当前位置: X-MOL 学术Cerebrovasc. Dis. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A Knowledge Map of the Relationship between Diabetes and Stroke: A Bibliometric Analysis Study.
Cerebrovascular Diseases ( IF 2.9 ) Pub Date : 2023-09-18 , DOI: 10.1159/000533383
Yitong Liang , Tingting Fan , Min Bai , Meng Tang , Na Cui , Yue Chen , Jinyi Chen , Jingwen Wang , Yue Guan

INTRODUCTION The correlation between diabetes and stroke has been studied extensively in epidemiological research. Here we used bibliometric software to visualize and analyze the literature related to diabetic stroke to provide an overview of the current state of research, hot spots, and future trends in the field. METHODS Based on the Web of Science Core Collection(WoSCC) database, we collected studies related to diabetic stroke from 2007 to May 2022. We used CiteSpace (version 6.1.R5), VOSviewer, and Sci-mago Graphica to create knowledge maps and conduct visual analyses on authors, countries, in-stitutions, cited references, and keywords, and Origin for statistical analysis. RESULTS We included a total of 5171 papers on diabetic stroke from the WoSCC database. Overall, there was a steady increase in the number of publications, with a high number of emerging scientists. The United States was the most productive and influential country, which dominated national col-laborations. The most common subject category was "neurology". In total, 12 major clusters were generated from the cited references. Keywords analysis showed that keywords related to post-stroke injury and treatment are those with the highest burst intensity and latest burst time. CONCLUSIONS Individual disease treatment remains a hot topic and how to balance acute stroke treatment and glycemic control is currently a difficult clinical problem. At the same time, the mechanism of their interaction and the prevention and treatment of related causative factors remain a hot topic of current and future research.

中文翻译:

糖尿病与中风之间关系的知识图谱:文献计量分析研究。

引言 糖尿病和中风之间的相关性已在流行病学研究中得到广泛研究。在这里,我们使用文献计量软件对糖尿病脑卒中相关文献进行可视化和分析,以概述该领域的研究现状、热点和未来趋势。方法基于Web of Science核心合集(WoSCC)数据库,收集2007年至2022年5月与糖尿病脑卒中相关的研究,使用CiteSpace(版本6.1.R5)、VOSviewer和Sci-mago Graphica创建知识图谱并进行对作者、国家、机构、引用的参考文献和关键词以及统计分析来源进行可视化分析。结果 我们从 WoSCC 数据库中总共纳入了 5171 篇有关糖尿病卒中的论文。总体而言,出版物数量稳步增长,新兴科学家数量众多。美国是最具生产力和影响力的国家,主导着国家合作。最常见的学科类别是“神经病学”。总共,从引用的参考文献中生成了 12 个主要集群。关键词分析显示,与脑卒中后损伤及治疗相关的关键词是爆发强度最高、爆发时间最晚的关键词。结论个体疾病治疗仍然是热点话题,如何平衡急性脑卒中治疗和血糖控制是目前临床难题。同时,它们之间的相互作用机制以及相关致病因素的防治仍然是当前和未来研究的热点。
更新日期:2023-09-18
down
wechat
bug