Evidence map›Paper›PMID 32075821›Full record

ArticleBMJ open2020

Problem and non-problem gamblers: a cross-sectional clustering study by gambling characteristics.

Morgane Guillou Landreat, Isabelle Chereau Boudet, Bastien Perrot, Lucia Romo, Irene Codina, David Magalon, Melina Fatseas, Amandine Luquiens, Georges Brousse, Gaëlle Challet-Bouju and 2 more

Registry-linked trialAbstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01207674 (Transversal Multiaxial Evaluation and 5-year Follow-up of a Cohort of French Gamblers.), which is not on this map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 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.

NCT01207674 nacompletednot on this map

Transversal Multiaxial Evaluation and 5-year Follow-up of a Cohort of French Gamblers.

TypeinterventionalSponsorNantes University HospitalRan2009 to 2016Enrolled641ConditionsPathological or "at Risk" GamblingArmsSummons of patients and filling questionnaire
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Observational
  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

12 authors.

Morgane Guillou LandreatEA 7479 SPURBO, Universite de Bretagne Occidentale, Brest, France.ORCID 0000-0003-1568-9480
Isabelle Chereau BoudetAddictology and Psychiatry Department, CHU Clermont Ferrand, Clermont Ferrand, France.
Bastien PerrotUMR 1246 SPHERE, Université de Nantes, Nantes, France.
Lucia RomoEA 4430 CLIPSYD 'clinique psychiatrique developpement', Universite Paris-Nanterre, Nanterre, France.
Irene CodinaAddictive disorders Unit Marmottan, GPS Perray-Vaucluse, Épinay-sur-Orge, France.
David MagalonDepartment of Adult Psychiatry, Hopital Sainte-Marguerite, Marseille, France.
Melina FatseasPsychiatric Laboratory SANPSY USR 3413, University of Bordeaux, Talence, France.
Amandine LuquiensPsychiatry and Addictology Department, Hôpital Paul Brousse, APHP Villejuif, Villejuif cedex, France.ORCID 0000-0002-9402-442X
Georges BroussePsychiatry and Addictology, CHU Clermont Ferrand, Clermont Ferrand, UK.
Gaëlle Challet-BoujuAddictology, University Hospital of Nantes, Nantes, France.
Marie Grall-BronnecAddictology and Psychiatry Department, University Hospital of Nantes, Nantes, France marie.bronnec@chu-nantes.fr.
JEU-Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesGambling characteristics are factors that could influence problem gambling development. The aim of this study was to identify a typology of gamblers to frame risky behaviour based on gambling characteristics (age of initiation/of problem gambling, type of gambling: pure chance/chance with pseudoskills/chance with elements of skill, gambling online/offline, amount wagered monthly) and to investigate clinical factors associated with these different profiles in a large representative sample of gamblers. DESIGN AND

settingThe study is a cross-sectional analysis to the baseline data of the french JEU cohort study (study protocol : Challet-Bouju

participantsThe participants were 628 gamblers : 256 non-problem gamblers (NPG), 169 problem gamblers without treatment (PGWT) and 203 problem gamblers seeking treatment (PGST).

resultsSix clustering models were tested, the one with three clusters displayed a lower classification error rate (7.92%) and was better suited to clinical interpretation : 'Early Onset and Short Course' (47.5%), 'Early Onset and Long Course' (35%) and 'Late Onset and Short Course' (17.5%). Gambling characteristics differed significantly between the three clusters.

conclusionsWe defined clusters through the analysis of gambling variables, easy to identify, by psychiatrists or by physicians in primary care. Simple screening concerning these gambling characteristics could be constructed to prevent and to help PG identification. It is important to consider gambling characteristics : policy measures targeting gambling characteristics may reduce the risk of PG or minimise harm from gambling. TRIAL REGISTRATION NUMBER: NCT01207674 (ClinicalTrials.gov); Results.

Indexed as

Behavior, AddictiveGamblingSeverity of Illness IndexAdolescentAdultAgedAge of OnsetCluster AnalysisCohort StudiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedRisk-TakingYoung Adultaddictionaddictive behaviorsgamblersgambling disorderlong term course

Identifiers

PMID32075821
PMCPMC7044887

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.