Evidence map›Paper›PMID 35067833›Full record

ArticleJournal of gambling studies2022

Using "Markers of Harm" to Track Risky Gambling in Two Cohorts of Online Sports Bettors.

William H B McAuliffe, Eric R Louderback, Timothy C Edson, Debi A LaPlante, Sarah E Nelson

Abstract read
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In one paragraph

Article in Journal of gambling studies, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Sports betting around the world: A systematic review.Journal of behavioral addictions · 2022
    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 at 1 institution in 1 country.

William H B McAuliffeDivision On Addiction, Cambridge Health Alliance, 350 Main Street, Malden, MA, 02148, USA. williamhbmcauliffe@gmail.com.ORCID http://orcid.org/0000-0002-7680-1686
Eric R LouderbackDivision On Addiction, Cambridge Health Alliance, 350 Main Street, Malden, MA, 02148, USA.
Timothy C EdsonDivision On Addiction, Cambridge Health Alliance, 350 Main Street, Malden, MA, 02148, USA.
Debi A LaPlanteDivision On Addiction, Cambridge Health Alliance, 350 Main Street, Malden, MA, 02148, USA.
Sarah E NelsonDivision On Addiction, Cambridge Health Alliance, 350 Main Street, Malden, MA, 02148, USA.
Cambridge Health Alliance · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Online gambling poses novel risks for problem gambling, but also unique opportunities to detect and intervene with at-risk users. A consortium of gambling companies recently committed to using nine behavioral "Markers of Harm'' that can be calculated with online user data to estimate risk for gambling-related harm. The current study evaluates these markers in two independent samples of sports bettors, collected ten years apart. We find over a two-year period that most users never had high enough overall risk scores to indicate that they would have received an intervention. This observation is partly due to characteristics of our samples that are associated with lower risk for gambling-related harm, but might also be due to overly high risk thresholds or flaws in the design of some markers. Users with higher average risk scores had more intraindividual variability in risk scores. Younger age and male gender were not associated with higher average risk scores. The most active users were more likely than other users to have ever exceeded risk thresholds. Several risk scores significantly predicted proxies of gambling-related harm (e.g., account closure). Overall, the current Markers of Harm system has some correctable limitations that future risk detection systems should consider adopting.

Indexed as

GamblingSportsHumansMaleRisk FactorsGamblingOnline gamblingRisk algorithmValidity

Identifiers

PMID35067833
OpenAlexW4206958974

What OpenQuestion holds

Textmetadata
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.