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机器人骨科手术的临床应用:文献计量研究。

Clinical application of robotic orthopedic surgery: a bibliometric study.

机构信息

Department of Orthopaedic Surgery, Beijing Jishuitan Hospital, Fourth Clinical College of Peking University, Beijing, P.R. China.

Center for Musculoskeletal Surgery (CMSC), Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.

出版信息

BMC Musculoskelet Disord. 2021 Nov 22;22(1):968. doi: 10.1186/s12891-021-04714-7.

Abstract

OBJECTIVES

The present study aimed to evaluate the status and trends of robotic orthopedic surgery in a clinical setting using bibliometrics.

METHODS

All relevant publications on the clinical use of robotic surgery in orthopedics were searched from the Web of Science database. Subsequently, data were analyzed using bibliometrics. Visualizing data of bibliographic coupling, co-citation, and co-occurrence analysis were performed using VOSviewer.

RESULTS

In total, 224 clinical studies met the included standards between 2000 to 2019. Global publications presented an increasing annual trend, with the United States found to have the largest number of publications and robotic companies active in the field (n = 99), followed by China (n = 38), and the United Kingdom (n = 27). The institution with the most contributions was the Beijing Jishuitan Hospital in China (n = 15). The most productive scholars were Tian Wei and Mont Michael A, with 14 publications each. The top 30 most cited papers list showed 29 publications to be cited on more than 40 occassions. The journal with the most related and influential publications on robotic orthopedic surgery was the Journal of Arthroplasty. Fourteen types of robots were used, with the majority applied in knee and spinal surgery. MAKO was the most widely used robot in hip and knee surgery and Mazor in spinal surgery. Most studies were small sample populations of low-quality in this field. The top 20 most frequently used keywords were identified from 950 author keywords. Research on orthopedic robots were classified into two clusters by co-occurrence networks: spinal-related robotic surgery and joint-related robotic surgery.

CONCLUSIONS

The present bibliometric study summarizes the clinical research of orthopedic robots on study type, sample size, type of surgery, robot information, surgical site, most popular keywords, most cited papers, journals, authors, institutions, and countries. These findings may assist the scholars better understand the current status and research trends to guide future practice and directions.

摘要

目的

本研究旨在使用文献计量学评估临床环境中机器人骨科手术的现状和趋势。

方法

从 Web of Science 数据库中检索所有关于骨科机器人手术临床应用的相关文献。随后,使用文献计量学对数据进行分析。使用 VOSviewer 进行书目耦合、共引和共词分析的数据可视化。

结果

共纳入 2000 年至 2019 年 224 项符合标准的临床研究。全球出版物呈逐年递增趋势,其中美国发表的文献数量最多(n=99),机器人公司也最为活跃,其次是中国(n=38)和英国(n=27)。发表文献数量最多的机构是中国北京积水潭医院(n=15)。发文量最多的学者是 Tian Wei 和 Mont Michael A,各有 14 篇文献。引用频次最高的前 30 篇论文中有 29 篇的引用次数超过 40 次。发表机器人骨科手术相关文献最多且最具影响力的期刊是《关节置换术杂志》。共使用了 14 种机器人,其中大多数应用于膝关节和脊柱手术。MAKO 是髋关节和膝关节手术中应用最广泛的机器人,Mazor 是脊柱手术中应用最广泛的机器人。该领域的大多数研究都是小样本、低质量的。通过共词网络分析,从 950 个作者关键词中确定了前 20 个最常用的关键词。骨科机器人研究分为两个聚类:脊柱相关机器人手术和关节相关机器人手术。

结论

本文献计量学研究总结了骨科机器人在研究类型、样本量、手术类型、机器人信息、手术部位、热门关键词、高被引论文、期刊、作者、机构和国家等方面的临床研究。这些发现可以帮助学者更好地了解当前的研究现状和趋势,从而指导未来的实践和发展方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/921c/8609816/7f0fe67ea0e8/12891_2021_4714_Fig1_HTML.jpg

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