Predicting the development of schizophrenia in high-risk populations: systematic review of the predictive validity of prodromal criteria
| Autor: | Prem Mahadun, Jefter Chuma |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Predictive validity
medicine.medical_specialty Time Factors Statistics as Topic 03 medical and health sciences Disease susceptibility 0302 clinical medicine Predictive Value of Tests medicine Humans False Positive Reactions 030212 general & internal medicine Psychiatry Prospective cohort study High risk populations Prodromal Stage medicine.disease 030227 psychiatry Diagnostic and Statistical Manual of Mental Disorders Psychiatry and Mental health Epidemiologic Studies Schizophrenia Predictive value of tests Schizophrenic Psychology Disease Susceptibility Psychology Clinical psychology |
| Zdroj: | The British journal of psychiatry : the journal of mental science. 199(5) |
| ISSN: | 1472-1465 |
| Popis: | BackgroundThere is a great deal of debate on the usefulness and accuracy of prodromal criteria in predicting schizophrenia. The risk of treating people who screen false positive with medication is considerable. Yet intervening during the prodromal stage of illness may reduce the burden caused by schizophrenia.AimsTo draw together the evidence base for the predictive validity of prodromal criteria in identifying individuals at high risk of developing schizophrenia.MethodWe conducted a systematic review of prospective studies investigating the predictive validity of prodromal criteria in schizophrenia.ResultsOur study found two main criteria, ultra-high-risk criteria and basic-symptoms criteria, used in studies investigating the predictive validity of prodromal symptoms. The sensitivity and specificity of ultra-high-risk criteria was 0.81 (95% CI 0.76–0.85) and 0.67 (95% CI 0.64–0.70) respectively and for basic-symptoms criteria sensitivity and specificity was 0.97 (95% CI 0.91–1.00) and 0.59 (95% CI 0.48–0.70) respectively.ConclusionsBoth ultra-high-risk criteria and basic-symptoms criteria are useful in predicting the development of schizophrenia among high-risk populations. |
| Databáze: | OpenAIRE |
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