Acupoint selection rules of acupuncture for cervical spondylotic radiculopathy based on data mining.
10.13703/j.0255-2930.20190905-0001
- Author:
Lin-Zi ZHANG
1
;
Li-Qun WU
2
;
Rui-Zhe CHEN
1
;
Wei YI
2
;
Wu ZHOU
1
;
Lin GU
3
;
Hong-Cai SHANG
4
;
Hong-Lai ZHANG
1
Author Information
1. College of Medical Information Engineering, Guangzhou University of CM, Guangzhou 510006, Guangdong Province, China.
2. Clinical Medical College of Acupuncture-Moxibustion and Rehabilitation, Guangzhou University of CM.
3. National Institute of Informatics, Tokyo, Japan.
4. Ministry of Education Key Laboratory of Chinese Internal Medicine, Dongzhimen Hospital of Beijing University of CM.
- Publication Type:Journal Article
- Keywords:
acupuncture;
cervical spondylotic radiculopathy;
data mining;
rules of acupoint selection
- MeSH:
Acupuncture Points;
Acupuncture Therapy;
Data Mining;
Humans;
Meridians;
Radiculopathy/therapy*
- From:
Chinese Acupuncture & Moxibustion
2020;40(11):1259-1262
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE:To analyze the rules of acupoint selection in the acupuncture treatment of cervical spondylotic radiculopathy by data mining.
METHODS:The randomized controlled trials (RCTs) regarding acupuncture for cervical spondylotic radiculopathy published from July 15 of 2009 to July 15 of 2019 were retrieved from databases of CNKI, VIP, Wanfang, SinoMed, PubMed and EMbase. A database was established with Microsoft Excel 2016. The frequency and total effective rate of high-frequency acupoints, meridians and acupoint combinations were analyzed, and the association rules of acupoints and meridians were analyzed by Apriori algorithm.
RESULTS:A total of 87 RCTs were included, involving 104 acupoints with a total frequency of 921. Among them, the high-frequency acupoints were cervical Jiaji (EX-B 2, 87 times), Fengchi (GB 20, 70 times), Houxi (SI 3, 54 times), etc. The frequently-used acupoints were mainly distributed in the hand
CONCLUSION:It is feasible to explore the acupoint selection and compatibility rules of acupuncture for cervical spondylotic radiculopathy by data mining. This study could provide corresponding reference for clinical treatment.
