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A network meta-analysis of 12,116 individuals from randomized controlled trials in the treatment of depression after acute coronary syndrome.

Authors :
Grace En Hui Lim
Ansel Tang
Yip Han Chin
Jie Ning Yong
Darren Tan
Phoebe Tay
Yu Yi Chan
Denzel Ming Wei Lim
Jun Wei Yeo
Kai En Chan
Kamala Devi
Colin Eng Choon Ong
Roger S Y Foo
Huay-Cheem Tan
Mark Y Chan
Roger Ho
Poay Huan Loh
Nicholas W S Chew
Source :
PLoS ONE, Vol 17, Iss 11, p e0278326 (2022)
Publication Year :
2022
Publisher :
Public Library of Science (PLoS), 2022.

Abstract

BackgroundPost-acute coronary syndrome (ACS) depression is a common but not well understood complication experienced by ACS patients. Research on the effectiveness of various therapies remains limited. Hence, we sought to conduct a network meta-analysis to assess the efficacy of different interventions for post-ACS depression in improving patient outcomes.Methods and findingsThree electronic databases were searched for randomised controlled trials describing different depression treatment modalities in post-ACS patients. Each article was screened based on inclusion criteria and relevant data were extracted. A bivariate analysis and a network meta-analysis was performed using risk ratios (RR) and standardized mean differences (SMD) for binary and continuous outcomes, respectively. A total of 30 articles were included in our analysis. Compared to standard care, psychosocial therapy was associated with the greatest reduction in depression scores (SMD:-1.21, 95% CI: -1.81 to -0.61, pConclusionThis network meta-analysis found that the treatment effect of the various psychological modalities on depression severity were similar. Future trials on psychological interventions assessing clinical outcomes and improvement in adherence to ACS-specific interventions are needed.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
19326203
Volume :
17
Issue :
11
Database :
Directory of Open Access Journals
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
edsdoj.648e40e07ae4bb3b7b1466e53cf0912
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pone.0278326