Instead of a table-based approach, the color-based method to present the score system of Residual Tumor. The color corresponding to each predictor value corresponds to a number of points, which is indicated within each colored interval. The patient’s score is the sum of the points for all predictors. This score is converted into a risk estimate by means of the last color bar where a dark green color indicates a low risk and a light green to ecru color indicates high risk. This visualization of the model allows users to instantly gauge which predictors contribute most to a high risk estimate.
Van Belle, Vanya, and Ben Van Calster “Visualizing risk prediction models.” PloS one 10.7 (2015)
Overall Visualization
Individual Visualization (ID=140)
Prediction Model Logistic Regression w/ Interactions
| Characteristic | OR1 | 95% CI1 | p-value |
|---|---|---|---|
| Age | 1.01 | 0.97, 1.06 | 0.49 |
| Tumor_Size | 1.06 | 1.04, 1.08 | <0.001 |
| Histology | |||
| Invasive-duct./ductal-lob. | — | — | |
| Others | 3.41 | 2.16, 5.46 | <0.001 |
| Multifocality | |||
| No | — | — | |
| Yes | 1.65 | 0.95, 2.85 | 0.071 |
| Accomp_in_situ | |||
| Others | — | — | |
| DCIS & LCIS | 2.06 | 0.59, 7.30 | 0.25 |
| Lymphovascular | |||
| Yes | — | — | |
| No | 5.16 | 0.34, 82.7 | 0.24 |
| Age * Lymphovascular | |||
| Age * No | 0.96 | 0.91, 1.00 | 0.061 |
| Accomp_in_situ * Lymphovascular | |||
| DCIS & LCIS * No | 2.86 | 0.73, 11.3 | 0.13 |
|
1
OR = Odds Ratio, CI = Confidence Interval
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