Development and Validation of a Prognostic Survival Model With Patient-Reported Outcomes for Patients With Cancer.

ABSTRACT:

Importance

Existing prognostic cancer tools include biological and laboratory variables. However, patients often do not know this information, preventing them from using the tools and understanding their prognosis.

Objective

To develop and validate a prognostic survival model for all cancer types that incorporates information on symptoms and performance status over time.

Design, setting, and participants

This is a retrospective, population-based, prognostic study of data from patients diagnosed with cancer from January 1, 2008, to December 31, 2015, in Ontario, Canada. Patients were randomly selected for model derivation (60%) and validation (40%). The derivation cohort was used to develop a multivariable Cox proportional hazards regression model with baseline charact

SUBMITTER: Seow H 

PROVIDER: S-EPMC7113728 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature