García JC, Ríos-Pena L, Rodríguez MCR, Maraver FM, Jiménez IR. Development and internal validation of a multivariable prediction model for the quality of life of cervical cancer survivors.
J Obstet Gynaecol Res 2023;
49:2446-2456. [PMID:
37435890 DOI:
10.1111/jog.15743]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 07/04/2023] [Indexed: 07/13/2023]
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.
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