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从黑夜到光明:帕金森病睡眠障碍全球研究轨迹的文献计量分析

From Night to Light: A Bibliometric Analysis of the Global Research Trajectory of Sleep Disorders in Parkinson's Disease.

作者信息

Shi Luya, Zhao Xinxin, Wu Jing, He Caidi

机构信息

Department of Nursing, Municipal Hospital Affiliated to Taizhou University, Taizhou, Zhejiang, 318000, People's Republic of China.

Department of Post Graduate School of Nursing, Sehan University, Yeonggam, 58447, South Korea.

出版信息

J Multidiscip Healthc. 2025 Jan 30;18:473-492. doi: 10.2147/JMDH.S503849. eCollection 2025.

Abstract

PURPOSE

Sleep disorders are prevalent non-motor symptoms in patients with Parkinson's disease (PD), significantly diminishing the overall quality of life for patients and potentially accelerating the deterioration of motor and cognitive functions, accelerating disease progression. Despite increasing research on sleep disorders in PD, a comprehensive analysis of the knowledge structure and key issues in this field are still lacking. This study aims to identify research hotspots and emerging trends related to sleep disorders in PD through a detailed bibliometric analysis.

PATIENTS AND METHODS

On October 1, 2024, an extensive search was conducted in the Web of Science Core Collection (WOSCC) database to gather relevant literature on sleep disorders in PD. Bibliometric and knowledge mapping analyses were performed using CiteSpace, VOSviewer, and bibliometrix.

RESULTS

Between January 1, 2004, and October 1, 2024, a total of 3,655 publications on sleep disorders in PD were published by 3,387 institutions across 87 countries. The volume of publications has shown a steady increase, a trend projected to continue. Current research is primarily centered on Neurosciences, Pharmacology, and Clinical Neurology. Emerging trends involve comprehensive evaluations of sleep, early diagnosis and prevention of various sleep disorder subtypes in PD, and advancing research through animal models to develop effective therapies. Emerging keywords include machine learning, sleep quality, biomarkers, covid-19, and mouse model.

CONCLUSION

This bibliometric analysis sheds light on the global landscape of PD-related sleep disorder research over the past two decades, highlighting key countries, institutions, authors, and journals driving advancements in the field. Moreover, it uncovers pivotal research hotspots and emerging trends, offering valuable insights and guidance for scholars engaged in this area.

摘要

目的

睡眠障碍是帕金森病(PD)患者中普遍存在的非运动症状,显著降低了患者的整体生活质量,并可能加速运动和认知功能的衰退,加快疾病进展。尽管对PD睡眠障碍的研究不断增加,但该领域的知识结构和关键问题仍缺乏全面分析。本研究旨在通过详细的文献计量分析确定与PD睡眠障碍相关的研究热点和新趋势。

患者与方法

2024年10月1日,在科学网核心合集(WOSCC)数据库中进行了广泛检索,以收集有关PD睡眠障碍的相关文献。使用CiteSpace、VOSviewer和bibliometrix进行文献计量和知识图谱分析。

结果

在2004年1月1日至2024年10月1日期间,来自87个国家的3387个机构共发表了3655篇关于PD睡眠障碍的出版物。出版物数量呈稳步增长趋势,预计将持续。当前研究主要集中在神经科学、药理学和临床神经病学领域。新趋势包括对睡眠的综合评估、PD中各种睡眠障碍亚型的早期诊断和预防,以及通过动物模型推进研究以开发有效疗法。新出现的关键词包括机器学习、睡眠质量、生物标志物、新冠疫情和小鼠模型。

结论

这项文献计量分析揭示了过去二十年中与PD相关睡眠障碍研究的全球格局,突出了推动该领域进展的关键国家、机构、作者和期刊。此外,它还揭示了关键的研究热点和新趋势,为从事该领域的学者提供了有价值的见解和指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0222/11789777/35ba146f994a/JMDH-18-473-g0001.jpg

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