Nomogram to estimate the risk of PCa
TG
REGRESSION, PROSTATE
Using multivariate logistic regression, a predictive model was constructed. 7 of the initial 13 variables were incorporated into the predictive model (model 2), namely tPSA, f/tPSA, PSAD, TG, LDL, DRE, and TRUS, as predictors. Each variable is scored, and a straight line is drawn from the total score to determine harboring PCa probability (Fig. 
Diagnostic values of models in the training group and validation group for the results of prostate biopsy
Comparison of diagnostic values of other prediction models with that of our models
Nomogram predicts the probability of PCa.