A Computational Framework to Study the Effect of Acupuncture on Obesity by Integrating Multiple Levels of Data

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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.

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Liu, H., Liu, M., Jiao, Y., Wei, L., Liu, X., Li, D., … Chen, J. (2020). A Computational Framework to Study the Effect of Acupuncture on Obesity by Integrating Multiple Levels of Data. BioMed Research International, 2020. https://doi.org/10.1155/2020/8513860

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