Development and internal validation of a multivariable prediction model for the quality of life of cervical cancer survivors

Abstract

AbstractPurposeTo elaborate a prediction model for quality of life of cervical cancer survivors.MethodsWe conducted a prospective cohort study on 229 cervical cancer survivors. The quality of life measures included the Functional Assessment Cancer Therapy‐Cervix version 4.0 and the World Health Organization Quality of Life‐brief version self‐administered questionnaires. We imported the data into the statistical software program R and developed a gamma generalized linear model.ResultsOur internally validated predictive model for the Functional Assessment Cancer Therapy‐Cervix total score was composed of the following predictors: pain, appetite, vaginal bleeding/discharge/odor, and WHOQOL‐BREF social relationships domain. The Harrell's concordance index was 0.75.ConclusionsWe developed a solid and internally validated predictive model in cervical cancer survivors based on predictors, such as pain, appetite, vaginal bleeding/odor/discharge, and WHOQOL‐BREF social relationships subscale score that contribute significantly to quality of life as targets for potential intervention.