基于CiteSpace的中医软坚散结法的可视化分析  被引量:1

Visualization analysis of softening hardness and dispersing mass in traditional Chinese medicine based on CiteSpace

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作  者:李思婷 王志国[1] LI Siting;WANG Zhiguo(Institute of Basic Research in Clinical Medicine,China Academy of Chinese Medical Sciences,Beijing100700,China)

机构地区:[1]中国中医科学院中医临床基础医学研究所,北京100700

出  处:《中国医药导报》2022年第35期135-139,共5页China Medical Herald

基  金:科技部基础性工作专项资助项目(2008FY230500)。

摘  要:目的采用可视化软件CiteSpace分析中医软坚散结法的研究现状、热点及趋势。方法计算机检索中国知网数据库从建库至2022年3月关于软坚散结法研究的相关文献,采用CiteSpace软件对作者、研究机构和关键词进行可视化分析。结果对1998—2022年的1689篇研究文献进行可视化图谱分析:核心作者以张军平、叶小汉、高天舒为代表;主要研究机构有天津中医药大学、天津中医药大学第一附属医院、山东中医药大学等;高频关键词涉及研究类型及方法、疾病治疗、常用药物、联合治法、机制研究5大类;研究疾病从子宫内膜异位症、子宫肌瘤、乳腺增生等转向动脉粥样硬化、冠心病、肺结节等,重视经验方成果转化,研究方法在临床研究和临证经验的基础上拓展了数据挖掘、聚类分析等方法。结论数据挖掘、聚类分析等研究分析方法是当前的研究热点,软坚散结法治疗微型癥瘕积聚类疾病的临床研究和经验方成果转化是未来的研究趋势。Objective To analyze the research status,hotspot and development trend of softening hardness and dispersing mass of traditional Chinese medicine by using visualization software CiteSpace.Methods The relevant literature on softening hardness and dispersing mass from the inception of the China National Knowledge Infrastructure database to March 2022 was searched by computer.CiteSpace software was used for visual analysis of authors,research institutions and keywords.Results A visual analysis was conducted on 1689 articles from 1998 to 2022.The core authors were represented by Zhang Junping,Ye Xiaohan and Gao Tianshu.Major research institutions included Tianjin University of Traditional Chinese Medicine,the First Affiliated Hospital of Tianjin University of Traditional Chinese Medicine,Shandong University of Traditional Chinese Medicine,etc.High frequency keywords involved five categories of research types and methods,disease treatment,commonly used drugs,combined therapy and mechanism research.Research on diseases had shifted from endometriosis,hysteromyoma,breast hyperplasia to atherosclerosis,coronary heart disease,pulmonary nodules,etc.The transformation of empirical results had been emphasized,and research methods had expanded data mining,cluster analysis,and other methods on the basis of clinical research and clinical experience.Conclusion Data mining,clustering analysis,and other research and analysis methods are the current research focus.The clinical research of softening hardness and dispersing mass in the treatment of micro-accumulation diseases and achievement transformation of empirical prescriptions are the research trend in the future.

关 键 词:软坚散结法 文献计量学 CITESPACE 可视化分析 

分 类 号:R242[医药卫生—中医临床基础]

 

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