{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T22:09:39Z","timestamp":1793398179728,"version":"4.5.0"},"reference-count":47,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2024,7,25]],"date-time":"2024-07-25T00:00:00Z","timestamp":1721865600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"name":"Ministry of Science and Technology of China, National Key R&D Program of China","award":["2023YFC2506800"],"award-info":[{"award-number":["2023YFC2506800"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82171544"],"award-info":[{"award-number":["82171544"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82371505"],"award-info":[{"award-number":["82371505"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82151314"],"award-info":[{"award-number":["82151314"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82101623"],"award-info":[{"award-number":["82101623"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82101582"],"award-info":[{"award-number":["82101582"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Clinical Research Plan of SHDC","award":["SHDC2022CRD026"],"award-info":[{"award-number":["SHDC2022CRD026"]}]},{"name":"Clinical Research Plan of SHDC","award":["SHDC12022113"],"award-info":[{"award-number":["SHDC12022113"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,7,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Background and Hypothesis<\/jats:title>\n                  <jats:p>The 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.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Study Design<\/jats:title>\n                  <jats:p>The 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: \u201cshort\u201d (\u22646 months, \u226433.3%), \u201cmedian\u201d (7\u201317 months, 33.3%\u201366.6%), and \u201clong\u201d (\u226518 months, \u226566.6%). The quantile regression analysis was applied.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Study Results<\/jats:title>\n                  <jats:p>The overall sample had a median TCP of 11 months. Significant differences among the three TCP groups were observed, particularly in GAF-drop (\u03c72\u2005=\u20058.806, P\u2005=\u2005.012), disorganized symptoms (\u03c72\u2005=\u20057.071, P\u2005=\u2005.029), and general symptoms (\u03c72\u2005=\u20056.586, P\u2005=\u2005.037). Greater disorganized symptoms (odds ratio [OR]\u2005=\u20050.824, P\u2005=\u2005.009) and GAF-drop (OR\u2005=\u20050.867, P\u2005=\u2005.011) were significantly associated with a shorter TCP, whereas greater general symptoms (OR\u2005=\u20051.198, P\u2005=\u2005.012) 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.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>This 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.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/schbul\/sbae129","type":"journal-article","created":{"date-parts":[[2024,7,26]],"date-time":"2024-07-26T09:26:44Z","timestamp":1721986004000},"page":"1030-1041","source":"Crossref","is-referenced-by-count":4,"title":["Timeframe for Conversion to Psychosis From Individuals at Clinical High-Risk: A Quantile 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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 ,","place":["PR China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"HaiChun","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Automation, Shanghai Jiao Tong University , Shanghai 200240 ,","place":["PR China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"ZiXuan","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Psychology, Shanghai Xinlianxin Psychological Counseling Center , Shanghai ,","place":["PR China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tao","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Big Data Research Lab, University of Waterloo , Ontario ,","place":["Canada"]},{"name":"Department of Labor and 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