Competing-risks model for predicting the prognosis of penile cancer based on the SEER database.

ABSTRACT:

Objectives

This study performed a competing-risks analysis using data from the SEER database on penile cancer patients with the aim of identifying more accurate prognostic factors.

Methods

Data on patients with penile cancer were extracted from the SEER database. A univariate analysis used the cumulative incidence function and Gray's test, while multivariate analysis was performed using the Fine-Gray model. Cumulative hazards were compared with a competing-risks model constructed using Kaplan-Meier estimation.

Results

The multivariate Fine-Gray analysis indicated that being black (HR = 1.51, 95%CI: 1.10-2.07, P = .01), AJCC stage II (HR = 1.94, 95%CI: 1.36-2.77, P < .001), AJCC stage III (HR = 1.98, 95%CI: 1.34-2.91, P < .001), tumor size > 5 cm (HR = 2.23, 95%CI: 1.3

SUBMITTER: Yang J 

PROVIDER: S-EPMC6912058 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature