Study on the rules of TCM syndromes and Chinese herbal medicines about IgAN based on data mining

Objective:To analyze the clinical research literatures of TCM syndromes and treatment of Immunoglobulin A Nephropathy(IgAN)on data-mining technology,and explore the rules of TCM syndromes and Chinese medication.Methods:By searching the clinical literatures about TCM syndromes and treatment of IgAN had published in China Biomedical Literature Database,CNKI Database,Wanfang Database,and Chongqing Weipu Database from January 2000 to September 2019.Strictly according to the inclusion and exclusion criteria,included documents and established the databases.Applicated of statistical software for frequency analysis of TCM syndromes,Chinese herbal medicines,and analyzed the commonly used Chinese herbal medicines by factor analysis and cluster analysis.Results:292 literatures were finally included,involving 28 syndromes.A total of 479 prescriptions and 254 Chinese herbs were used.The rules of syndromes in IgA nephropathy are as follows:the syndromes are mainly composed of Qi and Yin deficiency syndrome,followed by the Spleen and kidney qi deficiency syndrome,Liver and Kidney Yin Deficiency Syndrome,Spleen and kidney yang deficiency syndrome.The blood-stasis syndrome,damp-heat syndrome and wind-heat disturbance syndrome are accompanied by other syndrome.The characteristics of traditional Chinese medicines for IgA nephropathy is mainly composed of tonic deficiency medicines,supplemented by blood-activating and stasis-eliminating medicines,heat-clearing medicines,inducing diuresis and excreting dampness medicines and astringent medicines to combine with formulas.Conclusion:Through Data-mining method systematically summarized the rules of TCM syndromes and Chinese medication in treating IgAN and provided scientific theoretical guidance for the treatment of IgAN.

An Analysis of Medication Rules of Chinese Medicine for Restless Legs Syndrome Based on Data Mining

Objective: Based on data mining, to explore the medication rules of Chinese medicine for the treatment of restless legs syndrome(RLS). Methods: The CNKI, WANFANG, and VIP were taken as data sources, and "restless legs syndrome, RLS" as the key words, and "Chinese medicine, Chinese materia medica, traditional Chinese medicine(TCM), traditional Chinese and Western medicine" as sub key words, the data was extracted from the journals and literature related to the treatment of RLS by TCM from the establishment of the database to 2020, and data mining techniques(frequency analysis, cluster analysis, association rules) were used to analyze the core drugs and drug pair(group) rules. Results: A total of 87 prescriptions met the requirements of this study, involving 142 Chinese herbal medicines. The top 5 Chinese herbal medicines with a higher frequency of use were Radix Paeoniae Alba, Radix Glycyrrhizae, Radix Angelicae Sinensis, Fructus Chaenomelis and Radix Astragali seu Hedysari. The four Qi(气) of the medicine were mainly warm and neutral, the five flavors were mainly sweet, bitter, and pungent. The main channels of the meridian were mainly the liver meridian, spleen meridian and heart meridian. The medication categories were mainly tonifying deficiency herbs, blood activating and removing blood stasis herbs, and eliminating wind and dampness herbs. The association rule analysis yielded 24 Chinese medicine combinations with high support, and the hierarchical cluster analysis yielded a total of 5 clusters. Conclusion: TCM treatment of RLS is based on tonifying deficiency herbs, especially to replenish Qi and blood throughout the course of the disease, supplemented by herbs for promoting blood circulation and removing blood stasis, and herbs for eliminating wind and dampness, as well as combined with herbs for reliving superficies and herbs for calming the liver to stop the wind.

Summary on Professor QIAO Bao-zhang's Experience in Syndrome Differentiation and Treatment for Pancreatic Cancer

Objective:To summarize clinical experience of Professor QIAO Bao-zhang in treatment for pancreatic cancer,and to provide reference for clinicians.Methods:Through learning from Professor QIAO during his clinical practice and listening to his lectures,Professor QIAO Bao-zhang's clinically proved cases of treating pancreatic cancer based on syndrome differentiation were organized and summarized.From aspects like etiology,pathogenesis,treatment principles and treatment methods of pancreatic cancer,Professor QIAO's experience in diagnosis and treatment for this disease was analyzed and explored,and characteristics of medication were summarized.Two typical cases were selected as proof,and his treatment ideas and methods were explored.Results:Professor QIAO believes that the pathogenesis is mostly deficiency of vital Qi(正气),and stagnation of phlegm,heat and dampness in Zang-Fu(脏腑)and meridians.Around intermingled deficiency and excess,syndrome differentiation and treatment were performed.Due to treatment methods such as strengthening vital Qi to eliminate pathogenic factor,clearing heat,eliminating dampness and resolving phlegm,as well as removing toxicity and resolving hard mass,progress of malignant tumors was inhibited and recurrence and metastasis of malignant tumors were delayed.Conclusion:Professor QIAO's experience in treating pancreatic cancer is worth learning.

