Analysis on the principles of differentiation and prescription of traditional Chinese medicine in the treatment of cancerous fever

Wei Xu; Ni Chai; Yue-Lei Cheng; Qiong Yang; Hui-Rong Zhu

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Analysis on the principles of differentiation and prescription of traditional Chinese medicine in the treatment of cancerous fever

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To investigate the principles of differentiation and prescription of traditional Chinese medicine (TCM) treatment for cancerous fever by logistic stepwise regression and literature investigation, the following databases were searched (from inception to June 30th 2016):CNKI, CSPD, CBM, PubMed, MEDLINE, EMBASE. According to the inclusion and exclusion criteria, literatures about TCM in the treatment of cancerous fever were screened. The frequency about cancerous fever of differential syndrome types, formulas and herbs were analyzed by logistic multiple regression analysis. The model about syndrome types and formula application of cancerous fever was established. The result showed formula prescriptions used most frequently were Qing-Hao-Bie-Jia decoction, Xiao-Chai-Hu decoction, Xue-Fu-Zhu-Yu decoction, Bai-Hu decoction, San-Ren decoction. The main syndrome types of cancerous fever were as follows:Toxic heat flourishing type, Yin deficiency type, Stagnation of damp-heat type, Qi-Yin deficiency type, Liver meridian depressed-heat type, Blood stasis type and Yang deficiency type. Based on regression equation of the syndrome types, the corresponding herbs of this seven syndrome types were Radix Bupleuri, Radix Paeoniae Alba and Scutellaria Baicalensis Georgi; Radix Bupleuri and Cortex Moutan;Radix Paeoniae Rubra and Radix Angelicae Sinensis;Rhizoma Pinelliae, Cortex Lycii Radicis and Radix Paeoniae Alba; Herba Artemisiae Annuae, Gypsum Fibrosum and Poria Cocos; Rhizoma Anemarrhenae, Scutellaria Baicalensis Georgi and Radix Codonopsis;Radix Bupleuri respectively. The results of Logistic regression analysis and frequency of herbs statistics can provide reference for differentiation and treatment of cancerous fever in clinical.%基于Logistic回归分析与文献检索探讨中医药治疗癌性发热辨证论治用药规律。检索中国期刊全文数据库(CNKI)、中国学术期刊数据库(万方数据)、中国生物医学文献数据库（CBMdisc)、PubMed、MEDLINE、EMBASE,检索日期始于各数据库起始日期，截止至2016年6月30日。对收录的关于中医药治疗癌性发热的相关文献进行筛选,并对用药频次进行统计,采用Logistic多元逐步回归法对癌性发热证型用药进行模型建立。计量统计显示，癌性发热方药使用频次较高的分别为青蒿鳖甲汤，小柴胡汤，血府逐瘀汤，白虎汤，三仁汤。癌性发热证型主要表现为热毒炽盛，阴虚发热，湿热蕴结，气阴两虚，肝经郁热，血瘀发热和阳虚发热7型。基于分型用药回归方程结果，热毒炽盛型中特别用药为柴胡，白芍，黄芩；阴虚发热型中特别用药为柴胡，丹皮；湿热蕴结型中特别用药为赤芍，当归；气阴两虚型中特别用药为半夏，地骨皮，白芍；肝经郁热型中特别用药为青蒿，石膏，茯苓；血瘀发热型中特别用药为知母，黄芩，党参；阳虚发热型中特别用药为柴胡。通过用药频次统计和Logistic回归分析方法可为中医药治疗癌性发热用药及临床辨证论治提供参考。

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《传统医学研究（英文版）》 |2017年第1期|41-50|共10页
作者
Wei Xu; Ni Chai; Yue-Lei Cheng; Qiong Yang; Hui-Rong Zhu;
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作者单位

Department of Medical 0ncology, Shuguang Hospital Affiliated to Shanghai University of TCM, Shanghai 201203, China;

Department of Medical 0ncology, Shuguang Hospital Affiliated to Shanghai University of TCM, Shanghai 201203, China;

Department of Medical 0ncology, Shuguang Hospital Affiliated to Shanghai University of TCM, Shanghai 201203, China;

Department of Medical 0ncology, Shuguang Hospital Affiliated to Shanghai University of TCM, Shanghai 201203, China;

Department of Medical 0ncology, Shuguang Hospital Affiliated to Shanghai University of TCM, Shanghai 201203, China;

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正文语种 eng
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关键词
中医药; 癌性发热; Logistic回归分析; 文献分析;

机译：中医药;癌性发热;Logistic回归分析;文献分析;

Analysis on the principles of differentiation and prescription of traditional Chinese medicine in the treatment of cancerous fever

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