Type 2 diabetes remission 2 years post Roux‐en‐Y gastric bypass and sleeve gastrectomy: the role of the weight loss and comparison of DiaRem and DiaBetter scores

Figures

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  Figure 1. Comparison of the diagnostic value of DiaBetter and DiaRem (continuous scores) in the study population (n = 210) using the nonparametric receiver operating characteristic (ROC) plot. This test is used to classify the accuracy of a prediction model and the closer the area under the curve to a value of 1, the more accurate the model. Sensitivity is shown on the y‐axis and specificity on the x‐axis. DiaBetter prediction score is shown by the filled circles and solid line, and DiaRem by the open squares and a dotted line. Area under the DiaBetter ROC curve and DiaRem ROC curve with 95% confidence intervals and P‐value for the test of equality of ROC areas is shown. The diagonal line is the line of no discrimination, it divides the ROC space into two, the points above the diagonal represent good classification results (better than random), points below the line represent poor results (worse than random).

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  Figure 2. Comparison of the diagnostic value of DiaBetter and DiaRem (continuous scores) in the validation population (n = 173) using the nonparametric receiver operating characteristic (ROC) plot. DiaBetter prediction score is shown by filled circles and a solid line, and DiaRem by open squares and a dotted line. Area under the DiaBetter ROC curve and DiaRem ROC curve with 95% confidence intervals and p value for the test of equality of ROC areas is shown. The diagonal line is the line of no discrimination, it divides the ROC space into two, the points above the diagonal represent good classification results (better than random), points below the line represent poor results (worse than random).