Objective:To analyze the medication law of traditional Chinese medicine(TCM)compound prescriptions for the treat-ment of cancer-induced bone pain(CIBP)based on data mining.Methods:The clinical studies on the treatment of CIBP by TCM compound prescriptions were retrieved from four Chinese databases from the inception of the databases to December 31,2021.The effective TCM compound prescriptions were screened,and the frequency,properties,tastes,meridian tropism,and efficacy of the in-volved herbal medicines were analyzed.Association rule analysis,cluster analysis,and complex network visualization were conduc-ted.Results:A total of 62 randomized controlled trials(RCTs)were obtained,including 4 863 patients,2 413 in the experimental group and 2 450 in the control group.There were 62 TCM compound prescriptions,involving 139 herbal medicines,with a total fre-quency of 715.They were mostly pungent and warm and acted on the liver,kidney,and spleen,with the main effects of restoring qi,followed by activating blood and resolving stasis.The association rules and complex network suggested that"Radix Rhemanniae Praeparata→Rhizoma Drynariae"had the strongest correlation,and the high-frequency herbal medicines were divided into six cate-gories by cluster analysis.Conclusion:Tonifying and replenishing the liver and kidney,activating blood and dredging meridians are the priorities in the treatment of CIBP by TCM compound prescriptions,and"Radix Rhemanniae Praeparata→Rhizoma Drynariae"was the core combination,which reflects the characteristics of reinforcing healthy qi and eliminating pathogenic factor as well as simultaneous treatment of the symptoms and root cause.
Cancer-induced bone painBone metastasesCancer-related painTraditional Chinese medicine compound prescrip-tionMedication ruleRadix Rhemanniae PraeparataRhizoma DrynariaeData mining
国家科技期刊平台
NSTL
维普
万方数据
