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机器人手术领域被引频次最高的 100 篇原创文章和系统评价/荟萃分析:一项科学计量学研究。

Top 100 most-cited original articles, systematic reviews/meta-analyses in robotic surgery: A scientometric study.

机构信息

Evidence Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, 730000, China; Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China; Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China.

Department of Epidemiology and Health Statistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610044, China.

出版信息

Asian J Surg. 2022 Jan;45(1):8-14. doi: 10.1016/j.asjsur.2021.04.002. Epub 2021 Apr 22.

Abstract

The aim of this study was to explore and analyze the main features of the top 100 most-cited original articles, systematic reviews (SRs)/meta-analyses (MAs) in the field of robotic surgery, through scientometric analysis. VOSviewer and Excel 2019 were employed to conduct this scientometric study. We found that the majority of original articles (72/100) were published during the 2000s, while the majority of the top 100 most-cited SRs/MAs (91/100) during the 2010s. The USA was the most dominant country (n = 78), Henry Ford Health System was the most productive institution (n = 10), and Menon M was the largest contributing first author (n = 5) of the top 100 most-cited original articles. The USA was the most dominant country (n = 33), University of Padua was the most productive institution (n = 9), and Ficarra V was the largest contributing first author (n = 4) of the top 100 most-cited SRs/MAs. The top 100 most-cited original articles in robotic surgery have focused on the feasibility, outcomes and learning curve of robotic surgery for various neoplasms and cancers. The top 100 most-cited SRs/MAs have focused on the differences between robotic surgery and other types of surgery, with respect to the learning curve, costs, outcomes and experience in treating neoplasms, cancer and other diseases. In the future, the formation of cross-institutional and cross-disciplinary cooperation teams should be promoted and corresponding regulations and standards for specific diseases should be developed to regulate and promote the development of robotic surgery.

摘要

本研究旨在通过文献计量学分析,探索和分析机器人手术领域排名前 100 的高被引原始文章和系统评价/荟萃分析的主要特征。使用 VOSviewer 和 Excel 2019 进行了这项文献计量研究。我们发现,大多数原始文章(72/100)发表于 2000 年代,而排名前 100 的高被引系统评价/荟萃分析(91/100)则发表于 2010 年代。美国是最具主导地位的国家(n=78),亨利·福特健康系统是最具生产力的机构(n=10),Menon M 是排名前 100 的高被引原始文章中最大的第一作者(n=5)。美国是最具主导地位的国家(n=33),帕多瓦大学是最具生产力的机构(n=9),Ficarra V 是排名前 100 的高被引系统评价/荟萃分析中最大的第一作者(n=4)。机器人手术领域排名前 100 的高被引原始文章主要集中在机器人手术治疗各种肿瘤和癌症的可行性、结果和学习曲线。排名前 100 的高被引系统评价/荟萃分析主要集中在机器人手术与其他类型手术之间的差异,涉及学习曲线、成本、结果以及治疗肿瘤、癌症和其他疾病的经验。未来,应促进跨机构和跨学科合作团队的形成,并制定针对特定疾病的相应法规和标准,以规范和促进机器人手术的发展。

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