Cargando…
Comparative efficacy and acceptability of interventions for major depression in older persons: protocol for Bayesian network meta-analysis
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-anal...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988061/ https://www.ncbi.nlm.nih.gov/pubmed/29358451 http://dx.doi.org/10.1136/bmjopen-2017-019819 |
_version_ | 1783329224311963648 |
---|---|
author | Liew, Tau Ming Lee, Cia Sin |
author_facet | Liew, Tau Ming Lee, Cia Sin |
author_sort | Liew, Tau Ming |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5988061 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-59880612018-06-07 Comparative efficacy and acceptability of interventions for major depression in older persons: protocol for Bayesian network meta-analysis Liew, Tau Ming Lee, Cia Sin BMJ Open Mental Health 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. BMJ Publishing Group 2018-01-21 /pmc/articles/PMC5988061/ /pubmed/29358451 http://dx.doi.org/10.1136/bmjopen-2017-019819 Text en © 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. This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Mental Health Liew, Tau Ming Lee, Cia Sin Comparative efficacy and acceptability of interventions for major depression in older persons: protocol for Bayesian network meta-analysis |
title | Comparative efficacy and acceptability of interventions for major depression in older persons: protocol for Bayesian network meta-analysis |
title_full | Comparative efficacy and acceptability of interventions for major depression in older persons: protocol for Bayesian network meta-analysis |
title_fullStr | Comparative efficacy and acceptability of interventions for major depression in older persons: protocol for Bayesian network meta-analysis |
title_full_unstemmed | Comparative efficacy and acceptability of interventions for major depression in older persons: protocol for Bayesian network meta-analysis |
title_short | Comparative efficacy and acceptability of interventions for major depression in older persons: protocol for Bayesian network meta-analysis |
title_sort | comparative efficacy and acceptability of interventions for major depression in older persons: protocol for bayesian network meta-analysis |
topic | Mental Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988061/ https://www.ncbi.nlm.nih.gov/pubmed/29358451 http://dx.doi.org/10.1136/bmjopen-2017-019819 |
work_keys_str_mv | AT liewtauming comparativeefficacyandacceptabilityofinterventionsformajordepressioninolderpersonsprotocolforbayesiannetworkmetaanalysis AT leeciasin comparativeefficacyandacceptabilityofinterventionsformajordepressioninolderpersonsprotocolforbayesiannetworkmetaanalysis |