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Predicting Ovarian-Cancer Burden in Catalonia by 2030: An Age–Period–Cohort Modelling

Ovarian cancer is the most lethal gynaecological cancer in very-high-human-development-index regions. Ovarian cancer incidence and mortality rates are estimated to globally rise by 2035, although incidence and mortality rates depend on the region and prevalence of the associated risk factors. The ai...

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Autores principales: Peremiquel-Trillas, Paula, Frias-Gomez, Jon, Alemany, Laia, Ameijide, Alberto, Vilardell, Mireia, Marcos-Gragera, Rafael, Paytubi, Sònia, Ponce, Jordi, Martínez, José Manuel, Pineda, Marta, Brunet, Joan, Matías-Guiu, Xavier, Carulla, Marià, Galceran, Jaume, Izquierdo, Ángel, Borràs, Josep M., Costas, Laura, Clèries, Ramon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8834772/
https://www.ncbi.nlm.nih.gov/pubmed/35162436
http://dx.doi.org/10.3390/ijerph19031404
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author Peremiquel-Trillas, Paula
Frias-Gomez, Jon
Alemany, Laia
Ameijide, Alberto
Vilardell, Mireia
Marcos-Gragera, Rafael
Paytubi, Sònia
Ponce, Jordi
Martínez, José Manuel
Pineda, Marta
Brunet, Joan
Matías-Guiu, Xavier
Carulla, Marià
Galceran, Jaume
Izquierdo, Ángel
Borràs, Josep M.
Costas, Laura
Clèries, Ramon
author_facet Peremiquel-Trillas, Paula
Frias-Gomez, Jon
Alemany, Laia
Ameijide, Alberto
Vilardell, Mireia
Marcos-Gragera, Rafael
Paytubi, Sònia
Ponce, Jordi
Martínez, José Manuel
Pineda, Marta
Brunet, Joan
Matías-Guiu, Xavier
Carulla, Marià
Galceran, Jaume
Izquierdo, Ángel
Borràs, Josep M.
Costas, Laura
Clèries, Ramon
author_sort Peremiquel-Trillas, Paula
collection PubMed
description Ovarian cancer is the most lethal gynaecological cancer in very-high-human-development-index regions. Ovarian cancer incidence and mortality rates are estimated to globally rise by 2035, although incidence and mortality rates depend on the region and prevalence of the associated risk factors. The aim of this study is to assess changes in incidence and mortality of ovarian cancer in Catalonia by 2030. Bayesian autoregressive age–period–cohort models were used to predict the burden of OC incidence and mortality rates for the 2015–2030 period. Incidence and mortality rates of ovarian cancer are expected to decline in Catalonia by 2030 in women ≥ 45 years of age. A decrease in ovarian-cancer risk was observed with increasing year of birth, with a rebound in women born in the 1980s. A decrease in mortality was observed for the period of diagnosis and period of death. Nevertheless, ovarian-cancer mortality remains higher among older women compared to other age groups. Our study summarizes the most plausible scenario for ovarian-cancer changes in terms of incidence and mortality in Catalonia by 2030, which may be of interest from a public health perspective for policy implementation.
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spelling pubmed-88347722022-02-12 Predicting Ovarian-Cancer Burden in Catalonia by 2030: An Age–Period–Cohort Modelling Peremiquel-Trillas, Paula Frias-Gomez, Jon Alemany, Laia Ameijide, Alberto Vilardell, Mireia Marcos-Gragera, Rafael Paytubi, Sònia Ponce, Jordi Martínez, José Manuel Pineda, Marta Brunet, Joan Matías-Guiu, Xavier Carulla, Marià Galceran, Jaume Izquierdo, Ángel Borràs, Josep M. Costas, Laura Clèries, Ramon Int J Environ Res Public Health Article Ovarian cancer is the most lethal gynaecological cancer in very-high-human-development-index regions. Ovarian cancer incidence and mortality rates are estimated to globally rise by 2035, although incidence and mortality rates depend on the region and prevalence of the associated risk factors. The aim of this study is to assess changes in incidence and mortality of ovarian cancer in Catalonia by 2030. Bayesian autoregressive age–period–cohort models were used to predict the burden of OC incidence and mortality rates for the 2015–2030 period. Incidence and mortality rates of ovarian cancer are expected to decline in Catalonia by 2030 in women ≥ 45 years of age. A decrease in ovarian-cancer risk was observed with increasing year of birth, with a rebound in women born in the 1980s. A decrease in mortality was observed for the period of diagnosis and period of death. Nevertheless, ovarian-cancer mortality remains higher among older women compared to other age groups. Our study summarizes the most plausible scenario for ovarian-cancer changes in terms of incidence and mortality in Catalonia by 2030, which may be of interest from a public health perspective for policy implementation. MDPI 2022-01-27 /pmc/articles/PMC8834772/ /pubmed/35162436 http://dx.doi.org/10.3390/ijerph19031404 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Peremiquel-Trillas, Paula
Frias-Gomez, Jon
Alemany, Laia
Ameijide, Alberto
Vilardell, Mireia
Marcos-Gragera, Rafael
Paytubi, Sònia
Ponce, Jordi
Martínez, José Manuel
Pineda, Marta
Brunet, Joan
Matías-Guiu, Xavier
Carulla, Marià
Galceran, Jaume
Izquierdo, Ángel
Borràs, Josep M.
Costas, Laura
Clèries, Ramon
Predicting Ovarian-Cancer Burden in Catalonia by 2030: An Age–Period–Cohort Modelling
title Predicting Ovarian-Cancer Burden in Catalonia by 2030: An Age–Period–Cohort Modelling
title_full Predicting Ovarian-Cancer Burden in Catalonia by 2030: An Age–Period–Cohort Modelling
title_fullStr Predicting Ovarian-Cancer Burden in Catalonia by 2030: An Age–Period–Cohort Modelling
title_full_unstemmed Predicting Ovarian-Cancer Burden in Catalonia by 2030: An Age–Period–Cohort Modelling
title_short Predicting Ovarian-Cancer Burden in Catalonia by 2030: An Age–Period–Cohort Modelling
title_sort predicting ovarian-cancer burden in catalonia by 2030: an age–period–cohort modelling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8834772/
https://www.ncbi.nlm.nih.gov/pubmed/35162436
http://dx.doi.org/10.3390/ijerph19031404
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