Competing-risks nomograms for predicting cause-specific mortality in parotid-gland carcinoma: A population-based analysis.

ABSTRACT:

Introduction

Parotid-gland carcinoma (PGC) is a relatively rare tumor that comprises a group of heterogeneous histologic subtypes. We used the Surveillance, Epidemiology, and End Results (SEER) program database to apply a competing-risks analysis to PGC patients, and then established and validated predictive nomograms for PGC.

Methods

Specific screening criteria were applied to identify PGC patients and extract their clinical and other characteristics from the SEER database. We used the cumulative incidence function to estimate the cumulative incidence rates of PGC-specific death (GCD) and other cause-specific death (OCD), and tested for differences between groups using Gray's test. We then identified independent prognostic factors by applying the Fine-Gray proportional subd

SUBMITTER: Xu F 

PROVIDER: S-EPMC8178487 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature