基于数据挖掘探析中医治疗乳腺癌的证候分布和方药规律OA
Analysis of Syndrome Distribution and Prescription Patterns in Traditional Chinese Medicine for Breast Cancer Based on Data Mining
目的 系统整理并归纳总结乳腺癌的中医证候分布及临床组方用药论治规律,为临床应用中医药治疗乳腺癌提供选方用药思路借鉴.方法 检索建库至2024 年6 月30 日中国知网(CNKI)、万方医学网(WANFANG MED ONLINE)、维普网(VIP)、中国生物医学服务系统(SinoMed)文献数据库有关中医诊治乳腺癌的文献资料,建立数据库,通过 Excel、SPSS Statistics、SPSS Modeler软件对证型、症状、方剂、药物进行频数统计、系统聚类和Apriori关联规则分析.结果 共筛选得到文献 164 篇,中医证型36 个,其中气血两虚、肝郁脾虚、肝郁气滞、气阴两虚、肝肾阴虚、瘀毒互结为常见证型;包含方剂 257 首,其中成方 47 首,以逍遥散、八珍汤、六君子汤为主;涉及中药 281 味,高频中药有白术、茯苓、甘草、黄芪、当归、柴胡、白芍、陈皮、白花蛇舌草等,功效以补虚药、清热药、活血化瘀药、理气药为主,主归肝、脾、肾经;45 味高频中药系统聚类分析得到 4 个聚类方;关联规则分析得到 20 个药物组合.结论 乳腺癌患者以气血两虚、肝郁脾虚、肝郁气滞证为主,在遣方用药上以益气健脾、滋阴养血为基本治法,同时辅以行气活血、清热解毒散结等药物辨证论治.
Objective To systematically collate and summarize the distribution of Traditional Chinese medicine(TCM)syndromes and clinical prescription patterns for breast cancer,providing reference for the selection of formulas and medications in clinical TCM treatment.Methods Literature on TCM diagnosis and treatment of breast cancer was retrieved from the China National Knowledge Infrastructure(CNKI),Wanfang Medical Online,VIP Database,and SinoMed up to June 30,2024.A database was established,and frequency statistics,hierarchical clustering,and Apriori association rule analysis were performed on syndrome types,symptoms,formulas,and medications using Excel,SPSS Statistics,and SPSS Modeler.Results A total of 164 articles were screened,identifying 36 TCM syndrome types.Common syndromes included Qi and blood deficiency,liver depression and spleen deficiency,liver depression and Qi stagnation,Qi and Yin deficiency,liver and kidney Yin deficiency,and stasis and toxin binding.The database included 257 formulas,among which 47 were classical formulas,primarily Xiaoyao powder,Bazhen decoction,and Liujunzi decoction.A total of 281 herbs were involved,with high-frequency herbs including Baizhu(Atractylodis Macrocephalae Rhizoma),Fuling(Poria),Gancao(Glycyrrhizae Radix Et Rhizoma),Huangqi(Astragali Radix),Danggui(Angelicae Sinensis Radix),Chaihu(Bupleuri Radix),Baishao(Paeoniae Radix Alba),Chenpi(Citri Reticulatae Pericarpium),and Baihuasheshecao(Hedyotis Diffusae Herba).The primary herb efficacies were tonifying deficiency,clearing heat,activating blood and resolving stasis,and regulating Qi.The herbs mainly targeted the liver,spleen,and kidney meridians.Hierarchical clustering analysis of 45 high-frequency herbs yielded four clustered formula groups.Association rule analysis identified 20 herb combinations.Conclusion Breast cancer patients predominantly present with syndromes of Qi and blood deficiency,liver depression and spleen deficiency,and liver depression and Qi stagnation.The fundamental treatment principles focus on supplementing Qi and strengthening the spleen,nourishing Yin and enriching blood,supplemented by herbs for moving Qi,activating blood,clearing heat,resolving toxicity,and dispersing nodules,tailored through syndrome differentiation.
杨丹;司富春
河南中医药大学,郑州 450000||河南省中医方证信号传导重点实验室,郑州 450000||河南省中医方证信号传导国际联合实验室,郑州 450000河南中医药大学,郑州 450000||河南省中医方证信号传导重点实验室,郑州 450000||河南省中医方证信号传导国际联合实验室,郑州 450000
医药卫生
乳腺癌中医证候分布用药规律聚类分析关联规则
Breast cancerTraditional Chinese medicineSyndrome distributionMedication patternsCluster analysisAssociation rules
《中国中医基础医学杂志》 2026 (2)
395-400,6
河南省科技攻关计划项目(222102310187)河南省科技研发计划联合基金(优势学科培养类)重点项目(222301420024)
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