Evidence map›Paper›PMID 35678905›Full record

ArticleJournal of gambling studies2023

Open Science Practices in Gambling Research Publications (2016-2019): A Scoping Review.

Eric R Louderback, Sally M Gainsbury, Robert M Heirene, Karen Amichia, Alessandra Grossman, Bo J Bernhard, Debi A LaPlante

Abstract readScoping Review
In one paragraph

Article in Journal of gambling studies, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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.

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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. 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

7 authors.

Eric R LouderbackDivision on Addiction, Cambridge Health Alliance, a Harvard Medical School Teaching Hospital, Malden, MA, USA.ORCID http://orcid.org/0000-0002-9754-9790
Sally M GainsburyUniversity of Sydney, Sydney, Australia. sally.gainsbury@sydney.edu.au.ORCID https://orcid.org/0000-0002-9641-5838
Robert M HeireneUniversity of Sydney, Sydney, Australia.ORCID https://orcid.org/0000-0002-5508-7102
Karen AmichiaDivision on Addiction, Cambridge Health Alliance, a Harvard Medical School Teaching Hospital, Malden, MA, USA.
Alessandra GrossmanDivision on Addiction, Cambridge Health Alliance, a Harvard Medical School Teaching Hospital, Malden, MA, USA.
Bo J BernhardInternational Gaming Institute, University of Nevada, Las Vegas, NV, USA.
Debi A LaPlanteDivision on Addiction, Cambridge Health Alliance, a Harvard Medical School Teaching Hospital, Malden, MA, USA.ORCID https://orcid.org/0000-0001-5418-5504

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The replication crisis has stimulated researchers around the world to adopt open science research practices intended to reduce publication bias and improve research quality. Open science practices include study pre-registration, open data, open access, and avoiding methods that can lead to publication bias and low replication rates. Although gambling studies uses similar research methods as behavioral research fields that have struggled with replication, we know little about the uptake of open science research practices in gambling-focused research. We conducted a scoping review of 500 recent (1/1/2016-12/1/2019) studies focused on gambling and problem gambling to examine the use of open science and transparent research practices. Our results showed that a small percentage of studies used most practices: whereas 54.6% (95% CI: [50.2, 58.9]) of studies used at least one of nine open science practices, each practice's prevalence was: 1.6% for pre-registration (95% CI: [0.8, 3.1]), 3.2% for open data (95% CI: [2.0, 5.1]), 0% for open notebook, 35.2% for open access (95% CI: [31.1, 39.5]), 7.8% for open materials (95% CI: [5.8, 10.5]), 1.4% for open code (95% CI: [0.7, 2.9]), and 15.0% for preprint posting (95% CI: [12.1, 18.4]). In all, 6.4% (95% CI: [4.6, 8.9]) of the studies included a power analysis and 2.4% (95% CI: [1.4, 4.2]) were replication studies. Exploratory analyses showed that studies that used any open science practice, and open access in particular, had higher citation counts. We suggest several practical ways to enhance the uptake of open science principles and practices both within gambling studies and in science more generally.

Indexed as

GamblingHumansResearch DesignGamblingGambling disorderOpen science practicesPre-registrationProblem gamblingScoping review

Identifiers

PMID35678905
PMCPMC9178323

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.