Statistical analysis
skeletal muscle mass
REGRESSION, SECONDARY
All data will be analyzed using IBM SPSS Statistics version 28.0.1 (Armonk, New York, USA) and a significance level of 5% will be set with a 95% confidence interval. Patient demographics will be calculated using descriptive statistics. Kolmogorov–Smirnov test will be performed to assess the distribution of data. To compare baselines between the two groups, a student’s t-test and chi-squared test will be conducted. In case the randomization is not balanced, the baseline difference will be corrected through multivariate logistic regression and analyzed. To compare the mean difference, if the primary outcome (skeletal muscle mass) data in both groups are found to be normally distributed, we will perform an independent t-test. Missing data will be handled depending on the distribution of data after study completion. To investigate the effects of the interventions and differences between groups for secondary outcomes, a mixed effects model or generalized estimating equations will be conducted, with one between-subject factor (group) and one within-subject factor (evaluation time).