Literature DB >> 12494247

Moderators of placebo response to antipsychotic treatment in patients with schizophrenia: a meta-regression.

Jeffrey A Welge1, Paul E Keck.   

Abstract

RATIONALE: Variation in placebo response within and among clinical trials involving patients with schizophrenia can substantially affect conclusions about the efficacy of new antipsychotic medications. Therefore, it is of great importance to identify factors that moderate response to placebo in such trials.
OBJECTIVE: The objective of this meta-regression analysis was to estimate the effect of potential moderators of placebo response in randomized, short-term clinical trials involving patients with schizophrenia, schizoaffective disorder or schizophreniform disorder.
METHODS: Mean placebo response and potential moderators were extracted from 35 placebo-controlled, randomized trials of antipsychotic medications in patients with schizophrenia. Placebo response was defined as the absolute change in the Brief Psychiatric Rating Scale total score. Fixed-effects meta-regression was used to investigate between-trial variation in placebo response.
RESULTS: Trial duration accounted for a substantial proportion of the between-trial variation in response (27%), with greater improvement on placebo observed in shorter trials. Other variables showed insufficient variation across trials to permit any inferences regarding their relationships with placebo response.
CONCLUSIONS: Placebo-controlled trials of short duration (<6-8 weeks) are vulnerable to substantial placebo response. Recruiting patients with more severe pathology to mitigate placebo response does not appear to offer benefits and may even be counterproductive. Meta-analyses based on individual patient data offer the potential for much more detailed and inferentially sound exploration of factors affecting placebo response and are highly recommended.

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Year:  2002        PMID: 12494247     DOI: 10.1007/s00213-002-1299-4

Source DB:  PubMed          Journal:  Psychopharmacology (Berl)        ISSN: 0033-3158            Impact factor:   4.530


  11 in total

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Review 3.  [Placebo response: in studies on pain and under other clinical conditions].

Authors:  K Weimer; B Horing; S Klosterhalfen; P Enck
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Review 4.  The placebo response in clinical trials: more questions than answers.

Authors:  Paul Enck; Sibylle Klosterhalfen; Katja Weimer; Björn Horing; Stephan Zipfel
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-06-27       Impact factor: 6.237

5.  Modelling and simulation of the Positive and Negative Syndrome Scale (PANSS) time course and dropout hazard in placebo arms of schizophrenia clinical trials.

Authors:  Venkatesh Pilla Reddy; Magdalena Kozielska; Martin Johnson; Ahmed Abbas Suleiman; An Vermeulen; Jing Liu; Rik de Greef; Geny M M Groothuis; Meindert Danhof; Johannes H Proost
Journal:  Clin Pharmacokinet       Date:  2012-04-01       Impact factor: 6.447

6.  Mechanisms of action of antipsychotic drugs of different classes, refractoriness to therapeutic effects of classical neuroleptics, and individual variation in sensitivity to their actions: Part II.

Authors:  R Miller
Journal:  Curr Neuropharmacol       Date:  2009-12       Impact factor: 7.363

7.  Predictors of Placebo Response in Pharmacological Clinical Trials of Negative Symptoms in Schizophrenia: A Meta-regression Analysis.

Authors:  David Fraguas; Covadonga M Díaz-Caneja; Laura Pina-Camacho; Daniel Umbricht; Celso Arango
Journal:  Schizophr Bull       Date:  2019-01-01       Impact factor: 9.306

Review 8.  Placebo responses in patients with gastrointestinal disorders.

Authors:  Frauke Musial; Sibylle Klosterhalfen; Paul Enck
Journal:  World J Gastroenterol       Date:  2007-07-07       Impact factor: 5.742

Review 9.  Mechanisms of the placebo effect in pain and psychiatric disorders.

Authors:  R D Holmes; A K Tiwari; J L Kennedy
Journal:  Pharmacogenomics J       Date:  2016-03-22       Impact factor: 3.550

10.  Meta-analysis of Placebo Response in Randomized Clinical Trials of Antipsychotic Drugs Using PANSS Focusing on Different Approaches to the Handling of Missing Data.

Authors:  Akiko Matsusaki; Masayuki Kaneko; Mamoru Narukawa
Journal:  Clin Drug Investig       Date:  2018-08       Impact factor: 2.859

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