Predicting post-radiation genitourinary hospital admissions in patients with localised prostate cancer.

ABSTRACT:

Purpose

The risk of treatment-related toxicity is important for patients with localised prostate cancer to consider when deciding between treatment options. We developed a model to predict hospitalisation for radiation-induced genitourinary toxicity based on patient characteristics.

Methods

The prospective South Australian Prostate Cancer Clinical Outcomes registry was used to identify men with localised prostate cancer who underwent curative intent external beam radiotherapy (EBRT) between 1998 and 2019. Multivariable Cox proportional regression was performed. Model discrimination, calibration, internal validation and utility were assessed using C-statistics and area under ROC, calibration plots, bootstrapping, and decision curve analysis, respectively.

Results

There

SUBMITTER: David R 

PROVIDER: S-EPMC9712379 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature