Risk factors for biochemical recurrence of prostate cancer after radical prostatectomy

Objective To analyze the risk factors for biochemical recurrence in prostate cancer patients after radical prostatectomy (RP) and establish a risk prediction model for the recurrence. Methods A retrospective cohort study was conducted on 279 patients who underwent RP surgery in our hospital from September 2007 to March 2022. There were 21 clinical indicators collected and analyzed. After time factors were included, Lasso regression was applied to screen the indicators, Kaplan-Meier method was used to draw survival curve, univariate and multivariate Cox proportional risk regression models were employed to analyze the risk factors and establish a prediction model. Then receiver operating characteristic (ROC) curve were plotted to evaluate the discriminative performance of the model. Then a nomogram was draw based on the obtained risk factors. Calibration curve was used to evaluate the accuracy of prediction, and decision curve was employed to assess the clinical benefit. Results During a median follow-up time o