Statistical analysis
T2D
REGRESSION, REMISSION
Data are presented as mean ( ± SD) or percentage for normally distributed quantitative variables or median and interquartile range for non-normally distributed quantitative variables. The categorical variables were described as the number of cases and the percentage concerning the total. When necessary, the correlation between quantitative variables was calculated using Pearson’s or Spearman’s test. Paired t-tests and Wilcoxon signed-rank tests were used to evaluate the impact between groups according to each metabolic distribution. The area under the time concentration curve (AUC) for GLP-1, GLP-2, insulin, and glucose, was calculated using the trapezoidal rule (Logistic regression analysis was used to determine variables associated with T2D remission. The model included the following variables: initial C-peptide levels, HbA