Table A2.
Predictive Performance of Clinical and Genomic Predictors of Excellent Pathologic Response After Neoadjuvant Chemotherapy
| Predictive Model | Accuracy |
Sensitivity |
Specificity |
PPV |
NPV |
|||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mean | 95% CI | Mean | 95% CI | Mean | 95% CI | Mean | 95% CI | Mean | 95% CI | |
| Clinical factors alone* | 69.1 | 65.5 to 72.0 | 27.6 | 18.8 to 37.7 | 87.0 | 80.0 to 92.5 | 48.2 | 38.9 to 57.1 | 73.6 | 71.7 to 75.7 |
| Clinical factors + continuous GGI | 71.2 | 67.7 to 74.2 | 37.9 | 30.4 to 46.4 | 85.6 | 81.2 to 88.8 | 53.1 | 45.1 to 60.4 | 76.2 | 73.9 to 78.4 |
| GGI risk† categories alone | 57.6 | 51.0 to 64.1 | 85.5 | 75.0 to 92.8 | 45.6 | 37.7 to 53.7 | 40.4 | 32.4 to 48.8 | 88.0 | 79.0 to 94.1 |
NOTE. For the logistic regression models the 95% CIs of the performance statistic represent the cross-validated CIs (ie, they contain 95% of the cross-validated values of the statistic). For the single-marker model (GGI), the 95% CI is based on the exact binomial interval.
Abbreviations: GGI, genomic grade index; PPV, positive predictive value; NPV, negative predictive value.
*
Age at diagnosis, estrogen receptor status, nodal status, histologic grade, and tumor stage.
†
Dichotomized as GGI high risk compared to GGI low risk.