首页> 中文期刊> 《中国中医药信息杂志》 >近20年中医药防治肥胖2型糖尿病研究趋势可视化分析

近20年中医药防治肥胖2型糖尿病研究趋势可视化分析

         

摘要

目的 采用可视化方法分析近20年中医药防治肥胖2型糖尿病(T2DM)相关研究,了解该领域研究热点及发展趋势.方法 计算机检索中国知识资源总库(CNKI)中医药防治肥胖T2DM的相关文献,采用 CiteSpaceV 对作者、研究机构和关键词进行可视化分析,探讨其研究热点、研究前沿、主要研究团体及发展趋势.采用KNS6.6定量分析纳入文献分布特征、核心引文等,并进行可视化展示.结果 经筛选,纳入文献130篇,涉及主要研究者257名和主要研究团队6个,其中主要研究者有仝小林、董柳、周丽波等,主要研究机构有中国中医科学院广安门医院、北京中医药大学、长春中医药大学、广州中医药大学等,主要研究方向有肥胖T2DM的分证诊治、针灸治疗、中医干预炎症机制等.本研究预测探索肥胖T2DM中医病机的阐释、中医临床路径的构建可能是未来的研究发展趋势及热点.结论 通过可视化分析,可快速、直观了解该领域近20年主要研究方向、研究热点、演化脉络及发展趋势,为进一步研究提供依据.%Objectives To use visualization method to analyze the relevant literature about prevention and treatment of obesity type 2 diabetes mellitus (T2DM) with TCM; To understand research hot spots and development trends of this field. Methods Computers were used to retrieve prevention and treatment of T2DM with TCM in CNKI. CiteSpaceV was used to visualize the authors, research institutes and keywords, and discussed their research hot spots, research frontiers, major research groups and trends. KNS6.6 was used to quantitatively analyzed included literature distribution characteristics, core citations, etc., and conducted visual display. Results After screening, 130 articles were included, involving 257 researchers and 6 research institutes, among which, TONG Xiao-lin, DONG Liu, ZHOU Li-bo, etc. were the main researchers. Guang'anmen Hospital of China Academy of Chinese Medical Sciences is the most important research institute, followed by Beijing University of Chinese Medicine, Changchun University of Chinese Medicine and Guangzhou University of Chinese Medicine. The main research directions included the diagnosis and treatment of obesity T2DM, acupuncture and moxibustion treatment, the mechanism of TCM intervention in inflammation. This study predicted exploration of the TCM pathogenesis of obesity T2DM and the construction of TCM clinical pathway may be the future research trends and hot spots. Conclusion Through visualization analysis, the main research directions in the field in recent 20 years, research hot spots, evolution veins and development trends can be understood quickly and intuitively, providing a basis for further research.

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