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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

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

  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