Acupuncture compares with Western medicine for climacteric depression

Authors

  • Quan Xiao Hong Traditional Therapy Centre, The Second Clinical College of Guangzhou University of Chinese Medicine, 510120, Guangzhou
  • Ma Hong Department of Rehabilitation, Binzhou Medical University, 264003,Yantai
  • Li Ying Traditional Therapy Centre, The Second Clinical College of Guangzhou University of Chinese Medicine, 510120, Guangzhou
  • Wu Cai Traditional Therapy Centre, The Second Clinical College of Guangzhou University of Chinese Medicine, 510120, Guangzhou
  • Chen Xiu Hua Traditional Therapy Centre, The Second Clinical College of Guangzhou University of Chinese Medicine, 510120, Guangzhou

DOI:

https://doi.org/10.3329/bjp.v11iS1.26799

Keywords:

Acupuncture, Depression, Western medicine

Abstract

The aim of this study was to assess the clinical efficacy and safety of acupuncture for climacteric depression. Two reviewers searched major databases independently. The quality assessment and data analysis were evaluated by Cochrane reviews 5.3.0. Seventeen clinical trials were included, contained 1,369 cases. Meta-analysis of acupuncture comparing with medicine showed that: a) Affective rate: [OR = 1.44, 95% CI (1.02, 2.04)], the difference had statistically significance; b) HAMA score : [MD = -2.12, 95% CI (-2.85, -1.40)], the difference had statistically significance; c) HAMD score: The difference of the 2nd week, 4th week, 6th week, 8th week, or 12th week was not statistically significant; d) Kupperman score: [MD = -5.05, 95% CI (-11.94, 1.84)] showed no statistical significance; e) Incidence of adverse events of acupuncture (2.7%) was significantly less than the control group (20%). In conclusion acupuncture will help to improve depressive symptoms of climacteric and decrease adverse reactions.

 

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Published

2016-03-10

How to Cite

Hong, Q. X., M. Hong, L. Ying, W. Cai, and C. X. Hua. “Acupuncture Compares With Western Medicine for Climacteric Depression”. Bangladesh Journal of Pharmacology, vol. 11, no. S1, Mar. 2016, pp. S144-S153, doi:10.3329/bjp.v11iS1.26799.

Issue

Vol. 11 (2016): Special Issue

Section

Meta-Analysis

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