Zhang Xianfa, Wang Jing
Department of Orthopedics, Wenshang People's Hospital, Wenshang, Ji'ning, 272501, Shandong, China.
J Robot Surg. 2025 Apr 11;19(1):146. doi: 10.1007/s11701-025-02331-3.
With the increasing integration of robotic technology into medical practice, robotic-assisted arthroplasty (RAA) has emerged as a significant research focus. This study employs CiteSpace, a bibliometric analysis tool, to systematically examine the current state and future directions of RAA research on a global scale. By retrieving relevant literature from the Web of Science Core Collection database spanning from 1997 to 2024, a total of 229 articles were identified for analysis. The findings indicate a steady rise in the number of publications within this field. China, the United States, and South Korea are the leading contributors, with the Chinese People's Liberation Army General Hospital being the most prolific institution. Keyword clustering analysis reveals that key research areas include total hip arthroplasty, Markov decision analysis, total knee arthroplasty, robotic-assisted total knee arthroplasty, diverse assistive techniques, patient-reported outcome differences, robot-assisted total hip arthroplasty, and learning curves. Emerging trends are primarily centered around system development, navigation technologies, manual implantation methods, functional outcomes, and ossification processes.
随着机器人技术日益融入医学实践，机器人辅助关节置换术（RAA）已成为一个重要的研究焦点。本研究采用文献计量分析工具CiteSpace，在全球范围内系统地审视RAA研究的现状和未来方向。通过从1997年至2024年的科学网核心合集数据库中检索相关文献，共识别出229篇文章进行分析。研究结果表明该领域的出版物数量稳步上升。中国、美国和韩国是主要贡献国，中国人民解放军总医院是发文量最多的机构。关键词聚类分析显示，关键研究领域包括全髋关节置换术、马尔可夫决策分析、全膝关节置换术、机器人辅助全膝关节置换术、多种辅助技术、患者报告的结局差异、机器人辅助全髋关节置换术以及学习曲线。新兴趋势主要集中在系统开发、导航技术、手动植入方法、功能结局和骨化过程。
