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

To elaborate a prediction model for quality of life of cervical cancer survivors. 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 L...

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Bibliographic Details
Published in:The journal of obstetrics and gynaecology research 2023-10, Vol.49 (10), p.2446-2456
Main Authors: García, Jorge Cea, Ríos-Pena, Laura, Rodríguez, M Carmen Rubio, Maraver, Francisco Márquez, Jiménez, Inmaculada Rodríguez
Format: Article
Language:English
Subjects:
Bleeding
Cancer therapies
Cervical cancer
Cervix
Odor
Pain
Prediction models
Quality of life
Survivor
Vagina
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Summary:To elaborate a prediction model for quality of life of cervical cancer survivors. 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. 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. 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.
ISSN:1341-8076
1447-0756
DOI:10.1111/jog.15743