Analysis of acupoint selection of plaster therapy in treatment of stable chronic obstructive pulmonary disease based on data mining.
10.19540/j.cnki.cjcmm.20200803.501
- Author:
Qing CAO
1
;
Qing MIAO
2
;
Xing LIAO
3
;
Chang-Zheng FAN
2
;
Mao-Rong FAN
2
;
Yi-Ling FAN
2
;
Ma QIU-XIAO
2
;
Ning WANG
2
;
Ya-Ni HAO
2
Author Information
1. Beijing University of Chinese Medicine Beijing 100029, China Center for Evidence-based Chinese Medicine, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences Beijing 100700, China.
2. Xiyuan Hospital, China Academy of Chinese Medical Sciences Beijing 100091, China.
3. Center for Evidence-based Chinese Medicine, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences Beijing 100700, China.
- Publication Type:Journal Article
- Keywords:
acupoint selection;
chronic obstructive pulmonary disease;
data mining;
plaster therapy
- MeSH:
Acupuncture Points;
Acupuncture Therapy;
Data Mining;
Humans;
Meridians;
Pulmonary Disease, Chronic Obstructive/drug therapy*
- From:
China Journal of Chinese Materia Medica
2020;45(22):5356-5361
- CountryChina
- Language:Chinese
-
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.
