Evidence map›Paper›PMID 32777921›Full record

ArticlePsychiatry investigation2020

Diagnostic Usefulness of an Ultra-Brief Screener to Identify Risk of Online Gaming Disorder for Children and Adolescents.

Sun-Jin Jo, Hyunsuk Jeong, Hye Jung Son, Hae Kook Lee, Seung-Yup Lee, Yong-Sil Kweon, Hyeon Woo Yim

Abstract read
In one paragraph

Article in Psychiatry investigation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

7 authors.

Sun-Jin JoDeptartment of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Hyunsuk JeongDeptartment of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Hye Jung SonDepartment of Mental Health Research, National Center for Mental Health, Seoul, Republic of Korea.
Hae Kook LeeDepartment of Psychiatry, The Catholic University of Korea, Uijeongbu St. Mary's Hospital, Uijeongbu, Republic of Korea.
Seung-Yup LeeDepartment of Psychiatry, The Catholic University of Korea, Eunpyeong St. Mary's Hospital, Seoul, Republic of Korea.
Yong-Sil KweonDepartment of Psychiatry, The Catholic University of Korea, Uijeongbu St. Mary's Hospital, Uijeongbu, Republic of Korea.
Hyeon Woo YimDeptartment of Preventive Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

Funding

Ministry of Health and Welfare HL19C0048
6 · The paper itself

Abstract

objectiveThis study examined the diagnostic validity of a three-item ultra-brief screening tool for online gaming disorder in line with the gaming disorder criteria in the International Classification of Diseases 11th Revision.

methodsThe Three-item Gaming disorder Test-Online-Centered (TIGTOC) was composed of three items using a four-point Likert scale selected from the Internet Game Use-Elicited Symptom Screen (IGUESS). Among a cohort of 2319 young-adolescent Internet users, the baseline data of 228 healthy controls and 45 Internet-gaming-disorder cases were analyzed. Receiver operation characteristic (ROC) analysis was performed using mental health specialists' diagnoses as the gold standard.

resultsThe ROC curve analysis showed an area under the curve of 86%. Using a cut-off score of 4 from a full range of 0-9, the sensitivity, specificity, and Cronbach's α were 72%, 90%, and 0.811, respectively. TIGTOC scores was positively associated with time spent on online gaming, depressive symptoms, attention-deficit/hyperactivity disorder symptoms, and addictive Internet use.

conclusionThe TIGTOC appears to be a brief, valid, and reliable screening tool for online gaming disorder within the community or in primary care settings.

Indexed as

AdolescentGameOnlineScreeningValidity

Identifiers

PMID32777921
PMCPMC7449830

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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.