糖尿病肾脏病中医药研究文献计量学分析

Literature bibliometric analysis of traditional Chinese medicine research on diabetic kidney disease

关键词:  CiteSpace  中医药  糖尿病肾脏病  文献计量学  可视化分析

Key words:  CiteSpace  traditional Chinese medicine  diabetic kidney disease  bibliometrics  visual analysis

摘要:

[目的] 对中医药治疗糖尿病肾脏病相关领域进行知识图谱分析，探索近10年的发展状况、研究热点与新兴趋势。[方法] 检索中国知网（CNKI）、万方数据知识服务平台（Wanfang Database）、维普资讯中文科技期刊数据库（VIP）、中国生物医学文献服务系统（SinoMed）4个中文数据库发表的关于中医药治疗糖尿病肾脏病的文献作为研究对象，运用CiteSpace对其进行文献计量分析并绘制可视化知识图谱。[结果] 共计纳入1 399篇文献，近4年发文量呈上升趋势。作者合作图谱共纳入4 863名作者，其中核心作者160名，发文581篇，占总发文量41.53%，陈志强-方敬（等），王耀献-宋纯东，赵进喜，谢毅强，柳红芳，石岩，庞欣欣，徐江雁，郭登洲9个团队是该领域的主要研究团队。机构合作图谱中共纳入1 284家机构，主要研究机构以北京为中心，分布河北、河南、南京等地中医药高校及其附属医院，北京中医药大学、河北中医学院是发文最多的机构，河南中医药大学是近2年的发文主力。关键词共现图谱共纳入534个关键词，形成20个聚类、若干新兴关键词及22个突现词。[结论] 该领域文献发表量目前处在上升期，核心作者群暂未形成。传承中医理论、经典名方及名老中医经验，聚焦单一证型或分期拟定特色经验方，进行高质量的机器学习、生信分析、动物实验、临床验证，并进行理论总结，是目前大团队的常见科研思路。糖尿病肾脏病研究涉及的机制复杂多样，研究方法也各异不同。“氧化应激”和“足细胞”是该领域出现频率较高的关键词，“纤维化”“焦亡”“网络药理学”“经验”突显较强。

Abstract:

[Objective] This study conducted a scientometric mapping analysis of research domains related to traditional Chinese medicine（TCM） Interventions for diabetic kidney disease（DKD） to examine the developmental trajectory，research hotspots，and emergent thematic trends over the past decade. [Methods] The periodical literature on the treatment of diabetic kidney disease with traditional Chinese medicine，published in four Chinese databases-CNKI，Wanfang Database，VIP and SinoMed-was retrieved as the focus of the research. CiteSpace was employed to conduct bibliometric analysis and create a visual knowledge map. [Results] A total of 1 399 relevant literature were included，and the number of publications in the past four years has shown an upward trend. The author collaboration map included a total of 4 863 authors，among whom 160 core authors contributed 581 papers，accounting for 41.53% of the total publications. The teams of CHEN Zhiqiang-FANG Jing（et al.），WANG Yaoxian-SONG Chundong，ZHAO Jinxi，XIE Yiqiang，LIU Hongfang，SHI Yan，PANG Xinxin，XU Jiangyan，and GUO Dengzhou are the main research teams in this field. The institution collaboration map included a total of 1 284 institutions. The main research institutions were centered in Beijing and distributed in Hebei，Henan，Nanjing and other places，including universities of traditional Chinese medicine and their affiliated hospitals. Beijing University of Chinese Medicine and Hebei University of Chinese Medicine were the institutions with the most publications，while Henan University of Chinese Medicine was the main contributor in the past two years. The keyword co-occurrence map included a total of 534 keywords，forming 20 clusters，several emerging keywords，and 22 burst words. [Conclusion] The number of publications in this field is currently in an upward trend，and the core author group has not yet formed. The common research approach of large teams is to inherit TCM theories，classic prescriptions，and the experience of renowned TCM practitioners，focusing on formulating characteristic empirical prescriptions for a single syndrome type or stage，conducting high-quality machine learning，bioinformatics analysis，animal experiments，clinical verification，and theoretical summarization. The mechanisms involved in DKD research are complex and diverse，and the research methods are also different. “Oxidative stress” and “podocytes” are frequency words used in this field，while “fibrosis” “pyroptosis” “network pharmacology” and “experience” are more prominent.