A Computational Framework to Study the Effect of Acupuncture on Obesity by Integrating Multiple Levels of Data. (17th October 2020)

• Record Type: Journal Article
• Authors: Liu, Huihui; Liu, Mingjun; Jiao, Yingbo; Wei, Le; Liu, Xiaochen; Li, Dandan; Zhang, Xiaolin; Yan, Minghui; Chen, Jinming
• Other Names: Yang Jialiang Academic Editor.
• Is Part Of: BioMed research international. Volume 2020(2020)
• Publication Date: 2020-10-17
• Subjects: Medicine -- Periodicals; Biology -- Periodicals; Biotechnology -- Periodicals; Life sciences -- Periodicals; 610.5
• DOI: 10.1155/2020/8513860
• Languages: English
• ISSNs: 2314-6133

Abstract

Abstract : In this study, we evaluated the efficacy of acupuncture in the treatment of obesity by a computational framework integrating randomized controlled trials published in China and abroad. Specifically, clinical trial documents published on CNKI, VIP, Wanfang, PubMed, Embase, and the Cochrane Library from 2007-2017 were downloaded and analyzed using Stata 15.1 system. As a result, a total of 13 articles were imported and 1052 patients were included. The analyses showed that the overall effect of an acupuncture group and a control group was not significant with P > 0.01 . However, the curative effect of the acupuncture group was better than that of the diet and exercise instruction group with P < 0.01 ; the curative effect of the acupuncture group was better than that of the oral Chinese and western medicine group with P < 0.01 . In conclusion, acupuncture as a complementary alternative therapy is recommended for the treatment of obesity.