Evidence map›Paper›PMID 39054751›Full record

ArticleSchizophrenia bulletin2025

Timeframe for Conversion to Psychosis From Individuals at Clinical High-Risk: A Quantile Regression.

TianHong Zhang, YanYan Wei, XiaoChen Tang, LiHua Xu, YeGang Hu, HaiChun Liu, ZiXuan Wang, Tao Chen, ChunBo Li, JiJun Wang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Schizophrenia bulletin, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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

10 authors.

TianHong ZhangDepartment of Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai 200030, PR China.ORCID 0000-0002-5379-7119
YanYan WeiDepartment of Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai 200030, PR China.
XiaoChen TangDepartment of Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai 200030, PR China.
LiHua XuDepartment of Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai 200030, PR China.
YeGang HuDepartment of Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai 200030, PR China.
HaiChun LiuDepartment of Automation, Shanghai Jiao Tong University, Shanghai 200240, PR China.
ZiXuan WangDepartment of Psychology, Shanghai Xinlianxin Psychological Counseling Center, Shanghai, PR China.
Tao ChenDepartment of Big Data Research Lab, University of Waterloo, Ontario, Canada.
ChunBo LiDepartment of Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai 200030, PR China.
JiJun WangDepartment of Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai Engineering Research Center of Intelligent Psychological Evaluation and Intervention, Shanghai 200030, PR China.

Funding

Clinical Research Plan of SHDC SHDC12022113Clinical Research Plan of SHDC SHDC2022CRD026Ministry of Science and Technology of China, National Key R&D Program of China 2023YFC2506800National Natural Science Foundation of China 82101582National Natural Science Foundation of China 82101623National Natural Science Foundation of China 82151314National Natural Science Foundation of China 82171544National Natural Science Foundation of China 82371505
6 · The paper itself

Abstract

background and hypothesisThe time taken for an individual who is at the clinical high-risk (CHR) stage to transition to full-blown psychosis may vary from months to years. This temporal aspect, known as the timeframe for conversion to psychosis (TCP), is a crucial but relatively underexplored dimension of psychosis development. STUDY

designThe sample consisted of 145 individuals with CHR who completed a 5-year follow-up with a confirmed transition to psychosis within this period. Clinical variables along with functional variables such as the Global Assessment of Function (GAF) score at baseline (GAF baseline) and GAF-drop from the highest score in the past year. The TCP was defined as the duration from CHR identification to psychosis conversion. Participants were categorized into 3 groups based on TCP: "short" (≤6 months, ≤33.3%), "median" (7-17 months, 33.3%-66.6%), and "long" (≥18 months, ≥66.6%). The quantile regression analysis was applied. STUDY

resultsThe overall sample had a median TCP of 11 months. Significant differences among the three TCP groups were observed, particularly in GAF-drop (χ2 = 8.806, P = .012), disorganized symptoms (χ2 = 7.071, P = .029), and general symptoms (χ2 = 6.586, P = .037). Greater disorganized symptoms (odds ratio [OR] = 0.824, P = .009) and GAF-drop (OR = 0.867, P = .011) were significantly associated with a shorter TCP, whereas greater general symptoms (OR = 1.198, P = .012) predicted a longer TCP. Quantile regression analysis demonstrated a positive association between TCP and GAF baseline above the 0.7 quantile and a negative association between TCP rank and GAF drop below the 0.5 quantile.

conclusionsThis study underscores the pivotal role of functional characteristics in shaping TCP among individuals with CHR, emphasizing the necessity for a comprehensive consideration of temporal aspects in early prevention efforts.

Indexed as

Disease ProgressionProdromal SymptomsPsychotic DisordersSchizophreniaAdolescentAdultFemaleFollow-Up StudiesHumansMaleRiskTime FactorsYoung Adultpsychotic disordersrating scalesrisk assessmentschizophreniatransition

Identifiers

PMID39054751
PMCPMC12236329

What OpenQuestion holds

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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.