Literature DB >> 33350194

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

Cao Qing1, Miao Qing2, Liao Xing3, Fan Chang-Zheng2, Fan Mao-Rong2, Fan Yi-Ling2, M A Qiu-Xiao2, Wang Ning2, Hao Ya-Ni2.   

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.

Entities:  

Keywords:  acupoint selection; chronic obstructive pulmonary disease; data mining; plaster therapy

Year:  2020        PMID: 33350194     DOI: 10.19540/j.cnki.cjcmm.20200803.501

Source DB:  PubMed          Journal:  Zhongguo Zhong Yao Za Zhi        ISSN: 1001-5302


  1 in total

1.  Virtual Reality Technology Combined with Comprehensive Pulmonary Rehabilitation on Patients with Stable Chronic Obstructive Pulmonary Disease.

Authors:  Xiangmei Xie; Jie Fan; Huihong Chen; Ling Zhu; Ting Wan; Jixin Zhou; Donghua Fan; Xiaoying Hu
Journal:  J Healthc Eng       Date:  2021-08-02       Impact factor: 2.682

  1 in total

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