Literature DB >> 32093988

Effectiveness of Paroxetine for Poststroke Depression: A Meta-Analysis.

Lijuan Li1, Zhifen Han2, Lingxin Li1, Lin Han3, Bo Yan4.   

Abstract

OBJECTIVE: The purpose of our study is to evaluate the efficacy of paroxetine in poststroke depression (PSD) patients by conducting a meta-analysis.
METHODS: We searched Web of Science (science and social science citation index), PubMed, the Cochrane Central Register of Controlled Trials, Embase up to August 2019. Randomized controlled trials that paroxetine compared to other antidepressants or control treatments as monotherapy for patients with PSD.
RESULTS: This review identified a total of 4 studies including 212 patients. This meta-analysis presented that paroxetine exhibits beneficial efficacy than routine treatment in PSD patients in terms of the reducing score of Hamilton Depression Scale (HAMD). Control treatment is more effective than paroxetine. No significant advantage was found with paroxetine.
CONCLUSIONS: The efficacy of paroxetine maybe not very significant compared to other pharmacological and nonpharmacological interventions. Further high quality and large sample size studies are needed to evaluate the efficacy and safety of paroxetine in treating PSD in future.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Effectiveness; meta-analysis; paroxetine; poststroke: depression

Year:  2020        PMID: 32093988     DOI: 10.1016/j.jstrokecerebrovasdis.2020.104664

Source DB:  PubMed          Journal:  J Stroke Cerebrovasc Dis        ISSN: 1052-3057            Impact factor:   2.136


  2 in total

Review 1.  Efficacy and Safety of Xiaoyao Recipe in the Treatment of Poststroke Depression: A Systematic Review and Meta-Analysis.

Authors:  Dou Wang; Tao Li; Jie Ron; Meiling Mao; Yifan Yang; Yalun Feng; Yongmei Yan
Journal:  Evid Based Complement Alternat Med       Date:  2022-04-13       Impact factor: 2.650

2.  The efficacy of therapies for post-stroke depression in aging: An umbrella review.

Authors:  Jinlu Xie; Xiwen Geng; Fangcheng Fan; Xuyan Fu; Shuaibing He; Tao Li
Journal:  Front Aging Neurosci       Date:  2022-08-23       Impact factor: 5.702

  2 in total

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