摘要
目的数据挖掘严光俊治疗肠癌癌因性疲乏的用药特点。方法收集严光俊于门诊治疗肠癌癌因性疲乏的病例,总结药物频次、药物属性;对处方中的中药开展关联规则、复杂网络及聚类分析。结果研究共纳入处方61首,涵盖146味中药,处方中药使用最多的是补虚药,使用频次最多的中药为白术、茯苓、甘草、黄芪、党参等;性味以温、寒、平,甘、苦、辛为主;药物归经多集中于肝、脾、肾经;归纳出6类中药组合方剂。结论严光俊治疗肠癌癌因性疲乏以健脾益气、温阳补肾为根本,同时滋阴养血,制约温阳之燥;在培补人体正气的过程中,解毒抗癌,攻补兼施。
Objective To explore the medication characteristics of Yan Guangjun in treating cancer-related fatigue in colorectal cancer through data mining.Methods The cases of intestinal cancer-related fatigue treated by Yan Guangjun in outpatient clinics were collected,and the frequency and properties of drugs were summarized;the correlation rules,complex networks and cluster analysis were carried out on the Chinese medicine in the prescription.Results A total of 61 prescriptions were included in the study,covering 146 types of traditional Chinese medicines.The most frequently used category of drugs was tonics,with the most commonly used drugs being Baizhu,Fuling,Gancao,Huangqi,and Dangshen,etc.The dominant properties and flavors of the drugs were warm,cold,neutral,sweet,bitter,and pungent.The drugs meridians were attributed mainly the liver,spleen,and kidney meridians.Six different combinations of traditional Chinese medicine formulas were identified.Conclusion Yan Guangjun’s treatment of cancer-related fatigue in colorectal cancer is fundamentally based on strengthening the spleen and replenishing Qi,warming Yang and nourishing the kidneys,while also nourishing Yin and enriching blood to counteract the dryness of warming yang.During the process of tonifying the body’s vital energy,detoxification and anticancer effects are also achieved,combining both attack and tonification.
作者
刘冲
徐大志
向彩琼
严光俊
赖东秀
LIU Chong;XU Dazhi;XIANG Caiqiong;YAN Guangjun;LAI Dongxiu(Department of Oncology,Jingzhou Hospital of Traditional Chinese Medicine,Jingzhou 434000,Hubei,China)
出处
《中国现代医生》
2025年第17期52-55,共4页
China Modern Doctor
基金
湖北省中医药管理局中医药科研项目(ZY2023F095)
荆州市中医医院中医药研究所自主选题立项项目(ZZXY2023Y01)
全国名老中医药专家传承工作室建设项目(国中医药人教函[2022]75号)。
关键词
结直肠癌
癌因性疲乏
脾肾阳虚
数据挖掘
Colorectal cancer
Cancer-related fatigue
Spleen-kidney Yang deficiency
Data mining
