Table 8.
The sensitivities, specificities, and positive and negative predictive values calculated with a Manchester Scoring System cut-off score of ≥ 10 for each gene and ≥ 15 combined, and for BOADICEA score of ≥ 0.10 for each gene and ≥ 0.10 combined (ie, 10% probability of carrying a deleterious mutation)
| Manchester Scoring System | BOADICEA | |||||
| BRCA1 | BRCA2 | Combined | BRCA1 | BRCA2 | Combined | |
| Area under the receiver operating curves | 0.74 | 0.82 | 0.80 | 0.82 | 0.56 | 0.73 |
| Standard error | 0.078 | 0.079 | 0.06 | 0.070 | 0.093 | 0.061 |
| 95% CI | 0.67 – 0.81 | 0.75 – 0.88 | 0.72 – 0.86 | 0.75 – 0.88 | 0.48 – 0.64 | 0.65 – 0.80 |
| P valuea | 0.0018 | 0.0001 | 0.0001 | 0.0001 | 0.507 | 0.0001 |
| Sensitivity | 57% | 55% | 72% | 57% | 9% | 40% |
| Specificity | 76% | 87% | 74% | 93% | 93% | 85% |
| Positive-predictive value | 20% | 25% | 37% | 47% | 10% | 36% |
| Negative-predictive value | 94% | 96% | 93% | 95% | 93% | 87% |
aP value is the probability that the sample area under the ROC curve is found when in fact, the true area under the ROC curve is 0.5 (i.e. null hypothesis: Area = 0.5).