Skip to main content
. 2026 Jul 13;16:1862415. doi: 10.3389/fonc.2026.1862415

Figure 2.

Four-panel graphic of ROC curves displays sensitivity versus one minus specificity for four predictive models: ferritin (top left, purple line), anemia (top right, blue line), bloodtype (bottom left, green line), and full model (bottom right, red line). Each plot includes a gray diagonal reference line and a labeled threshold point showing cut-off, sensitivity, and specificity values. All axes range from zero to one.

Individual ROC curves for predictive variables and full model. This panel of receiver operating characteristic (ROC) curves displays the discriminative ability of individual variables (ferritin, anemia, bloodtype) and the full prediction model for DEHR after allo-HSCT. Each subplot corresponds to one predictor, with curves illustrating the trade-off between sensitivity (true positive rate) and 1-specificity (false positive rate) for predicting the outcome.