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糖尿病相关认知功能障碍的研究现状与新趋势:一项文献计量分析

Research landscape and emerging trends of diabetes-associated cognitive dysfunction: a bibliometric analysis.

作者信息

He Siyi, Liang Qingchun, Zhu Jie, Wang Chen, Lin Xiafei, Wu Duozhi, Zhang Wenqi, Lin Guanwen, Wang Zhihua

机构信息

Department of Anesthesiology, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.

Department of Anesthesiology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, Guangdong, China.

出版信息

Front Neurosci. 2023 Jul 28;17:1214301. doi: 10.3389/fnins.2023.1214301. eCollection 2023.

DOI:10.3389/fnins.2023.1214301
PMID:37575299
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10416239/
Abstract

BACKGROUND

Diabetes-associated cognitive dysfunction (DACD) is a common and serious complication in diabetes and has a high impact on the lives of both individuals and society. Although a number of research has focused on DACD in the past two decades, there is no a study to systematically display the knowledge structure and development of the field. Thus, the present study aimed to show the landscape and identify the emerging trends of DACD research for assisting researchers or clinicians in grasping the knowledge domain faster and easier and focusing on the emerging trends in the field.

METHODS

We searched the Web of Science database for all DACD-related studies between 2000 and 2022. Bibliometric analysis was conducted using the VOSviewer, CiteSpace, Histcite, and R bibliometric package, revealing the most prominent research, countries, institutions, authors, journals, co-cited references, and keywords.

RESULTS

A total of 4,378 records were selected for analysis. We found that the volume of literature on DACD has increased over the years. In terms of the number of publications, the USA ranked first. The most productive institutions were the University of Washington and the University of Pittsburgh. Furthermore, Biessels GJ was the most productive author. , , and had the most publications in this field. The keywords"dementia," "alzheimers-disease," "cognitive impairment" and "diabetes" are the main keywords. The burst keywords in recent years mainly included "signaling pathway" and "cognitive deficit."

CONCLUSION

This study systematically illustrated advances in DACD over the last 23 years. Current findings suggest that exploring potential mechanisms of DACD and the effect of anti-diabetes drugs on DACD are the hotspots in this field. Future research will also focus on the development of targeted drugs that act on the DACD signaling pathway.

摘要

背景

糖尿病相关认知功能障碍(DACD)是糖尿病常见且严重的并发症,对个人和社会生活都有很大影响。尽管在过去二十年里有许多研究聚焦于DACD,但尚无研究系统展示该领域的知识结构和发展情况。因此,本研究旨在呈现DACD研究的全貌并识别其新兴趋势,以帮助研究人员或临床医生更快、更轻松地掌握知识领域,并关注该领域的新兴趋势。

方法

我们在科学网数据库中搜索了2000年至2022年间所有与DACD相关的研究。使用VOSviewer、CiteSpace、Histcite和R文献计量包进行文献计量分析,揭示最突出的研究、国家、机构、作者、期刊、共被引参考文献和关键词。

结果

共筛选出4378条记录进行分析。我们发现,多年来关于DACD的文献数量有所增加。在出版物数量方面,美国排名第一。产出最多的机构是华盛顿大学和匹兹堡大学。此外,比斯尔斯·G·J是产出最多的作者。 、 和 在该领域发表的文章最多。关键词“痴呆”“阿尔茨海默病”“认知障碍”和“糖尿病”是主要关键词。近年来的突发关键词主要包括“信号通路”和“认知缺陷”。

结论

本研究系统阐述了过去23年DACD的进展。目前的研究结果表明,探索DACD的潜在机制以及抗糖尿病药物对DACD的影响是该领域的热点。未来的研究还将聚焦于作用于DACD信号通路的靶向药物的研发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3a1/10416239/24b50a3c4fd9/fnins-17-1214301-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3a1/10416239/b8e14b01e118/fnins-17-1214301-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3a1/10416239/3950adaddeb9/fnins-17-1214301-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3a1/10416239/45a5203c8c8f/fnins-17-1214301-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3a1/10416239/2119b3f6ed40/fnins-17-1214301-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3a1/10416239/516c3fbafe34/fnins-17-1214301-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3a1/10416239/ea5624326a4e/fnins-17-1214301-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3a1/10416239/95f0d6e5d3b8/fnins-17-1214301-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3a1/10416239/24b50a3c4fd9/fnins-17-1214301-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3a1/10416239/b8e14b01e118/fnins-17-1214301-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3a1/10416239/3950adaddeb9/fnins-17-1214301-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3a1/10416239/45a5203c8c8f/fnins-17-1214301-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3a1/10416239/2119b3f6ed40/fnins-17-1214301-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3a1/10416239/516c3fbafe34/fnins-17-1214301-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3a1/10416239/ea5624326a4e/fnins-17-1214301-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3a1/10416239/95f0d6e5d3b8/fnins-17-1214301-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3a1/10416239/24b50a3c4fd9/fnins-17-1214301-g008.jpg

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