Sensor-guided gap balance versus manual gap balance in primary total knee arthroplasty: a meta-analysis

Background Despite Vast improvements in technology and surgical technique in total knee arthroplasty (TKA), approximately 15-25% TKAs, have suboptimal subjective clinical outcomes. Our study sought to evaluate if sensor-guided balancing improves postoperative clinical outcomes compared to a conventional gap balancing technique. Methods We searched Web of Science, Embase, PubMed, Cochrane Controlled Trials Register, Cochrane Library, Highwire, CBM, CNKI, VIP, and Wanfang database in March 2022 to identify studies involving sensor-guided balancing versus conventional gap balancing technique in TKA. Finally, we identified 2147 knees assessed in nine studies. Results Compared with manual gap balancing, Sensor-guided gap balancing resulted in less rate of Manipulation under anesthesia (MUA) (P = 0.02), however more rate of intraoperative additional procedures (P = 0.0003). There were no significant differences in terms of KSS (P = 0.21), KSS Function score (P = 0.36), OKS (P = 0.61), KOOS (P = 0.78), operative time (P = 0.17), Mechanical axis (P = 0.69) and rate of reoperation between two groups. Conclusion Compared with conventional manual gap balancing techniques, sensors have more balancing procedures being performed. However, it did result in a reduction in the rate of MUA. More extensive, high-quality RCTs are required to verify our findings further.

Automated summary

This study compared the clinical outcomes of sensor-guided balancing and conventional gap balancing techniques in total knee arthroplasty (TKA). The findings indicated that while sensor-guided balancing required more balancing procedures, it resulted in a reduction in the rate of manipulation under anesthesia.