肺癌中医证候诊断规范研究现状及思考  

Current Status and Thinking of Literature Based Researches on Standardization of TCM Syndrome Diagnosis of Lung Cancer

作　　者：刘文瑞 冯贞贞[2] 谢洋[2] 李建生[1,2] LIU Wenui;FENG Zhenzhen;XIE Yang;LI Jiansheng(Henan University of Chinese Medicine/Co-construction Imnovation Center for Chinese Medticine and Respiratory Disease by Henan&Education Ministry of China/Henan Key Iaboratory of Chinese Medicine for Respiratory Diseases,Zhengzhou Henan China 450046;The First Affiliated Hospital of Henan University of Chinese Medicine,Zhengzhou Henan China 450000)

机构地区：[1]河南中医药大学/呼吸疾病中医药防治省部共建协同创新中心/河南省中医药防治呼吸病重点实验室,河南郑州450046 [2]河南中医药大学第一附属医院,河南郑州450000

出　　处：《中医学报》2022年第2期447-452,共6页Acta Chinese Medicine

基　　金：国家自然科学基金委员会重点项目(81830116);国家中医药领军人才支持计划——岐黄学者项目{国中医药人教函[2018]284号};中原学者科学家工作室项目{豫财行[2018]204号}。

摘　　要：目的:通过梳理肺癌中医证候诊断研究相关文献,分析其研究对象、研究类型、研究要素、关键技术及中医辨证参考依据等,为肺癌中医证候诊断标准的建立提供思路。方法:检索PubMed、Embase、中国知网、万方数据库、维普网、中国生物医学文献数据库收集肺癌证候诊断研究文献,建立肺癌中医证候诊断研究数据库,对纳入文献的研究对象、研究类型、研究要素、关键技术及中医辨证参考依据等进行统计描述。结果:纳入文献273篇,包括期刊论文156篇(57.1%),其次为硕博士论文103篇(37.7%)。发表时间为1982年~2019年,其中2014年文献量最多(27篇,9.9%)。主要研究结果如下:(1)研究对象:根据组织病理学分型,130篇(47.6%)文献以非小细胞肺癌为研究对象,6篇(2.2%)以小细胞肺癌为研究对象;根据TNM分期,涉及Ⅲ期的文献最多,为266篇(97.4%),涉及Ⅰ期的文献最少,为176篇(64.5%)。(2)研究类型:主要为文献研究和临床调查研究,其中临床调查研究255篇(93.4%),文献研究18篇(6.6%)。(3)研究要素:主要为证候分布(175篇,64.1%),其次为证候+症状(51篇,18.7%)。(4)关键技术:266篇(97.4%)文献采用统计描述;95篇(34.8%)文献采用多元统计分析,包括回归分析(26篇,9.5%)、聚类分析(25篇,9.2%)等,11篇文献采用数据挖掘技术,包括关联规则(8篇,2.9%)、复杂网络(1篇,0.4%)等。(5)中医辨证参考依据:主要包括《中药新药临床研究指导原则》《中医诊断学》教材、《中医临床诊疗术语·证候部分》等。结论:通过围绕不同TNM分期及病理学类型展开,以文献研究为基础,开展多中心、大样本的临床调查,以多元统计学、数据挖掘技术为支撑,探索肺癌证素、常见证候、症状等分布规律,对拟定肺癌中医证候诊断标准具有重要意义。Objective:To provide ideas for the establishment of diagnostic criteria of TCM syndromes of Lung cancer through combing the related literature on the diagnosis of TCM syndromes of Lung cancer,analyzing its research objects,research types,research elements,key technologies,and reference basis for TCM syndrome differentiation,etc.Methods:Collect the research literature on Lung cancer syndrome diagnosis through databases include PubMed,Embase,CNKI,WANFANG DATA,VIP,and CBM databases,establish a database for the diagnosis of Lung cancer syndromes in Chinese medicine,and statistically describe the research objects,research types,research elements,key technologies,and reference basis of TCM syndrome differentiation included in the literature.Results:273 studies were included,including 156 journal literatures(57.3%),followed by 103(37.7%)master and doctoral literatures.The publication time is from 1982 to 2019,with the largest volume of literature in 2014(27,9.9%).The main results are as follows:(1)Research objects:According to the histopathological classification,130(47.6%)articles were non-small cell Lung cancer,and 6(2.2%)were small cell lung cancer.According to TNM staging,the most documents related to stage III,are 266(97.1%),and the literature involving Phase I is the least,176(66.5%).(2)Research type:mainly literature research and clinical investigation research,including 255 clinical investigation studies(93.4%)and 18 literature research(6.6%).(3)Research elements:mainly the distribution of syndromes(175 articles,64.1%),followed by syndromes+symptoms(51 articles,18.7%).(4)Key technology:266 articles(97.1%)used statistical description;95 articles(34.8%)used multivariate statistical analysis,including regression analysis(26 articles,9.5%),cluster analysis(25 articles,9.1%),etc.Eleven articles use data mining techniques,including association rules(8 articles,2.9%),complex networks(1 article,0.4%),etc.(5)Reference basis for TCM syndrome differentiation:the reference basis for TCM syndrome differentiation of lung canc

关 键 词：肺癌 中医证候 诊断规范 诊断标准 文献研究 临床调查 数据挖掘 

分 类 号：R273[医药卫生—中西医结合]