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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...

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Autores principales: Kraeima, J, Siesling, S, Vliegen, I M H, Klaase, J M, IJzerman, M J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2013
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.
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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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