Table 6.
Values of sensitivity, specificity and predictive values of the nomogram scores at different cut-off values
Nomogram score/predicted probability | Specificity | Sensitivity | Accuracy | PPV | NPV |
≥0.10 | 0.40 | 0.95 | 0.51 | 0.29 | 0.97 |
≥0.20 | 0.65 | 0.84 | 0.69 | 0.38 | 0.94 |
≥0.30 | 0.80 | 0.63 | 0.76 | 0.44 | 0.90 |
≥0.40 | 0.84 | 0.58 | 0.79 | 0.48 | 0.89 |
≥0.50 | 0.95 | 0.53 | 0.86 | 0.71 | 0.89 |
≥0.60 | 0.95 | 0.32 | 0.82 | 0.60 | 0.85 |
≥0.70 | 0.96 | 0.21 | 0.81 | 0.57 | 0.83 |
≥0.80 | 0.96 | 0.16 | 0.80 | 0.50 | 0.82 |
≥0.90 | 0.99 | 0.05 | 0.80 | 0.50 | 0.80 |
The predicted probability/nomogram score is a numeric value representing the prediction model score of the individual patient. The nomogram score can be used as a test parameter, and a positive test result can be defined as a score that is equal to or exceeds a specific cut-off value. A negative test result is defined as a score less than the cut-off value.
NPV, negative predictive value; PPV, positive predictive value.