轻度认知障碍的前沿与热点演变:2013年至2023年的文献计量分析

Frontiers and hotspots evolution in mild cognitive impairment: a bibliometric analysis of from 2013 to 2023.

作者信息

He Chunying, Hu Xiaohua, Wang Muren, Yin Xiaolan, Zhan Min, Li Yutong, Sun Linjuan, Du Yida, Chen Zhiyan, Wang Huan, Shao Haibin

机构信息

Department of Neurology, China Academy of Chinese Medical Sciences Xiyuan Hospital, Beijing, China.

Graduate School, China Academy of Chinese Medical Sciences, Beijing, China.

出版信息

Front Neurosci. 2024 Aug 16;18:1352129. doi: 10.3389/fnins.2024.1352129. eCollection 2024.

Abstract

BACKGROUND

Mild cognitive impairment is a heterogeneous syndrome. The heterogeneity of the syndrome and the absence of consensus limited the advancement of MCI. The purpose of our research is to create a visual framework of the last decade, highlight the hotspots of current research, and forecast the most fruitful avenues for future MCI research.

METHODS

We collected all the MCI-related literature published between 1 January 2013, and 24 April 2023, on the "Web of Science." The visual graph was created by the CiteSpace and VOSviewer. The current research hotspots and future research directions are summarized through the analysis of keywords and co-cited literature.

RESULTS

There are 6,075 articles were included in the final analysis. The number of publications shows an upward trend, especially after 2018. The United States and the University of California System are the most prolific countries and institutions, respectively. Petersen is the author who ranks first in terms of publication volume and influence. Journal of Alzheimer's Disease was the most productive journal. "neuroimaging," "fluid markers," and "predictors" are the focus of current research, and "machine learning," "electroencephalogram," "deep learning," and "blood biomarkers" are potential research directions in the future.

CONCLUSION

The cognition of MCI has been continuously evolved and renewed by multiple countries' joint efforts in the past decade. Hotspots for current research are on diagnostic biomarkers, such as fluid markers, neuroimaging, and so on. Future hotspots might be focused on the best prognostic and diagnostic models generated by machine learning and large-scale screening tools such as EEG and blood biomarkers.

摘要

背景

轻度认知障碍是一种异质性综合征。该综合征的异质性以及缺乏共识限制了轻度认知障碍研究的进展。我们研究的目的是创建一个过去十年的可视化框架,突出当前研究的热点,并预测未来轻度认知障碍研究最有成效的途径。

方法

我们在“科学网”上收集了2013年1月1日至2023年4月24日期间发表的所有与轻度认知障碍相关的文献。通过CiteSpace和VOSviewer创建可视化图表。通过对关键词和共被引文献的分析总结当前的研究热点和未来的研究方向。

结果

最终分析纳入了6075篇文章。发表数量呈上升趋势,特别是在2018年之后。美国和加利福尼亚大学系统分别是发文量最多的国家和机构。彼得森是发文量和影响力排名第一的作者。《阿尔茨海默病杂志》是发文量最多的期刊。“神经影像学”“体液标志物”和“预测因子”是当前研究的重点,“机器学习”“脑电图”“深度学习”和“血液生物标志物”是未来潜在的研究方向。

结论

在过去十年中,通过多个国家的共同努力,对轻度认知障碍的认识不断演变和更新。当前研究的热点在于诊断生物标志物,如体液标志物、神经影像学等。未来的热点可能集中在由机器学习生成的最佳预后和诊断模型以及脑电图和血液生物标志物等大规模筛查工具上。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b536/11361971/65191c7b05e7/fnins-18-1352129-g001.jpg

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