Table 1_Research hotspots and future trends of insomnia in Parkinson’s disease: a bibliometric and visualization analysis from 1973 to 2024.docx

Background and objectives: Despite the growing body of research on Parkinson’s disease (PD) and insomnia, comprehensive analysis of overall research trends remains limited. This study aims to evaluate these trends and identify research hot spots using bibliometric analysis.
MethodsPublications on PD and insomnia from 1973 to 2024 were extracted from the Web of Science Core Collection. Analytical tools such as VOSviewer, CiteSpace, and R 4.3.3 were employed for evaluation.
ResultsA total of 610 publications are analyzed, demonstrating a consistent upward trend. The United States leads the field with 150 articles, representing 24.59% of total output, followed by China with 79 publications. Harvard University is the top contributing institution with 44 articles. Movement Disorders ranks as the leading journal, publishing 28 papers (4.59% of the total) and also securing the top spot in total citations. The most prolific author is Lima Marcelo M. S., with 15 publications and 50 recorded collaborations. Burst keyword analysis revealed increasing interest in terms such as “validation,” “index,” and “scale” since 2019.
ConclusionResearch on PD and insomnia exhibits a clear upward trend, reflecting increasing academic interest. Future studies are expected to focus on the validation of diagnostic tools, the development of scales, and the integration of artificial intelligence and personalized medicine for improved treatment precision.

背景与目的：尽管目前针对帕金森病（PD）与失眠的研究成果日益丰富，但针对该领域整体研究趋势的综合分析仍较为匮乏。本研究旨在通过文献计量分析，评估该领域的研究态势并识别研究热点。
研究方法：从1973年至2024年的Web of Science核心合集中，提取PD与失眠相关的文献，采用VOSviewer、CiteSpace及R 4.3.3等分析工具开展评估。
研究结果：本研究共分析610篇文献，整体呈现持续上升的发展趋势。美国以150篇文献位居首位，占总发文量的24.59%，其次为中国（79篇）。哈佛大学是发文量最高的机构，共发表44篇文献。《Movement Disorders》（《运动障碍》）为该领域顶级期刊，累计发表28篇论文（占总发文量的4.59%），同时其总被引频次也位列第一。发文量最多的作者为Lima Marcelo M. S.，共发表15篇文献，合作频次达50次。突现关键词分析显示，自2019年以来，“效度验证（validation）”“指标（index）”“量表（scale）”等相关主题的研究热度持续攀升。
结论：PD与失眠相关研究呈现显著的上升态势，反映出学术界对该领域的关注度不断提升。未来研究有望聚焦于诊断工具的效度验证、量表开发，以及人工智能（artificial intelligence）与个性化医学的融合，以提升治疗精准性。