Literature DB >> 27726982

Placebo response rates in antidepressant trials: a systematic review of published and unpublished double-blind randomised controlled studies.

Toshi A Furukawa1, Andrea Cipriani2, Lauren Z Atkinson3, Stefan Leucht4, Yusuke Ogawa5, Nozomi Takeshima5, Yu Hayasaka5, Anna Chaimani6, Georgia Salanti6.   

Abstract

BACKGROUND: Previous studies have shown that placebo response rates in antidepressant trials have been increasing since the 1970s. However, these studies have been based on outdated or limited datasets and have used inappropriate statistical methods. We did a systematic review of placebo-controlled randomised controlled trials of antidepressants to examine associations between placebo-response rates and study and patient characteristics.
METHODS: In this systematic review, we searched for published and unpublished double-blind randomised placebo-controlled trials of first-generation and second-generation antidepressants for acute treatment of major depression in adults (update: Jan 8, 2016). The log-transformed proportions of placebo response, defined as 50% or greater reduction in depression severity score from baseline, were meta-analytically synthesised for each year. We then looked for a structural break point in the secular changes in these characteristics through the years and examined the influence of the study year and other trial and patient characteristics on the response rates through meta-regression.
FINDINGS: We identified 252 placebo-controlled trials (26 324 patients on placebo) done between 1978 and 2015. There was a structural break in 1991, and since then, the average placebo response rates in antidepressant trials have remained constant in the range between 35% and 40% (relative risk [RR] 1·00, 95% CI 0·97-1·03, p=0·99, for every 5-year increase). The length of the study and the number of study centres were significant factors (RR 1·03, 95% CI 1·01-1·05 for 1 more week in trial length; 1·32, 1·11-1·57 for multicentre vs single-centre trials).
INTERPRETATION: Contrary to the widely held belief, the average placebo response rates in antidepressant trials have been stable for more than 25 years. This new evidence should have an effect on the interpretation of the scientific literature and the future of psychopharmacology, both from a clinical and methodological point of view. FUNDING: Japan Society for Promotion of Science, Great Britain Sasakawa Foundation.
Copyright © 2016 Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 27726982     DOI: 10.1016/S2215-0366(16)30307-8

Source DB:  PubMed          Journal:  Lancet Psychiatry        ISSN: 2215-0366            Impact factor:   27.083


  48 in total

1.  Classical conditioning of antidepressant placebo effects in mice.

Authors:  Samuel R Krimmel; Panos Zanos; Polymnia Georgiou; Luana Colloca; Todd D Gould
Journal:  Psychopharmacology (Berl)       Date:  2019-08-17       Impact factor: 4.530

2.  Placebo response rates and potential modifiers in double-blind randomized controlled trials of second and newer generation antidepressants for major depressive disorder in children and adolescents: a systematic review and meta-regression analysis.

Authors:  Ramona Meister; Mariam Abbas; Jochen Antel; Triinu Peters; Yiqi Pan; Ulrike Bingel; Yvonne Nestoriuc; Johannes Hebebrand
Journal:  Eur Child Adolesc Psychiatry       Date:  2018-12-08       Impact factor: 4.785

3.  Why hierarchical dimensional approaches to classification will fail to transform diagnosis in psychiatry.

Authors:  Mark Zimmerman
Journal:  World Psychiatry       Date:  2021-02       Impact factor: 49.548

4.  Has the rising placebo response impacted antidepressant clinical trial outcome? Data from the US Food and Drug Administration 1987-2013.

Authors:  Arif Khan; Kaysee Fahl Mar; Jim Faucett; Shirin Khan Schilling; Walter A Brown
Journal:  World Psychiatry       Date:  2017-06       Impact factor: 49.548

Review 5.  Meta-Analysis of Placebo Response in Adult Antidepressant Trials.

Authors:  Fenghua Li; Madeeha Nasir; Baris Olten; Michael H Bloch
Journal:  CNS Drugs       Date:  2019-10       Impact factor: 5.749

6.  The Application of a Machine Learning-Based Brain Magnetic Resonance Imaging Approach in Major Depression.

Authors:  Kyoung-Sae Na; Yong-Ku Kim
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

7.  Network analysis of the genomic basis of the placebo effect.

Authors:  Rui-Sheng Wang; Kathryn T Hall; Franco Giulianini; Dani Passow; Ted J Kaptchuk; Joseph Loscalzo
Journal:  JCI Insight       Date:  2017-06-02

8.  Lipid correlates of antidepressant response to omega-3 polyunsaturated fatty acid supplementation: A pilot study.

Authors:  Licinia Ganança; Hanga C Galfalvy; Maria A Oquendo; Adrienne Hezghia; Thomas B Cooper; J John Mann; M Elizabeth Sublette
Journal:  Prostaglandins Leukot Essent Fatty Acids       Date:  2017-03-10       Impact factor: 4.006

9.  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

10.  Is High Placebo Response Really a Problem in Depression Trials? A Critical Re-analysis of Depression Studies.

Authors:  Mark E Whitlock; Philip W Woodward; Robert C Alexander
Journal:  Innov Clin Neurosci       Date:  2019-07-01
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