Computational protocol: The impact of generalized joint laxity on clinical outcomes of total knee arthroplasty

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Protocol publication

[…] Sample size calculation was performed to detect a significant difference in WOMAC score, which has been widely used for evaluation of clinical outcomes of TKA [, ]. The sample size calculation was based on WOMAC scores observed in a pilot study conducted at the author’s hospital that included 20 patients. A sample size of 53 patients in each group was required for a power of 80% at a type I error level of 0.05 and for an expected dropout rate of 20%. Post hoc power analysis for detecting differences in the measurement outcomes between the two groups was conducted with a significance level of 0.05 and an effect size of 0.3. There were 50 knees in each group; therefore, the power of this study was estimated to be 87.5% in the power analysis. The statistical software G*Power (Erdfelder, Faul, Buchner & Lang Behavior Research Methods, Instruments & Computers, Germany, 2014) was used for power analyses. Student’s t tests were used to compare the means of the variables of Group A (none to moderate laxity group) and Group B (severe laxity group). ANOVA was also used to compare the means of the variables among six groups with generalized joint laxity scores from 0 to 5. Statistical analyses were performed using SPSS software for Windows (Version 20.0, SPSS, Chicago, IL), and p values <0.05 were considered significant. […]

Pipeline specifications

Software tools G*Power, SPSS
Application Miscellaneous
Organisms Homo sapiens
Chemicals Polyethylene