摘要
【目的】通过R语言数据挖掘技术,探讨针灸治疗肥胖合并2型糖尿病(T2DM)的选穴规律。【方法】计算机检索中国知网期刊全文数据库(CNKI)、万方学术期刊全文数据库(Wanfang)、维普中文科技期刊数据库(VIP)、中国生物医学数据库(CBM)、美国生物医学信息检索系统(PubMed)、荷兰医学文摘(Embase)、国际循证医学图书馆(Cochrane Library)、科学网(Web of Science)等各大数据库从建库至2024年1月收录的有关针灸治疗肥胖合并2型糖尿病的临床研究类文献,利用Microsoft Excel 2021建立腧穴处方数据库,采用R 4.3.2、Rstudio软件对腧穴进行频次、归经、特定穴、相关性分析,关联规则、聚类分析。【结果】共纳入81篇文献,提取到117条处方。涉及82个腧穴,腧穴使用总频次为1072次。频次前5位的腧穴为足三里、中脘、胃脘下俞、脾俞、天枢。经络选用以足阳明胃经、任脉、足太阳膀胱经、足太阴脾经为主。五输穴为使用频次最高的特定穴。相关性分析得出3组强相关穴组。关联规则分析得出核心穴位。通过函数对频次≥10次的腧穴进行聚类分析及机器投票,共得到4个聚类穴组。【结论】通过R语言数据分析针灸治疗肥胖合并T2DM的选穴原则,主要以腹部局部穴位为主,结合脏腑辨证及经验选穴,为针灸治疗肥胖合并T2DM提供了有效治疗思路。
Objective To investigate the acupoint selection rules of obesity complicated with type 2 diabetes mellitus(T2DM)through R language data mining technology.Methods CNKI,Wanfang,VIP,CBM,PubMed,Embase,Cochrane Library,web of science and other major databases were searched by computer.From the establishment of the database to January 2024,the clinical research literature on acupuncture and moxibustion for the treatment of obesity with T2DM was included.Microsoft Excel 2021 was used to establish a database of acupoint prescriptions.R 4.3.2 and Rstudio software were used to analyze the frequency,meridian tropism,specific acupoints,correlation analysis,association rules and cluster analysis of acupoints.Results A total of 81 articles were included,and 117 prescriptions were extracted.It involves 82 acupoints,and the total frequency of acupoint usage is 1072 times.The top five acupoints with the highest frequency were Zusanli(ST36),Zhongwan(RN12),Weiwanxiashu(EX-B3),Pishu(BL20),Tianshu(ST25).The meridian selection is mainly based on the stomach meridian of foot yangming,ren meridian,foot taiyang bladder meridian and foot taiyin spleen meridian.The five-shu points are the specific points with the highest frequency of use.Correlation analysis showed that there were three groups of strongly related acupoint groups.The core acupoints were obtained by association rule analysis.Cluster analysis and machine voting were performed on acupoints with frequency≥10 by function,and a total of four cluster acupoint groups were obtained.Conclusion Through R language data analysis,the principle of acupoint selection for acupuncture and moxibustion in the treatment of obesity complicated with T2DM is mainly based on abdominal local acupoints,combined with visceral syndrome differentiation and empirical point selection,which provides effective treatment ideas for acupuncture and moxibustion in the treatment of obesity complicated with T2DM.
作者
王晨洋
杨小雪
楚淑芳
高浚洋
李庆琳
沈悦
方晋元
熊晓婉
皮敏
WANG Chen-Yang;YANG Xiao-Xue;CHU Shu-Fang;GAO Jun-Yang;LI Qing-Lin;SHEN Yue;FANG Jin-Yuan;XIONG Xiao-Wan;PI Min(The Fourth Clinical Medical School of Guangzhou University of Chinese Medicine,Shenzhen 518033 Guangdong,China;Shenzhen Traditional Chinese Medicine Hospital,Shenzhen 518033 Guangdong,China)
出处
《广州中医药大学学报》
CAS
2024年第9期2381-2389,共9页
Journal of Guangzhou University of Traditional Chinese Medicine
基金
国家自然科学基金青年基金资助项目(编号:82104759)
深圳市科技创新委员会资助项目(编号:KCXFZ20201221173208024)
深圳市“三名工程”中国中医科学院刘保延学部委员中医针灸临床评价方法创新与应用团队(编号:SZZYSM202311002)。
关键词
针灸
肥胖合并2型糖尿病
R语言
选穴规律
腹部局部穴位
脏腑辨证选穴
经验选穴
acupuncture and moxibustion
obesity complicated with type 2 diabetes mellitus
R language
acupoint selection rules
abdominal local acupoints
visceral sydrome differentiation point selection
empirical point selection
