ReviewSchizophrenia bulletin2003
Transition to schizophrenia and related disorders: toward a taxonomy of risk.
Review in Schizophrenia bulletin, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Population Base Rates and Disease Course of Common Psychiatric and Neurodegenerative Disorders.Neuropsychology review · 2017Review
- Do Childhood Adversities Predict Suicidality? Findings from the General Population of the Metropolitan Area of São Paulo, Brazil.PloS one · 2016Article
- The 'at-risk mental state' for psychosis in adolescents: clinical presentation, transition and remission.Child psychiatry and human development · 2014Observational
- Neuropsychological profiles in different at-risk states of psychosis: executive control impairment in the early--and additional memory dysfunction in the late--prodromal state.Schizophrenia bulletin · 2011Article
- Preventative strategies for early-onset bipolar disorder: towards a clinical staging model.CNS drugs · 2010Review
- Use of neuroanatomical pattern classification to identify subjects in at-risk mental states of psychosis and predict disease transition.Archives of general psychiatry · 2009Article
- A taxonomy for homework used by mental health case managers when working with individuals diagnosed with severe mental illness.Community mental health journal · 2007Article
- Risk and protection in prodromal schizophrenia: ethical implications for clinical practice and future research.Schizophrenia bulletin · 2006Review
Corrections and comments
- Commented on by
- Commented on by
- Commented on by
Authors and funding
3 authors.
Funding
Abstract
The early detection and prevention of schizophrenia and other psychotic disorders are receiving rapidly growing attention subsequent to the suggestion that poorer outcome is associated with delayed onset of treatment among patients in their first psychotic episode. Although the first generation of so-called "prodromal" research programs has produced encouraging preliminary results, more information is necessary on the conversion rates from prodromal states to schizophrenia in specific samples. Early recognition and prevention strategies require a new taxonomy that classifies subjects by their status of risk of imminent onset of psychosis. Without additional knowledge of the mechanisms through which particular constellations of vulnerability factors, precursors, and prodromal symptoms predict the onset of schizophrenia, it is difficult to judge the effects of existing programs. In this paper, we discuss three sets of issues that will need to be resolved before these preventive programs can be implemented into routine care: (1) optimization of predicting the onset of psychotic disorders; (2) development and evaluation of alternative treatment strategies depending on the presenting risk status; and (3) evaluation of costs and benefits of identifying subjects at risk of psychosis/schizophrenia and receiving a specific preventive treatment.
Indexed as
Identifiers
14989407What OpenQuestion holds
Registered trials
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.