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2016 年至 2020 年糖尿病肾病研究领域的文献计量学研究趋势

Bibliometric Study of Trends in the Diabetic Nephropathy Research Space from 2016 to 2020.

机构信息

Department of Endocrinology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China.

出版信息

Oxid Med Cell Longev. 2022 Apr 12;2022:8050137. doi: 10.1155/2022/8050137. eCollection 2022.

DOI:10.1155/2022/8050137
PMID:35450407
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9018194/
Abstract

BACKGROUND

Diabetic nephropathy (DN) is one of the most common microvascular complications of diabetes mellitus (DM), but no bibliometric studies pertaining to DN have been published within the last 5 years.

OBJECTIVES

Most prior studies have focused on specific problems in the DN field. This study attempts to sort out and visualize the knowledge framework in this research space from a holistic and highly generalized perspective. Readers can quickly understand and master the knowledge regarding DN research conducted from 2016 to 2020, in addition to predicting future research hotspots and possible directions for development in this field in a comprehensive and scientifically valid manner.

METHODS

Literature information, discourse matrices, and co-occurrence matrices were generated using BICOMB. gCLUTO was used for biclustering analyses and visualization. Strategic diagrams were generated using GraphPad Prism 5. The social network analysis (SNA) was analyzed and plotted using Ucinet 6.0 and Netdraw.

RESULTS

In total, 55 high-frequency MeSH terms/MeSH subheadings were selected and grouped into 5 clusters in a biclustering analysis. These analyses revealed that extensive studies of the etiology, diagnosis, and treatment of DN have been conducted over the last 5 years, while further research regarding DN-related single nucleotide polymorphisms, miRNAs, and signal transduction are warranted as these research areas remain relatively immature.

CONCLUSION

Together, these results outline a robust knowledge structure pertaining to the field of DN-related research over the last 5 years, providing a valuable resource for readers by enabling the easy comprehension of relevant information. In addition, this analysis highlights predicted DN-related research directions and hotspots.

摘要

背景

糖尿病肾病（DN）是糖尿病（DM）最常见的微血管并发症之一，但在过去 5 年内，尚未发表过关于 DN 的文献计量学研究。

目的

大多数先前的研究都集中在 DN 领域的特定问题上。本研究试图从整体和高度综合的角度梳理和可视化该研究领域的知识框架。读者可以快速了解和掌握 2016 年至 2020 年期间进行的 DN 研究的知识，此外，还可以全面、科学地预测该领域未来的研究热点和可能的发展方向。

方法

使用 BICOMB 生成文献信息、话语矩阵和共现矩阵。使用 gCLUTO 进行双聚类分析和可视化。使用 GraphPad Prism 5 生成战略图。使用 Ucinet 6.0 和 Netdraw 进行社会网络分析（SNA）的分析和绘图。

结果

共选择了 55 个高频 MeSH 术语/MeSH 副标题，并在双聚类分析中分为 5 个簇。这些分析表明，过去 5 年对 DN 的病因、诊断和治疗进行了广泛的研究，而对与 DN 相关的单核苷酸多态性、miRNA 和信号转导的进一步研究是必要的，因为这些研究领域仍相对不成熟。

结论

综上所述，这些结果概述了过去 5 年中与 DN 相关研究领域的强大知识结构，为读者提供了有价值的资源，使他们能够轻松理解相关信息。此外，该分析还突出了预测的 DN 相关研究方向和热点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7cf/9018194/e0ac71b2bf9e/OMCL2022-8050137.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7cf/9018194/0330deade206/OMCL2022-8050137.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7cf/9018194/3880c1a92e74/OMCL2022-8050137.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7cf/9018194/e7535a239260/OMCL2022-8050137.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7cf/9018194/e0ac71b2bf9e/OMCL2022-8050137.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7cf/9018194/0330deade206/OMCL2022-8050137.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7cf/9018194/3880c1a92e74/OMCL2022-8050137.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7cf/9018194/e7535a239260/OMCL2022-8050137.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b7cf/9018194/e0ac71b2bf9e/OMCL2022-8050137.004.jpg

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