Global research trends on subtypes of Parkinson's disease: A visual bibliometric analysis

Archives of Gerontology and Geriatrics Plus Pub Date : 2025-05-07 DOI:10.1016/j.aggp.2025.100166

Yan Su , Sheng Cai , Yang Xu , Xianwen Chen

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引用次数: 0

Abstract

Object

Parkinson's disease (PD) is a neurodegenerative disease with different subtypes. More accurate subtype classification is significant for understanding the pathogenesis of PD, predicting disease progression, and selecting effective treatment methods. A bibliometric analysis of relevant research on PD subtypes is presented in this study.

Methods

Original research and review articles related to PD subtypes from January 1, 2015 to December 31, 2024 were retrieved from the Web of Science Core Collection (WOSCC) database. After screening, 2213 articles were obtained. Statistical analysis and visualization of country, institution, author, journal, and keyword information contained in the studies were performed using CiteSpace (v6.2. R4) and VOSviewer (v1.6.20.0) software to identify research hotspots and trends in the field.

Result

The 2213 articles used in this study were from 11740 authors from 3117 institutions in 93 countries and published in 481 journals. From the analysis, it was found that the number of annual publications in this field has been increasing year by year in the past 10 years. The United States contributed the most to this research direction, with the largest number of publications (604) and citations (31, 284), and the strongest connection with other countries. 'Motor disorder ' is the most frequently cited journal, and ' Parkinson 's disease-related disorder ' is the most frequently published journal. "Parkinson's Disease", "Dementia", "Subtypes", and "Progress" are frequently used keywords, while "Rem sleep", "networs", and "machine learning" are the focus of research in recent years.

Conclusion

The bibliometric analysis offers a comprehensive insight into present research focal points and evolving patterns associated with PD subtypes. High-frequency keywords pinpointed underscore dynamic research fields encompassing methodologies, mechanisms, and engaged populations. These findings can provide guidance for future research on PD subtypes.

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帕金森氏病亚型的全球研究趋势：视觉文献计量分析

目的帕金森病（PD）是一种具有不同亚型的神经退行性疾病。更准确的亚型分类对于了解PD的发病机制，预测疾病进展，选择有效的治疗方法具有重要意义。本文对PD亚型的相关研究进行文献计量学分析。方法从Web of Science Core Collection （WOSCC）数据库中检索2015年1月1日至2024年12月31日与PD亚型相关的原始研究和综述文章。经筛选，得到2213篇。使用CiteSpace （v6.2）对研究中包含的国家、机构、作者、期刊和关键字信息进行统计分析和可视化。R4)和VOSviewer （v1.6.20.0）软件，识别该领域的研究热点和趋势。结果本研究共纳入来自93个国家3117个机构的11740位作者的2213篇文献，发表于481种期刊。通过分析发现，近10年来，该领域的年度出版物数量逐年增加。美国对这一研究方向的贡献最大，发表论文604篇，被引用次数31,284次，与其他国家联系最紧密。“运动障碍”是最常被引用的期刊，“帕金森病相关障碍”是最常发表的期刊。“帕金森病”、“痴呆”、“亚型”、“进展”是频繁使用的关键词，而“Rem睡眠”、“网络”、“机器学习”是近年来的研究热点。结论文献计量学分析提供了对当前研究重点和PD亚型相关演变模式的全面洞察。精确的高频关键词强调了包括方法、机制和参与人群在内的动态研究领域。这些发现可以为今后PD亚型的研究提供指导。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Archives of Gerontology and Geriatrics Plus

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