Back to Search Start Over

[Analysis of acupoint selection of plaster therapy in treatment of stable chronic obstructive pulmonary disease based on data mining].

Authors :
Qing C
Qing M
Xing L
Chang-Zheng F
Mao-Rong F
Yi-Ling F
Qiu-Xiao MA
Ning W
Ya-Ni H
Source :
Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica [Zhongguo Zhong Yao Za Zhi] 2020 Nov; Vol. 45 (22), pp. 5356-5361.
Publication Year :
2020

Abstract

This article analyze acupoint selection and characteristics of plaster therapy for stable chronic obstructive pulmonary di-sease(COPD) by data mining. The CNKI, VIP, CBM, WanFang, PubMed, EMbase, Cochrane Library were retrieved for collecting clinical studies of plaster therapy for stable COPD. After literature screening, a total of 46 systematic reviews were included. Frequency statistics, cluster analysis, and Apriori correlation analysis were used to analyze the pattern and characteristics of plaster therapy for stable COPD. The result showed that the main acupoints for stable COPD were BL13, Dingchuan, CV22, BL23 and BL20. The acupoints used are mainly concentrated on the chest and back. The most frequently used meridian is the bladder meridian. Analysis of the acupoints yielded 27 correlation rules. And cluster analysis grouped the high frequency acupoints into 5 categories. The results of the study showed that the current choice of acupoints is rather concentrated. "Local acupuncture points" and "matching points with front and back" were the main acupoint selection rules. The choice of acupuncture points reflected the traditional Chinese medicine treatment principle of strengthening healthy Qi to eliminate pathogenic factor, treating both manifestation and root cause of disease, and preventing measure taken after the occurrence of disease.

Details

Language :
Chinese
ISSN :
1001-5302
Volume :
45
Issue :
22
Database :
MEDLINE
Journal :
Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica
Publication Type :
Academic Journal
Accession number :
33350194
Full Text :
https://doi.org/10.19540/j.cnki.cjcmm.20200803.501