Table 3 The nomogram comparing with other models.
Models | Cut-off | Training set | Validation set | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
AUC (95%CI) | Sensitivity | Specificity | NPV | PPV | AUC (95%CI) | Sensitivity | Specificity | NPV | PPV | ||
nomogram | 0.410 | 0.806(0.740, 0.872) | 0.696 | 0.788 | 0.804 | 0.640 | 0.808(0.707, 0.909) | 0.625 | 0.756 | 0.739 | 0.645 |
APRI | 1.676 | 0.573(0.488, 0.658) | 0.217 | 0.912 | 0.656 | 0.600 | 0.625(0.501, 0.749) | 0.125 | 0.911 | 0.594 | 0.500 |
FIB-4 | 1.360 | 0.639(0.554, 0.724) | 0.478 | 0.788 | 0.712 | 0.579 | 0.710(0.592, 0.829) | 0.406 | 0.867 | 0.672 | 0.684 |
GPR | 0.613 | 0.649(0.565, 0.734) | 0.420 | 0.858 | 0.708 | 0.644 | 0.716(0.602, 0.830) | 0.344 | 0.889 | 0.656 | 0.688 |
