Please use this identifier to cite or link to this item: https://doi.org/10.1136/bmjopen-2017-019819
Title: Comparative efficacy and acceptability of interventions for major depression in older persons: Protocol for Bayesian network meta-analysis
Authors: Liew, T.M. 
Lee, C.S.
Keywords: acceptability
efficacy
major depression
network meta-analysis
older person
Issue Date: 2018
Publisher: BMJ Publishing Group
Citation: Liew, T.M., Lee, C.S. (2018). Comparative efficacy and acceptability of interventions for major depression in older persons: Protocol for Bayesian network meta-analysis. BMJ Open 8 (1) : e019819. ScholarBank@NUS Repository. https://doi.org/10.1136/bmjopen-2017-019819
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Abstract: Introduction Major depression is a leading cause of disability and has been associated with adverse effects in older persons. While many pharmacological and non-pharmacological interventions have been shown to be effective to address major depression in older persons, there has not been a meta-analysis that consolidates all the available interventions and compare the relative benefits of these available interventions. In this study, we aim to conduct a systematic review and network meta-analysis to compare the efficacy and acceptability of all the known pharmacological and non-pharmacological interventions for major depression in older persons. Methods and analysis We will search Medline, Embase, PsycINFO, Cumulative Index to Nursing and Allied Health, Cochrane Central Register of Controlled Trials and references of other review articles for articles related to the keywords of 'randomised trial', 'major depression', 'older persons' and 'treatments'. Two reviewers will independently select the eligible articles. For each included article, the two reviewers will independently extract the data and assess the risk of bias using the Cochrane revised tool for risk of bias. Bayesian network meta-analyses will be conducted to pool the depression scores (based on standardised mean difference) and the all-cause discontinuation across all included studies. The ranking probabilities for all interventions will be estimated and the hierarchy of each intervention will be summarised as surface under the cumulative ranking curve (SUCRA). Meta-regression and sub-group analyses will also be performed to evaluate the effect of study-level covariates. The quality of the evidence will be assessed using the Grading of Recommendations Assessment, Development and Evaluation approach. Ethics and dissemination The results will be disseminated through conference presentations and peer-reviewed publications. They will provide the consolidated evidence to inform clinicians on the best choice of intervention to address major depression in older persons. PROSPERO registration number CRD42017075756. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
Source Title: BMJ Open
URI: https://scholarbank.nus.edu.sg/handle/10635/210901
ISSN: 20446055
DOI: 10.1136/bmjopen-2017-019819
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
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