A novel nomogram and risk classification system predicting the Ewing sarcoma: a population-based study.

ABSTRACT: Ewing sarcoma (ES) is a rare disease that lacks a prognostic prediction model. This study aims to develop a nomogram and risk classification system for estimating the probability of overall survival (OS) of patients with ES. The clinicopathological data of ES were collected from the Surveillance, Epidemiology and Final Results (SEER) database from 2010 to 2018. The primary cohort was randomly assigned to the training set and the validation set. Univariate and multiple Cox proportional hazard analyses based on the training set were performed to identify independent prognostic factors. A nomogram was established to generate individualized predictions of 3- and 5-year OS and evaluated by the concordance index (C-index), the receiver operating characteristic curve (ROC), the calibration curve,

SUBMITTER: Zheng Y 

PROVIDER: S-EPMC9113999 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature