Original Research

Changing the course of schizophrenia - predictors of treatment outcome revisited

R Emsley, P Oosthuizen, D Niehaus, L Koen, B Chiliza
South African Journal of Psychiatry | Vol 13, No 1 | a4 | DOI: https://doi.org/10.4102/sajpsychiatry.v13i1.4 | © 2007 R Emsley, P Oosthuizen, D Niehaus, L Koen, B Chiliza | This work is licensed under CC Attribution 4.0
Submitted: 02 October 2007 | Published: 01 February 2007

About the author(s)

R Emsley, Department of Psychiatry, Stellenbosch University, Tygerberg, Western Cape
P Oosthuizen, Department of Psychiatry, Stellenbosch University, Tygerberg, Western Cape
D Niehaus, Department of Psychiatry, Stellenbosch University, Tygerberg, Western Cape
L Koen, Department of Psychiatry, Stellenbosch University, Tygerberg, Western Cape
B Chiliza, Department of Psychiatry, Stellenbosch University, Tygerberg, Western Cape

Full Text:

PDF (112KB)

Share this article

Bookmark and Share

Abstract

Multiple factors play a role in determining the outcome of schizophrenia. However, the role of these factors is poorly understood, and research findings so far have been inconclusive and sometimes contradictory. Various demographic and baseline clinical factors have been reported to be associated with treatment outcome. Also, early symptom reduction after initiation of antipsychotic therapy is closely related to later treatment response. However, associations as such do not necessarily imply predictive value, and none of these factors can be regarded as clinically useful in predicting treatment outcome. This article discusses selected aspects of treatment outcome and its prediction in schizophrenia, focusing particularly on early treatment response, ethnicity, neurological soft signs, and the predictive value of a discriminant functional analysis model utilising a combination of putative predictors. Such a model holds promise, and it is to be hoped that future refinements will lead to a clinically useful model for predicting outcome.


Keywords

No related keywords in the metadata.

Metrics

Total abstract views: 793
Total article views: 1387


Crossref Citations

No related citations found.