Exploring the rules of acupoint selection in acupuncture treatment of inflammatory bowel disease in the last 10 years based on data mining
SHAO Zhongjun
ZHAO Haixia
LI Ruishan
KOU Zhifu
LI Rui
Abstract:Objective To analyze the rules of acupoint selection in the treatment of inflammatory bowel disease(IBD)in the past 10 years based on data mining method.Methods In this study,relevant clinical research literature on IBD in acupuncture treatment was retrieved in PubMed,Embase,Cochrane Library,Web of Science,SinoMed and CNKI.The selected acupoints in the literature were extracted to form prescriptions and a database of acupoints was established.SPSS 26.0 software was used to analyze the frequency of acupoints,the distribution of meridians and the application of specific acupoints.Results Finally,59 literatures were included,and 52 acupuncture prescriptions were extracted,involving 34 acupoints,with a total frequency of 302.The most frequently used acupoint was Tianshu(14.90%),followed by Zusanli(11.59%)and Zhongwan(10.26%).According to the data analysis,specific acupoints such as Front-mu points and Xiahe points were selected in the clinical treatment of IBD,and the main acupoints were selected in the foot-yangming stomach meridian and the conception vessel.The results of association rules showed that the correlation between Tianshu and Zusanli was the highest.Conclusion In clinical acupuncture treatment of IBD,it is customary to choose stomach meridian and conception vessel as the dominant meridians,and Front-mu points and Xiahe points as the main acupoints,supplemented by Tianshu,Zusanli and other core compatibility,in order to achieve therapeutic effect by regulating the spleen and stomach and regulating qi stagnation.
Keywords:data miningacupuncture therapyinflammatory bowel diseaseacupoint selection rule
Publication Date:2025-04-30
Online Publishing Date:2026-08-26(First online date of this platform, not the publication date of the document)
Pages:5( 469-473 )
Journal of Air Force Medical University

Journal of Air Force Medical University

AMI
ISSN:2097-1656
Year, Vol.(Issue):2025,46(4)