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Individual risk profiling for breast cancer recurrence: towards tailored follow-up schemes
BACKGROUND: Breast cancer follow-up is not tailored to the risk of locoregional recurrences (LRRs) in individual patients or as a function of time. The objective of this study was to identify prognostic factors and to estimate individual and time-dependent LRR risk rates. METHODS: Prognostic factors...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3749573/ https://www.ncbi.nlm.nih.gov/pubmed/23860534 http://dx.doi.org/10.1038/bjc.2013.401 |
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author | Kraeima, J Siesling, S Vliegen, I M H Klaase, J M IJzerman, M J |
author_facet | Kraeima, J Siesling, S Vliegen, I M H Klaase, J M IJzerman, M J |
author_sort | Kraeima, J |
collection | PubMed |
description | BACKGROUND: Breast cancer follow-up is not tailored to the risk of locoregional recurrences (LRRs) in individual patients or as a function of time. The objective of this study was to identify prognostic factors and to estimate individual and time-dependent LRR risk rates. METHODS: Prognostic factors for LRR were identified by a scoping literature review, expert consultation, and stepwise multivariate regression analysis based on 5 years of data from women diagnosed with breast cancer in the Netherlands in 2005 or 2006 (n=17 762). Inter-patient variability was elucidated by examples of 5-year risk profiles of average-, medium-, and high-risk patients, whereby 6-month interval risks were derived from regression estimates. RESULTS: Eight prognostic factors were identified: age, tumour size, multifocality, gradation, adjuvant chemo-, adjuvant radiation-, hormonal therapy, and triple-negative receptor status. Risk profiles of the low-, average-, and high-risk example patients showed non-uniform distribution of recurrence risks (2.9, 7.6, and 9.2%, respectively, over a 5-year period). CONCLUSION: Individual risk profiles differ substantially in subgroups of patients defined by prognostic factors for recurrence and over time as defined in 6-month time intervals. To tailor follow-up schedules and to optimise allocation of scarce resources, risk factors, frequency, and duration of follow-up should be taken into account. |
format | Online Article Text |
id | pubmed-3749573 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-37495732014-08-20 Individual risk profiling for breast cancer recurrence: towards tailored follow-up schemes Kraeima, J Siesling, S Vliegen, I M H Klaase, J M IJzerman, M J Br J Cancer Clinical Study BACKGROUND: Breast cancer follow-up is not tailored to the risk of locoregional recurrences (LRRs) in individual patients or as a function of time. The objective of this study was to identify prognostic factors and to estimate individual and time-dependent LRR risk rates. METHODS: Prognostic factors for LRR were identified by a scoping literature review, expert consultation, and stepwise multivariate regression analysis based on 5 years of data from women diagnosed with breast cancer in the Netherlands in 2005 or 2006 (n=17 762). Inter-patient variability was elucidated by examples of 5-year risk profiles of average-, medium-, and high-risk patients, whereby 6-month interval risks were derived from regression estimates. RESULTS: Eight prognostic factors were identified: age, tumour size, multifocality, gradation, adjuvant chemo-, adjuvant radiation-, hormonal therapy, and triple-negative receptor status. Risk profiles of the low-, average-, and high-risk example patients showed non-uniform distribution of recurrence risks (2.9, 7.6, and 9.2%, respectively, over a 5-year period). CONCLUSION: Individual risk profiles differ substantially in subgroups of patients defined by prognostic factors for recurrence and over time as defined in 6-month time intervals. To tailor follow-up schedules and to optimise allocation of scarce resources, risk factors, frequency, and duration of follow-up should be taken into account. Nature Publishing Group 2013-08-20 2013-07-16 /pmc/articles/PMC3749573/ /pubmed/23860534 http://dx.doi.org/10.1038/bjc.2013.401 Text en Copyright © 2013 Cancer Research UK http://creativecommons.org/licenses/by-nc-sa/3.0/ From twelve months after its original publication, this work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/ |
spellingShingle | Clinical Study Kraeima, J Siesling, S Vliegen, I M H Klaase, J M IJzerman, M J Individual risk profiling for breast cancer recurrence: towards tailored follow-up schemes |
title | Individual risk profiling for breast cancer recurrence: towards tailored follow-up schemes |
title_full | Individual risk profiling for breast cancer recurrence: towards tailored follow-up schemes |
title_fullStr | Individual risk profiling for breast cancer recurrence: towards tailored follow-up schemes |
title_full_unstemmed | Individual risk profiling for breast cancer recurrence: towards tailored follow-up schemes |
title_short | Individual risk profiling for breast cancer recurrence: towards tailored follow-up schemes |
title_sort | individual risk profiling for breast cancer recurrence: towards tailored follow-up schemes |
topic | Clinical Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3749573/ https://www.ncbi.nlm.nih.gov/pubmed/23860534 http://dx.doi.org/10.1038/bjc.2013.401 |
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