Study on the Correlation between Syndrome Differentiation of Malignant Pleural Effusion Treated by External Treatment of Traditional Chinese Medicine and Immunohistochemistry of Biopsy Tissue Based on Medical Video-assisted Thoracoscope

Objective:Guided by the theory of syndrome differentiation of yin and yang in traditional Chinese medicine surgery,through visual observation of internal medicine thoracoscope,comprehensive observation of pleural cavity and immunohistochemistry of biopsy tissue,to classify malignant pleural effusion according to syndrome differentiation,and to explore the scientific nature of its theory.Methods:From March 1,2014 to February 28,2015,40 cases of malignant pleural effusion were treated in Beijing Chaoyang Hospital affiliated to Capital Medical University.According to the proposed TCM diagnostic criteria for yin and yang syndrome differentiation,and collect age,gender,course of disease,clinical symptoms,tumor primary focus,histomorphological manifestations and immunohistochemical results and other related information,and carry out statistical data processing.Results:The positive syndrome was mainly metastatic lung adenocarcinoma,which accounted for the majority of all MPE cases,up to 75%.The immunohistochemical results of biopsy tissues were mainly CEA and TTF-1 positive;While pleural effusion caused by pleural mesothelioma was the main type of yin syndrome,and the results of immunohistochemistry combined with biopsy were mainly positive for D2-40,Calretinin,WT-1 and CK5/6.Conclusion:TCM syndrome differentiation of MPE based on internal thoracoscopy combined with biopsy immunohistochemical results has sufficient theoretical basis and certain scientific nature,and further clinical research is needed to verify its effectiveness and practicability in the future.

Discussion on the thinking innovation of the “Treatment based on syndromedifferentiation” according to “Precision medical”

Based on the concept of ＂precision medicine＂, this paper is to probe into the thinking innovation thought anddevelopment direction of ＂dialectical theory＂ of TCM, and to compare the development prospects of ＂syndromedifferentiation＂ and ＂genetic constitution＂. It points out that the dialectical concept of ＂syndrome differentiation andtreatment＂ is combined with the concept of high and new technology of ＂precision medicine＂ to further clarify thescientific connotation of traditional Chinese medicine.

Artificial Intelligence and Network Pharmacology Reveal the Medication Rules of Professor Wang Yu-Ying in the Treatment of Climacteric Syndrome

Objective: The objective of this study was to explore the medication rules and academic ideas of Professor Wang Yu-Ying in the treatment of climacteric syndrome(CLS) and to predict new prescriptions. Materials and Methods: The characteristics of frequency, clustering, four properties, and five flavors were analyzed, and new prescriptions were predicted through an artificial intelligence(AI)-based method. The potential pathways of new prescriptions were explored through network pharmacology-based analysis. Results: The top 16 medicinals used by Professor Wang Yu-Ying in the treatment of CLS included Danggui, Longgu, Muli, Fuling, Chuanxiong, Gancao, Xiangfu, and Tusizi. The AI method was applied to predict the basic prescription for treating CLS: Danggui 15 g, Duanlonggu 30 g, Duanmuli 30 g, Fuling 28 g, Chuanxiong 10 g, Gancao 6 g, Xiangfu 12 g, Tusizi 14 g, etc., Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses showed that the pathogenesis of CLS might be related to the estrogen pathway, involving typical steroid responses. Conclusions: This study summarized Professor Wang's medication experience in the treatment of CLS based on the data mining of clinical diagnoses and treatment cases. The AI method was used to predict the new prescription of CLS treatment, which was found to be reasonable by network pharmacology studies on its multi-target and multi-pathway mechanisms.

