title: [Analysis on medication regularity of Chinese patent medicines containing Scutellaria baicalensis].
abstract: To analyze the composition regularity of prescriptions containing Scutellaria baicalensis in Drug Standard of Ministry of Public Health of the Peoples Republic of China--Chinese Patent Medicines and Preparations on the basis of the traditional Chinese medicine inheritance support system (TCMISS), in order to provide reference for new drug R&D. the platform's software V2.0 was applied to establish a database of prescriptions containing S. baicalensis. The software's statistical statement module, association rules and improved mutual information method and other data mining technologies were adopted to analyze commonly used drugs, combination rules and core combination of S. baicalensis prescriptions. Having analyzed 477 prescriptions containing S. baicalensis, the researchers summarized 45 most commonly used drug combinations, whose ingredients mostly had functions of heat-clearing and damp-drying, purging fire for removing toxin and hemostasis. Drugs adopted in core combinations were relatively concentrated and selected according to definite composition methods. There were 23 diseases that S. baicalensis were most frequently applied in the treatment. Having compared three highly frequent diseases--cold, cough and dizziness, the researchers concluded that S. baicalensis could show different therapeutic effects through different combination ratios. Therefore, TCMISS (V2.0) is an important tool in analyzing the composition regularity of traditional Chinese medicines. The longitudinal and parallel comparison method is an effective method for studying the clinical composition regularity of S. baicalensis, while providing reference for new drug R&D.
authors.forename: Qiang
authors.initials: Q
authors.lastname: Jia
authors.forename: Dan
authors.initials: D
authors.lastname: Shen
authors.forename: Shi-Huan
authors.initials: SH
authors.lastname: Tang
authors.forename: De-Feng
authors.initials: DF
authors.lastname: Li
authors.forename: Yi
authors.initials: Y
authors.lastname: Zhang
authors.forename: Hong-Jun
authors.initials: HJ
authors.lastname: Yang
mesh_terms: D002681:China; D004339:Drug Compounding / Q000706:statistics & numerical data; D004358:Drug Therapy / Q000706:statistics & numerical data*; D006801:Humans; D010936:Plant Extracts / Q000032:analysis* / Q000627:therapeutic use; D031364:Scutellaria baicalensis / Q000737:chemistry*
chemical_list: D010936:Plant Extracts; C499814:Scutellaria baicalensis extract