A risk calculator to inform the need for a prostate biopsy: a rapid access clinic cohort

Table 5 The IPRCv models for predicting PCa on the left and high-grade PCa on the right. The coefficients, standard deviation and p-value represented for each variable in the logistic regression models

	IPRCv – PCa model			IPRCv – high-grade PCa model
	Coefficients	Std. Error	p-value	Coefficients	Std. Error	p-value
Intercept	−2.527	0.260	< 0.001	−2.369	0.342	< 0.001
Age	0.033	0.004	< 0.001	0.017	0.005	0.002
Family history (Positive)	0.158	0.111	0.152	–	–	–
Family history (Missing)	0.200	0.067	0.003	–	–	–
logPSA	0.435	0.045	< 0.001	0.650	0.065	< 0.001
DRE (Abnormal)	0.498	0.059	< 0.001	0.527	0.075	< 0.001
DRE (Missing)	−0.193	0.078	0.013	0.289	0.105	0.006
Previous negative biopsy (Yes)	−0.226	0.070	0.001	−0.693	0.106	< 0.001
Prostate volume	−0.019	0.001	< 0.001	−0.007	0.002	< 0.001

ISSN: 1472-6947