Evidence map›Paper›PMID 32528331›Full record

ArticleFrontiers in psychiatry2020

Clarification of the Cut-off Score for Nine-Item Internet Gaming Disorder Scale-Short Form (IGDS9-SF) in a Chinese Context.

Lixia Qin, Limei Cheng, Maorong Hu, Qiaosheng Liu, Jianqin Tong, Wei Hao, Tao Luo, Yanhui Liao

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05917977 (A Randomized Controlled Study of Collective Motivational Interviewing), which is not on this map. Cited by 63 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 1 pooled it
20.7field-weighted citation impact, top 1% 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.

NCT05917977 naactive not recruitingnot on this mapstarted 2023, after this paper: background citation

A Randomized Controlled Study of Collective Motivational Interviewing (CMI) for Adolescents With Internet Gaming Disorder

TypeinterventionalSponsorHong Kong College of TechnologyRan2023 to 2026Enrolled172ConditionsInternet Gaming DisorderArmsCollective Motivational Interviewing plus Education Materials, Control group (Education Materials)
3 · Its place in the literature

Who cites it

63 citing papers in PubMed, 1 synthesis or guideline pooled it, 112 citations in OpenAlex.

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3 more citing papers are in PubMed but not listed here.

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

8 authors at 6 institutions in 1 country.

Lixia QinDepartment of Psychology, Hospital of Tsinghua University, Beijing, China.
Limei ChengDepartment of Psychology, Yingtan People's Hospital, Yingtan, China.
Maorong HuDepartment of Psychiatry, the First Affiliated Hospital of Nanchang University, Nanchang, China.
Qiaosheng LiuDepartment of Psychology, Jiangxi Mental Hospital of Nangchang University, Nanchang, China.
Jianqin TongDepartment of Psychology, Yingtan People's Hospital, Yingtan, China.
Wei HaoDepartment of Psychiatry, the Second Xiangya Hospital, Central South University, Changsha, China.
Tao LuoDepartment of Psychology, Jiangxi Mental Hospital of Nangchang University, Nanchang, China.
Yanhui LiaoDepartment of Psychiatry, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Jiangxi Mental Health Center · CNYingkou Institute of Technology · CNBeijing Hua Xin Hospital · CNNanchang University · CNSecond Xiangya Hospital of Central South University · CNSir Run Run Shaw Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe nine-item Internet Gaming Disorder Scale-Short-Form (IGDS9-SF) is a self-reported screening measure based on the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) criteria. It has been used to assesses symptoms and prevalence of Internet Gaming Disorder (IGD) in general population. Despite its widespread use, there is confusion arising from the recommended cutoff score for a positive diagnosis. This study aimed to identify the appropriate cutoff score for IGDS9-SF in a Chinese context.

methodsThe present study included a sample from clinical settings (n = 131) and another from universities (n = 3742). IGDS9-SF measurement and structured clinical interviews based on DSM-5 criteria for IGD were conducted in the sample from clinical settings. The cutoff score was determined using the receiver operating characteristics (ROC) curve. The validity of this cutoff score was further assessed in a sample from universities.

resultsMathematical models suggest that the score of 32 is the optimal cutoff point (Youden's index, 96.2%; diagnostic accuracy, 96.1%; sensitivity, 98.0%; specificity, 91.9%; NPV, 91.9%; and NPY, 100%). The prevalence of IGD is 2.9% in this study.

conclusionThis study suggested that the optimal cutoff score of IGDS9-SF is 32 for the positive diagnosis of IGD in a Chinese context.

Indexed as

clinical settingscutoff scoreInternet gaming disorderInternet Gaming Disorder Scale–Short-Formuniversities

Identifiers

PMID32528331
PMCPMC7262730
OpenAlexW3029065648

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LicenceCC BY
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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.