Traditional Chinese medicine Master XIONG Jibo’s medication experience in treating arthralgia syndrome through data mining

Objective This study aimed to examine and propagate the medication experience and group formula of traditional Chinese medicine(TCM)Master XIONG Jibo in diagnosing and treat-ing arthralgia syndrome(AS)through data mining.Methods Data of outpatient cases of Professor XIONG Jibo were collected from January 1,2014 to December 31,2018,along with cases recorded in A Real Famous Traditional Chinese Medicine Doctor:XIONG Jibo's Clinical Medical Record 1,which was published in December 2019.The five variables collected from the patients’data were TCM diagnostic information,TCM and western medicine diagnoses,syndrome,treatment,and prescription.A database was established for the collected data with Excel.Using the Python environment,a custom-ized modified natural language processing(NLP)model for the diagnosis and treatment of AS by Professor XIONG Jibo was established to preprocess the data and to analyze the word cloud.Frequency analysis,association rule analysis,cluster analysis,and visual analysis of AS cases were performed based on the Traditional Chinese Medicine Inheritance Computing Platform(V3.0)and RStudio(V4.0.3).Results A total of 610 medical records of Professor XIONG Jibo were collected from the case database.A total of 103 medical records were included after data screening criteria,which comprised 187 times(45 kinds)of prescriptions and 1506 times(125 kinds)of Chinese herbs.The main related meridians were the liver,spleen,and kidney meridians.The properties of Chinese herbs used most were mainly warm,flat,and cold,while the flavors of herbs were mainly bitter,pungent,and sweet.The main patterns of AS included the damp heat,phlegm stasis,and neck arthralgia.The most commonly used herbs for AS were Chuanniuxi(Cyathu-lae Radix),Huangbo(Phellodendri Chinensis Cortex),Cangzhu(Atractylodis Rhizoma),Qinjiao(Gentianae Macrophyllae Radix),Gancao(Glycyrrhizae Radix et Rhizoma),Huangqi(Astragali Radix),and Chuanxiong(Chuanxiong Rhizoma).The most common effect of the herbs was“promoting blood circulation and removing blood stasis”,followed by“supple-menting deficiency(Qi supplementing,blood supplementing,and Yang supplementing)”,and“dispelling wind and dampness”.The data were analyzed with the support≥15%and con-fidence=100%,and after de-duplication,five second-order association rules,39 third-order association rules,39 fourth-order association rules,and two fifth-order association rules were identified.The top-ranking association rules of each were“Cangzhu(Atractylodis Rhizoma)→Huangbo(Phellodendri Chinensis Cortex)”“Cangzhu(Atractylodis Rhizoma)+Chuanniuxi(Cyathulae Radix)→Huangbo(Phellodendri Chinensis Cortex)”“Chuanniuxi(Cyathulae Radix)+Danggui(Angelicae Sinensis Radix)+Gancao(Glycyrrhizae Radix et Rhizoma)→Qinjiao(Gentianae Macrophyllae Radix)”and“Chuanniuxi(Cyathulae Radix)+Danggui(Angelicae Sinensis Radix)+Gancao(Glycyrrhizae Radix et Rhizoma)+Huangbo(Phello-dendri Chinensis Cortex)→Qinjiao(Gentianae Macrophyllae Radix)”,respectively.Five clusters were obtained using cluster analysis of the top 30 herbs.The herbs were mainly dry-ing dampness,supplementing Qi,and promoting blood circulation.The main prescriptions of AS were Ermiao San(二妙散),Gegen Jianghuang San(葛根姜黄散),and Huangqi Chongteng Yin(黄芪虫藤饮).The herbs of core prescription included Cangzhu(Atractylodis Rhizoma),Chuanniuxi(Cyathulae Radix),Gancao(Glycyrrhizae Radix et Rhizoma),Huangbo(Phellodendri Chinensis Cortex),Mugua(Chaenomelis Fructus),Qinjiao(Gentianae Macro-phyllae Radix),Danggui(Angelicae Sinensis Radix),and Yiyiren(Coicis Semen).Conclusion Clearing heat and dampness,relieving collaterals and pain,and invigorating Qi and blood are the most commonly used therapies for the treatment of AS by Professor XIONG Jibo.Additionally,customized NLP model could improve the efficiency of data mining in TCM.

