Exploration on acupoint-selection patterns based on data mining for the treatment of chronic atrophic gastritis

Objective: To analyze the features and patterns of acupoint selection in acupuncture-moxibustion treatment of chronic atrophic gastritis (CAG) by data mining technique. Methods: Relevant clinical studies published before 25 June, 2017 were searched in databases including PubMed, EMBASE, Cochrane library, Chinese Biomedical Literature Database (CBM), China National Knowledge infrastructure (CNKI), and Wanfang Academic Journal Full-text Database (Wanfang). Results: A total of 122 papers were included, involving 69 points. It was found that the top three points on the frequency list were Zusanli (ST 36), Zhongwan (CV 12) and Weishu (BL 21). The points selected were distributed in 11 meridians, in which the Stomach Meridian of Foot Yangming, Conception Vessel, and Bladder Meridian of Foot Taiyang ranked the top and accounted for 74.0% of the total frequency. Of the involved specific points, Five Shu-Transmitting points, crossing points and Back-Shu points ranked the top, accounting for 47.1%. The analysis of association pattern has shown that Zusanli (ST 36) and Zhongwan (CV 12) won the highest support rate in the paired groups; Zusanli (ST 36), Weishu (BL 21) and Zhongwan (CV 12) had the highest support rate among the point groups. The Five Shu-Transmitting points and the Lower He-Sea points had the highest support rate among the specific point groups. Conclusion: The data mining results of the studies on acupuncture-moxibustion for CAG are substantially in line with the acupuncture-moxibustion treatment theories in traditional Chinese medicine. The results can reflect the acupoint selection patterns in treatment of CAG and provide reference for acupuncture-moxibustion treatment of CAG in clinic.