非小细胞肺癌中医证型及用药规律的网络构建及可视化分析

Visualization Analysis of TCM Syndromes and Medication Rules of Non-Small Cell Lung Cancer

本文通过文献数据挖掘并构建非小细胞肺癌中医证型及用药规律的网络,以可视化图形方式对文献进行综述和分析,探讨中医治疗非小细胞肺癌的临床辨证和用药规律。检索截止2021年9月30日中国期刊全文数据库、万方数据知识服务平台、维普期刊资源整合服务平台、PubMed及Cochrane Library等数据库收载的中医药口服方剂治疗非小细胞肺癌的文献,对文献数据进行归纳并建立数据库,运用EXCEL、SPSS和SPSS Modeler软件对症状、证型、用药频次、中药功效分类及药性等进行归纳分析,并采用Cytoscape构建可视化网络关系,对NSCLC中医证型及用药规律进行分析。结果共纳入文献142篇,涉及症状177个,以咳嗽、气短、神疲乏力、胸闷、痰中带血、盗汗、胸痛、痰少、喘促、自汗、苔薄、食欲减退等症状为主;证型21种,以气阴两虚证、肺脾气虚证等为主;治疗方剂147个,中药222味,以补虚、清热、活血化瘀和化痰止咳药为主,甘、苦、辛最为常用,以肺经、脾经为属,寒热并用;药物聚类分析主要体现了养阴清肺、补脾益肾、清热解毒、活血化瘀、止咳平喘和化痰散结等功效。中医证型及用药规律网络可反映中医治疗NSCLC的临床辨证及遣方用药规律;可视化网络可实现中医药治疗NSCLC文献数据的直观分析。

This article aims to explore the clinical syndrome differentiation and medication rules for the treatment of non-small cell lung cancer(NSCLC)with traditional Chinese medicine(TCM)based on the data mining method and visual network.The articles about the TCM treatment of NSCLC were searched against CNKI,WanFang Data,VIP,PubMed,and Cochrane Library from inception to September 30,2021.EXCEL,SPSS,and SPSS Modeler were used to summary and analyze the symptoms,syndromes,frequency of herb use,Xing(性),Wei(味),and Guijing(经)of herbs in prescriptions,and frequently used herb pairs and herb combinations.Cytoscape was employed to construct the syndrome-treatment-formula-herb network.A total of 142 articles were included in this study,involving 177 symptoms and 21 syndromes.The main symptoms of NSCLC were cough,shortness of breath,fatigue,chest distress,blood in sputum,night sweats,chest pain,less sputum,spontaneous sweating,thin coating of tongue,and loss of appetite.The main syndromes of NSCLC included Qiyinliangxu(气阴两虚)and Peifeiqixu(肺脾气虚).A total of 147 formulas were used for the treatment of NSCLC,involving 222 Chinese herbs which were mainly Gan(甘),Ku(苦),Xin(辛)inWei(味),had theactivities of Buxu(补虚),Qingre(清热),Huoxue(活血),Huayu(化痧),Huatan(化痰)and Zhike(止咳),and acted on Feijing(肺经)and Pijing(脾经).The results of clustering analysis implied that the drugs mainly exerted the effects of Yangyinqingfei(养阴清肺),Bupiyishen(补脾益肾),Qingrejiedu(清热解毒),Huoxuehuayu(活血化瘀),Zhikeping chuan(止咳平喘),and Huatansanjie(化痰散结).The visual network can reflect the clinical differentiation of syndromes and medication rules in the treatment of NSCLC.This method can intuitively analyze the literature data of TCM treatment of NSCLC.