Treatment of Sjogren's Syndrome with Liver Depression

Liu Chunying is a famous old Chinese medicine doctor for more than 30 years.He has rich experience in the understanding and treatment of Sjogren's syndrome(SS).Liu Shi systematically discusses the etiology and pathogenesis of SS from the angle of liver depression.In the treatment,it is emphasized that"Muyu Da Zhi"is the first,with the addition and subtraction of the disease,to provide a new idea for the treatment of Sjogren's syndrome from liver depression,and to attach a test case.

基于R语言数据挖掘的脓毒症中医证型及用药规律分析

目的:利用R语言数据挖掘技术分析脓毒症的中医证型及用药规律,为脓毒症临床中医诊疗方案提供参考。方法:通过检索PubMed、Web of Science、中国知网、万方、维普和中国生物医学文献数据库,收集从建库至2023年12月31日收录的符合纳入标准的中医药治疗脓毒症临床研究文献,建立相关处方数据库。运用Excel整理并分析方药信息,包括中医辨证分型、治法治则,中药的使用频次、性味、归经、功效等;并利用R语言进行关联规则分析及聚类分析。结果:共检索出文献10345篇,纳入分析280篇,涉及中药215味,其中排名前10的中药分别是大黄、甘草、赤芍、厚朴、黄芪、芒硝、黄芩、丹参、地黄、枳实;四气以寒、温为主,五味以苦、甘、辛为主,归经以脾、胃、肺为主,功效以清热、补虚、泻下为主,证型以热毒内盛证、瘀毒内阻证为主。关联规则分析得到核心组方为大黄、芒硝、枳实、厚朴、当归、川芎、赤芍、桃仁、地黄、红花。高频药物聚类分析得到4个聚类群,适用于不同证型。结论:治疗脓毒症的用药规律以清热、泻下、化瘀、补虚为主,核心证型-处方有4类,临床上应根据患者的证候特点进行辨证论治,在核心证型-处方的基础上随证加减。

《本草纲目》中清热药探析

目的:梳理李时珍治疗热证类疾病的用药规律,旨在为今后临床清热药的使用和研究开发提供参考与借鉴。方法:以李时珍《本草纲目》为据,运用文献检索的方法,对其中具有清热作用的药进行筛选,对药物分布、归经、四气、五味和毒性归纳并进行统计分析。结果:筛选出231味药具有清热作用,草部、木部和菜部为主要来源,药性多为寒、平,药味以甘、苦、辛居多,主要归肝、肺、胃经,大部分药物没有毒性。结论:《本草纲目》对清热药的运用在继承的基础上具有创新的特点,以草部药物为主,善用甘味药物,巧用毒性药物,对当今临床治疗热证病系的合理选药及开展清热药的研发提供了参考依据。

中医辨证治疗前庭性偏头痛的多中心前瞻性队列研究

目的:评价中医辨证治疗前庭性偏头痛的临床疗效,探讨中医辨证用药规律。方法:采用前瞻性队列研究方法,选取前庭性偏头痛患者197例,根据是否采用中医辨证治疗为暴露因素,分为中药组与西药组,分别为123例与74例。观察两组治疗第4、8、12周的眩晕复发率及相关结局指标。结果:治疗第4、8、12周,眩晕复发率中药组依次为14.9%、18.4%、29.7%,西药组依次为12.3%、32.8%、55.6%,其中第8、12周两组比较差异有统计学意义(P<0.05);治疗后第4周,眩晕残障量表评分(dizziness handicap inventory,DHI)、VAS评分改善情况西药组优于中药组,但差异无统计学意义(P>0.05),第8、12周DHI、VAS评分改善情况中药组均优于西药组(P<0.05);共收集门诊处方273首,涉及中药76味,使用频率前十位的中药依次为天麻、法半夏、柴胡、茯神、远志、茯苓、酸枣仁、煅龙骨、珍珠母、黄芩。结论:中医辨证治疗前庭性偏头痛在改善眩晕症状,控制眩晕复发方面优势明显,但起效速度方面不及西药治疗。临床用药以疏肝解郁、重镇安神为主,安神之法应贯穿治疗始终。

