Toward precision and efficiency: a bibliometric study on robotic-assisted unicompartmental knee arthroplasty research and development

Abstract

Aim: With the increasing prevalence of knee diseases affecting human health and quality of life, it is essential to explore more advanced surgical assistive technologies to improve the precision, safety, and success rate of unilateral knee replacement surgery. This study aims to conduct a comprehensive bibliometric analysis of robotic-assisted unicompartmental knee arthroplasty (r-UKA) to understand its current status, trends, and future directions.

Methods: Retrieve articles about r-UKA in the Web of Science Core Collection (WOSCC) database. Data from 128 selected articles, including author information, publication details, citations, and evidence level, were analyzed. Statistical analyses and data visualizations explored publication and citation trends, research interests, core author groups, and cooperative networks.

Results: Interest in r-UKA research has grown, particularly after 2013, which is evident from increased publications and citations. The United States is the largest contributor, followed by the United Kingdom, both of which have prominent medical research institutions and universities actively involved in r-UKA research. Frequent keywords such as “alignment”, “accuracy”, “revision”, and “survivorship” highlight the focus on surgical precision, implant longevity, and patient outcomes.

Conclusion: Robotic-assisted unicompartmental knee arthroplasty has gained significant attention, promising improved surgical precision and patient outcomes. Collaboration between researchers and medical institutions globally has driven progress in this field. However, long-term outcomes and clinical efficacy compared to traditional techniques require further investigation. As robotic technology evolves, its application in knee replacement surgery holds potential for better therapeutic effects and advancements toward more accurate, safe, and efficient procedures, benefiting patients and advancing unicompartmental knee arthroplasty (UKA).

Keywords

Bibliometric analysis / knee / robot-assisted / robotic technology / unicompartmental knee arthroplasty

References

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