ArticleSchizophrenia research2015
Severity of thought disorder predicts psychosis in persons at clinical high-risk.
Article in Schizophrenia research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.
- Implementing Precision Psychiatry: A Systematic Review of Individualized Prediction Models for Clinical Practice.Schizophrenia bulletin · 2021Pooled it
- Visual P300 and Risk for Psychosis Onset in Youth at Clinical High Risk.Biological psychiatry · 2026Article
- Theta Oscillations Assessed From a Passive Auditory Oddball Paradigm in Individuals at Clinical High-Risk for Psychosis and Healthy Control Individuals: Associations with Clinical Outcomes and Mismatch Negativity.Biological psychiatry global open science · 2026Article
- Effects of palmitoylethanolamide in clinical high-risk for psychosis: A nonrandomized open-label trial.Brain, behavior, & immunity - health · 2025Article
- Excitation/inhibition imbalance and conversion to psychosis in the clinical high risk syndrome: Biophysical modeling finds reduced pyramidal cell excitability across EEG paradigms.medRxiv : the preprint server for health sciences · 2025Article
- The electroencephalography protocol for the Accelerating Medicines Partnership® Schizophrenia Program: Reliability and stability of measures.Schizophrenia (Heidelberg, Germany) · 2025Article
- Body fluid biomarkers and psychosis risk in The Accelerating Medicines Partnership® Schizophrenia Program: design considerations.Schizophrenia (Heidelberg, Germany) · 2025Article
- Development of the PSYCHS: Positive SYmptoms and Diagnostic Criteria for the CAARMS Harmonized with the SIPS.Early intervention in psychiatry · 2024Article
- Heterogeneity of clinical symptomatology in pediatric patients at clinical high risk for psychosis.BMC research notes · 2024Article
- Development of the PSYCHS: Positive SYmptoms and Diagnostic Criteria for the CAARMS Harmonized with the SIPS.medRxiv : the preprint server for health sciences · 2023Article
- Neural mechanisms of motor dysfunction in individuals at clinical high-risk for psychosis: Evidence for impairments in motor activation.Journal of psychopathology and clinical science · 2022Article
- A greedy regression algorithm with coarse weights offers novel advantages.Scientific reports · 2022Article
- Glutathione as a Molecular Marker of Functional Impairment in Patients with At-Risk Mental State: 7-TeslaBrain sciences · 2021Article
- Longitudinal outcome of attenuated positive symptoms, negative symptoms, functioning and remission in people at clinical high risk for psychosis: a meta-analysis.EClinicalMedicine · 2021Article
- Predicting the individual risk of psychosis conversion in at-risk mental state (ARMS): a multivariate model reveals the influence of nonpsychotic prodromal symptoms.European child & adolescent psychiatry · 2020Article
- Potential Roles of Redox Dysregulation in the Development of Schizophrenia.Biological psychiatry · 2020Review
- Deficits in auditory predictive coding in individuals with the psychosis risk syndrome: Prediction of conversion to psychosis.Journal of abnormal psychology · 2020Article
- Polygenic Risk Score Contribution to Psychosis Prediction in a Target Population of Persons at Clinical High Risk.The American journal of psychiatry · 2020Article
- DSM-5 Attenuated Psychosis Syndrome in Adolescents Hospitalized With Non-psychotic Psychiatric Disorders.Frontiers in psychiatry · 2020Article
- Association Between P300 Responses to Auditory Oddball Stimuli and Clinical Outcomes in the Psychosis Risk Syndrome.JAMA psychiatry · 2019Article
Corrections and comments
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Authors and funding
14 authors at 11 institutions in 2 countries.
Funding
Abstract
backgroundImproving predictive accuracy is of paramount importance for early detection and prevention of psychosis. We sought a symptom severity classifier that would improve psychosis risk prediction.
methodsSubjects were from two cohorts of the North American Prodrome Longitudinal Study. All subjects met Criteria of Psychosis-Risk States. In Cohort-1 (n=296) we developed a classifier that included those items of the Scale of Psychosis-Risk Symptoms that best distinguished subjects who converted to psychosis from nonconverters, with performance initially validated by randomization tests in Cohort-1. Cohort-2 (n=592) served as an independent test set.
resultsWe derived 2-Item and 4-Item subscales. Both included unusual thought content and suspiciousness; the latter added reduced ideational richness and difficulties with focus/concentration. The Concordance Index (C-Index), a measure of discrimination, was similar for each subscale across cohorts (4-Item subscale Cohort-2: 0.71, 95% CI=[0.64, 0.77], Cohort-1: 0.74, 95% CI=[0.69, 0.80]; 2-Item subscale Cohort-2: 0.68, 95% CI=[0.3, 0.76], Cohort-1: 0.72, 95% CI=[0.66-0.79]). The 4-Item performed better than the 2-Item subscale in 742/1000 random selections of 80% subsets of Cohort-2 subjects (p-value=1.3E-55). Subscale calibration between cohorts was proportional (higher scores/lower survival), but absolute conversion risk predicted from Cohort-1 was higher than that observed in Cohort-2, reflecting the cohorts' differences in 2-year conversion rates (Cohort-2: 0.16, 95% CI=[0.13, 0.19]; Cohort-1: 0.30, 95% CI=[0.24, 0.36]).
conclusionSeverity of unusual thought content, suspiciousness, reduced ideational richness, and difficulty with focus/concentration informed psychosis risk prediction. Scales based on these symptoms may have utility in research and, assuming further validation, eventual clinical applications.
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