ReviewFrontiers in psychiatry2020
Models Predicting Psychosis in Patients With High Clinical Risk: A Systematic Review.
Review in Frontiers in psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 citations in OpenAlex.
- Systematic review of clinical prediction models for psychosis in individuals meeting At Risk Mental State criteria.Frontiers in psychiatry · 2024Pooled it
- Prognostic models predicting transition to psychotic disorder using blood-based biomarkers: a systematic review and critical appraisal.Translational psychiatry · 2023Pooled it
- Predictors of transition in patients with clinical high risk for psychosis: an umbrella review.Translational psychiatry · 2023Pooled it
- Development and validation of a machine learning model to identify individuals at high risk for psychotic disorders using medical record data.BMC psychiatry · 2026Article
- Factors that affect pathways to care for youth with psychotic disorders in Newfoundland and Labrador, Canada: A qualitative study.PLOS mental health · 2026Article
- Salience network segregation and symptom profiles in psychosis risk subgroups among youth and early adults.Schizophrenia (Heidelberg, Germany) · 2025Article
- Multimodal Prediction of Psychosis in the Prospective MoBa Birth Cohort.Research square · 2025Article
- Evaluation of a brief online multi-index assessment for predicting increased psychotic-like experiences in the community: A perceptual, cognitive and affective approach.Schizophrenia research. Cognition · 2025Article
- Tunisian Adolescents at CHR for Psychosis: A Pilot Study of Cognitive Remediation in a LMIC.Early intervention in psychiatry · 2025Article
- Ethical Implications of the Use of Language Analysis Technologies for the Diagnosis and Prediction of Psychiatric Disorders.JMIR mental health · 2022Article
- Cognitive dysfunction in schizophrenia: An expert group paper on the current state of the art.Schizophrenia research. Cognition · 2022Review
- Real-World Implementation of Precision Psychiatry: A Systematic Review of Barriers and Facilitators.Brain sciences · 2022Review
- Persistent and distressing psychotic-like experiences using adolescent brain cognitive development℠ study data.Molecular psychiatry · 2022Article
- Hindsight 2020: Emerging research trends in schizophrenia.Schizophrenia research · 2021Article
- Comparison of the touch-screen and traditional versions of the Corsi block-tapping test in patients with psychosis and healthy controls.BMC psychiatry · 2020Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe present study reviews predictive models used to improve prediction of psychosis onset in individuals at clinical high risk for psychosis (CHR), using clinical, biological, neurocognitive, environmental, and combinations of predictors.
methodsA systematic literature search on PubMed was carried out (from 1998 through 2019) to find all studies that developed or validated a model predicting the transition to psychosis in CHR subjects.
resultsWe found 1,406 records. Thirty-eight of them met the inclusion criteria; 11 studies using clinical predictive models, seven studies using biological models, five studies using neurocognitive models, five studies using environmental models, and 18 studies using combinations of predictive models across different domains. While the highest positive predictive value (PPV) in clinical, biological, neurocognitive, and combined predictive models were relatively high (all above 83), the highest PPV across environmental predictive models was modest (63%). Moreover, none of the combined models showed a superiority when compared with more parsimonious models (using only neurocognitive, clinical, biological, or environmental factors).
conclusionsThe use of predictive models may allow high prognostic accuracy for psychosis prediction in CHR individuals. However, only ten studies had performed an internal validation of their models. Among the models with the highest PPVs, only the biological and neurocognitive but not the combined models underwent validation. Further validation of predicted models is needed to ensure external validity.
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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.