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PROGNOSTIC VARIABLES IN SCHIZOPHRENIA*

This study examined the relationship between measures of outcome and socio-demographic arid diagnostic variables in schizophrenia. Product moment co-efficient of correlation and stepwise multiple regression were the main statistical techniques of analyses. The results of the study indicate that DSM-...

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Detalles Bibliográficos
Autores principales: Kulhara, P., Avasthi, A., Chandiramani, K.
Formato: Texto
Lenguaje:English
Publicado: Medknow Publications 1989
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2990871/
https://www.ncbi.nlm.nih.gov/pubmed/21927358
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author Kulhara, P.
Avasthi, A.
Chandiramani, K.
author_facet Kulhara, P.
Avasthi, A.
Chandiramani, K.
author_sort Kulhara, P.
collection PubMed
description This study examined the relationship between measures of outcome and socio-demographic arid diagnostic variables in schizophrenia. Product moment co-efficient of correlation and stepwise multiple regression were the main statistical techniques of analyses. The results of the study indicate that DSM-III diagnosis of schizophrenia, duration of illness, and Present State Examination-PSE Syndrome of non-specific psychosis are important predictors of outcome. CATEGO and Research Diagnostic Criteria-RDC diagnosis of Schizophrenia, and Schneiderian First Rank Symptoms were found to be poor predictors of outcome. Socio-demographic and clinical variables like gender of the patient, place of origin, impersistence at work, poor premorbid work record, hospitalization at the time of admittance into the study, loss of interest, affective flattening and incoherent speech were found to have prognostic implications.
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spelling pubmed-29908712011-09-16 PROGNOSTIC VARIABLES IN SCHIZOPHRENIA* Kulhara, P. Avasthi, A. Chandiramani, K. Indian J Psychiatry Original Article This study examined the relationship between measures of outcome and socio-demographic arid diagnostic variables in schizophrenia. Product moment co-efficient of correlation and stepwise multiple regression were the main statistical techniques of analyses. The results of the study indicate that DSM-III diagnosis of schizophrenia, duration of illness, and Present State Examination-PSE Syndrome of non-specific psychosis are important predictors of outcome. CATEGO and Research Diagnostic Criteria-RDC diagnosis of Schizophrenia, and Schneiderian First Rank Symptoms were found to be poor predictors of outcome. Socio-demographic and clinical variables like gender of the patient, place of origin, impersistence at work, poor premorbid work record, hospitalization at the time of admittance into the study, loss of interest, affective flattening and incoherent speech were found to have prognostic implications. Medknow Publications 1989 /pmc/articles/PMC2990871/ /pubmed/21927358 Text en Copyright: © Indian Journal of Psychiatry http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Kulhara, P.
Avasthi, A.
Chandiramani, K.
PROGNOSTIC VARIABLES IN SCHIZOPHRENIA*
title PROGNOSTIC VARIABLES IN SCHIZOPHRENIA*
title_full PROGNOSTIC VARIABLES IN SCHIZOPHRENIA*
title_fullStr PROGNOSTIC VARIABLES IN SCHIZOPHRENIA*
title_full_unstemmed PROGNOSTIC VARIABLES IN SCHIZOPHRENIA*
title_short PROGNOSTIC VARIABLES IN SCHIZOPHRENIA*
title_sort prognostic variables in schizophrenia*
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2990871/
https://www.ncbi.nlm.nih.gov/pubmed/21927358
work_keys_str_mv AT kulharap prognosticvariablesinschizophrenia
AT avasthia prognosticvariablesinschizophrenia
AT chandiramanik prognosticvariablesinschizophrenia