A nomogram with coagulation markers for prostate cancer prediction in patients with PSA levels of 4-20 ng/mL.

ABSTRACT:

Background

The global incidence of prostate cancer (PCa) is rising, necessitating improved diagnostic strategies. This study explores coagulation parameters' predictive value for clinically significant PCa (csPCa) and develops a nomogram.

Research design and methods

This study retrospectively analyzed data from 702 patients who underwent prostate biopsy at Shandong Provincial Hospital (SDPH) and 142 patients at Shandong Cancer Hospital and Institute (SDCHI). SDPH patients were randomly assigned at a 7:3 ratio for internal validation, while SDCHI data served as external validation. LASSO and logistic regression identified the best predictive factors for csPCa, which were used to construct a model. The model's efficacy was tested using AUC, calibration curves, and decision cur

SUBMITTER: Liu F 

PROVIDER: S-EPMC11812327 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature