Literature DB >> 17168253

A metaanalysis of clinical trials comparing moclobemide with selective serotonin reuptake inhibitors for the treatment of major depressive disorder.

George I Papakostas1, Maurizio Fava.   

Abstract

OBJECTIVE: To compare response rates among patients with major depressive disorder (MDD) treated with either moclobemide, an antidepressant thought to simultaneously enhance both noradrenergic and serotonergic neurotransmission, or selective serotonin reuptake inhibitors (SSRIs).
METHODS: Using a random-effects model, we combined 12 trials involving 1207 outpatients with MDD.
RESULTS: Patients treated with moclobemide were as likely to experience clinical response as those treated with SSRIs (risk ratio 1.08; 95% confidence interval, 0.92 to 1.26; P = 0.314). Simply pooling response rates for the 2 agents resulted in a 62.1% response rate for moclobemide and a 57.5% response rate for the SSRIs. A metaregression did not reveal a statistically significant relation between the mean moclobemide dosage for each study and the risk ratio for response rates. Further, we found no difference between the 2 treatments in overall discontinuation rates, discontinuation rates due to adverse events, or discontinuation rates due to lack of efficacy. Also, rates of fatigue or somnolence and of insomnia were similar between the 2 treatment groups. However, SSRI treatment was associated with higher rates of nausea, headaches, and treatment-emergent anxiety than was treatment with moclobemide.
CONCLUSIONS: These results suggest that moclobemide and the SSRIs do differ with respect to their side effect profiles but not in their overall efficacy in the treatment of MDD.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 17168253     DOI: 10.1177/070674370605101208

Source DB:  PubMed          Journal:  Can J Psychiatry        ISSN: 0706-7437            Impact factor:   4.356


  7 in total

1.  General and comparative efficacy and effectiveness of antidepressants in the acute treatment of depressive disorders: a report by the WPA section of pharmacopsychiatry.

Authors:  Thomas C Baghai; Pierre Blier; David S Baldwin; Michael Bauer; Guy M Goodwin; Kostas N Fountoulakis; Siegfried Kasper; Brian E Leonard; Ulrik F Malt; Dan Stein; Marcio Versiani; Hans-Jürgen Möller
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2011-11       Impact factor: 5.270

2.  The FKBP5-gene in depression and treatment response--an association study in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) Cohort.

Authors:  Magnus Lekman; Gonzalo Laje; Dennis Charney; A John Rush; Alexander F Wilson; Alexa J M Sorant; Robert Lipsky; Stephen R Wisniewski; Husseini Manji; Francis J McMahon; Silvia Paddock
Journal:  Biol Psychiatry       Date:  2008-01-11       Impact factor: 13.382

3.  Quetiapine monotherapy in acute phase for major depressive disorder: a meta-analysis of randomized, placebo-controlled trials.

Authors:  Narong Maneeton; Benchalak Maneeton; Manit Srisurapanont; Stephen D Martin
Journal:  BMC Psychiatry       Date:  2012-09-27       Impact factor: 3.630

4.  A role of Yueju in fast-onset antidepressant action on major depressive disorder and serum BDNF expression: a randomly double-blind, fluoxetine-adjunct, placebo-controlled, pilot clinical study.

Authors:  Ruyan Wu; Dandan Zhu; Youchun Xia; Haosen Wang; Weiwei Tao; Wenda Xue; Baomei Xia; Li Ren; Xin Zhou; Guochun Li; Gang Chen
Journal:  Neuropsychiatr Dis Treat       Date:  2015-08-06       Impact factor: 2.570

5.  A wavelet-based technique to predict treatment outcome for Major Depressive Disorder.

Authors:  Wajid Mumtaz; Likun Xia; Mohd Azhar Mohd Yasin; Syed Saad Azhar Ali; Aamir Saeed Malik
Journal:  PLoS One       Date:  2017-02-02       Impact factor: 3.240

Review 6.  Toward achieving optimal response: understanding and managing antidepressant side effects.

Authors:  Karen Kelly; Michael Posternak; Jonathan E Alpert
Journal:  Dialogues Clin Neurosci       Date:  2008       Impact factor: 5.986

7.  Korean Medication Algorithm for Depressive Disorders 2017: Third Revision.

Authors:  Jeong Seok Seo; Won-Myong Bahk; Hee Ryung Wang; Young Sup Woo; Young-Min Park; Jong-Hyun Jeong; Won Kim; Se-Hoon Shim; Jung Goo Lee; Duk-In Jon; Kyung Joon Min
Journal:  Clin Psychopharmacol Neurosci       Date:  2018-02-28       Impact factor: 2.582

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.