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Side effect profile and comparative tolerability of 21 antidepressants in the acute treatment of major depression in adults: protocol for a network meta-analysis.

Authors :
Tomlinson A
Efthimiou O
Boaden K
New E
Mather S
Salanti G
Imai H
Ogawa Y
Tajika A
Kishimoto S
Kikuchi S
Chevance A
Furukawa TA
Cipriani A
Source :
Evidence-based mental health [Evid Based Ment Health] 2019 May; Vol. 22 (2), pp. 61-66. Date of Electronic Publication: 2019 Apr 17.
Publication Year :
2019

Abstract

Introduction: We have recently compared all second-generation as well as selected first-generation antidepressants in terms of efficacy and acceptability in the acute treatment of major depression. Here we present a protocol for a network meta-analysis aimed at extending these results, updating the evidence base and comparing all second-generation as well as selected first-generation antidepressants in terms of specific adverse events and tolerability in the acute treatment of major depression in adults.<br />Methods and Analysis: We will include all double-blind randomised controlled trials comparing one active drug with another or with placebo in the acute treatment major depression in adults. We will compare the following active agents: agomelatine, amitriptyline, bupropion, citalopram, clomipramine, desvenlafaxine, duloxetine, escitalopram, fluoxetine, fluvoxamine, levomilnacipran, milnacipran, mirtazapine, nefazodone, paroxetine, reboxetine, sertraline, trazodone, venlafaxine, vilazodone and vortioxetine. The main outcomes will include the total number of patients experiencing specific adverse events; experiencing serious adverse events; and experiencing at least one adverse event. Published and unpublished studies will be retrieved through relevant database searches, trial registries and websites; reference selection and data extraction will be completed by at least two independent reviewers. For each outcome we will undertake a network meta-analysis to synthesise all evidence. We will use local and global methods to evaluate consistency. We will perform all analyses in R. We will assess the quality of evidence contributing to network estimates with the Confidence in Network Meta-Analysis web application.<br />Discussion: This work will provide an in- depth analysis and an insight into the specific adverse events of individual antidepressants.<br />Ethics and Dissemination: This review does not require ethical approval.<br />Prospero Registration Number: CRD42019128141.<br />Competing Interests: Competing interests: SK reports grants from the Mental Health Okamoto Memorial Foundation, Pfizer Health Research Foundation and KDDI Foundation outside the submitted work. IH reports lecture fees from Mitsubishi-Tanabe and Yoshitomi. TAF reports personal fees from Meiji, Mitsubishi-Tanabe, MSD and Pfizer and a grant from Mitsubishi-Tanabe, outside the submitted work; TAF has a pending patent 2018-177688. All other authors report no conflict of interest<br /> (© Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.)

Details

Language :
English
ISSN :
1468-960X
Volume :
22
Issue :
2
Database :
MEDLINE
Journal :
Evidence-based mental health
Publication Type :
Academic Journal
Accession number :
30996028
Full Text :
https://doi.org/10.1136/ebmental-2019-300087