Literature DB >> 32074273

Individual Differences in Response to Antidepressants: A Meta-analysis of Placebo-Controlled Randomized Clinical Trials.

Marta M Maslej1,2, Toshiaki A Furukawa3,4, Andrea Cipriani5,6, Paul W Andrews7, Benoit H Mulsant1,2.   

Abstract

Importance: Antidepressants are commonly used worldwide to treat major depressive disorder. Symptomatic response to antidepressants can vary depending on differences between individuals; however, this variability may reflect nonspecific or random factors.
Objectives: To investigate the assumption of systematic variability in symptomatic response to antidepressants and to assess whether this variability is associated with severity of major depressive disorder, antidepressant class, or year of study publication. Data Sources: Data used were from a recent network meta-analysis of acute treatment with licensed antidepressants in adults with major depressive disorder. The following databases were searched from inception to January 8, 2016: the Cochrane Central Register of Controlled Trials, CINAHL, Embase, LILACS database, MEDLINE, MEDLINE In-Process, and PsycINFO. Additional sources were international trial registries, drug approval agency websites, and key scientific journals. Study Selection: Analysis was restricted to double-blind, randomized placebo-controlled trials with available data at the study's end point. Data Extraction and Synthesis: Baseline and end point means, SDs, number of participants in each group, antidepressant class, and publication year were extracted. The data were analyzed between August 14 and November 18, 2019. Main Outcomes and Measures: With the use of validated methods, coefficients of variation were derived for antidepressants and placebo, and their ratios were calculated to compare outcome variability between antidepressant and placebo. Ratios were entered into a random-effects model, with the expectation that response to antidepressants would be more variable than response to placebo. Analysis was repeated after stratifying by baseline severity of depression, antidepressant class (selective serotonin reuptake inhibitors: citalopram, escitalopram, fluoxetine, fluvoxamine, paroxetine, sertraline, and vilazodone; serotonin and norepinephrine reuptake inhibitors: desvenlafaxine and venlafaxine; norepinephrine-dopamine reuptake inhibitor: bupropion; noradrenergic agents: amitriptyline and reboxetine; and other antidepressants: agomelatine, mirtazapine, and trazodone), and publication year.
Results: In the 87 eligible randomized placebo-controlled trials (17 540 unique participants), there was significantly more variability in response to antidepressants than to placebo (coefficients of variation ratio, 1.14; 95% CI, 1.11-1.17; P < .001). Baseline severity of depression did not moderate variability in response to antidepressants. Variability in response to selective serotonin reuptake inhibitors was lower than variability in response to noradrenergic agents (coefficients of variation ratio, 0.88; 95% CI, 0.80-0.97; P = .01), as was the variability in response to other antidepressants compared with noradrenergic agents (coefficients of variation ratio, 0.87; 95% CI, 0.79-0.97; P = .001). Variability also tended to be lower in studies that were published more recently, with coefficients of variation changing by a value of 0.005 (95% CI, 0.002-0.008; P = .003) for every year a study is more recent. Conclusions and Relevance: Individual differences may be systematically associated with responses to antidepressants in major depressive disorder beyond placebo effects or statistical factors. This study provides empirical support for identifying moderators and personalizing antidepressant treatment.

Entities:  

Year:  2020        PMID: 32074273      PMCID: PMC7042922          DOI: 10.1001/jamapsychiatry.2019.4815

Source DB:  PubMed          Journal:  JAMA Psychiatry        ISSN: 2168-622X            Impact factor:   21.596


  91 in total

1.  Is prior course of illness relevant to acute or longer-term outcomes in depressed out-patients? A STAR*D report.

Authors:  A J Rush; S R Wisniewski; S Zisook; M Fava; S C Sung; C L Haley; H N Chan; W S Gilmer; D Warden; A A Nierenberg; G K Balasubramani; B N Gaynes; M H Trivedi; S D Hollon
Journal:  Psychol Med       Date:  2011-10-19       Impact factor: 7.723

2.  The use of venlafaxine in the treatment of major depression and major depression associated with anxiety: a dose-response study. Venlafaxine Investigator Study Group.

