Ontology highlight
ABSTRACT: Background
T-cell large granular lymphocyte leukaemia (T-LGLL) generally has a favourable prognosis, but a small proportion of patients are facing a relatively short survival time. This study aimed to identify clinical factors associated with survival in patients with T-LGLL and develop a predictive model for guiding therapeutic decision-making.Materials and methods
We conducted a retrospective study on 120 patients with T-LGLL. Lasso regression was performed for feature selection followed by univariate and multivariate Cox regression analysis. A decision tree algorithm was employed to construct a model for predicting overall survival (OS) in T-LGLL.Results
The median age of diagnosis for the entire cohort was 59 years, and 76.7% of patients reported disease-related
SUBMITTER: Liu H
PROVIDER: S-EPMC10561584 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature