Table 4.
Predictive capability of TiC-Onco and Khorana scores
| TiC-Onco (1) | TiC-Onco (2) | Khorana | p (TiC-Onco (1) vs Khorana) | p (TiC-Onco (2) vs Khorana) | |
|---|---|---|---|---|---|
| AUC (95% CI) | 0.734 (0.67–0.79) | 0.734 (0.67–0.79) | 0.580 (0.51–0.65) | <0.001 | <0.001 |
| Sensitivity, % (95% CI) | 49.30 (37.7–60.9) | 85.92 (77.8–94.0) | 22.54 (12.8–32-3) | <0.001 | <0.001 |
| Specificity, % (95%, CI) | 81.25 (77.0–85.5) | 49.06 (43.6–54.5) | 81.76 (77.5–86.0) | 0.823 | <0.001 |
| PPV, % (95% CI) | 36.84 (27.1–46.5) | 27.23 (21.4–33.1) | 21.62 (12.2–31.0) | 0.004 | 0.218 |
| NPV, % (95% CI) | 87.84 (84.1–91.6) | 94.01 (90.4–97.6) | 82.54 (78.3–86.7) | <0.001 | <0.001 |
| PLR (95% CI) | 2.63 (1.89 - 3.65) | 1.69 (1.46 - 1.95) | 1.24 (0.76 - 2.02) | 0.005 | 0.244 |
| NLR (95% CI) | 0.62 (0.49 - 0.79) | 0.29 (0.16 - 0.52) | 0.95 (0.83 - 1.09) | 0.001 | <0.001 |
TiC-Onco (1) shows the predictive capabilities for the default cut-off (see Methods). TiC-Onco (2) shows the predictive capabilities for the cut-off providing the best Youden’s Index.
AUC Area Under the Roc Curve, PPV Positive Predictive Value, NPV Negative Predictive Value, PLR Positive Likelihood Ratio, NLR Negative Likelihood Ratio