Literature DB >> 18823760

Does the probability of receiving placebo influence clinical trial outcome? A meta-regression of double-blind, randomized clinical trials in MDD.

George I Papakostas1, Maurizio Fava.   

Abstract

Substantial and highly variable placebo response rates represent a major obstacle to antidepressant development in major depressive disorder (MDD). However, whether the likelihood of receiving active treatment or placebo, a proxy of the degree of expectation of improvement, may itself influence clinical trial outcome is unclear. The goal of this work was to examine whether the probability of receiving placebo influences clinical trial outcome antidepressant MDD trials. Medline/Pubmed publication databases were searched for randomized, double-blind, placebo-controlled trials of antidepressants for adults with MDD. 146 manuscripts involving 182 clinical trials were pooled (n = 36,385). Pooled response rates for drug and placebo were 53.8% and 37.3%. A meta-regression (random-effects) established that the probability of receiving placebo, year of publication, and baseline severity were independent predictors of the risk ratio of responding to antidepressants versus placebo. Specifically, a greater probability of receiving placebo, greater baseline severity and an earlier year of publication predicted greater antidepressant-placebo "efficacy separation". Fixed versus flexible dose design, trial duration and population age did not influence clinical trial outcome.

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Year:  2008        PMID: 18823760     DOI: 10.1016/j.euroneuro.2008.08.009

Source DB:  PubMed          Journal:  Eur Neuropsychopharmacol        ISSN: 0924-977X            Impact factor:   4.600


  117 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

Review 2.  Second-generation antidepressants.

Authors:  G Michael Allan; Adil S Virani; Noah Ivers
Journal:  Can Fam Physician       Date:  2011-10       Impact factor: 3.275

3.  Does psychomotor retardation define a clinically relevant phenotype of unipolar depression?

Authors:  S Calugi; G B Cassano; A Litta; P Rucci; A Benvenuti; M Miniati; L Lattanzi; V Mantua; V Lombardi; A Fagiolini; E Frank
Journal:  J Affect Disord       Date:  2010-09-15       Impact factor: 4.839

Review 4.  A Meta-Analysis of Executive Dysfunction and Antidepressant Treatment Response in Late-Life Depression.

Authors:  Monique A Pimontel; David Rindskopf; Bret R Rutherford; Patrick J Brown; Steven P Roose; Joel R Sneed
Journal:  Am J Geriatr Psychiatry       Date:  2015-05-21       Impact factor: 4.105

5.  Scientific tools, fake treatments, or triggers for psychological healing: how clinical trial participants conceptualise placebos.

Authors:  Felicity L Bishop; Eric E Jacobson; Jessica R Shaw; Ted J Kaptchuk
Journal:  Soc Sci Med       Date:  2012-01-18       Impact factor: 4.634

6.  Therapeutic alliance in antidepressant treatment: cause or effect of symptomatic levels?

Authors:  Sigal Zilcha-Mano; Steven P Roose; Jacques P Barber; Bret R Rutherford
Journal:  Psychother Psychosom       Date:  2015-03-28       Impact factor: 17.659

7.  Randomization to randomization probability: Estimating treatment effects under actual conditions of use.

Authors:  Brandon J George; Peng Li; Harris R Lieberman; Greg Pavela; Andrew W Brown; Kevin R Fontaine; Madeline M Jeansonne; Gareth R Dutton; Adeniyi J Idigo; Mariel A Parman; Donald B Rubin; David B Allison
Journal:  Psychol Methods       Date:  2017-04-13

Review 8.  Moving pharmacoepigenetics tools for depression toward clinical use.

Authors:  Laura M Hack; Gabriel R Fries; Harris A Eyre; Chad A Bousman; Ajeet B Singh; Joao Quevedo; Vineeth P John; Bernhard T Baune; Boadie W Dunlop
Journal:  J Affect Disord       Date:  2019-02-06       Impact factor: 4.839

9.  A Machine Learning Approach to Identifying Placebo Responders in Late-Life Depression Trials.

Authors:  Sigal Zilcha-Mano; Steven P Roose; Patrick J Brown; Bret R Rutherford
Journal:  Am J Geriatr Psychiatry       Date:  2018-01-11       Impact factor: 4.105

10.  Development of a placebo effect model combined with a dropout model for bipolar disorder.

Authors:  Wan Sun; Thomas P Laughren; Hao Zhu; Guenther Hochhaus; Yaning Wang
Journal:  J Pharmacokinet Pharmacodyn       Date:  2013-03-02       Impact factor: 2.745

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