Nomograms for predicting survival outcomes in patients with primary tracheal tumors: a large population-based analysis.

ABSTRACT:

Background

The aim of this study was to develop and validate reliable nomograms to predict individual overall survival (OS) and cancer-specific survival (CSS) for patients with primary tracheal tumors and further estimate the role of postoperative radiotherapy (PORT) for these entities.

Patients and methods

A total of 405 eligible patients diagnosed between 1988 and 2015 were selected from the Surveillance, Epidemiology, and End Results database. All of them were randomly divided into training (n=303) and validation (n=102) sets. For the purpose of establishing nomograms, the Akaike information criterion was employed to select significant prognostic factors in multivariate Cox regression models. Both internal and external validations of the nomograms were evaluated by Harrel

SUBMITTER: Wen J 

PROVIDER: S-EPMC6294060 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature