Cargando…

Flexible transition probability model for assessing cost-effectiveness of breast cancer screening extension to include women aged 45-49 and 70-74

Breast cancer is the most common cancer among Western women. Fortunately, organized screening has reduced breast cancer mortality. New recommendation by the European Union suggests extending screening with mammography from 50–69-year-old women to 45–74-year-old women. However, before extending scree...

Descripción completa

Detalles Bibliográficos
Autores principales: Shafik, Nourhan, Ilmonen, Pauliina, Viitasaari, Lauri, Sarkeala, Tytti, Heinävaara, Sirpa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289416/
https://www.ncbi.nlm.nih.gov/pubmed/37352191
http://dx.doi.org/10.1371/journal.pone.0287486
_version_ 1785062273346174976
author Shafik, Nourhan
Ilmonen, Pauliina
Viitasaari, Lauri
Sarkeala, Tytti
Heinävaara, Sirpa
author_facet Shafik, Nourhan
Ilmonen, Pauliina
Viitasaari, Lauri
Sarkeala, Tytti
Heinävaara, Sirpa
author_sort Shafik, Nourhan
collection PubMed
description Breast cancer is the most common cancer among Western women. Fortunately, organized screening has reduced breast cancer mortality. New recommendation by the European Union suggests extending screening with mammography from 50–69-year-old women to 45–74-year-old women. However, before extending screening to new age groups, it’s essential to carefully consider the benefits and costs locally as circumstances vary between different regions and/or countries. We propose a new approach to assess cost-effectiveness of breast cancer screening for a long-ongoing program with incomplete historical screening data. The new model is called flexible stage distribution model. It is based on estimating the breast cancer incidence and stage distributions of breast cancer cases under different screening strategies. The model parameters, for each considered age group, include incidence rates under screening/non-screening, probability distribution among different stages, survival by stages, and treatment costs. Out of these parameters, we use the available data to estimate survival rates and treatment costs, while the modelling is done for incidence rates and stage distributions under screening policies for which the data is not available. In the model, an ongoing screening strategy may be used as a baseline and other screening strategies may be incorporated by changes in the incidence rates. The model is flexible, as it enables to apply different approaches for estimating the altered stage distributions. We apply the proposed flexible stage distribution model for assessing incremental cost of extending the current biennial breast cancer screening to younger and older target ages in Finland.
format Online
Article
Text
id pubmed-10289416
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-102894162023-06-24 Flexible transition probability model for assessing cost-effectiveness of breast cancer screening extension to include women aged 45-49 and 70-74 Shafik, Nourhan Ilmonen, Pauliina Viitasaari, Lauri Sarkeala, Tytti Heinävaara, Sirpa PLoS One Research Article Breast cancer is the most common cancer among Western women. Fortunately, organized screening has reduced breast cancer mortality. New recommendation by the European Union suggests extending screening with mammography from 50–69-year-old women to 45–74-year-old women. However, before extending screening to new age groups, it’s essential to carefully consider the benefits and costs locally as circumstances vary between different regions and/or countries. We propose a new approach to assess cost-effectiveness of breast cancer screening for a long-ongoing program with incomplete historical screening data. The new model is called flexible stage distribution model. It is based on estimating the breast cancer incidence and stage distributions of breast cancer cases under different screening strategies. The model parameters, for each considered age group, include incidence rates under screening/non-screening, probability distribution among different stages, survival by stages, and treatment costs. Out of these parameters, we use the available data to estimate survival rates and treatment costs, while the modelling is done for incidence rates and stage distributions under screening policies for which the data is not available. In the model, an ongoing screening strategy may be used as a baseline and other screening strategies may be incorporated by changes in the incidence rates. The model is flexible, as it enables to apply different approaches for estimating the altered stage distributions. We apply the proposed flexible stage distribution model for assessing incremental cost of extending the current biennial breast cancer screening to younger and older target ages in Finland. Public Library of Science 2023-06-23 /pmc/articles/PMC10289416/ /pubmed/37352191 http://dx.doi.org/10.1371/journal.pone.0287486 Text en © 2023 Shafik et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Shafik, Nourhan
Ilmonen, Pauliina
Viitasaari, Lauri
Sarkeala, Tytti
Heinävaara, Sirpa
Flexible transition probability model for assessing cost-effectiveness of breast cancer screening extension to include women aged 45-49 and 70-74
title Flexible transition probability model for assessing cost-effectiveness of breast cancer screening extension to include women aged 45-49 and 70-74
title_full Flexible transition probability model for assessing cost-effectiveness of breast cancer screening extension to include women aged 45-49 and 70-74
title_fullStr Flexible transition probability model for assessing cost-effectiveness of breast cancer screening extension to include women aged 45-49 and 70-74
title_full_unstemmed Flexible transition probability model for assessing cost-effectiveness of breast cancer screening extension to include women aged 45-49 and 70-74
title_short Flexible transition probability model for assessing cost-effectiveness of breast cancer screening extension to include women aged 45-49 and 70-74
title_sort flexible transition probability model for assessing cost-effectiveness of breast cancer screening extension to include women aged 45-49 and 70-74
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289416/
https://www.ncbi.nlm.nih.gov/pubmed/37352191
http://dx.doi.org/10.1371/journal.pone.0287486
work_keys_str_mv AT shafiknourhan flexibletransitionprobabilitymodelforassessingcosteffectivenessofbreastcancerscreeningextensiontoincludewomenaged4549and7074
AT ilmonenpauliina flexibletransitionprobabilitymodelforassessingcosteffectivenessofbreastcancerscreeningextensiontoincludewomenaged4549and7074
AT viitasaarilauri flexibletransitionprobabilitymodelforassessingcosteffectivenessofbreastcancerscreeningextensiontoincludewomenaged4549and7074
AT sarkealatytti flexibletransitionprobabilitymodelforassessingcosteffectivenessofbreastcancerscreeningextensiontoincludewomenaged4549and7074
AT heinavaarasirpa flexibletransitionprobabilitymodelforassessingcosteffectivenessofbreastcancerscreeningextensiontoincludewomenaged4549and7074