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

Authors

Garcia, Jorge Cea , Rios-Pena, Laura , Rodriguez, M. Carmen Rubio , Maraver, Francisco Marquez , Jimenez, Inmaculada Rodriguez

External publication

No

Means

J. Obstet. Gynaecol. Res.

Scope

Article

Nature

Científica

JCR Quartile

SJR Quartile

JCR Impact

1.6

SJR Impact

0.576

Publication date

01/10/2023

ISI

001028947100001

Abstract

Purpose To elaborate a prediction model for quality of life of cervical cancer survivors.Methods We 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.Results Our 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.Conclusions We 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.

Keywords

cancer of the cervix; psychosocial issue and GYN cancer; radiation therapy in GYN cancers; research design; epidemiology and statistics; surgery in GYN cancers