Literature DB >> 22045944

Predicting the development of schizophrenia in high-risk populations: systematic review of the predictive validity of prodromal criteria.

Jefter Chuma1, Prem Mahadun.   

Abstract

BACKGROUND: There 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. AIMS: To draw together the evidence base for the predictive validity of prodromal criteria in identifying individuals at high risk of developing schizophrenia.
METHOD: We conducted a systematic review of prospective studies investigating the predictive validity of prodromal criteria in schizophrenia.
RESULTS: Our 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.
CONCLUSIONS: Both ultra-high-risk criteria and basic-symptoms criteria are useful in predicting the development of schizophrenia among high-risk populations.

Entities:  

Mesh:

Year:  2011        PMID: 22045944     DOI: 10.1192/bjp.bp.110.086868

Source DB:  PubMed          Journal:  Br J Psychiatry        ISSN: 0007-1250            Impact factor:   9.319


  7 in total

1.  [Prodromal stages of psychoses: qualified as new diagnostic entity in ICD-11 and DSM-5? - Contra].

Authors:  J M Fegert
Journal:  Nervenarzt       Date:  2012-05       Impact factor: 1.214

Review 2.  Towards indicated prevention of psychosis: using probabilistic assessments of transition risk in psychosis prodrome.

Authors:  Scott Richard Clark; Klaus Oliver Schubert; Bernhard Theodor Baune
Journal:  J Neural Transm (Vienna)       Date:  2014-10-16       Impact factor: 3.575

3.  Emerging psychosis and the family.

Authors:  Martin Hambrecht
Journal:  ISRN Psychiatry       Date:  2012-04-23

4.  Prediction of transition from ultra-high risk to first-episode psychosis using a probabilistic model combining history, clinical assessment and fatty-acid biomarkers.

Authors:  S R Clark; B T Baune; K O Schubert; S Lavoie; S Smesny; S M Rice; M R Schäfer; F Benninger; M Feucht; C M Klier; P D McGorry; G P Amminger
Journal:  Transl Psychiatry       Date:  2016-09-20       Impact factor: 6.222

5.  Large-scale real-world data analysis identifies comorbidity patterns in schizophrenia.

Authors:  Chenyue Lu; Di Jin; Nathan Palmer; Kathe Fox; Isaac S Kohane; Jordan W Smoller; Kun-Hsing Yu
Journal:  Transl Psychiatry       Date:  2022-04-11       Impact factor: 6.222

Review 6.  Prediction and prevention of the first psychotic episode: new directions and opportunities.

Authors:  Sara Piras; Gianluca Casu; Maria Antonietta Casu; Alessandro Orrù; Stefania Ruiu; Antonio Pilleri; Gabriella Manca; Giorgio Marchese
Journal:  Ther Clin Risk Manag       Date:  2014-03-28       Impact factor: 2.423

7.  Emotional Experiences Predict the Conversion of Individuals with Attenuated Psychosis Syndrome to Psychosis: A 6-Month Follow up Study.

Authors:  Fa Zhan Chen; Yi Wang; Xi Rong Sun; Yu Hong Yao; Ning Zhang; Hui Fen Qiao; Lan Zhang; Zhan Jiang Li; Hong Lin; Zheng Lu; Jing Li; Raymond C K Chan; Xu Dong Zhao
Journal:  Front Psychol       Date:  2016-06-01
  7 in total

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