[1]李文浩,牛逸群,谭明生.基于数据挖掘法探讨中医药治疗脊髓型颈椎病的用药规律[J].中医正骨,2021,33(01):22-26.
　LI Wenhao,NIU Yiqun,TAN Mingsheng.A study of medication rule of Traditional Chinese Medicine for treatment of cervical spondylotic myelopathy based on data mining approach[J].The Journal of Traditional Chinese Orthopedics and Traumatology,2021,33(01):22-26.
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基于数据挖掘法探讨中医药治疗脊髓型颈椎病的用药规律()
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《中医正骨》[ISSN:1001-6015/CN:41-1162/R]

卷:
第33卷
期数:
2021年01期
页码:
22-26
栏目:
文献研究
出版日期:
2021-01-20

文章信息/Info

Title:
A study of medication rule of Traditional Chinese Medicine for treatment of cervical spondylotic myelopathy based on data mining approach
作者:
李文浩1; 牛逸群2; 谭明生1
(1.中日友好医院,北京 100029; 2.北京中医药大学,北京 100029)
Author(s):
LI Wenhao1; NIU Yiqun2; TAN Mingsheng1
1.China-Japan Friendship Hospital,Beijing 100029,China2.Beijing University of Chinese Medicine,Beijing 100029,China
关键词:
颈椎病;  中医药学文献;  组方原则;  数据挖掘;  方剂分析; 计算机辅助;  聚类分析
Keywords:
cervical spondylosis;  med pharmacol literature TCM;  formula composing principles;  data mining;  formula anal; comput assist;  cluster analysis
摘要:
目的:探讨中医药治疗脊髓型颈椎病的用药规律。方法:通过计算机检索中国生物医学文献数据库、中国知网、万方数据库、维普网、Cochrane Library、PubMed及EMbase数据库从建库至2020年1月收录的中医药治疗脊髓型颈椎病的文献,按照纳排标准筛选文献,将筛选出的方剂的相关数据录入Microsoft Excel 2010软件建立数据库,分析每味药物的使用频次及按性味、归经分类后药物的累积使用频次; 基于中医传承辅助系统软件(V2.5)对所选数据采用关联分析中的Apriori算法分析常见组方规律,采用聚类分析法演化出核心组方及新方组合。结果:共筛选出127首方剂,其中使用频次居于前3位的中药依次为当归、黄芪、川芎,药性多偏温,药味偏甘、辛,归经以肝、脾、心、肾为主; 分析出常用中药组合15个,挖掘出26个核心组合、13个新方组合。结论:中医药治疗脊髓型颈椎病,多用性偏温,味偏甘、辛,入肝、脾、心、肾经的中药; 多以补阳还五汤为核心进行加减组方; 核心组方和新方组合可为临床遣方用药提供参考,但其疗效有待进一步研究。
Abstract:
To explore the medication rule of Traditional Chinese Medicine(TCM)for treatment of cervical spondylotic myelopathy(CSM).Methods:All articles about TCM for treatment of CSM included from database establishing to January 2020 were retrieved from Chinese biomedical literature database,China national knowledge internet,WanFang database,VIP database,Cochrane Library,PubMed and EMbase Database through computer.The articles were screened according to the inclusion and exclusion criterias of the articles.The TCM prescriptions involved in the articles that met the requirements were search out,and their information were inputed into Microsoft Excel 2010 software to build the database.The usage frequency of each drug and the accumulated usage frequency of drugs that were classificated according to property and flavour and meridian distribution were analyzed repectively.Based on TCM inheritance support system(TCMISS)software(V2.5),the common medication rules were searched out through analyzing the selected data by using Apriori algorithm in association analysis and the core prescriptions and new prescription combinations were obtained by using cluster analysis.Results:One hundred and twenty-seven TCM prescriptions were searched out,and the top 3 Chinese drugs with high usage frequency included angelica sinensis,astragalus membranaceus and ligusticum chuanxiong in turn.The drug property presented mainly with warm,and the drug flavours presented mainly with sweet and pungent,and the meridian distributions presented mainly with liver meridian,spleen meridian,heart meridian and kidney meridian.Fifteen common TCM combinations,26 core TCM combinations and 13 new TCM prescription combinations were obtained.Conclusion:In TCM for treatment of CSM,the drug property presented mainly with warm,and the drug flavours presented mainly with sweet and pungent,and the meridian distributions presented mainly with liver meridian,spleen meridiank,heart meridian and kidney meridian.Buyang Huanwu Tang(补阳还五汤)was usually used as the core of TCM combinations.The core TCM combinations and new TCM prescription combinations can provide reference for clinical medication,while their curative effects need to be further studied.

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备注/Memo

备注/Memo:
基金项目:国家自然科学基金项目(81873141)
通讯作者:谭明生 E-mail:zrtanms@sina.com
更新日期/Last Update: 2021-01-20