首页> 中文期刊> 《广州中医药大学学报》 >基于中医辅助传承系统的中医药治疗单纯性肥胖方剂组方规律分析

基于中医辅助传承系统的中医药治疗单纯性肥胖方剂组方规律分析

         

摘要

[目的]对近30多年来国内关于中医药治疗单纯性肥胖的文献进行挖掘分析,探讨中医药治疗单纯性肥胖方剂的组方用药规律.[方法]检索维普中文科技期刊数据库、 中国期刊全文数据库(CNKI)、 万方数据库、 中国生物医学文献数据库、中文生物医学期刊数据库等,筛选并纳入有关中医药治疗单纯性肥胖的文献,应用中医辅助传承系统(Traditional Chinese Medicine Inheritance Support System,TCMISS)2.5软件建立数据库,并进行相关数据挖掘.[结果]共筛选出治疗单纯性肥胖方剂57首.对筛选出的方剂进行分析,发现方剂中出现频次居前10的药物分别为茯苓、 白术、 泽泻、 大黄、 山楂、 黄芪、甘草、 荷叶、 陈皮、 决明子.挖掘出高频药对13对,核心组合31个,新处方8个.[结论]本研究实现了对药物之间关联性的定量描述、 核心组合提取及治疗肥胖中医新处方的发现,可为研发防治单纯性肥胖的中药新药提供参考.%Objective To explore the composition principles of prescriptions for simple obesity based on the analysis of medical literature issued in recently 30 years about Chinese medicine for simple obesity. Methods We collected literature of Chinese medicine in treating simple obesity from VIP, CNKI, Wanfang, CBM and CMCC/CMCI databases, and screened out the formulas for simple obesity to establish a formula database. And then the medication rules were figured out with the Traditional Chinese medicine Inheritance Support System version 2.5 (TCMISS 2.5) software. Results A total of 57 formulas were screened out. And the top 10 herbs with highest occurrence frequency in the prescriptions were Poria, Rhizoma Atractylodis Macrocephalae, Rhizoma Alismatis, Radix et Rhizoma Rhei, Fructus Crataegi, Radix Astragali, Radix Glycyrrhizae, Folium Nelumbinis, Pericarpium Citri Reticulatae and Semen Cassiae. After data mining, we got 13 high-frequency herb-pair combinations and 31 core combinations, and 8 new prescriptions were extracted. Conclusion The research has achieved the quantitative description of the relationship between the Chinese medicines, the extraction of the core combinations and the discovery of new Chinese medicine prescriptions for simple obesity. The results will provide references for the development of new Chinese medicines for the treatment of simple obesity .

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