USING DATAMINING APPROACHES TO SELECTACUPOINTS IN ACUPUNCTURE AND MOXIBUSTION FOR KNEE OSTEOARTHRITIS|
Liu, Changyan; Su, Youxin; He, Jian; Li, Yanan; Chen, Shaoqing; Zhang, Yingjie; Zhang, Ziyi; Lu, Meili; He, Zhen; Wang, Wenting & Zheng, Naixi
Backgroud: Acupuncture and moxibustion are traditional Chinese medicine therapies commonly used to treat knee osteoarthritis
(KOA). Although acupoint selection affects the effectiveness of acupuncture and moxibustion, the basic rules of acupoint selection
are little understood and there is a lack of guidelines regarding prescription. In this study, we used data mining approaches to
investigate the principles of acupoint selection and provide a framework for formulation prescription in acupuncture and
moxibustion for clinical treatment of KOA.
Materials and Methods: PubMed, Cochrane Library, Science Citation Index, Wanfang database, VIP database, and China National
Knowledge Infrastructure were searched for randomized controlled clinical trials published in English or Chinese from January 1,
2009 to October 1, 2015 evaluating the effect of acupuncture and moxibustion on KOA. Databases were established.
Frequency statistics and association rule were used to extract and analyze the data.
Results: A total of 876 acupuncture prescriptions and 122 acupoints were included in the analysis. Acupoints were concentrated in
acupoints of fourteen meridians. The most frequently used acupoints were Dubi (ST35), Neixiyan (EX-LE4), Yanglingquan (GB34),
Xuehai (SP10), Liangqiu (ST34), Zusanli (ST36), Yinlingquan (SP9), and Ashi point. The most frequently used meridian was
Stomach Meridian of Foot-Yangming. Acupoints were concentrated mainly in the lower limbs. 42 acupoint pairs occurred frequently,
and the top acupoint pairing was Dubi (ST35) and Neixiyan (EX-LE4).
Conclusion: Acupoint selection and formulation prescription should focus on locally affected areas, and follow the theory of
meridians, which helps establish guidelines for acupuncture and moxibustion in KOA patients.
acupuncture and moxibustion; knee osteoarthritis; acupoint; data mining technology