Bibliometric analysis of research trends and hotspots on robot-assisted thyroid surgery

Abstract

Background: Thyroid surgery involves the partial or complete removal of the thyroid gland and is a frequently performed surgical procedure. The adoption of robots, equipped with flexible and stable operating systems, has garnered acceptance among numerous surgeons for their capability to enable precise anatomical dissection in thyroid surgery. To gain a comprehensive insight into the present research landscape of robot-assisted thyroid surgery, this paper endeavored to conduct a thorough analysis of the field through bibliometric analysis. Methods: Relevant literature pertaining to robot-assisted thyroid surgery was retrieved from the Web of Science Core Collection (WOSCC) database, spanning from the inception of WOSCC to October 17, 2022. Visual analyses of publication quantity, distribution across countries/regions, institutions/organizations, authorship, journals, references, and keywords were conducted using Microsoft Excel, the bibliometrix package in R, Citescape, and VOSviewer software. Results: A total of 505 articles from 406 institutions in 36 countries/regions were included. South Korea emerged with highest number of publications. Notably, Professor CHUNG WY from Yonsei University in South Korea and the journal “Surg Endosc” stood out with the most publications. The current research landscape indicated significant interest in endoscopic thyroidectomy, surgical procedures, and the axillary approach. In addition, transoral robotic thyroidectomy (TROT), and learning curve (LC) were recognized as research frontiers, representing potential future hotspots in this field. Conclusion: This study marks the first bibliometric analysis of the literature on robot-assisted thyroid surgery. The results highlight endoscopic thyroidectomy, surgical procedures, and the axillary approach as current research hotspots, with TROT and LC identified as potential future research hotspots.