Ontology highlight
ABSTRACT: Objectives
This study aims to develop a robust predictive model for survival in AML patients undergoing allo-HSCT.Methods
It was performed a retrospective analysis of 336 AML patients who underwent allo-HSCT at Peking University First Hospital between September 2003 and March 2023. Univariable and multivariable Cox regression analyses were conducted to determine hazard ratios (HR) for overall survival. A predictive model was developed based on multivariable analysis results. Internal validation was carried out through bootstrap resampling, and the model's performance was assessed using the Concordance Index (C-index), Receiver Operating Characteristics (ROC) curve, calibration plots, and Decision Curve Analysis (DCA).Results
Our prognostic model, which includes age,
SUBMITTER: Wang QY
PROVIDER: S-EPMC12225890 | biostudies-literature | 2025 Jul
REPOSITORIES: biostudies-literature