Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.
Oxid Med Cell Longev. 2023 Jan 21;2023:4555609. doi: 10.1155/2023/4555609. eCollection 2023.
The PubMed database was searched to identify all studies related to DN that were published from 2001 to 2021, with these studies being separated into four time-based groups. The characteristics of these studies were analyzed and extracted using BICOMB. Biclustering analyses for each of these groups were then performed using gCLUTO, with these results then being analyzed and GraphPad Prism 5 being used to construct strategy diagrams. The social network analyses (SNAs) for each group of studies were conducted using NetDraw and UCINET.
In total, 18,889 DN-associated studies published from 2001 to 2021 and included in the PubMed database were incorporated into the present bibliometric analysis. Biclustering analysis and strategy diagrams revealed that active areas of research interest in the DN field include studies of the drug-based treatment, diagnosis, etiology, pathology, physiopathology, and epidemiology of DN. The specific research topics associated with these individual areas, however, have evolved over time in a dynamic manner. Strategy diagrams and SNA results revealed podocyte metabolism as an emerging research hotspot in the DN research field from 2010 to 2015, while DN-related microRNAs, signal transduction, and mesangial cell metabolism have emerged as more recent research hotspots in the interval from 2016 to 2021.
Through analyses of PubMed-indexed studies pertaining to DN published since 2001, the results of this bibliometric analysis offer a knowledge framework and insight into active and historical research hotspots in the DN research space, enabling investigators to readily understand the dynamic evolution of this field over the past two decades. Importantly, these analyses also enable the prediction of future DN-related research hotspots, thereby potentially guiding more focused and impactful research efforts.
检索 PubMed 数据库,以确定从 2001 年至 2021 年发表的所有与糖尿病肾病(DN)相关的研究,并将这些研究分为四个基于时间的组。使用 BICOMB 分析和提取这些研究的特征。然后,使用 gCLUTO 对每组进行双聚类分析,使用 GraphPad Prism 5 构建策略图对这些结果进行分析。使用 NetDraw 和 UCINET 对每组研究进行社会网络分析(SNA)。
从 2001 年至 2021 年共纳入 18889 项与糖尿病肾病相关的研究,并将其纳入本文献计量学分析。双聚类分析和策略图显示,糖尿病肾病领域的研究热点包括药物治疗、诊断、病因、病理、病理生理学和流行病学。然而,随着时间的推移,这些领域的具体研究课题一直在动态演变。策略图和 SNA 结果显示,2010 年至 2015 年,足细胞代谢成为糖尿病肾病研究领域的新兴研究热点,而 2016 年至 2021 年,与糖尿病肾病相关的 microRNA、信号转导和系膜细胞代谢则成为新的研究热点。
通过对 2001 年以来发表的与糖尿病肾病相关的 PubMed 索引研究进行分析,本文献计量学分析提供了一个知识框架和对糖尿病肾病研究领域的活跃和历史研究热点的深入了解,使研究人员能够轻松理解该领域在过去二十年中的动态演变。重要的是,这些分析还可以预测未来与糖尿病肾病相关的研究热点,从而可能指导更有针对性和更有影响力的研究工作。