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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)