Evidence map›Paper›PMID 28515192›Full record

ArticleBMJ open2017

Study protocol for a transversal study to develop a screening model for excessive gambling behaviours on a representative sample of users of French authorised gambling websites.

Bastien Perrot, Jean-Benoit Hardouin, Jean-Michel Costes, Julie Caillon, Marie Grall-Bronnec, Gaëlle Challet-Bouju

Registry-linked trialAbstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02415296 (Screening for Excessive Gambling Behaviors on the Internet), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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.

NCT02415296 completednot on this map

Screening for Excessive Gambling Behaviors on the Internet (EDEIN Study). Study of the Database of French Online Gambling Sites.

TypeobservationalSponsorNantes University HospitalRan2015 to 2020Enrolled213ConditionsGambling, PathologicalArmsstage 1, stage 2, stage 3
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Observational
  4. 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

6 authors.

Bastien PerrotUniversité de Nantes, Université de Tours, INSERM, SPHERE U1246, Nantes, France.ORCID [1], [1], [1], [1]
Jean-Benoit HardouinUniversité de Nantes, Université de Tours, INSERM, SPHERE U1246, Nantes, France.
Jean-Michel CostesObservatoire des jeux, Ministère des Finances, Paris, France.ORCID [2]
Julie CaillonUniversité de Nantes, Université de Tours, INSERM, SPHERE U1246, Nantes, France.ORCID [3]
Marie Grall-BronnecUniversité de Nantes, Université de Tours, INSERM, SPHERE U1246, Nantes, France.
Gaëlle Challet-BoujuUniversité de Nantes, Université de Tours, INSERM, SPHERE U1246, Nantes, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSince the legalisation of online gambling in France in 2010, gambling operators must implement responsible gambling measures to prevent excessive gambling practices. However, actually there is no screening procedure for identifying problematic gamblers. Although several studies have already been performed using several data sets from online gambling operators, the authors deplored several methodological and clinical limits that prevent scientifically validating the existence of problematic gambling behaviour. The aim of this study is to develop a model for screening excessive gambling practices based on the gambling behaviours observed on French gambling websites, coupled with a clinical validation. METHODS AND ANALYSIS: The research is divided into three successive stages. All analyses will be performed for each major type of authorised online gambling in France. The first stage aims at defining a typology of users of French authorised gambling websites based on their gambling behaviour. This analysis will be based on data from the Authority for Regulating Online Gambling (ARJEL) and the Française Des Jeux (FDJ). For the second stage aiming at determining a score to predict whether a gambler is problematic or not, we will cross answers from the Canadian Problem Gambling Index with real gambling data. The objective of the third stage is to clinically validate the score previously developed. Results from the screening model will be compared (using sensitivity, specificity, area under the curve, and positive and negative predictive values) with the diagnosis obtained with a telephone clinical interview, including diagnostic criteria for gambling addiction. ETHICS AND DISSEMINATION: This study was approved by the local Research Ethics Committee (GNEDS) on 25 March 2015. Results will be presented in national and international conferences, submitted to peer-reviewed journals and will be part of a PhD thesis. A final report with the study results will be presented to the ARJEL, especially the final screening model. TRIAL REGISTRATION NUMBER: NCT02415296.

Indexed as

InternetModels, StatisticalBehavior, AddictiveFranceGamblingHumansResearch DesignSurveys and Questionnairesclassificationlatent class modelOnline gamblingpredictive model.preventionproblem gambling

Identifiers

PMID28515192
PMCPMC5623395

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LicenceCC BY-NC
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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.