Development and verification of prognostic nomogram for extraskeletal Ewing's sarcoma based on the SEER database.

ABSTRACT:

Background

Extraskeletal Ewing's sarcoma (EES) is a rare tumor, and there is currently no predictive model for overall survival of EES patients. This study sought to use data from the Surveillance, Epidemiology, and End Results (SEER) database to develop a clinical predictive model that could be used to assess the prognosis of EES patients.

Methods

We selected and downloaded prognostic data on 356 patients diagnosed with extraskeletal Ewing's sarcoma based on screening criteria, These patients were distributed between 2004 and 2015. 356 patients were randomly divided into a training cohort (70 %) and an internal validation cohort (30 %). After univariate or multifactor Cox regression analysis, the relevant variables were screened and a nomogram was constructed. The consisten

SUBMITTER: Xiao F 

PROVIDER: S-EPMC11719304 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature