Evidence map›Paper›PMID 33542406›Full record

SynthesisScientific reports2021

A systematic review and meta-analysis on the clinical implications of probability discounting among individuals with Internet gaming disorder.

Weilun Chung, Cheuk-Kwan Sun, I-Ting Tsai, Kuo-Chuan Hung, Hsien-Jane Chiu, Ruu-Fen Tzang, Pin-Yang Yeh, Yu-Shian Cheng

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 5% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

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

8 authors at 6 institutions in 1 country.

Weilun Chung *Department of Psychiatry, Tsyr-Huey Mental Hospital, Kaohsiung Jen-Ai's Home, No. 509, Fengping 1st Rd., Houzhuang Vil., Daliao Dist., Kaohsiung City, 831, Taiwan.
Cheuk-Kwan Sun *Department of Emergency Medicine, E-Da Hospital, Kaohsiung, Taiwan.
I-Ting TsaiDepartment of Emergency Medicine, E-Da Hospital, Kaohsiung, Taiwan.
Kuo-Chuan HungDepartment of Anesthesiology, Chi Mei Medical Center, Tainan, Taiwan.
Hsien-Jane ChiuTaoyuan Psychiatric Center, Ministry of Health and Welfare, Taoyuan City, Taiwan.
Ruu-Fen TzangDepartment of Psychiatry, Mackay Memorial Hospital, Taipei, Taiwan.
Pin-Yang YehDepartment of Psychology, College of Medical and Health Science, Asia University, No. 500, Lioufeng Rd., Wufeng, Taichung, 41354, Taiwan. PsyYPY@asia.edu.tw.
Yu-Shian ChengDepartment of Psychiatry, Tsyr-Huey Mental Hospital, Kaohsiung Jen-Ai's Home, No. 509, Fengping 1st Rd., Houzhuang Vil., Daliao Dist., Kaohsiung City, 831, Taiwan. n043283@gmail.com.
E-Da Hospital · TWAsia University · TWChia Nan University of Pharmacy and Science · TWMackay Memorial Hospital · TWNational Sun Yat-sen University · TWNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The significance of probability discounting (PD) among individuals with Internet gaming disorder (IGD) remains unclear. Following the PRISMA guidelines, we systematically searched the PubMed, Embase, and ScienceDirect databases for English articles on Internet addiction that included comparison between individuals with and without IGD as well as probabilistic discounting task as the main outcome from January 1970 to July 2020 using the appropriate keyword strings. The primary outcome was the overall difference in rate of PD, while the secondary outcomes included the difference in PD with magnitude of probabilistic reward and response time of the PD task. Effect size (ES) was calculated through dividing the group means (e.g., h value or AUC) by the pooled standard deviations of the two groups. A total of five studies with 300 participants (i.e., IGD group, n = 150, mean age = 20.27 ± 2.68; healthy controls, n = 150, mean age = 20.70 ± 2.81) were analyzed. The IGD group was more willing to take risks in probabilistic gains but performances on probabilistic losses were similar between the two groups. The IGD group also exhibited a shorter response time (Hedge's g = - 0.51; 95%CI = - 0.87 to - 0.15). Meta-regression demonstrated a positive correlation between maximum reward magnitude and PD rate (p < 0.04). However, significant publication bias was noted among the included studies (Egger's test, p < 0.01). In conclusion, individuals with IGD seemed more impulsive in making risky decisions, especially when the potential gains were expected. Our findings not only supported the use of PD for assessing individuals with IGD but may also provide new insights into appropriate interventions.

Indexed as

Decision MakingDelay DiscountingImpulsive BehaviorAdolescentCase-Control StudiesFemaleHumansInternetInternet Addiction DisorderMaleProbabilityReaction TimeRewardVideo GamesYoung Adult

Identifiers

PMID33542406
PMCPMC7862357
OpenAlexW3127718072

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.