A nomogram for prediction of distant metastasis in patients with hypopharyngeal squamous cell carcinoma: a study based on the SEER database.

ABSTRACT:

Background

The prognosis of hypopharyngeal squamous cell carcinoma (HPSCC) is poor due to its high incidence of local invasion and distant metastasis (DM). This study aims to explore the DM risk factors of HPSCC and establish a clinical prediction model.

Methods

We downloaded patient data from the Public Surveillance, Epidemiology, and End Results (SEER) database between 2004 and 2018. Univariate and multivariate logistic regression analyses were performed to screen the clinical risk factors for DM of HPSCC. A new nomogram prediction model was then established based on the selected clinical risk factors. We further validated the model's accuracy based on the concordance index (C-index), the area under the receiver operating characteristic (AUC) curve, and the calibration plo

SUBMITTER: Liu X 

PROVIDER: S-EPMC9452331 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature