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

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 and Nicholas W S Chew

PLOS ONE, 2022, vol. 17, issue 11, 1-17

Abstract: Background: Post-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 findings: Three 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. Conclusion: This 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.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0278326

DOI: 10.1371/journal.pone.0278326

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