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妇科肿瘤学中机器人手术的全球研究格局:文献计量分析(2005 - 2025年)

Global research landscape of robotic surgery in gynecologic oncology: a bibliometric analysis (2005-2025).

作者信息

Li Xinshu, Li Min, Cui Huijie, Du Xinyue, Li Bowei, Ha Chunfang

机构信息

Ningxia Medical University, Yinchuan, 750004, Ningxia, China.

Department of Gynecology, General Hospital of Ningxia Medical University, Yinchuan, 750004, Ningxia, China.

出版信息

J Robot Surg. 2025 Sep 28;19(1):641. doi: 10.1007/s11701-025-02798-0.

Abstract

Robotic surgery has transformed gynecologic oncology by enhancing surgical precision and reducing complications, particularly for endometrial, cervical, and ovarian cancers. This study employs bibliometric analysis to systematically evaluate the scientific trajectory, research trends, and international collaboration in robotic surgery for gynecologic malignancies over nearly two decades (2005-2025). Using the Web of Science database, a total of 561 publications were identified and analyzed with Citespace, VOSviewer, and R-bibliometrix. The United States emerged as the most productive nation, with the Università Cattolica del Sacro Cuore (Italy) as the leading institution. The Journal of Gynecologic Oncology published the highest volume of research, and Giovanni Scambia was the most prolific author. Key research themes included endometrial cancer, robotic surgery, laparoscopy, lymphadenectomy, radical hysterectomy, cervical cancer, recurrence, and survival outcomes. Future progress depends on multicenter randomized-controlled trials (RCTs), global partnerships, and AI integration to advance therapeutic potential and promote equitable global access.

摘要

机器人手术通过提高手术精度和减少并发症,改变了妇科肿瘤学,特别是对于子宫内膜癌、宫颈癌和卵巢癌。本研究采用文献计量分析方法,系统评估近二十年来(2005 - 2025年)妇科恶性肿瘤机器人手术的科学轨迹、研究趋势和国际合作情况。利用科学网数据库,共识别出561篇出版物,并使用Citespace、VOSviewer和R - bibliometrix进行分析。美国是产出最多的国家,意大利的圣心天主教大学是领先机构。《妇科肿瘤学杂志》发表的研究数量最多,乔瓦尼·斯坎比亚是最多产的作者。关键研究主题包括子宫内膜癌、机器人手术、腹腔镜检查、淋巴结清扫术、根治性子宫切除术、宫颈癌、复发和生存结果。未来的进展取决于多中心随机对照试验(RCT)、全球合作以及人工智能整合,以提高治疗潜力并促进全球公平获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/783d/12477092/2a64dd07b39e/11701_2025_2798_Fig1_HTML.jpg

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