Evidence map›Paper›PMID 40033412›Full record

ArticleAnnals of general psychiatry2025

A multicenter cross-sectional study of gambling disorder among patients with methamphetamine use disorder in drug rehabilitation centers: prevalence, correlates, and network analysis.

Pu Peng, Yuzhu Hao, Xiaojie Zhang, Yuejiao Ma, Xuebing Liu, Danlin Shen, Wenwen Shen, Bin Zhao, Dongxiao Li, Sarah E Beck and 5 more

Abstract read
In one paragraph

Article in Annals of general psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. 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

15 authors.

Pu Peng *Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Yuzhu Hao *Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
Xiaojie ZhangDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
Yuejiao MaDepartment of Child Psychiatry of Shenzhen Kangning Hospital, Shenzhen Mental Health Center, School of Mental Health, Shenzhen University, Shenzhen, China.
Xuebing LiuNinth Clinical School, Tongji Medical College, Wuhan Mental Health Center, Huazhong University of Science and Technology, Wuhan, China.
Danlin ShenMental Health Center, West China Hospital, Sichuan University, Chengdu, China.
Wenwen ShenLaboratory of Behavioral Neuroscience, Ningbo Kangning Hospital, Ningbo Institute of Microcirculation and Henbane, School of Medicine, Ningbo University, Ningbo, Zhejiang, China.
Bin ZhaoXinxiang Key Laboratory for Forensic Toxicology, School of Forensic Medicine, Xinxiang Medical University, Jinsui Road No. 601, Xinxiang, 453003, Henan Province, China.
Dongxiao LiPingtang Compulsory Isolation Detoxification Institute in Hunan Province, Changsha, Hunan, China.
Sarah E BeckDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Yaira Z NunezDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Marc N PotenzaDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Joel GelernterDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Tieqiao LiuDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China. liutieqiao123@csu.edu.cn.
Bao-Zhu YangDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA. bao-zhu.yang@yale.edu.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Methamphetamine and Other Substance Use Disorder Genetics in ThailandR01DA037974 · NIDA · YALE UNIVERSITY · PI JOEL GELERNTER, Marc N Potenza · 2015 to 2026
$6.7M
HIV Complex Causal Modeling: Gut Microbiome, Drug Use, and Immune ResponsesR21DA061372 · NIDA · YALE UNIVERSITY · PI MA, SHUANGGE, YANG, BAO-ZHU · 2024 to 2025
$360k
Genetic Causality of Alcohol Intake and Alcohol Use Disorder on Cancer RiskR21CA252916 · NCI · YALE UNIVERSITY · PI ZHOU, HANG · 2021 to 2022
$334k
NCATS NIH HHS UL1 TR001863NCI NIH HHS R21 CA252916NIDA NIH HHS R01 DA037974NIDA NIH HHS R21 DA061372the National Institutes of Health/NCI VA-NCPTSDthe National Institutes of Health/NIDA 2R01DA037974the Provincial Natural Science Foundation of Hunan 2020JJ4795
6 · The paper itself

Abstract

backgroundThis study sought to investigate the prevalence, correlates, and network structure of the manifested symptoms in gambling disorder (GD) among methamphetamine (MA) use disorder (MUD) patients in China.

methodsWe interviewed 1069 patients using the Semi-Structured Assessment for Drug Dependence and Alcoholism (SSADDA), Chinese version. Besides MA and other substance use disorders, GD was also ascertained by SSADDA. Other psychiatric diagnoses were ascertained, including major depressive episodes (MDEs), antisocial personality disorder, suicide and self-harm, and environmental factors, including childhood experiences.

resultsOf 1069 participants, 711 met the DSM-5 diagnostic criteria for MUD. Among the 711 participants with MUD, 52.3% met DSM-5 diagnostic criteria for GD. We found that alcohol use together with MA, childhood violent experiences, MDEs, severe MUD, and gambling duration significantly differed between MUD participants with and without GD. In the GD-MUD network, the central symptoms were gambling preoccupation (GD1), giving up important activities (MUD6), financial trouble (GD9), and MA tolerance (MUD5). MA tolerance (MUD5) also served as a bridge symptom across the network, exhibiting substantial associations with gambling preoccupation (GD1).

conclusionGD is prevalent among individuals in treatment for MUD in China. Network analysis suggests that gambling preoccupation and MA tolerance represent central features, and that MA tolerance serves as a bridge across GD and MUD.

Indexed as

Addictive behaviorsAntisocial personality disorderGambling disorderMajor depressive episodeMethamphetamine use disorderNetwork analysis

Identifiers

PMID40033412
PMCPMC11877697

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Registered trials

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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.