A prognostic model to identify short survival expectancy of medical oncology patients at the time of hospital discharge.

ABSTRACT:

Background

Hospitalization of cancer patients is associated with poor overall survival, but prognostic misclassification may lead to suboptimal therapeutic decisions and transitions of care. No model is currently available for stratifying the heterogeneous population of oncological patients after a hospital admission to a general Medical Oncology ward. We developed a multivariable prognostic model based on readily available and objective clinical data to estimate survival in oncological patients after hospital discharge.

Methods

A multivariable model and nomogram for overall survival after hospital discharge was developed in a retrospective training cohort and prospectively validated in an independent set of adult patients with solid tumors and a first admission to a unit of

SUBMITTER: Vicente Conesa MA 

PROVIDER: S-EPMC8844687 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature