Department of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Department of Orthopedics, Clinical Medical College, Yangzhou University, Northern Jiangsu People's Hospital, Yangzhou, China.
Int J Med Robot. 2021 Feb;17(1):1-11. doi: 10.1002/rcs.2170. Epub 2020 Sep 24.
The robotic-assisted unicompartmental knee arthroplasty (UKA) is proposed to improve the accuracy of component positioning.
We conducted a literature search in Medline, Embase, Web of Science and the Cochrane Library until April 2020.
Our meta-analysis included 10 articles, involving 1231 knees. Our meta-analysis demonstrated that the robotic group had significantly better results in outliers of limb alignment (p < 0.001) and outliers of tibial alignment (p < 0.001). No statistical differences were found in the American Knee Society Score (p = 0.63), range of motion (p = 0.93), pain (p = 0.27), rate of revisions (p = 0.73) and rate of complications (p = 0.67).
Robotic-assisted UKA has better component position accuracy compared with conventional UKA. But there was no significant difference in clinical results. In order to further evaluate the utility of robotic-assisted UKA, long-term follow-up randomized controlled trials (RCTs) are needed, as well as studies to evaluate the correlation between postoperative alignment and long-term clinical results.
机器人辅助单髁膝关节置换术(UKA)被认为可以提高组件定位的准确性。
我们在 Medline、Embase、Web of Science 和 Cochrane 图书馆进行了文献检索,检索时间截至 2020 年 4 月。
我们的荟萃分析纳入了 10 篇文章,涉及 1231 例膝关节。我们的荟萃分析表明,在肢体对线(p < 0.001)和胫骨对线(p < 0.001)的离群值方面,机器人组的结果明显更好。美国膝关节协会评分(p = 0.63)、关节活动度(p = 0.93)、疼痛(p = 0.27)、翻修率(p = 0.73)和并发症发生率(p = 0.67)方面无统计学差异。
与传统 UKA 相比,机器人辅助 UKA 具有更好的组件定位准确性。但临床结果无显著差异。为了进一步评估机器人辅助 UKA 的实用性,需要进行长期随访的随机对照试验(RCT),以及研究术后对线与长期临床结果之间的相关性。