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Title: Prediction of quality of life in early breast cancer upon completion of adjuvant chemotherapy
Author: Carmona-Bayonas, Alberto
Calderón Garrido, Caterina
Hernández, Raquel
Fernández Montes, Ana
Castelo, Beatriz
Ciria-Suarez, Laura
Antoñanzas Basa, Mónica
Rogado, Jacobo
Pacheco-Barcia, Vilma
Asensio-Martínez, Elena
Ivars, Alejandra
Ayala de la Peña, Francisco
Jiménez Fonseca, Paula
Keywords: Càncer de mama
Qualitat de vida
Quimioteràpia del càncer
Breast cancer
Quality of life
Cancer chemotherapy
Issue Date: 13-Jul-2021
Publisher: Springer Nature
Abstract: Quality of life (QoL) is a complex, ordinal endpoint with multiple conditioning factors. A predictive model of QoL after adjuvant chemotherapy can support decision making or the communication of information about the range of treatment options available. Patients with localized breast cancer (n = 219) were prospectively recruited at 17 centers. Participants completed the EORTC QLQC30 questionnaire. The primary aim was to predict health status upon completion of adjuvant chemotherapy adjusted for multiple covariates. We developed a Bayesian model with six covariates (chemotherapy regimen, TNM stage, axillary lymph node dissection, perceived risk of recurrence, age, type of surgery, and baseline EORTC scores). This model allows both prediction and causal inference. The patients with mastectomy reported a discrete decline on all QoL scores. The effect of surgery depended on the interaction with age. Women with ages on either end of the range displayed worse scores, especially with mastectomy. The perceived risk of recurrence had a striking effect on health status. In conclusion, we have developed a predictive model of health status in patients with early breast cancer based on the individual's profile.
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It is part of: Npj Breast Cancer, 2021, vol. 7, p. 92
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Appears in Collections:Articles publicats en revistes (Psicologia Clínica i Psicobiologia)

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