ArticleSchizophrenia bulletin2014
A stratified model for psychosis prediction in clinical practice.
Article in Schizophrenia bulletin, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.
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Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 64 citations in OpenAlex.
- Improving Prognostic Accuracy in Subjects at Clinical High Risk for Psychosis: Systematic Review of Predictive Models and Meta-analytical Sequential Testing Simulation.Schizophrenia bulletin · 2017Pooled it
- Can screening instruments accurately determine poor outcome risk in adults with recent onset low back pain? A systematic review and meta-analysis.BMC medicine · 2017Pooled it
- Attention or memory deficits? An HIV study in Shanghai using local and norm-based controls.Frontiers in neurology · 2025Article
- Clinical and neurocognitive profiles of a combined clinical high risk for psychosis and clinical control sample: latent class analysis.BJPsych open · 2024Article
- Aberrant brain dynamics in individuals with clinical high risk of psychosis.Schizophrenia bulletin open · 2024Article
- Prevalence of cognitive impairments and strengths in the early course of psychosis and depression.Psychological medicine · 2023Article
- White Matter Alterations Between Brain Network Hubs Underlie Processing Speed Impairment in Patients With Schizophrenia.Schizophrenia bulletin open · 2021Article
- Sex differences in cognitive functioning of patients at-risk for psychosis and healthy controls: Results from the European Gene-Environment Interactions study.European psychiatry : the journal of the Association of European Psychiatrists · 2020Article
- Models Predicting Psychosis in Patients With High Clinical Risk: A Systematic Review.Frontiers in psychiatry · 2020Review
- Neuropsychological deficits in participants at clinical high risk for psychosis recruited from the community: relationships to functioning and clinical symptoms.Psychological medicine · 2020Article
- Using Online Screening in the General Population to Detect Participants at Clinical High-Risk for Psychosis.Schizophrenia bulletin · 2019Article
- Neurocognitive profiles in the prodrome to psychosis in NAPLS-1.Schizophrenia research · 2019Article
- Altered selection during language processing in individuals at high risk for psychosis.Schizophrenia research · 2018Article
- Prediction Models of Functional Outcomes for Individuals in the Clinical High-Risk State for Psychosis or With Recent-Onset Depression: A Multimodal, Multisite Machine Learning Analysis.JAMA psychiatry · 2018Article
- The Frankfurt Complaint Questionnaire for self-assessment of basic symptoms in the early detection of psychosis-Factor structure, reliability, and predictive validity.International journal of methods in psychiatric research · 2018Article
- Increased Striatal and Reduced Prefrontal Cerebral Blood Flow in Clinical High Risk for Psychosis.Schizophrenia bulletin · 2018Article
- Predicting Cognition and Psychosis in Young Adults With 22q11.2 Deletion Syndrome.Schizophrenia bulletin · 2017Article
- Using clinical information to make individualized prognostic predictions in people at ultra high risk for psychosis.Schizophrenia research · 2017Article
- Thought disorder measured as random speech structure classifies negative symptoms and schizophrenia diagnosis 6 months in advance.NPJ schizophrenia · 2017Article
- The Role of Cognition and Social Functioning as Predictors in the Transition to Psychosis for Youth With Attenuated Psychotic Symptoms.Schizophrenia bulletin · 2017Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveImpaired cognition is an important dimension in psychosis and its at-risk states. Research on the value of impaired cognition for psychosis prediction in at-risk samples, however, mainly relies on study-specific sample means of neurocognitive tests, which unlike widely available general test norms are difficult to translate into clinical practice. The aim of this study was to explore the combined predictive value of at-risk criteria and neurocognitive deficits according to test norms with a risk stratification approach.
methodPotential predictors of psychosis (neurocognitive deficits and at-risk criteria) over 24 months were investigated in 97 at-risk patients.
resultsThe final prediction model included (1) at-risk criteria (attenuated psychotic symptoms plus subjective cognitive disturbances) and (2) a processing speed deficit (digit symbol test). The model was stratified into 4 risk classes with hazard rates between 0.0 (both predictors absent) and 1.29 (both predictors present).
conclusionsThe combination of a processing speed deficit and at-risk criteria provides an optimized stratified risk assessment. Based on neurocognitive test norms, the validity of our proposed 3 risk classes could easily be examined in independent at-risk samples and, pending positive validation results, our approach could easily be applied in clinical practice in the future.
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