黛力新对脑卒中后焦虑的疗效的Meta分析
[Abstract]:Background: post-stroke anxiety disorder (PSAD) is one of the common complications after cerebrovascular disease, because it can seriously affect the quality of life of patients and their caregivers, and even increase the fatality rate of cerebrovascular disease patients. Therefore, the early diagnosis and treatment of post-stroke anxiety is an effective way to improve the quality of life and reduce the mortality of patients and caregivers. However, there are few clinical studies on drug treatment of post-stroke anxiety. Delixine is an effective compound for anxiety disorder. However, only a small number of trials have studied the therapeutic effect of Delixin on post-stroke anxiety. Aim: to evaluate the efficacy of Delixin in the treatment of post-stroke anxiety by Meta analysis, and to provide evidence-based medicine for the treatment of post-stroke anxiety. Methods: a computer-based search database (Cochrance Library,PubMed,WANFANG,CNKI,WEIPU et al.) was used to review the published literatures on the treatment of post-stroke anxiety with Delixin from 1989 to 2017. According to the criteria of inclusion and exclusion, the literature was screened, the methods and quality of the selected articles were evaluated, and the data of the articles were analyzed by using RevMan5.1 software. Results: six randomized controlled trials (RCT) were selected and included in 6 randomized controlled trials (RCTs) with a total of 600 patients. According to the data of Meta analysis, it was concluded that Delixin was effective in the treatment of post-stroke anxiety (OR = 7.10 95%CI = 4.36, 11.55, P 0.05, I _ 2 ~ 0). Conclusion: according to the Meta analysis of the existing RCT test, it is concluded that Delixin has a definite therapeutic effect on post-stroke anxiety. However, the results may be biased because of the low quality RCT, and the sample size of the literature is small. Therefore, more high quality, large sample size RCT should be carried out to verify the results.
【学位授予单位】:重庆医科大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:R743.3;R749.72
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