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Table 3 Summary of models predicting high-risk RS (RS > 25) with clinicopathological characteristics

From: A nomogram to predict the high-risk RS in HR+/HER2-breast cancer patients older than 50 years of age

Year Author Patients (n) Predictors Type of variables Calibration Discrimination
2016 Hyun-seok Kim et al Training n = 1113 ER Numerical (percent) 52.50% /
Validation n = 472 PR Numerical (percent)   
Ki-67 Numerical (percent)   
HER2 Categorical (negative/positive)   
Elston grade Categorical (Low/Intermediate/High)   
2019 Amila Orucevic et al Training n = 65,754 Age Numerical 86.80% 0.81
Validation n = 18,585 Size Numerical   
Grade Categorical (1/2/3)   
PR Categorical (negative/positive)   
Histology Categorical (IDC/ILC/IDC + ILC/IDC + others)   
2019 Sae Byul Lee et al Training n = 340 ER Allred score Numerical (0–8) / 0.90
Validation n = 145 PR Allred score Numerical (0–8)   
Nuclear grade Categorical (1/2/3)   
LVI Categorical (negative/positive)   
Ki-67 Numerical (percent)   
2019 Shin Hye Yoo et al Training n = 192 Nuclear grade Categorical (Low-Intermediate/High) / 0.856
Validation n = 264 PR Categorical (negative/positive)   
Ki-67 Numerical (percent)   
The current study Training n = 1100 1000 bootstrap internal validation, external validation n = 282 Histologic subtype Categorical (IDC/mixed/others)   
Grade Categorical (1/2/3)   0.798
ER Numerical (percent)   
PR Numerical (percent)   
Ki-67 Numerical (percent)