Cited by 1,269Schizophrenia research and treatmentPsychopathy, Forensic Psychiatry, Sexual OffendingBipolar Disorder and Treatment

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Prediction of Psychosis in Youth at High Clinical Risk: A Multisite Longitudinal Study in North America

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Cannon, Tyrone D., Cadenhead, Kristin, Cornblatt, Barbara, Woods, Scott W., Addington, Jean, Walker, Elaine, Seidman, Larry J., Perkins, Diana, Tsuang, Ming, McGlashan, Thomas, Heinssen, Robert·2008·Archives of General Psychiatry

DOI 10.1001/archgenpsychiatry.2007.3PMC PMC3065347

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Abstract

CONTEXT: Early detection and prospective evaluation of individuals who will develop schizophrenia or other psychotic disorders are critical to efforts to isolate mechanisms underlying psychosis onset and to the testing of preventive interventions, but existing risk prediction approaches have achieved only modest predictive accuracy. OBJECTIVES: To determine the risk of conversion to psychosis and to evaluate a set of prediction algorithms maximizing positive predictive power in a clinical high-risk sample. DESIGN, SETTING, AND PARTICIPANTS: Longitudinal study with a 2 1/2-year follow-up of 291 prospectively identified treatment-seeking patients meeting Structured Interview for Prodromal Syndromes criteria. The patients were recruited and underwent evaluation across 8 clinical research centers as part of the North American Prodrome Longitudinal Study. MAIN OUTCOME MEASURE: Time to conversion to a fully psychotic form of mental illness. RESULTS: The risk of conversion to psychosis was 35%, with a decelerating rate of transition during the 2 1/2-year follow-up. Five features assessed at baseline contributed uniquely to the prediction of psychosis: a genetic risk for schizophrenia with recent deterioration in functioning, higher levels of unusual thought content, higher levels of suspicion/paranoia, greater social impairment, and a history of substance abuse. Prediction algorithms combining 2 or 3 of these variables resulted in dramatic increases in positive predictive power (ie, 68%-80%) compared with the prodromal criteria alone. CONCLUSIONS: These findings demonstrate that prospective ascertainment of individuals at risk for psychosis is feasible, with a level of predictive accuracy comparable to that in other areas of preventive medicine. They provide a benchmark for the rate and shape of the psychosis risk function against which standardized preventive intervention programs can be compared.

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Self-citation

Authors: Cannon, T. D., Cadenhead, K., Cornblatt, B., Woods, S. W., Addington, J., Walker, E., Seidman, L. J., Perkins, D., Tsuang, M., McGlashan, T., & Heinssen, R.
Affiliations: University of California, Los Angeles (US)
University of California San Diego (US)
Zucker Hillside Hospital (US)
Yale University (US)
University of Toronto (CA)
Emory University (US)
Harvard University (US)
University of North Carolina at Chapel Hill (US)
National Institute of Mental Health (US)
ORCID: Cannon, Tyrone D.
Cadenhead, Kristin
Cornblatt, Barbara
Woods, Scott W.
Addington, Jean
Walker, Elaine
Seidman, Larry J.
Perkins, Diana
Tsuang, Ming
McGlashan, Thomas
Venue: Archives of General Psychiatry
Publisher: American Medical Association (AMA)
Published: 2008-01-01
Volume: 65
Issue: 1
Pages: 28
ISSN: 0003-990X (ISSN-L)
DOI: 10.1001/archgenpsychiatry.2007.3
PMC: PMC3065347
OpenAlex: W2140824803
Cited by: 1,269
References: 68
Citations by year: 2026: 14 · 2025: 22 · 2024: 19 · 2023: 30 · 2022: 32 · 2021: 52 · 2020: 51 · 2019: 72 · 2018: 50 · 2017: 80 · 2016: 91 · 2015: 98 · 2014: 93 · 2013: 115 · 2012: 109
FWCI: 78.94
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Locations: Archives of General Psychiatry (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Funders: National Institutes of Health (UL1TR000454)
National Institute of Mental Health (K24MH076191, K23MH001905, U01MH082022, R01MH060720, U01MH082004, U01MH081944)
National Center for Advancing Translational Sciences
Topics: Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
Social Sciences › Psychology › Clinical Psychology › Psychopathy, Forensic Psychiatry, Sexual Offending
Health Sciences › Medicine › Psychiatry and Mental health › Bipolar Disorder and Treatment
Keywords: psychosis prediction, clinical high risk for psychosis, schizophrenia, transition to psychosis, risk prediction algorithm, unusual thought content, social dysfunction, substance abuse, North American Prodrome Longitudinal Study
MeSH terms: Adolescent, Adult, Algorithms, Cognition, Female, Humans, Longitudinal Studies, Male, Paranoid Disorders, Predictive Value of Tests, Prognosis, Psychotic Disorders, Risk Factors, Schizophrenia, Social Behavior, Syndrome, Antipsychotic Agents, Substance-Related Disorders, Genetic Predisposition to Disease, Kaplan-Meier Estimate

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Prediction of Psychosis in Youth at High Clinical Risk: A Multisite Longitudinal Study in North America

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