Cargando…
Prediction of higher mortality reduction for the UK Breast Screening Frequency Trial: a model-based approach on screening intervals
BACKGROUND: The optimal interval between two consecutive mammograms is uncertain. The UK Frequency Trial did not show a significant difference in breast cancer mortality between screening every year (study group) and screening every 3 years (control group). In this study, the trial is simulated in o...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3185930/ https://www.ncbi.nlm.nih.gov/pubmed/21863031 http://dx.doi.org/10.1038/bjc.2011.300 |
_version_ | 1782213277707665408 |
---|---|
author | van Ravesteyn, N T Heijnsdijk, E A M Draisma, G de Koning, H J |
author_facet | van Ravesteyn, N T Heijnsdijk, E A M Draisma, G de Koning, H J |
author_sort | van Ravesteyn, N T |
collection | PubMed |
description | BACKGROUND: The optimal interval between two consecutive mammograms is uncertain. The UK Frequency Trial did not show a significant difference in breast cancer mortality between screening every year (study group) and screening every 3 years (control group). In this study, the trial is simulated in order to gain insight into the results of the trial and to predict the effect of different screening intervals on breast cancer mortality. METHODS: UK incidence, life tables and information from the trial were used in the microsimulation model MISCAN–Fadia to simulate the trial and predict the number of breast cancer deaths in each group. To be able to replicate the trial, a relatively low sensitivity had to be assumed. RESULTS: The model simulated a larger difference in tumour size distribution between the two groups than observed and a relative risk (RR) of 0.83 of dying from breast cancer in the study group compared with the control group. The predicted RR is lower than that reported from the trial (RR 0.93), but within its 95% confidence interval (0.63–1.37). CONCLUSION: The present study suggests that there is benefit of shortening the screening interval, although the benefit is probably not large enough to start annual screening. |
format | Online Article Text |
id | pubmed-3185930 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-31859302012-09-27 Prediction of higher mortality reduction for the UK Breast Screening Frequency Trial: a model-based approach on screening intervals van Ravesteyn, N T Heijnsdijk, E A M Draisma, G de Koning, H J Br J Cancer Epidemiology BACKGROUND: The optimal interval between two consecutive mammograms is uncertain. The UK Frequency Trial did not show a significant difference in breast cancer mortality between screening every year (study group) and screening every 3 years (control group). In this study, the trial is simulated in order to gain insight into the results of the trial and to predict the effect of different screening intervals on breast cancer mortality. METHODS: UK incidence, life tables and information from the trial were used in the microsimulation model MISCAN–Fadia to simulate the trial and predict the number of breast cancer deaths in each group. To be able to replicate the trial, a relatively low sensitivity had to be assumed. RESULTS: The model simulated a larger difference in tumour size distribution between the two groups than observed and a relative risk (RR) of 0.83 of dying from breast cancer in the study group compared with the control group. The predicted RR is lower than that reported from the trial (RR 0.93), but within its 95% confidence interval (0.63–1.37). CONCLUSION: The present study suggests that there is benefit of shortening the screening interval, although the benefit is probably not large enough to start annual screening. Nature Publishing Group 2011-09-27 2011-08-23 /pmc/articles/PMC3185930/ /pubmed/21863031 http://dx.doi.org/10.1038/bjc.2011.300 Text en Copyright © 2011 Cancer Research UK https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material.If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Epidemiology van Ravesteyn, N T Heijnsdijk, E A M Draisma, G de Koning, H J Prediction of higher mortality reduction for the UK Breast Screening Frequency Trial: a model-based approach on screening intervals |
title | Prediction of higher mortality reduction for the UK Breast Screening Frequency Trial: a model-based approach on screening intervals |
title_full | Prediction of higher mortality reduction for the UK Breast Screening Frequency Trial: a model-based approach on screening intervals |
title_fullStr | Prediction of higher mortality reduction for the UK Breast Screening Frequency Trial: a model-based approach on screening intervals |
title_full_unstemmed | Prediction of higher mortality reduction for the UK Breast Screening Frequency Trial: a model-based approach on screening intervals |
title_short | Prediction of higher mortality reduction for the UK Breast Screening Frequency Trial: a model-based approach on screening intervals |
title_sort | prediction of higher mortality reduction for the uk breast screening frequency trial: a model-based approach on screening intervals |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3185930/ https://www.ncbi.nlm.nih.gov/pubmed/21863031 http://dx.doi.org/10.1038/bjc.2011.300 |
work_keys_str_mv | AT vanravesteynnt predictionofhighermortalityreductionfortheukbreastscreeningfrequencytrialamodelbasedapproachonscreeningintervals AT heijnsdijkeam predictionofhighermortalityreductionfortheukbreastscreeningfrequencytrialamodelbasedapproachonscreeningintervals AT draismag predictionofhighermortalityreductionfortheukbreastscreeningfrequencytrialamodelbasedapproachonscreeningintervals AT dekoninghj predictionofhighermortalityreductionfortheukbreastscreeningfrequencytrialamodelbasedapproachonscreeningintervals |