21
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Duration of untreated psychosis as predictor of long-term outcome in schizophrenia: systematic review and meta-analysis

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Duration of untreated psychosis (DUP) is one of the few potentially modifiable predictors of outcomes of schizophrenia. Long DUP as a predictor of poor short-term outcome has been addressed in previous meta-analyses, but the long-term effects of DUP remain unclear.

          Aims

          To analyse the associations between DUP and long-term outcomes of schizophrenia.

          Method

          A systematic literature search was performed using seven electronic databases and manual searches. Random effects weighted meta-analysis with correlation coefficients was used to pool the results.

          Results

          We identified 3493 unique publications, from which 33 samples met our predefined selection criteria. Long DUP correlated statistically significantly with poor general symptomatic outcome, more severe positive and negative symptoms, lesser likelihood of remission and poor social functioning and global outcome (correlations 0.13–0.18). Long DUP was not associated with employment, quality of life or hospital treatment.

          Conclusions

          The small but mostly consistent correlation between long DUP and poor outcome indicates that early intervention in psychosis may have at least subtle positive effects on the long-term course of illness.

          Related collections

          Most cited references46

          • Record: found
          • Abstract: not found
          • Article: not found

          Measuring inconsistency in meta-analyses.

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            A power primer.

            One possible reason for the continued neglect of statistical power analysis in research in the behavioral sciences is the inaccessibility of or difficulty with the standard material. A convenient, although not comprehensive, presentation of required sample sizes is provided here. Effect-size indexes and conventional values for these are given for operationally defined small, medium, and large effects. The sample sizes necessary for .80 power to detect effects at these levels are tabled for eight standard statistical tests: (a) the difference between independent means, (b) the significance of a product-moment correlation, (c) the difference between independent rs, (d) the sign test, (e) the difference between independent proportions, (f) chi-square tests for goodness of fit and contingency tables, (g) one-way analysis of variance, and (h) the significance of a multiple or multiple partial correlation.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Meta-analysis of Observational Studies in EpidemiologyA Proposal for Reporting

                Bookmark

                Author and article information

                Journal
                British Journal of Psychiatry
                Br J Psychiatry
                Royal College of Psychiatrists
                0007-1250
                1472-1465
                August 2014
                January 02 2018
                August 2014
                : 205
                : 2
                : 88-94
                Article
                10.1192/bjp.bp.113.127753
                25252316
                a7219945-6869-48da-a1be-078146fcf0c7
                © 2014

                https://www.cambridge.org/core/terms

                History

                Comments

                Comment on this article