Analysis of the medication patterns and characteristics of traditional Chinese medicine in the treatment of high-risk pulmonary nodules
Objective:Based on retrospective analysis and data mining,this study investigates the medication patterns and characteristics of traditional Chinese medicine in the treatment of high-risk pulmonary nodules(PN).Methods:The literature was retrieved from databases on the treatment of high-risk pulmonary nodules with traditional Chinese medicine such as China National Knowledge Infrastructure(CNKI),after which a prescription database was screened and constructed.Using Excel 2010,SPSS Modeler 18.0,and Origin 2018,high-frequency drug statistics,association rules,and systematic clustering on prescriptions were conducted.Results:A total of 38 literature on the treatment of high-risk pulmonary nodules with traditional Chinese medicine were selected,and 63 prescriptions involving 202 traditional Chinese medicines were obtained.There are 20 medicines with a frequency of≥10,and the top 10 medicines with a frequency are Astragalus membranaceus,Chenpi,Pinellia ternata,Codonopsis pilosula,Hedyotis diffusa,Licorice,Poria cocos,Coix seed,Atractylodes macrocephala,and Curcuma zedoary.The one of four qi are mainly cold,while the five flavors are mainly sweet,bitter,and spicy.The meridians are most concentrated in the lungs,spleen,and liver.Association rule analysis resulted in 10 commonly used drug pairs.The system clustering resulted in 7 new combinations.Conclusion:Traditional Chinese medicine treatment for high-risk pulmonary nodules mainly focused on tonifying qi and detoxifying,promoting blood circulation and breaking blood stasis,and resolving phlegm and nodules.Special attention is paid to the application of anti-tumor and anti-cancer drugs.The new formulas obtained from data mining,especially the combination of Hedyotis diffusa,Scutellaria barbata,Zedoary turmeric,Fritillaria thunbergii,Sang Bai and roasted licorice,can provide good clinical reference.
pulmonary nodulestraditional Chinese medicineretrospective analysisdata miningmedication patterns
NETL
NSTL
万方数据
