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- Talk
- 15/09/2021
- Canada
Simulation-Based Power Analysis of Survival Studies Comparing Conventional, Navigated, and Robotic Assisted Total Knee Arthroplasty
Description
The presentation delivered by Bassam Masri focuses on a mathematical simulation study aimed at assessing the necessary statistical power for determining differences in revision rates between conventional and robotic-assisted total knee replacements. Throughout the talk, Masri expresses gratitude to colleagues and graduate student Matt Hickey while discussing the implications of mechanical alignment in knee replacements, highlighting the risks associated with alignment outliers that may lead to higher revision rates.
He introduces robotic and navigated knee procedures as solutions designed to enhance the precision of implant alignments, yet notes that outcome studies show that revision rates remain largely unchanged despite their use. The crux of the study involves two key questions about the power requirements for clinical studies assessing technology-assisted knee replacements and whether existing studies currently possess adequate power to detect meaningful differences.
Masri further explains the methodological approach taken in the simulation, which involves modeling patient survival probabilities as a Gaussian survival function, incorporating both patient-specific and surgeon-controllable factors that can influence outcomes. By calculating specific life factors related to characteristics such as age and BMI, the study aims to generate robust comparison groups for further analysis.
The results of the simulation suggest that achieving adequate statistical power for long-term studies, particularly those with extended follow-ups, may be impractical due to the large sample sizes required. The presentation concludes with recommendations for focused clinical trials that investigate the effectiveness of technology-assisted procedures in high-risk patients, where the potential for a greater effect size appears promising, despite the overall limitations identified in the study.