Authors:  A Khan; G V Upton; R L Rudolph; R Entsuah; S M Leventer
Journal:  J Clin Psychopharmacol       Date:  1998-02       Impact factor: 3.153

3.  A placebo-controlled inpatient comparison of fluvoxamine maleate and imipramine in major depression.

Authors:  J P Feighner; W F Boyer; C H Meredith; G G Hendrickson
Journal:  Int Clin Psychopharmacol       Date:  1989-07       Impact factor: 1.659

4.  A double-blind, placebo-controlled comparison of venlafaxine and fluoxetine treatment in depressed outpatients.

Authors:  Charles B Nemeroff; Michael E Thase
Journal:  J Psychiatr Res       Date:  2005-09-12       Impact factor: 4.791

5.  A placebo-controlled study of fluoxetine versus imipramine in the acute treatment of atypical depression.

Authors:  P J McGrath; J W Stewart; M N Janal; E Petkova; F M Quitkin; D F Klein
Journal:  Am J Psychiatry       Date:  2000-03       Impact factor: 18.112

6.  Efficacy and safety of vilazodone in major depressive disorder: a randomized, double-blind, placebo-controlled trial.

Authors:  Harry A Croft; Nunzio Pomara; Carl Gommoll; Dalei Chen; Rene Nunez; Maju Mathews
Journal:  J Clin Psychiatry       Date:  2014-11       Impact factor: 4.384

7.  Selecting among second-step antidepressant medication monotherapies: predictive value of clinical, demographic, or first-step treatment features.

Authors:  A John Rush; Stephen R Wisniewski; Diane Warden; James F Luther; Lori L Davis; Maurizio Fava; Andrew A Nierenberg; Madhukar H Trivedi
Journal:  Arch Gen Psychiatry       Date:  2008-08

8.  Cianopramine and amitriptyline in the treatment of depressed patients--a placebo-controlled study.

Authors:  L Hormazabal; L M Omer; S Ismail
Journal:  Psychopharmacology (Berl)       Date:  1985       Impact factor: 4.530

9.  Reevaluating the Efficacy and Predictability of Antidepressant Treatments: A Symptom Clustering Approach.

Authors:  Adam M Chekroud; Ralitza Gueorguieva; Harlan M Krumholz; Madhukar H Trivedi; John H Krystal; Gregory McCarthy
Journal:  JAMA Psychiatry       Date:  2017-04-01       Impact factor: 21.596

10.  Blue again: perturbational effects of antidepressants suggest monoaminergic homeostasis in major depression.

Authors:  Paul W Andrews; Susan G Kornstein; Lisa J Halberstadt; Charles O Gardner; Michael C Neale
Journal:  Front Psychol       Date:  2011-07-07
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  4 in total

1.  Note Added to Indicate Related Article Was Retracted.

Authors: 
Journal:  JAMA Psychiatry       Date:  2020-08-01       Impact factor: 21.596

2.  Creating sparser prediction models of treatment outcome in depression: a proof-of-concept study using simultaneous feature selection and hyperparameter tuning.

Authors:  Nicolas Rost; Tanja M Brückl; Nikolaos Koutsouleris; Elisabeth B Binder; Bertram Müller-Myhsok
Journal:  BMC Med Inform Decis Mak       Date:  2022-07-14       Impact factor: 3.298

3.  β-Arrestin2-biased Drd2 agonist UNC9995 alleviates astrocyte inflammatory injury via interaction between β-arrestin2 and STAT3 in mouse model of depression.

Authors:  Yang Liu; Nanshan Song; Hang Yao; Siyuan Jiang; Yueping Wang; Ying Zheng; Yuanzhang Zhou; Jianhua Ding; Gang Hu; Ming Lu
Journal:  J Neuroinflammation       Date:  2022-10-01       Impact factor: 9.587

4.  On the treatment effect heterogeneity of antidepressants in major depression: A Bayesian meta-analysis and simulation study.

Authors:  Constantin Volkmann; Alexander Volkmann; Christian A Müller
Journal:  PLoS One       Date:  2020-11-11       Impact factor: 3.240

  4 in total

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