Prognostic modeling for diffuse midline glioma: development and validation of a risk stratification nomogram using SEER and institutional cohorts.

ABSTRACT:

Background

Diffuse midline glioma (DMG) is a rare and highly aggressive central nervous system tumor with limited treatment options and poor survival outcomes. Reliable prognostic models are urgently needed to guide risk-adapted therapy.

Methods

We retrospectively analyzed 409 DMG patients from the SEER database (2018-2021). Independent prognostic factors were identified using multivariate Cox regression analysis. A nomogram was developed to estimate overall survival, and its performance was evaluated using the concordance index (C-index), time-dependent ROC curves, calibration plots. Risk stratification was based on nomogram total scores. Subgroup survival comparisons were conducted using Kaplan-Meier and log-rank tests. External validation was performed using an independen

SUBMITTER: Zhang G 

PROVIDER: S-EPMC12597815 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature