Table 5.
Example Using a Risk Threshold of 30% with the MAYO Model
| Model | Model Only | Model + AAb | Total | ||||
|---|---|---|---|---|---|---|---|
|
|
|
|
|||||
| MAYO | Negative | Positive | Either Negative | Both Positive | |||
| No LC | 143 | 25 | No LC | 167 | 1 | 168 | |
| LC | 17 | 23 | LC | 30 | 10 | 40 | |
| Total | 160 | 48 | Total | 197 | 11 | 208 | |
|
| |||||||
| Risk | 30% | 30% | |||||
|
| |||||||
| Spec, Sens | 85%, 58% | 99%, 25% | |||||
|
| |||||||
| PPV | 48% | 91% | |||||
|
| |||||||
| RR | 4.5 (2.6–7.7) | 6.0 (4.1–8.7) | |||||
|
| |||||||
| DLRp | 3.9 (2.5–6.1) | 42.0 (5.5–318.9) | |||||
Note: The effect of adding EarlyCDT-Lung was to eliminate virtually all false-positive results (25 down to 1) at the expense of losing just more than half of the cancers (23 down to 11). This gave high performance statistics: PPV = 91%, RR = 6.0, and DLRp = 42.0.
AAb, autoantibody; LC, lung cancer; Risk, risk threshold; Spec, specificity; Sens, sensitivity; PPV, positive predictive value; RR, relative risk with 95% confidence interval; DLRp, positive diagnostic likelihood ratio with 95% confidence interval.