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Table 1 Fractional polynomial functions and associated logarithmic HRs for age at diagnosis, tumour size, number of positive nodes, tumour grade and mode of detection by oestrogen receptor status

From: An updated PREDICT breast cancer prognostication and treatment benefit prediction model with independent validation

Prognostic factor Function Log HR P value
ER-negative breast cancer specific mortality
 Age = age − 56.325 0.00894 0.025
 Tumour size, mm = (size/100)1/2 − 0.5090 2.109 <0.0001
 Number of positive nodes =1/[(nodes + 1)/10] 1/2 − 1.72 −0.705 <0.0001
 Grade = grade 0.259 0.028
ER-positive breast cancer-specific mortality
 Age 1 = (age/10)−2 − 0.0287 34.53 0.001
 Age 2 = (age/10)−2 × ln(age/10) − 0.0510 −34.20 0.001
 Tumour size, mm = ln(size/100) + 1.5452 0.7531 <0.0001
 Number of positive nodes = ln((nodes + 1)/10) + 1.3876 0.7069 <0.0001
 Grade = grade 0.7467 <0.0001
 Screen-detected screen detected = 1 −0.2763 0.016
Non-breast cancer mortality
 Age = (age/10)2 − 34.234 0.0698 <0.0001
  1. ER Oestrogen receptor