A nomogram based on clinical features and molecular abnormalities for predicting the prognosis of patients with acute myeloid leukemia.

ABSTRACT:

Background

The high clinical and molecular heterogeneity of acute myeloid leukemia (AML) has led to an unsatisfactory clinical prognosis, thus we sought to incorporate both clinical features and molecular abnormalities to construct a new prognostic model.

Methods

A database search of the Gene Expression Omnibus (GEO) revealed 238 cases of adult AML. The independent risk factors were assessed using both univariate and multivariate Cox regression, as well as least absolute shrinkage and selection operator (LASSO) regression. The predictive accuracy, discriminatory power and clinical applicability of the nomogram were determined by the consistency index (C-index), calibration curves and decision curve analysis (DCA). In addition, a single-centre cohort of 135 cases was used for

SUBMITTER: Guo Y 

PROVIDER: S-EPMC10774028 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature