Neurocognition in clinical high risk young adults who did or did not convert to a first schizophrenic psychosis: a meta-analysis.
Background: Individuals at clinical high risk (CHR) for psychosis have become a major focus for research designed to explore early predictors of transition to full psychosis. Characterizing differences in neurocognitive (NC) functioning between psychosis converters (CHR-C) and non-converters (CHR-NC...
| Publicado en: | Schizophrenia Research Vol. 149; no. 1-3; pp. 48 - 56 |
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| Autores principales: | , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Sep2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104085732&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104085732 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09209964 3PT jtl: Schizophrenia Research issn: 09209964 maglogo: N pubinfo: dt: Sep2013 vid: 149 iid: 1-3 pid: 1004 pub: Elsevier B.V. artinfo: ui: 104085732 NLM23830855 2012213013 10.1016/j.schres.2013.06.017 NLM23830855 104085732 ppf: 48 ppct: 8 formats: tig: atl: Neurocognition in clinical high risk young adults who did or did not convert to a first schizophrenic psychosis: a meta-analysis. aug: au: De Herdt, Amber Wampers, Martien Vancampfort, Davy De Hert, Marc Vanhees, Luc Demunter, Hella Van Bouwel, Ludwina Brunner, Emanuel Probst, Michel affil: Department of Rehabilitation Science, KU Leuven, Belgium. Electronic address: amber.deherdt@faber.kuleuven.be. sug: subj: Psychology Psychotic Disorders Diagnosis Schizophrenia Diagnosis Cognition Disorders Etiology Disease Progression Embase Female Human Male Medline Meta Analysis Psychotic Disorders Complications Psychotic Disorders Psychosocial Factors PubMed Resource Databases Schizophrenia Complications Female Male ab: Background: Individuals at clinical high risk (CHR) for psychosis have become a major focus for research designed to explore early predictors of transition to full psychosis. Characterizing differences in neurocognitive (NC) functioning between psychosis converters (CHR-C) and non-converters (CHR-NC) might contribute to the identification of specific NC predictors of psychosis onset. Therefore, the aim of the present meta-analysis was to compare the baseline NC performance between CHR-C and CHR-NC.Method: PubMed (MEDLINE), Web of Science, Embase and reference lists were searched for studies reporting baseline cognitive data of CHR-C and CHR-NC. Included NC tests were classified within the MATRICS - Measurement and Treatment Research to Improve Cognition in Schizophrenia - cognitive domains.Results: Of 95 studies assessed for eligibility, 9 studies comprising 583 CHR subjects (N CHR-C=195, N CHR-NC=388) met all the inclusion criteria. CHR-C performed significantly worse compared to CHR-NC on 2 MATRICS domains namely working memory (ES=-0.29, 95% CI=-0.53 to -0.05) and visual learning (ES=-0.40, 95% CI=-0.68 to -0.13). For the remaining 4 domains (processing speed, attention/vigilance, verbal learning, reasoning/problem solving) no significant differences between CHR-C and CHR-NC were observed.Conclusion: Based on the current meta-analytic data we might conclude that it is possible to differentiate between CHR-C and CHR-NC with respect to working memory and visual learning. The addition of visual learning and working memory tasks to psychosis regression models might contribute to the predictive power of these models. pubtype: Academic Journal doctype: meta analysis research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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