李淏 滕羽鸥 陈佳阳 张庆林 常金圆 李沛瑾 冯利

摘要 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。

关键词 癌症;癌因性疲乏;中医药;数据挖掘;辨证论治;证药规律分析;虚劳;用药规律

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

LI Hao1，TENG Yuou1，CHEN Jiayang2，ZHANG Qinglin1，CHANG Jinyuan2，LI Peijin1，FENG Li2

（1 Dongzhimen Hospital，Beijing University of Chinese Medicine，Beijing 100700，China; 2 National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital，Chinese Academy of Medical Sciences and Peking Union Medical College，Beijing 100021，China）

Abstract 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.com

mon 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.

Keywords Cancer; Cancer-related fatigue; Traditional Chinese medicine; Data mining; Treatment based on syndrome differentiation; Syndrome-medication regularity; Consumptive disease; Medication regularity

中圖分类号：R242文献标识码：Adoi：10.3969/j.issn.1673-7202.2022.08.020

癌因性疲乏（Cancer-related Fatigue，CRF）是持续存在的身心疲乏的主观感觉，常引起患者痛苦感而降低生命质量[1]。CRF患病率为62%～85%，其中9%～45%为中重度，是癌症最常见的伴发症[2-3]。CRF因其邪盛正伤，脏虚劳损，而归属于以五脏六腑虚损为主要表现的“虚劳”范畴，目前多通过对因、对症等方式治疗，研究表明中药治疗CRF有效且安全[4]。中医临证以辨证论治为法，本研究基于文献数据挖掘提炼CRF证素与方药应用规律，为临证提供参考。88B69CB5-9BD1-4050-880B-4A7918EF070B

1 资料与方法

1.1 文献来源 检索从建库开始到2021年8月13日的中英文數据库……