Abstract

Post-stroke depression (PSD) is an important complication of stroke, leading to increased disability and mortality. Given that there is no consensus on which treatment is optimal for PSD, we aimed to evaluate the relative efficacies of available pharmacological and non-pharmacological interventions. We conducted a network meta-analysis to incorporate evidence from relevant trials and provide direct and indirect comparisons. We searched PubMed, Cochrane Library Central Register of Controlled Trials, and Embase until November 1, 2016 for randomized controlled trials involving different pharmacological and non-pharmacological PSD treatment interventions. The primary outcome was reduction in the Hamilton depression scale (HAMD) score. This study is registered with PROSPERO (number, CRD42016049049). Of a total of 1,152 studies, 23 randomized trials comprising 1,542 participants were included. Nine PSD treatment interventions were considered. Noradrenaline reuptake inhibitor (NRI) was associated with the highest reduction in the HAMD score, followed by tricyclic antidepressant (TCA), psychotherapy plus antidepressant, and selective serotonin reuptake inhibitor (SSRI). This study indicated that NRIs, SSRIs, and TCAs are associated with a considerable higher HAMD score reduction compared with the control treatment. rTMS is a beneficial therapeutic approach for managing PSD to obtain good response to treatments compared with the control treatment.

Details

Title
Interventions for management of post-stroke depression: A Bayesian network meta-analysis of 23 randomized controlled trials
Author
Deng, Linghui 1 ; Sun, Xuejun 2 ; Qiu, Shi 3 ; Yao, Xiong 1 ; Li, Yuxiao 1 ; Wang, Lu 1 ; Wei, Qiang 3 ; Wang, Deren 1 ; Liu, Ming 1 

 Stroke Clinical Research Unit, Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China 
 Second Department of Psychiatry, Kangning Hospital, Anshan, Liaoning, China 
 Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, China 
Pages
1-12
Publication year
2017
Publication date
Nov 2017
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1969903910
Copyright
© 2017. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.