Table 3 The IPRC 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
IPRC – PCa model | IPRC – high-grade PCa model | |||||
|---|---|---|---|---|---|---|
Coefficients | Std. Error | p-value | Coefficients | Std. Error | p-value | |
Intercept | −2.100 | 0.202 | < 0.001 | −2.510 | 0.274 | < 0.001 |
Age | 0.009 | 0.003 | 0.005 | 0.016 | 0.004 | < 0.001 |
Family history (Positive) | 0.396 | 0.093 | < 0.001 | – | – | – |
Family history (Missing) | 0.344 | 0.056 | < 0.001 | – | – | – |
logPSA | 0.425 | 0.034 | < 0.001 | 0.604 | 0.050 | < 0.001 |
DRE (Abnormal) | 0.639 | 0.046 | < 0.001 | 0.560 | 0.060 | < 0.001 |
DRE (Missing) | −0.230 | 0.063 | < 0.001 | 0.228 | 0.0863 | 0.008 |
Previous negative biopsy (Yes) | −0.259 | 0.060 | < 0.001 | −0.679 | 0.091 | < 0.001 |