摘要
目的以数据挖掘方法对中药治疗鼻咽癌的用药规律进行分析,为鼻咽癌的中医治疗以及中成药的研发提供借鉴。方法以《肿瘤方剂大辞典》、《肿瘤良方大全》、《中国药典》、《国家中成药标准汇编》以及《卫生部药品标准中药成方制剂》为数据来源,按照纳入和排除标准遴选中药治疗鼻咽癌的方剂,运用Microsoft Excel 2010进行频数统计,以SPSS Clementine 12.0软件中所提供的Apriori模版进行关联规则分析,用SPSS18.0软件进行聚类分析和因子分析。结果最终纳入中药方剂292个,共有369味中药。用药频次居前11%的中药有38味(频次≥17次),主要以清热解毒药、扶正补虚药、以毒攻毒药、温经消积药、活血化瘀药以及宣通鼻窍药为主;关联规则分析得到药对41个,3味药组18个,4味药组18个;聚类分析得到治疗鼻咽癌的潜在核心基础方6个;因子分析得到药组13个。结论中药治疗鼻咽癌多以滋阴清热解毒、益气健脾、活血化瘀、宣通鼻窍为治则,其核心病机为本虚邪盛。白花蛇舌草作为岭南地区颇具特色的清热解毒类中草药,在鼻咽癌中医治疗中应用频次最高,体现其在鼻咽癌治疗中具有重要价值。
Objective The purpose of this study is to conduct an in-depth analysis and investigation of the use of traditional Chinese medicine in the treatment of nasopharyngeal carcinoma through data mining,so as to provide reference for the clinical treatment of nasopharyngeal carcinoma patients and the development of proprietary medicines.MethodsBy screening the prescriptions of Chinese medicine for nasopharyngeal carcinoma in the Dictionary of Tumor Formulas,the Compendium of Good Tumor Formulas,the Chinese Pharmacopoeia,the National Compilation of Standards for Proprietary Chinese Medicines,and the Ministry of Health’s Pharmaceutical Standards for Proprietary Chinese Medicines,the qualified Chinese medicine prescriptions were selected in strict accordance with the inclusion and exclusion criteria.The frequency statistics was carried out using Microsoft Excel2010.Apriori templates provided in Clementine 12.0 software was used for association rule analysis,and SPSS 18.0 software for cluster analysis and factor analysis,and SPSS 18.0 software for CHAID decision tree method for decision tree analysis,respectively.ResultsA total of 292 prescriptions consisting of 369 Chinese herbal medicines were finally included.There were 38 Chinese medicines in the top 11%of medication frequency,which mainly had the efficacy of clearing heat and removing toxins,strengthening and tonifying deficiencies,attacking toxins with poisons,warming the meridians and eliminating accumulation,promoting blood circulation and relieving blood stasis,and promoting the nasal passage.Analysis of the association rule obtained 41 drug pairs,18 drug groups of triplet TCMs,and 18 drug groups of quaternity TCMs.Cluster analysis yielded six potential core base formulas for the treatment of nasopharyngeal carcinoma;and factor analysis obtained 13 drug groups.ConclusionChinese medicine treatment for nasopharyngeal carcinoma is mostly based on nourishing yin,clearing heat and detoxifying,benefiting qi and strengthening spleen,activating blood circulation and rem
作者
方彩珊
綦向军
萧韵婷
莫嘉浩
廖梦颖
谢淼
周敏
陈腾宇
王顺兰
阮岩
FANG Caishan;QI Xiangjun;XIAO Yunting;MOJiahao;LIAO Mengying;XIE Miao;ZHOU Min;CHEN Tengyu;WANG Shunlan;RUAN Yan(Guangzhou University of Chinese Medicine,Guangzhou 510405 Guangdong,China;Department of Otolaryngology,the First Affiliated Hospital of Guangzhou University of Chinese Medicine,Guangzhou 510405 Guangdong,China)
出处
《中药新药与临床药理》
CAS
CSCD
北大核心
2021年第5期716-721,共6页
Traditional Chinese Drug Research and Clinical Pharmacology
基金
国家自然科学基金项目(8197151814
82071024)
2020年阮岩省名中医传承工作室项目(2100600145)。
关键词
鼻咽癌
中医药治疗
用药规律
数据挖掘
白花蛇舌草
清热解毒
Nasopharyngeal carcinoma
traditional Chinese medicine therapy
application rules of Chinese medicine
data mining
Oldenlandia diffusa
clearing heat and detoxifying
