Table 2 Prediction accuracy of the superlearner estimating the risk of diabetic kidney disease in patients with type 2 diabetes mellitus and normal renal function
| Â | Value (95% CI) | |
|---|---|---|
Variable | Training cohort (N = 2303) | Validation cohort (N = 988) |
#DKD | 394 (17.11%) | 169 (17.11%) |
AUC | 0.9378 (0.9272, 0.9484) | 0.7138 (0.673, 0.7546) |
Cutoff probability | 0.15 | 0.15 |
Sensitivity, % | 95.94 (93.49, 97.66) | 73.37 (66.04, 79.87) |
Specificity, % | 67.73 (65.58, 69.83) | 59.10 (55.64, 62.49) |
PPV, % | 38.03 (35.00, 41.13) | 27.02 (23.00, 31.33) |
NPV, % | 98.78 (98.02, 99.30) | 91.49 (88.78, 93.73) |
Positive likelihood ratio | 2.9732 (2.7775, 3.1827) | 1.7938 (1.5869, 2.0277) |
Negative likelihood ratio | 0.0600 (0.0371, 0.0970) | 0.4506 (0.3486, 0.5824) |