Li Jianlin, You Jianhang, Li Zaipu, Zang Jing, Wu Lin, Zhao Tao
School of Clinical Medicine, Shandong Second Medical University, Weifang, Shandong Province, China.
School of Clinical Medicine, Jining Medical University, Jining, Shandong Province, China.
Medicine (Baltimore). 2025 Feb 14;104(7):e41537. doi: 10.1097/MD.0000000000041537.
Parkinson's disease (PD) is a common neurodegenerative disorder marked by motor impairments such as stiffness, involuntary shaking, and slowed movement. In addition, PD patients frequently experience nonmotor symptoms, especially depression. This study uses a mixed-methods scientometric analysis to review global research trends and advancements in PD and depression. This analysis is vital for clinicians, researchers, and policymakers, identifying knowledge gaps and directing future research efforts.
We conducted a comprehensive literature review on PD and depression using the Web of Science database from 2004 to 2023, facilitated by CiteSpace 6.1.R6. Our analysis examined collaborations among authors, institutions, countries, and keywords, incorporating insights from RCTs and qualitative studies. We calculated effect sizes and confidence intervals with precision. Ethical approval was not required as the study used publicly available data without personal information.
Our analysis included 3048 research papers and 915 reviews, involving 17,927 authors and 12,466 institutions. The United States and the University of Toronto led in publications. Studies revealed significant effect sizes with narrow confidence intervals, particularly on the prevalence and impact of depression in PD patients. High-frequency keywords included "Parkinson's disease," "depression," "quality of life," "non-motor symptom," and "dementia." Visual mapping identified critical research nodes and future directions.
Over the past 2 decades, research on the PD-depression link has accelerated. Our analysis highlights prevailing trends and critical areas, providing evidence-based recommendations for therapeutic strategies. This study offers valuable insights for clinicians and researchers, emphasizing future research priorities to improve patient outcomes.
帕金森病(PD)是一种常见的神经退行性疾病,其特征为运动障碍,如僵硬、不由自主的颤抖和运动迟缓。此外,帕金森病患者经常出现非运动症状,尤其是抑郁症。本研究采用混合方法的科学计量分析来回顾帕金森病和抑郁症的全球研究趋势及进展。这种分析对临床医生、研究人员和政策制定者至关重要,有助于识别知识空白并指导未来的研究工作。
我们利用CiteSpace 6.1.R6软件,在2004年至2023年期间通过Web of Science数据库对帕金森病和抑郁症进行了全面的文献综述。我们的分析考察了作者、机构、国家和关键词之间的合作情况,并纳入了随机对照试验和定性研究的见解。我们精确计算了效应量和置信区间。由于本研究使用的是公开可用数据且不涉及个人信息,因此无需伦理批准。
我们的分析纳入了3048篇研究论文和915篇综述,涉及17927名作者和12466个机构。美国和多伦多大学在出版物数量上领先。研究显示出显著的效应量且置信区间较窄,特别是在帕金森病患者抑郁症的患病率和影响方面。高频关键词包括“帕金森病”“抑郁症”“生活质量”“非运动症状”和“痴呆”。可视化图谱确定了关键研究节点和未来方向。
在过去20年里,关于帕金森病与抑郁症关联的研究加速发展。我们的分析突出了当前的趋势和关键领域,为治疗策略提供了基于证据的建议。本研究为临床医生和研究人员提供了有价值的见解,强调了未来改善患者预后的研究重点。