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

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

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

ISSN: 1465-542X