摘要
目的:挖掘沈敏鹤主任医师治疗卵巢癌的用药规律。方法:运用数据统计方法进行数据挖掘整理。结果:用药频数最多者为茯苓,药物分类累积频数最高的是补虚药,其次为清热药、利水渗湿药和活血化瘀药,药物性味频数最多的为"温"、"甘"、"辛"。结论:沈老师认为"虚"、"寒"、"瘀"为卵巢癌的三大基本病机,临证善于运用"温"、"甘"、"辛"进行配伍,以"温"、"通"、"补"三法治疗卵巢癌。
Objective： To discover herbal medicine application regulation of professor SHEN Min-he in ovarian cancer treatment. Methods： Apply statistical method to organize data. Results： Fu ling was the herb with highest usage frequency, according to accumulated frequency, herbs with tonifying function were at the top position, and then was the herbs with the function of clearing excessive heat, herbs with function of eliminating dampness through dieresis, herbs with function of promoting blood circulation and dissipating blood stasis. In terms of herb＇s nature and taste, the three kinds of herb with warm in nature, sweet in taste, pungent in taste were used most. Conclusions： Professor SHEN considers that the three basic pathogenesis are as follows： ＇deficiency＇ , ＇cold＇ , ＇blood stasis＇ . Therefore, ＇warming＇ , ＇promoting qi and blood circulation＇ , ＇ tonifying＇ are three therapeutic principles in ovarian cancer treatment, while the three kinds of herb are used concordantly with warm in nature, sweet in taste, pungent in taste.
出处
《中华中医药杂志》
CAS
CSCD
北大核心
2013年第2期331-334,共4页
China Journal of Traditional Chinese Medicine and Pharmacy
基金
浙江省中医药管理局项目(No.2005C140)~~
关键词
沈敏鹤
卵巢癌
用药规律
数据挖掘
SHEN Min-he
Ovarian cancer
Herbal medicine application regulation
Data mining