基于数据挖掘方法探讨脾胃名家李德新教授临床诊疗虚劳疾病规律

目的基于数据挖掘技术探讨李德新教授治疗虚劳疾病的用药规律。方法收集、整理李德新教授临床诊疗虚劳疾病的病例,运用频数、频率、聚类分析、关联分析等方法对病例中的证型诊断和处方用药进行统计分析和数据挖掘,归纳整理后对医案数据进行科学计算。结果共纳入治疗标准医案虚劳741例,挖掘出与疾病相对应的高频症状、高频证型、高频中药,并对中药进行聚类分析得到有效配伍,同时进行症状、证型与相关中药的关联分析。结论利用数据挖掘技术,可初步揭示李德新教授临床诊疗虚劳疾病的规律,从虚劳论治,培补虚劳对于疾病的治疗具有重要意义,有助于更好地传承李德新教授的学术思想,具有较高的临床参考和学习价值。

Modern Literature Research on Children Sweat Syndrome based on TF-IDF

Objective:To explore the characteristics of intelligent syndrome diagnosis and intelligent syndrome differentiation of pediatric sweat syndrome by retrospectively studying the traditional Chinese medicine(TCM)-based diagnosis and rule of drug use on pediatric sweat syndrome in China Academic Journal Full-text Database(CNKI),Wanfang Database(WF)and VIP database.Methods:Modern literature on pediatric sweat syndrome was collected with Endnote software,and the collected data were input into The Microsoft Excel 2010 table.TF-IDF relative entropy quantitative analysis was used to extract the intelligent diagnosis and intelligent medication rule of pediatric sweat syndrome in modern literature.Results:TF-IDF was used to obtain the syndrome’s type-symptom fuzzy matrix and syndrome’s type-TCM fuzzy matrix of qi-yin deficiency and qi-deficiency.Conclusion:The intelligent syndrome diagnosis and intelligent syndrome differentiation law of modern data mining in the treatment of children sweat syndrome accord with the basic theory of TCM,and can provide clinical reference to a certain extent.

基于真实世界数据的青春期异常子宫出血用药规律研究

目的:通过对女童青春期异常子宫出血患儿临床实际诊疗病例资料进行数据挖掘分析其中药治疗的用药规律。方法:基于医院信息管理系统提取2020年1月至2022年12月首都医科大学附属北京儿童医院女童青春期异常子宫出血患儿的病历数据,分为止血期和调理期2个阶段,总结归纳其辨治规律。结果:纳入止血期663例患儿,1020例病历;调理期796例患儿,2047例病历。止血期涉及中药169味,排名前5位为侧柏炭、牡丹皮、小蓟、麸炒椿皮和白芍,性味以寒、苦药为最多,归经以肝经为最多,功效以止血、补虚类药物为最多;调理期涉及中药232味,排名前5位为当归、酒女贞子、炙淫羊藿、黄芪和生地黄,性味以温、甘药最多,归经以肝、肾经为最多,功效以补虚类为最多。聚类分析分别获得4类和5类核心药物组合。结论:真实世界临床数据显示肾阴亏虚、血热内扰为青春期异常子宫出血常见证型,治则先以止血为主,待崩漏缓解后,重在调补脾肾以复旧,组方注重止血、补虚、收涩和清热等药物的配伍应用。

基于数据挖掘探析《景岳全书》痹证用药特色及组方规律

目的 使用数据挖掘技术探析《景岳全书》治疗痹证内服方药所体现的用药特色及组方规律,启迪现代临床组方用药思路。方法 通过对《景岳全书》中内服治痹方所涉及的药物进行整理归纳,使用Microsoft Excel(2019)对《景岳全书》治痹内服方所用药物进行频数统计,使用IBM SPSS 25.0、IBM SPSS Modeler 18.0中Apriori算法,进行聚类分析和关联规则分析,探求张介宾治痹用药特色及组方思想。结果 《景岳全书》共计94首治痹方剂,涉及药物140种,累计用药794次;用药频次最高的前15味药分别为甘草、当归、川芎、茯苓、防风、羌活、白术、肉桂、牛膝、人参、熟地黄、附子、陈皮、白芍、苍术;所使用的药物主要为温性药,药味以辛味为主,主要归脾(胃)经,补虚药使用总频次最高;对使用频次最高的前46味药物进行聚类分析,得出枳壳-桔梗,陈皮-半夏,槟榔-紫苏叶等18组药物组合;对用药频次最高的前46味药物进行关联规则分析,得出等甘草-人参-茯苓,甘草-人参-白术、当归-熟地黄-川芎等13组药物组合。结论 张氏治痹重视补益肝肾、培补真阴,辨证论治而强调祛除寒邪,擅长健脾益气、调理气机以祛除痰湿之邪,强调活血化瘀药物的使用。

