Literature DB >> 7945742

Does a placebo run-in or a placebo treatment cell affect the efficacy of antidepressant medications?

M H Trivedi1, H Rush.   

Abstract

During the last decade, there has been an increasing use of a placebo run-in period prior to randomization to active treatments, or placebo in randomized controlled trials aimed at establishing acute phase antidepressant drug efficacy in patients with major depression. This procedure is thought to reduce response rates to placebo treatment after randomization, thereby increasing the drug-placebo difference. Metaanalyses of 101 studies reveal that a placebo run-in does not (1) lower the placebo response rate, (2) increase the drug-placebo difference, or (3) affect the drug response rate post-randomization in either inpatients or outpatients for any antidepressant drug group. If there is a post-randomization placebo treatment cell, drug response rates are unchanged or are slightly lower than if there is no placebo treatment cell for outpatients. These results suggest that a pill placebo run-in provides no advantage in acute phase efficacy trials.

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Year:  1994        PMID: 7945742     DOI: 10.1038/npp.1994.63

Source DB:  PubMed          Journal:  Neuropsychopharmacology        ISSN: 0893-133X            Impact factor:   7.853


  33 in total

1.  Trajectories of depression severity in clinical trials of duloxetine: insights into antidepressant and placebo responses.

Authors:  Ralitza Gueorguieva; Craig Mallinckrodt; John H Krystal
Journal:  Arch Gen Psychiatry       Date:  2011-12

2.  Does study design influence outcome?. The effects of placebo control and treatment duration in antidepressant trials.

Authors:  Bret R Rutherford; Joel R Sneed; Steven P Roose
Journal:  Psychother Psychosom       Date:  2009-03-24       Impact factor: 17.659

3.  Factors Associated With Response to Placebo in Patients With Irritable Bowel Syndrome and Constipation.

Authors:  Sarah Ballou; Alissa Beath; Ted J Kaptchuk; William Hirsch; Thomas Sommers; Judy Nee; Johanna Iturrino; Vikram Rangan; Prashant Singh; Mike Jones; Anthony Lembo
Journal:  Clin Gastroenterol Hepatol       Date:  2018-04-12       Impact factor: 11.382

Review 4.  Deconstructing pediatric depression trials: an analysis of the effects of expectancy and therapeutic contact.

Authors:  Bret R Rutherford; Joel R Sneed; Jane M Tandler; David Rindskopf; Bradley S Peterson; Steven P Roose
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2011-06-15       Impact factor: 8.829

5.  A Novel Methodology to Estimate the Treatment Effect in Presence of Highly Variable Placebo Response.

Authors:  Roberto Gomeni; Navin Goyal; Françoise Bressolle; Maurizio Fava
Journal:  Neuropsychopharmacology       Date:  2015-04-21       Impact factor: 7.853

6.  Does differential drop-out explain the influence of study design on antidepressant response? A meta-analysis.

Authors:  Bret R Rutherford; Joel R Sneed; Steven P Roose
Journal:  J Affect Disord       Date:  2012-03-02       Impact factor: 4.839

7.  A comparison of placebo responders and nonresponders in subgroups of depressive disorder.

Authors:  R J Bialik; A V Ravindran; D Bakish; Y D Lapierre
Journal:  J Psychiatry Neurosci       Date:  1995-07       Impact factor: 6.186

8.  Pretreatment neurophysiological and clinical characteristics of placebo responders in treatment trials for major depression.

Authors:  Andrew F Leuchter; Melinda Morgan; Ian A Cook; Jennifer Dunkin; Michelle Abrams; Elise Witte
Journal:  Psychopharmacology (Berl)       Date:  2004-07-14       Impact factor: 4.530

Review 9.  Antidepressant drug effects and depression severity: a patient-level meta-analysis.

Authors:  Jay C Fournier; Robert J DeRubeis; Steven D Hollon; Sona Dimidjian; Jay D Amsterdam; Richard C Shelton; Jan Fawcett
Journal:  JAMA       Date:  2010-01-06       Impact factor: 56.272

10.  Innovations in clinical research design and conduct in psychiatry: shifting to pragmatic approaches.

Authors:  David M Marks; Thanaseelan J; Chi-Un Pae
Journal:  Psychiatry Investig       Date:  2009-03-31       Impact factor: 2.505

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