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机器人辅助关节置换术中被引用次数最多的论文的特征与趋势

Characteristics and trends of the most cited papers in robotic assisted arthroplasty.

作者信息

Mahmoud Rami H, Lizardi Juan J, Weinerman Jonathan, Vanden Berge Dennis J, Constantinescu David S, Yakkanti Ramakanth

机构信息

The University of Miami Leonard M. Miller School of Medicine, Department of Education, United States.

University of Miami Hospital, Department of Orthopaedic Surgery, United States.

出版信息

J Orthop. 2022 Aug 12;34:40-48. doi: 10.1016/j.jor.2022.07.025. eCollection 2022 Nov-Dec.

Abstract

PURPOSE

To compile and analyze the top 50 most frequently cited articles published on robotic-assisted arthroplasty, allowing clinicians to effectively identify the most influential literature pertaining to this topic.

METHODS

Guidelines set by the Preferred Reporting Items for Systematic Reviews were used as the foundation for data collection and analysis. All papers pertaining to robotic-assisted arthroplasty were retrieved using the Scopus database. Data including: manuscript title, authors, total citation count, level of evidence, journal, publication year, and country of publication was extracted from a final list of articles.

RESULTS

The top 50 publications regarding robotic assisted arthroplasty were cited a total of 4530 times (including self-citations), with an average total of 91. The years with the most publications in the top 50 were: 2017, 2018, and 2019, producing 7, 6, and 5 papers, respectively. Only 4 papers in the top 50 were published prior to the year 2003. The most common level of evidence was level V, and the most common category was Clinical Outcomes (74%). The United States contributed half of the 50 articles, and Princess Grace Hospital and University of London were the most contributory institutions, each with 6 of the top 50 articles.

CONCLUSION

This analysis provides a comprehensive review of the most cited and influential papers in robotic-assisted arthroplasty. Understanding these trends in the literature will ultimately pave the way for physicians and researchers to continue to innovate and research in a targeted manner as they gain an understanding of what has been studied and what remains inadequately explored.

LEVEL OF EVIDENCE

摘要

目的

汇编并分析机器人辅助关节置换术领域被引用次数最多的前50篇文章,以便临床医生能够有效地识别与该主题相关的最具影响力的文献。

方法

以系统评价的首选报告项目所设定的指南作为数据收集和分析的基础。使用Scopus数据库检索所有与机器人辅助关节置换术相关的论文。从最终的文章列表中提取数据,包括:稿件标题、作者、总被引用次数、证据级别、期刊、出版年份和出版国家。

结果

关于机器人辅助关节置换术的前50篇出版物总共被引用了4530次(包括自引),平均每篇91次。前50篇中发表文章最多的年份是:2017年、2018年和2019年,分别有7篇、6篇和5篇论文。前50篇中只有4篇论文发表于2003年之前。最常见的证据级别是V级,最常见的类别是临床结果(74%)。美国贡献了50篇文章中的一半,格蕾丝公主医院和伦敦大学是贡献最大的机构,各有6篇文章进入前50。

结论

本分析全面回顾了机器人辅助关节置换术中被引用最多且最具影响力的论文。了解这些文献趋势最终将为医生和研究人员在了解已研究内容和仍未充分探索的内容后,继续有针对性地进行创新和研究铺平道路。

证据级别

3级。

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本文引用的文献

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