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妇产科机器人手术的全球研究热点与趋势:基于VOSviewer的文献计量分析

Global research hotspots and trends on robotic surgery in obstetrics and gynecology: a bibliometric analysis based on VOSviewer.

作者信息

Xiao Peichen, Li Lu, Qu Jinfeng, Wang Guangxin

机构信息

Department of Obstetrics and Gynecology, Jinan Central Hospital, Shandong University, Jinan, China.

Innovation Center of Intelligent Diagnosis, Jinan Central Hospital, Shandong University, Jinan, China.

出版信息

Front Surg. 2024 Feb 9;11:1308489. doi: 10.3389/fsurg.2024.1308489. eCollection 2024.

DOI:10.3389/fsurg.2024.1308489
PMID:38404294
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10884115/
Abstract

OBJECTIVE

Over the last two decades, the quantity of papers published in relation to robotic surgery in obstetrics and gynecology has continued to grow globally. However, no bibliometric analysis based on VOSviewer has been performed to evaluate the past and present of global research in the field. In this study, we aimed to analyze the bibliometric characteristics of papers on robotic surgery in obstetrics and gynecology to reveal research hotspots and trends in this field.

METHODS

The Web of Science Core Collection was searched for scientific papers on robotic surgery in obstetrics and gynecology published between January 1, 1998 and December 31, 2023. Bibliometric metadata of each selected paper was extracted for analysis. The results were visualized by VOSviewer (version 1.6.18).

RESULTS

A total of 1,430 papers met the inclusion criteria. The United States had the highest total link strengths and contributed the most papers ( = 793). The Mayo Clinic produced the largest number of papers ( = 85), and Professor Pedro T Ramirez contributed the most papers ( = 36). The number of citations ranged from 0 to 295 with a total sum of 29,103. The published the most relevant papers ( = 252). Keywords were classified into six clusters based on co-occurrence data, of which cluster 1, cluster 4 and cluster 6 had more main keywords with the largest average publication year.

CONCLUSIONS

This is the first VOSviewer-based bibliometric analysis of robotic surgery research in obstetrics and gynecology. The United States was the leading country, and the was the most productive journal in the field. Scientists and institutions from around the world should push their boundaries to bring about deep collaboration. The main research topic has always been the use of robotic surgery in the treatment of gynecologic malignancies. More randomized controlled trials need to be conducted to compare surgical outcomes of robotic surgery with other surgical approaches. Robotic sacrocolpopexy for pelvic organ prolapse has become a new research hotspot, and robotic surgery for sentinel lymph node detection in gynecologic malignancies are more potential directions for future research.

摘要

目的

在过去二十年中,全球范围内发表的与妇产科机器人手术相关的论文数量持续增长。然而,尚未进行基于VOSviewer的文献计量分析来评估该领域全球研究的过去和现状。在本研究中,我们旨在分析妇产科机器人手术论文的文献计量特征,以揭示该领域的研究热点和趋势。

方法

在科学网核心合集数据库中检索1998年1月1日至2023年12月31日期间发表的关于妇产科机器人手术的科学论文。提取每篇入选论文的文献计量元数据进行分析。结果通过VOSviewer(版本1.6.18)进行可视化展示。

结果

共有1430篇论文符合纳入标准。美国的总链接强度最高,发表的论文数量最多(n = 793)。梅奥诊所发表的论文数量最多(n = 85),佩德罗·T·拉米雷斯教授发表的论文数量最多(n = 36)。论文被引次数从0到295不等,总和为29103次。某期刊发表的相关论文数量最多(n = 252)。根据共现数据,关键词被分为六个聚类,其中聚类1、聚类4和聚类6的主要关键词较多,平均发表年份最晚。

结论

这是首次基于VOSviewer对妇产科机器人手术研究进行的文献计量分析。美国是领先国家,某期刊是该领域发表论文最多的期刊。世界各地的科学家和机构应突破界限,实现深度合作。主要研究主题一直是机器人手术在妇科恶性肿瘤治疗中的应用。需要进行更多随机对照试验,以比较机器人手术与其他手术方法的手术效果。用于盆腔器官脱垂的机器人骶骨阴道固定术已成为新的研究热点,妇科恶性肿瘤前哨淋巴结检测的机器人手术是未来更具潜力的研究方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/926b/10884115/f4560f1a5fd0/fsurg-11-1308489-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/926b/10884115/0a194fe5f4e0/fsurg-11-1308489-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/926b/10884115/2624e6dd138b/fsurg-11-1308489-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/926b/10884115/2983f6d27be2/fsurg-11-1308489-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/926b/10884115/addaaafbfd03/fsurg-11-1308489-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/926b/10884115/49282a0b9f5b/fsurg-11-1308489-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/926b/10884115/44f49724cc00/fsurg-11-1308489-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/926b/10884115/2a5710c26540/fsurg-11-1308489-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/926b/10884115/f4560f1a5fd0/fsurg-11-1308489-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/926b/10884115/0a194fe5f4e0/fsurg-11-1308489-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/926b/10884115/2624e6dd138b/fsurg-11-1308489-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/926b/10884115/2983f6d27be2/fsurg-11-1308489-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/926b/10884115/addaaafbfd03/fsurg-11-1308489-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/926b/10884115/49282a0b9f5b/fsurg-11-1308489-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/926b/10884115/44f49724cc00/fsurg-11-1308489-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/926b/10884115/2a5710c26540/fsurg-11-1308489-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/926b/10884115/f4560f1a5fd0/fsurg-11-1308489-g008.jpg

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