Development and validation of a prediction model of poor performance status and severe symptoms over time in cancer patients (PROVIEW+).

ABSTRACT:

Background

Predictive cancer tools focus on survival; none predict severe symptoms.

Aim

To develop and validate a model that predicts the risk for having low performance status and severe symptoms in cancer patients.

Design

Retrospective, population-based, predictive study.

Setting/participants

We linked administrative data from cancer patients from 2008 to 2015 in Ontario, Canada. Patients were randomly selected for model derivation (60%) and validation (40%). Using the derivation cohort, we developed a multivariable logistic regression model to predict the risk of an outcome at 6 months following diagnosis and recalculated after each of four annual survivor marks. Model performance was assessed using discrimination and calibration plots. Outcomes included low

SUBMITTER: Seow H 

PROVIDER: S-EPMC8532207 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature