Patient satisfaction following robotic unicompartmental knee arthroplasty: A systematic review and meta-analysis

Abstract

BACKGROUND: Unicompartmental knee arthroplasty (UKA) is a viable alternative to total knee arthroplasty (TKA) for osteoarthritis patients with single-compartment involvement, with advantages including accelerated recovery, reduced pain, and improved function. Robotic-assisted UKA (rUKA) is a promising development that ensures precise implant positioning and limb alignment. However, concerns about complications remain. OBJECTIVE: This study looks at patient satisfaction as a key metric for determining the efficacy of rUKA versus manual UKA (mUKA). METHODS: The search strategy for this study followed PRISMA. Using precise keywords, PubMed, Scopus, Web of Science, and the Cochrane library were searched. English articles were searched until August 2, 2023. Selection criteria included mUKA and rUKA patient satisfaction studies. The NOS scale evaluated study quality. Meta-analysis was done with R and heterogeneity analysis. RESULTS: This systematic review examined 5 studies with 1060 UKAs (532 robotic-assisted and 528 manual). Variable satisfaction assessment methods were used. Three studies found no difference in patient satisfaction after robotic-assisted UKA, but two found a higher satisfaction. Meta-analysis showed robotic-assisted UKA improved patient satisfaction (OR = 1.72 [1.25–2.37]). Overall, most studies showed low risk of bias, except one with higher bias. CONCLUSION: This review suggests that robotic assistance may enhance patient satisfaction in UKA procedures.