Efficacy and safety of agomelatine and SSRIs in the treatment of depressive disorder： a network Meta-analysis
10.11886/scjsws20220106001
- VernacularTitle:阿戈美拉汀与SSRIs治疗抑郁症的效果及安全性网状Meta分析
- Author:
Huihui GUO
1
;
Zhongqiu ZHAO
1
;
Ruiping HUO
1
;
Feng JI
1
Author Information
1. School of Mental Health， Jining Medical University， Jining 272067， China
- Publication Type:Journal Article
- Keywords:
Agomelatin;
SSRIs;
Depressive disorder;
Network Meta-analysis
- From:
Sichuan Mental Health
2022;35(3):257-265
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo evaluate the efficacy and safety of agomelatin and selective serotonin reuptake inhibitors （SSRIs） in the treatment of depressive disorder via network Meta-analysis. MethodsThe literature databases such as China National Knowledge Network （CNKI）， Wanfang Data Knowledge Service Platform， VIP Database for Chinese Technical Periodical （VIP）， Chinese Biomedical Literature Database （CBM）， PubMed， Embase and Cochrane Library were searched from the inception to November 2021. Based on the preset inclusion and exclusion criteria， literature screening， quality assessment of methodology and data extraction were conducted by two researchers separately， then statistical analysis was carried out using ADDIS software. ResultsA total of 7 256 patients with depressive disorder in 22 randomized controlled trials were included. According to the consistency assessed in Bayesian network Meta-analysis and the estimation of the probability of being the best treatment， escitalopram （P=0.63） ranked first for response rate and paroxetine （P=0.31） was associated with the best ranking for cure rate in terms of the effectiveness， meantime， paroxetine （P=0.44） had the highest adverse events risk and sertraline （P=0.74） had the highest study drop-outs proportion in terms of safety. ConclusionEscitalopram and paroxetine may be superior to sertraline， agomelatine， citalopram and fluoxetine in the treatment of depressive disorder， furthermore， paroxetine and sertraline demonstrate poor safety profiles.
