Development and validation of nomograms to predict survival of primary adrenal lymphoma: a population-based retrospective study.

ABSTRACT: While it is known that accurate evaluation of overall survival (OS) and disease-specific survival (DSS) for patients with primary adrenal lymphoma (PAL) can affect their prognosis, no stable and effective prediction model exists. This study aimed to develop prediction models to evaluate survival. This study enrolled 5448 patients with adrenal masses from the SEER Program. The influencing factors were selected using the least absolute shrinkage and selection operator regression model (LASSO) and Fine and Gray model (FGM). In addition, nomograms were constructed. Receiver operating characteristic curves and bootstrap self-sampling methods were used to verify the discrimination and consistency of the nomograms. The independent influencing factors for PAL survival were selected by LASSO and FG

SUBMITTER: Sun S 

PROVIDER: S-EPMC10475110 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature