The Utility of Negative Symptoms in Predicting Transition to Psychosis Among Individuals at Clinical High Risk

Our findings reinforce the importance of negative symptoms in predicting psychosis in CHR-P youth. The data support consideration of negative symptoms in predictive algorithms for enhancing early recognition and treatment strategies.

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Publication Details

Journal
Schizophrenia Bulletin
Published
2025-12-11
DOI
https://doi.org/10.1093/schbul/sbaf244
Primary Topic
Schizophrenia research and treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

The Utility of Negative Symptoms in Predicting Transition to Psychosis Among Individuals at Clinical High Risk

Danielle McLaughlin, R. Carrión, Ming T. Tsuang, Mitchell Arnovitz et al.
Schizophrenia Bulletin
Schizophrenia research and treatment
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The Utility of Negative Symptoms in Predicting Transition to Psychosis Among Individuals at Clinical High Risk

Danielle McLaughlin, R. Carrión, Ming T. Tsuang, Mitchell Arnovitz, Andrea M. Auther, Jean Addington, Carrie E Bearden, Barbara A Cornblatt, Daniel H Mathalon, William S Stone, Scott W Woods, Kristin S Cadenhead, Elaine F Walker, Tyrone D Cannon, Matcheri Keshavan, John M Kane, Diana O Perkins
article en

Abstract

Our findings reinforce the importance of negative symptoms in predicting psychosis in CHR-P youth. The data support consideration of negative symptoms in predictive algorithms for enhancing early recognition and treatment strategies.

Schizophrenia BulletinVol. 52(2)
University of North Carolina at Chapel Hill (US), Northwell Health (US), Beth Israel Deaconess Medical Center (US), Feinstein Institute for Medical Research (US), Emory University (US), University of California, Los Angeles (US), University of Calgary (CA), University of California, San Francisco (US), Yale University (US), University of California San Diego (US), Neurobehavioral Systems (US), Donald & Barbara Zucker School of Medicine at Hofstra/Northwell (US), North Shore Diabetes and Endocrine Associates (US), San Francisco VA Health Care System (US)
Openalex Percentile: Top 24%
Schizophrenia research and treatment
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