This PRISMA-compliant systematic review and meta-analysis of 16 studies compares Stryker MAKO semi-active robotic-arm assisted TKA (RATKA) against manual TKA. It specifically isolates semi-active systems — excluded from most prior meta-analyses — to evaluate component positioning accuracy, patient-reported outcomes, and complications. The central question: does RATKA's precision advantage translate into meaningful clinical benefit?
Prior meta-analyses of robotic TKA pooled semi-active and fully active systems together, obscuring the specific performance profile of MAKO. This review isolates semi-active RATKA to give a cleaner signal on accuracy, learning curve, and safety.
When your program adopts RATKA, expect OR times to normalize within 7–11 cases — but know your component positioning should be accurate from case one. Use this to set realistic expectations for administration and your OR team during the transition period.
The outcome improvements are statistically real but sub-MCID. Do not oversell the functional benefit to patients based on current short-term data. The more important question. Which alignment philosophy (kinematic vs. Mechanical) maximizes the robotic advantage. Remains unanswered because studies did not report it consistently.
Document your alignment and balancing technique on every robotic case. The field cannot advance without this data, and your own series will contribute to answering the question this meta-analysis could not.
This PRISMA-compliant systematic review and meta-analysis of 16 studies compares Stryker MAKO semi-active robotic-arm assisted TKA (RATKA) against manual TKA. It specifically isolates semi-active systems — excluded from most prior meta-analyses — to evaluate component positioning accuracy, patient-reported outcomes, and complications. The central question: does RATKA's precision advantage translate into meaningful clinical benefit?
Prior meta-analyses of robotic TKA pooled semi-active and fully active systems together, obscuring the specific performance profile of MAKO. This review isolates semi-active RATKA to give a cleaner signal on accuracy, learning curve, and safety.
When your program adopts RATKA, expect OR times to normalize within 7–11 cases — but know your component positioning should be accurate from case one. Use this to set realistic expectations for administration and your OR team during the transition period.
The outcome improvements are statistically real but sub-MCID. Do not oversell the functional benefit to patients based on current short-term data. The more important question. Which alignment philosophy (kinematic vs. Mechanical) maximizes the robotic advantage. Remains unanswered because studies did not report it consistently.
Document your alignment and balancing technique on every robotic case. The field cannot advance without this data, and your own series will contribute to answering the question this meta-analysis could not.