Prediction of quality of life in early breast cancer upon completion of adjuvant chemotherapy

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 cance...

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Autores principales:	Alberto Carmona-Bayonas, Caterina Calderón, Raquel Hernández, Ana Fernández Montes, Beatriz Castelo, Laura Ciria-Suarez, Mónica Antoñanzas, Jacobo Rogado, Vilma Pacheco-Barcia, Elena Asensio Martínez, Alejandra Ivars, Francisco Ayala de la Peña, Paula Jimenez-Fonseca
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/8239bfeb60044c5d8981d76b9c9a0e1a
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spelling	oai:doaj.org-article:8239bfeb60044c5d8981d76b9c9a0e1a2021-12-02T16:08:12ZPrediction of quality of life in early breast cancer upon completion of adjuvant chemotherapy10.1038/s41523-021-00296-82374-4677https://doaj.org/article/8239bfeb60044c5d8981d76b9c9a0e1a2021-07-01T00:00:00Zhttps://doi.org/10.1038/s41523-021-00296-8https://doaj.org/toc/2374-4677Abstract 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 QLQ-C30 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.Alberto Carmona-BayonasCaterina CalderónRaquel HernándezAna Fernández MontesBeatriz CasteloLaura Ciria-SuarezMónica AntoñanzasJacobo RogadoVilma Pacheco-BarciaElena Asensio MartínezAlejandra IvarsFrancisco Ayala de la PeñaPaula Jimenez-FonsecaNature PortfolioarticleNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENnpj Breast Cancer, Vol 7, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Alberto Carmona-Bayonas Caterina Calderón Raquel Hernández Ana Fernández Montes Beatriz Castelo Laura Ciria-Suarez Mónica Antoñanzas Jacobo Rogado Vilma Pacheco-Barcia Elena Asensio Martínez Alejandra Ivars Francisco Ayala de la Peña Paula Jimenez-Fonseca Prediction of quality of life in early breast cancer upon completion of adjuvant chemotherapy
description	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 QLQ-C30 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.
format	article
author	Alberto Carmona-Bayonas Caterina Calderón Raquel Hernández Ana Fernández Montes Beatriz Castelo Laura Ciria-Suarez Mónica Antoñanzas Jacobo Rogado Vilma Pacheco-Barcia Elena Asensio Martínez Alejandra Ivars Francisco Ayala de la Peña Paula Jimenez-Fonseca
author_facet	Alberto Carmona-Bayonas Caterina Calderón Raquel Hernández Ana Fernández Montes Beatriz Castelo Laura Ciria-Suarez Mónica Antoñanzas Jacobo Rogado Vilma Pacheco-Barcia Elena Asensio Martínez Alejandra Ivars Francisco Ayala de la Peña Paula Jimenez-Fonseca
author_sort	Alberto Carmona-Bayonas
title	Prediction of quality of life in early breast cancer upon completion of adjuvant chemotherapy
title_short	Prediction of quality of life in early breast cancer upon completion of adjuvant chemotherapy
title_full	Prediction of quality of life in early breast cancer upon completion of adjuvant chemotherapy
title_fullStr	Prediction of quality of life in early breast cancer upon completion of adjuvant chemotherapy
title_full_unstemmed	Prediction of quality of life in early breast cancer upon completion of adjuvant chemotherapy
title_sort	prediction of quality of life in early breast cancer upon completion of adjuvant chemotherapy
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/8239bfeb60044c5d8981d76b9c9a0e1a
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Prediction of quality of life in early breast cancer upon completion of adjuvant chemotherapy

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