基于数据挖掘的癌因性疲乏证用药规律

Syndrome-Medication Regularity of Cancer-related Fatigue:Based on Data Mining

目的:基于数据挖掘分析方法探讨中药治疗癌因性疲乏证用药规律。方法:计算机检索国家知识基础设施数据库(CNKI)、中国学术期刊数据库(CSPD)、中文科技期刊数据库(CCD)、中国生物医学文献数据库和Pubmed中关于中药治疗癌因性疲乏的临床研究或经验探析。通过Excel建立证药数据库,通过COOC6.7、UCINET进行共现聚类分析,探索用药规律。结果:共纳入262项研究,获得治疗癌因性疲乏的中药及中成药处方124首,中药268味,证素10个。常用药物依次为白术、甘草、黄芪等;性味以温性,甘味、苦味及辛味药为主;归经以脾、肺、胃3经为主;证药二模分析结果提示气虚—黄芪、阴虚—麦冬、血瘀—当归等关联度最高。结论:中药治疗癌因性疲乏遵循应通补、清泻、行散合法,消补兼施,以期达到阴阳平衡。

Objective:This study aims to explore the syndrome-medication regularity of traditional Chinese medicine(TCM)in the treatment of cancer-related fatigue(CRF)based on data mining.Methods:The clinical studies of TCM in the treatment of CRF were searched from China National Knowledge Infrastructure(CNKI),CSPD,CCD,China Biology Medicine disc(CBMdisc),and PubMed.The syndrome-medication database was established by Excel and COOC6.7 and UCINET were employed for co-occurrence clustering analysis Results:A total of 262 eligible studies were screened out,involving 124 prescriptions of Chinese medicines and Proprietary Chinese medicines,268 medicinals,and 10 syndromes for CRF.Common medicinals were Rhizoma Atractylodis Macrocephalae,Radix Glycyrrhizae,Radix Astragali seu Hedysari,etc.The medicinals were mainly warm in property,and sweet,bitter,and pungent in flavor with tropism at spleen,lung,and stomach.The syndrome-medication analysis suggested that the correlation between qi deficiency and Radix Astragali seu Hedysari,yin deficiency and Radix Ophiopogonis,and blood stasis and Radix Angelicae Sinensis was the highest.Conclusion:TCM principle for the treatment of CRF is as follows:tonifying,purging,dispersing,and eliminating at the same time to achieve the balance of yin and yang.