings) and complete six sessions of training. At baseline and before each training session, participants receive automated personalised feedback on their gambling motives and reasons to quit or reduce gambling. The post-intervention, 1-month, and 3-month follow-up assessments will examine changes in gambling behaviour, with frequency and expenditure as primary outcomes, and depressive symptoms and gambling-related attentional and approach biases as secondary outcomes. Secondary analyses will explore possible moderators (interference control capacity and trait impulsivity) and mediators (change in cognitive bias) of training effects on the primary outcomes. DISCUSSION: This study is the first to explore the effectiveness of an online CBM intervention for gambling problems. The results of this study can be extremely valuable for developing e-health interventions for gambling problems and further understanding the role of motivational implicit cognitive processes underlying problematic gambling behaviour.

trial registrationNetherlands Trial Register, NTR5096 . Registered on 11 March 2015.

Indexed as

Attentional BiasBehavior, AddictiveBelgiumCognitive Behavioral TherapyCuesDouble-Blind MethodGamblingHumansMotivationNetherlandsPilot ProjectsResearch DesignTelemedicineTherapy, Computer-AssistedTime FactorsTreatment OutcomeAddictionApproach biasAttentional biasCognitive bias modificatione-healthGamblingRandomised controlled trial

Identifiers

PMID28974265
PMCPMC5627491
OpenAlexW2762134072

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.