Table 2 ROC curve analysis of variables
From: Predicting the diagnosis of prostate cancer with a scoring system based on novel biomarkers
AUC | Cut off | Sensitivity Sn | Specificity Sp | Youden Index | 95% Confidence Interval | Significance p value | |
|---|---|---|---|---|---|---|---|
Age | 0.640 | 70.5 | 47.9 | 78.2 | 0.261 | 0.598–0.682 | < 0.001 |
DRE | 0.563 | – | 39.0 | 73.6 | – | 0.520–0.600 | 0.005 |
Prostate volume | 0.638 | 35.35 | 42.1 | 78.9 | 0.21 | 0.596–0.680 | < 0.001 |
Lymphocyte | 0.995 | 3.50 | 97.6 | 97.1 | 0.947 | 0.990–0.999 | < 0.001 |
NLR | 0.901 | 0.904 | 82.8 | 99.8 | 0.825 | 0.871–0.930 | < 0.001 |
PSA | 0.813 | 27.54 | 60.0 | 94.7 | 0.577 | 0.778–0.849 | < 0.001 |
PSAD | 0.849 | 0.409 | 73.1 | 89.3 | 0.624 | 0.815–0.882 | < 0.001 |
Neut: PV | 0.579 | 0.108 | 63.4 | 54.3 | 0.182 | 0.536–0.621 | < 0.001 |
NLR: PV | 0.881 | 0.126 | 75.5 | 98.5 | 0.741 | 0.850–0.913 | < 0.001 |
NLR: PSAD | 0.946 | 3.303 | 85.5 | 96.9 | 0.824 | 0.926–0.967 | < 0.001 |
Multivariate regression | 0.930 | – | 87.9 | 87.7 | – | 0.909–0.950 | < 0.001 |
Scoring system | 0.915 | 2 | 83.8 | 86.4 | 0.702 | 0.895–0.936 | < 0.001 |