基于数据挖掘的中医药治疗原发性干燥综合征燥湿互结证的用药规律研究

目的:总结北京中医药大学东方医院风湿科研究团队治疗原发性干燥综合征燥湿互结证的用药规律。方法:筛选2018年1月至2022年12月原发性干燥综合征燥湿互结证患者的病历资料,使用Excel软件建立数据库并进行统计,采用Modeler 18.0软件进行关联规则和复杂网络分析,联合Cytoscape软件对结果进行可视化。采用SPSS 20.0软件进行聚类分析。结果:共纳入处方139首,涉及188味中药,使用频次≥25次的中药共34味。筛选出药物关联组合73条,复杂网络分析得到核心中药组合丹参-青蒿-石斛-白芍,共得到8个聚类组合。结论:原发性干燥综合征燥湿互结证临证用药以清化湿热、祛瘀生津为法,根据“湿”“热”“燥”“瘀”的不同程度加减化裁,为干燥综合征的临床用药提供思路及参考。

基于数据挖掘浅析妇科名家治疗PCOS用药规律

目的运用中医传承辅助平台(V 2.5)探讨全国中医妇科名家治疗多囊卵巢综合征(Polycystic ovary syndrome,PCOS)组方及用药规律。方法阅读并筛选《妇科名家诊治多囊卵巢综合征临证经验》医案,通过中医传承辅助平台(V 2.5)建立方剂数据库,采用频数分析、关联规则、聚类分析等方法进行数据的统计与分析。结果共筛选出书中方剂240首,涉及231味中药,其中使用药物频次≥50次的药物有17味,前5味分别为:当归、菟丝子、香附、茯苓、川芎;药物归经以肝经为主,其次为肾、脾经;药物四气以温平为主;药味以甘为主。通过关联规则分析得到12条药物组合;通过聚类分析可得到核心药物组合14组,新处方7首。结论全国中医妇科名家治疗PCOS多围绕肝肾脾论治,在补血调血的基础上,佐以补益肝肾、疏肝健脾、活血化瘀、燥湿化痰。

刘真教授膏方治疗心系疾病辨证思路及方药规律研究

目的探讨刘真教授膏方治疗心系疾病的辨证思路及方药规律。方法收集整理2017年—2020年刘真教授门诊膏方病案,应用“中医传承辅助平台”软件进行信息采集并建立数据库。通过统计报表和数据分析进行数据挖掘,总结刘真教授应用膏方的辨治思路和方药规律。结果收集膏方252首;病种包括胸痹、心悸、心衰病等;使用频次最高的前5位中药是党参、五指毛桃、茯苓、百合、黄芪。将支持度设置为60,置信度设为0.95,提取出药物组合;通过关联规则分析其中的关联度,置信度为1的药物组合共有20对,包括党参和茯苓、党参和五指毛桃等。结论刘真教授膏方治疗心系疾病以五脏同调、健运中焦、调畅气机为原则,用药有三因制宜、动静结合、润燥相合、畅达气机等特点。体现其“治心不唯心,五脏同调,以脾胃为中心,重视肝脾两脏同治,兼顾肺肾,畅达气机”的学术思想。

自拟除痤汤辨治痤疮

自拟除痤汤由桑白皮、枇杷叶、白花蛇舌草、虎杖、薏苡仁组成,具有配伍简单、药少力专的特点,诸药合用,可起到清肺泻脾、凉血解毒、除湿消痤之功效。临证加减治疗痤疮,具有较好的临床效果。附新病痤疮(邪实为主,肺经风热)、久病痤疮(邪实为主,热毒内蕴;邪正俱盛,热毒内蕴,痰湿瘀阻;正衰邪恋,热毒内蕴,气血不和)验案4则。

消食药在肿瘤治疗中的运用规律

中医认为脏腑气血亏虚、痰瘀毒邪互结是肿瘤发病中的重要因素。消食药健运中焦、疏肝理气、祛痰逐瘀等功效与肿瘤正虚邪实的核心病机高度契合,在肿瘤治疗中发挥着独特作用,现代药理学研究表明此类药物可以通过调节肠道菌群、抑制炎症介质表达、抑制血管生成、诱导细胞凋亡等抗肿瘤。临证时应谨守病机、随证加减、合理配伍、巧妙化裁、注意禁忌。