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      Comparative efficacy and acceptability of antidepressants in the long-term treatment of major depression: protocol for a systematic review and networkmeta-analysis

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          Abstract

          Introduction

          Pharmacotherapy plays an important role in the treatment of major depression. At the initiation of antidepressant treatment, both improvement of symptoms in the short term and relapse prevention in the long term should be taken into account. However, there is insufficient evidence regarding the efficacy and the acceptability of continuation/maintenance treatments and the relative efficacy/acceptability of antidepressants.

          Objective

          We will conduct a pairwise meta-analysis and a network meta-analysis (NMA) to examine the relative efficacy, tolerability and acceptability of antidepressants in the long-term treatment of major depression.

          Methods and analysis

          We will include double-blind randomised controlled trials comparing any of the following antidepressants, which we included in our previous NMA of the acute treatment for major depression, with placebo or with another active drug for long-term treatment of major depression: agomelatine, amitriptyline, bupropion, citalopram, clomipramine, desvenlafaxine, duloxetine, escitalopram, fluoxetine, fluvoxamine, levomilnacipran, milnacipran, mirtazapine, nefazodone, paroxetine, reboxetine, sertraline, trazodone, venlafaxine, vilazodone and vortioxetine. Our primary outcomes will be sustained response and all-cause dropouts. We will include four types of designs that are used to investigate long-term treatment. We will conduct two main analyses. First, we will conduct a pairwise meta-analysis comparing all antidepressants versus placebo to investigate whether continuing antidepressants after achieving a positive response in the acute-phase treatment is beneficial and/or safe. Second, we will conduct an NMA to examine the comparative efficacy and acceptability of the drugs. We will use a novel approach that will combine the results of acute-phase treatment NMA with long-term treatment studies to include all related designs in the NMA. We will ensure the validity of combining different designs and our new approach by checking the distribution of important effect modifiers and consistency of network.

          Ethics and dissemination

          This study did not require ethical approval. We will disseminate our findings by publishing results in a peer-reviewed journal.

          PROSPERO registration number

          CRD42018114561; Pre-results.

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          Most cited references21

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          Multivariate and network meta-analysis of multiple outcomes and multiple treatments: rationale, concepts, and examples

          Organisations such as the National Institute for Health and Care Excellence require the synthesis of evidence from existing studies to inform their decisions—for example, about the best available treatments with respect to multiple efficacy and safety outcomes. However, relevant studies may not provide direct evidence about all the treatments or outcomes of interest. Multivariate and network meta-analysis methods provide a framework to address this, using correlated or indirect evidence from such studies alongside any direct evidence. In this article, the authors describe the key concepts and assumptions of these methods, outline how correlated and indirect evidence arises, and illustrate the contribution of such evidence in real clinical examples involving multiple outcomes and multiple treatments
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            Comparative efficacy and acceptability of first-generation and second-generation antidepressants in the acute treatment of major depression: protocol for a network meta-analysis

            Introduction Many antidepressants are indicated for the treatment of major depression. Two network meta-analyses have provided the most comprehensive assessments to date, accounting for both direct and indirect comparisons; however, these reported conflicting interpretation of results. Here, we present a protocol for a systematic review and network meta-analysis aimed at updating the evidence base and comparing all second-generation as well as selected first-generation antidepressants in terms of efficacy and acceptability in the acute treatment of major depression. Methods and analysis We will include all randomised controlled trials reported as double-blind and comparing one active drug with another or with placebo in the acute phase treatment of major depression in adults. We are interested in comparing 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 be the proportion of patients who responded to or dropped out of the allocated treatment. Published and unpublished studies will be sought through relevant database searches, trial registries and websites; all reference selection and data extraction will be conducted by at least two independent reviewers. We will conduct a random effects network meta-analysis to synthesise all evidence for each outcome and obtain a comprehensive ranking of all treatments. To rank the various treatments for each outcome, we will use the surface under the cumulative ranking curve and the mean ranks. We will employ local as well as global methods to evaluate consistency. We will fit our model in a Bayesian framework using OpenBUGS, and produce results and various checks in Stata and R. We will also assess the quality of evidence contributing to network estimates of the main outcomes with the GRADE framework. Ethics and dissemination This review does not require ethical approval. PROSPERO registration number CRD42012002291.
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              Practical guide to the meta-analysis of rare events

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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2019
                19 May 2019
                : 9
                : 5
                : e027574
                Affiliations
                [1 ] departmentDepartments of Health Promotion and Human Behavior and of Clinical Epidemiology , Kyoto University Graduate School of Medicine/School of Public Health , Kyoto, Japan
                [2 ] departmentInstitute of Social and Preventive Medicine , University of Bern , Bern, Switzerland
                [3 ] University of Milan , Milano, Lombardia, Italy
                [4 ] departmentDepartment of Psychiatry , University of Oxford , Oxford, UK
                [5 ] departmentOxford Health NHS Foundation Trust , Warneford Hospital , Oxford, UK
                [6 ] departmentDepartment of Psychiatry , Massachusetts General Hospital , Boston, Massachusetts, USA
                [7 ] departmentDepartment of Psychiatry , Radboud University , Nijmegen, the Netherlands
                Author notes
                [Correspondence to ] Dr Kiyomi Shinohara; kiyomi.wb3@ 123456gmail.com
                Author information
                http://orcid.org/0000-0003-3527-4004
                http://orcid.org/0000-0001-5179-8321
                Article
                bmjopen-2018-027574
                10.1136/bmjopen-2018-027574
                6530313
                31110100
                0c42b4ee-47d0-4a76-bc00-33ac45fa6119
                © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 29 October 2018
                : 22 February 2019
                : 27 March 2019
                Funding
                Funded by: National Institute for Health Research (NIHR) Oxford Health Biomedical Research Centre;
                Funded by: NIHR Research Professorship;
                Categories
                Mental Health
                Protocol
                1506
                1712
                Custom metadata
                unlocked

                Medicine
                depression,antidepressants,long-term treatment,network meta-analysis,relapse prevention
                Medicine
                depression, antidepressants, long-term treatment, network meta-analysis, relapse prevention

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