Effectiveness and safety of Chaihu-Shugan-San for treating depression based on clinical cases: An updated systematic review and meta-analysis

Author:

Zhang Xiaohang12,Zhao Qiulong3,Wang Yang4,Mao Yaqing5,Sun Yue5,Bian Xiaokun1ORCID

Affiliation:

1. Department of Pharmacy, The First People’s Hospital of Yancheng, Yancheng, Jiangsu, China

2. School of Integrated Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China

3. Department of Pharmacy, Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine, Shenzhen, Guangdong, China

4. Department of Pharmacy, Children's Hospital of Soochow University, Suzhou, Jiangsu, China

5. School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.

Abstract

Background: Chaihu-Shugan-San (CSS), a Traditional Chinese Medicine formula, has been widely used for treating depression since the Ming Dynasty, as recorded in Jingyue Quanshu, but its effectiveness and safety lack comprehensive and objective evaluation. Based on our meta-analysis, we aimed to adequately evaluate the efficacy and risk of CSS by considering the latest clinical literature. Methods: Multiple databases, including PubMed, Embase, Web of Science, SinoMed, China National Knowledge Infrastructure, Chongqing VIP, and Wanfang, were used to collect clinical data. The quality of the included clinical studies was assessed using the Cochrane Risk of Bias Tool, and the data were meta-analyzed using Review Manager 5.0 and Stata 17. The data were obtained from a genome-wide association study, and Mendelian randomization (MR) was performed using R Software 4.3.2 with the TwoSampleMR and MR Pleiotropy RESidual Sum and Outlier packages. Results: A total of 15 studies with 1034 patients and 6 antidepressant drugs were included in this work. Meta-analyses revealed that drug combinations of CSS and antidepressants significantly improved depressive symptoms (weighted mean difference = −4.21; 95% confidence interval [CI]: −5.62–−2.81), increased the effective rate (odds ratio [OR] = 3.82; 95% CI: 2.44–6.83), and reduced side effects (OR = −3.55; 95% CI: −5.66–−1.43) compared with antidepressant monotherapy. Additionally, compared with antidepressant monotherapy, CSS alone exhibited fewer side effects (95% CI:−9.25–−6.95). Like antidepressants, CSS also improved depressive symptoms (weighted mean difference = −0.05; 95% CI: −0.63–−0.52) and increased the effective rate (OR = 1.07; 95% CI: 0.52–2.20). Additionally, MR was used to evaluate the safety of traditional antidepressants, as there was a causal association between amitriptyline and body mass index. Conclusion: This analysis demonstrated that compared with traditional antidepressants, CSS combined with antidepressants was more effective and safer for treating depressed patients. MR showed that a causal relationship may exist between amitriptyline and body mass index. Therefore, clinicians should carefully consider the advantages and potential drawbacks of Traditional Chinese Medicine and classic drugs to serve patients better.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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