Evidence map›Paper›PMID 40653622›Full record

ArticleBJPsych open2025

Predictors of high- and low-risk drinking after group treatment for alcohol use disorder.

Kristoffer Høiland, Espen Kristian Ajo Arnevik, Lien My Diep, Tove Mathisen, Anette Søgaard Nielsen, Jens Egeland

Erratum issuedAbstract read
In one paragraph

Article in BJPsych open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Kristoffer HøilandDepartment of Addiction Treatment, Vestfold Hospital Trust, Tonsberg, Norway.ORCID https://orcid.org/0009-0003-8546-2692
Espen Kristian Ajo ArnevikDepartment of Psychology, University of Oslo, Norway.
Lien My DiepOslo Center for Biostatistics and Epidemiology, Research Support Services, Oslo University Hospital, Oslo, Norway.
Tove MathisenBlue Cross Clinic Skien, Skien, Norway.
Anette Søgaard NielsenPsychiatric Research Unit, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.
Jens EgelandDepartment of Addiction Treatment, Vestfold Hospital Trust, Tonsberg, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding the factors influencing alcohol use disorder (AUD) treatment outcomes is essential. More knowledge about patient characteristics that predict treatment outcomes can help personalise interventions, improve treatment planning and address the needs of specific subgroups. The frequency of treatment attendance may also affect drinking outcomes after treatment. Despite research efforts, uncertainty remains about how patient factors and treatment attendance influence treatment outcomes.

aimsTo examine how patient factors and treatment attendance predict high- or low-risk drinking at the end of treatment.

methodWe used data (

resultsIndividuals with a higher percentage of treatment attendance (odds ratio 0.96 [95% CI 0.93, 0.96]) and with greater responsiblity scores on the Severity Indices of Personality Functioning (odds ratio 0.30 [95% CI 0.14, 0.64]) had a decreased likelihood of high-risk drinking at treatment end. Substance use, psychological distress and cognitive functioning were not associated with drinking levels at the end of treatment.

conclusionA higher percentage of treatment attendance has a minor effect on drinking levels. Being more responsible, as reflected in higher scores on the responsibility domain, reduces the likelihood of high-risk drinking at the end of treatment. Clinicians are encouraged to screen and assess personality functioning when planning treatment for individuals with AUD.

Indexed as

Alcohol use disorderoutcomespatient factorspredictorstreatment

Identifiers

PMID40653622
PMCPMC12303829

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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.