Boddu Sayi P, Moore M Lane, Rodgers Bryeson M, Brinkman Joseph C, Verhey Jens T, Bingham Joshua S
Mayo Clinic Alix School of Medicine, Scottsdale, AZ, USA.
Mayo Clinic Department of Orthopedic Surgery, Phoenix, AZ, USA.
Arthroplast Today. 2023 Jun 13;22:101153. doi: 10.1016/j.artd.2023.101153. eCollection 2023 Aug.
BACKGROUND: The use of robotics in arthroplasty surgery has increased substantially in recent years. The purpose of this study was to objectively identify the 100 most influential studies in the robotic arthroplasty literature and to conduct a bibliometric analysis of these studies to describe their key characteristics. METHODS: The Clarivate Analytics Web of Knowledge database was used to gather data and metrics for robotic arthroplasty research using Boolean queries. The search list was sorted in descending order by the number of citations, and articles were included or excluded based on clinical relevance to robotic arthroplasty. RESULTS: The top 100 studies were cited a total of 5770 times from 1997 to 2021, with rapid growth in both citation generation and the number of articles published occurring in the past 5 years. The top 100 robotic arthroplasty articles originated from 12 countries, with the United States being responsible for almost half of the top 100. The most common study types were comparative studies (36) followed by case series (20), and the most common levels of evidence were III (23) and IV (33). CONCLUSIONS: Research on robotic arthroplasty is rapidly growing and originates from a wide variety of countries, academic institutions, and with significant industry influence. This article serves as a reference to direct orthopaedic practitioners to the 100 most influential studies in robotic arthroplasty. We hope that these 100 studies and the analysis we provide aid healthcare professionals in efficiently assessing consensus, trends, and needs within the field.
背景:近年来,机器人技术在关节置换手术中的应用显著增加。本研究的目的是客观地确定机器人关节置换文献中最具影响力的100项研究,并对这些研究进行文献计量分析,以描述其关键特征。 方法:使用科睿唯安的Web of Knowledge数据库,通过布尔查询收集机器人关节置换研究的数据和指标。搜索列表按引用次数降序排列,根据与机器人关节置换的临床相关性纳入或排除文章。 结果:从1997年到2021年,排名前100的研究共被引用5770次,在过去5年中,引用量和发表文章数量均快速增长。排名前100的机器人关节置换文章来自12个国家,其中美国占了近一半。最常见的研究类型是比较研究(36项),其次是病例系列研究(20项),最常见的证据水平是III级(23项)和IV级(33项)。 结论:机器人关节置换研究正在迅速发展,其起源于多个国家、学术机构,且受到行业的重大影响。本文为骨科医生提供了一份参考,指向机器人关节置换领域最具影响力的100项研究。我们希望这100项研究以及我们提供的分析能够帮助医疗保健专业人员有效地评估该领域的共识、趋势和需求。
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