摘要
目的应用统计学与数据挖掘的方法,探讨古方治疗乳腺癌的用药规律,以便为当前临床实践提供一定参考。方法采用计算机检索中国方剂数据库、中国知网、维普数据库、万方数据库及手工查阅古籍的方法,将自晋代到唐代明确提出治疗乳岩的29首古方纳入分析,应用Microsoft Excel 2021、SPSS Statistic 24.0、SPSS Modeler 18.0软件进行频数、聚类及关联分析。结果纳入分析的29首中药古方总用药频次为191次,古方涉及中药共93味。古方中最常用的中药类别为补虚药、清热药、解表药,甘草、大黄、防风等24味中药是高频药物,使用频次占所有涉及药味的54.97%,药性以寒居多,药味以甘、苦为主,归经以脾、心、肺三经为主。高频药物聚类分析结果形成3个新方,关联规则分析,支持度≥10.00%,得出常见核心用药组合13个,关联规则14条。结论古方在乳腺癌的治疗上以益气养血、疏肝解郁、清热解毒等法则为主。
Objective To explore the medication rules of ancient prescriptions in the treatment of breast cancer by using the methods of statistics and data mining,so as to provide some reference for the current clinical practice.Methods A total of prescriptions for the treatment of mastitis from Jin Dynasty to Tang Dynasty were included in the analysis by computer retrieval of Chinese prescription database,China National Knowledge Infrastructure,VIP database,Wanfang database and manual review of ancient books.Microsoft Excel 2021,SPSS Statistic 24.0 and SPSS Modeler 18.0 were uesd for frequency,clustering and correlation analysis.Results A total of 29 ancient prescriptions of traditional Chinese medicine were included in the analysis.The total frequency of drug use was 191 times,and the ancient prescriptions involved 93 flavors of traditional Chinese medicine.The most commonly used traditional Chinese medicine categories in the ancient prescriptions are tonic drugs,heat-clearing drugs,and exterior-relieving drugs.24 traditional Chinese medicines such as licorice,rhubarb,and wind-proof are high-frequency drugs,accounting for 54.97%of all involved flavors.The medicinal properties are mostly cold,the flavors are mainly sweet and bitter,and the meridians are mainly spleen,heart,and lung.The results of cluster analysis of high-frequency drugs formed three new prescriptions,association rule analysis,support≥10%,and 13 common core drug combinations and 14 association rules were obtained.Conclusion In the treatment of breast cancer,the ancient prescriptions are mainly based on the principles of replenishing qi and nourishing blood,soothing liver and relieving depression,clearing heat and detoxifying.
作者
崔闯
朱为康
李心怡
郭鹏
陆俊骏
陈皖晴
武悦
徐静
毛俊华
CUI Chuang;ZHU Weikang;LI Xinyi;GUO Peng;LU Junjun;CHEN Wanqing;WU Yue;XU Jing;MAO Junhua(Shanghai Municipal Hospital of Traditional Chinese Medicine,Shanghai 200071,China)
出处
《现代医药卫生》
2024年第14期2344-2348,共5页
Journal of Modern Medicine & Health
基金
上海市科学技术委员会医学创新研究专题项目(20Y21902600)
上海医学创新发展基金会中医药科技发展项目(WL-LXBB-2021002K,WL-HBMS-2022008K)。
关键词
乳腺癌
中药
方剂
数据挖掘
用药规律
Breast cancer
Traditional Chinese medicine
Prescriptions
Data mining
Medication rule
