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Published in: Breast Cancer Research 1/2005

01-05-2005 | Oral presentation

Classical versus new prognostic factors for adjuvant treatment selection based on line software to estimate risk and benefit

Author: PM Ravdin

Published in: Breast Cancer Research | Special Issue 1/2005

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Excerpt

The decision about whether to receive systemic adjuvant therapy for cancer depends on weighing the benefit (in terms of increased relapse-free or overall survival) against the cost and risk with such therapy. As the use of adjuvant therapy has been extended into node-negative breast cancer, the decisions have become less obvious because the benefit is smaller, particularly as compared with the risks associated with the therapy and nonbreast cancer mortality. Guidelines can be helpful in these situations, but a limitation of guidelines is that they usually are compendiums of expert opinion and provide little quantitative guidance. In addition, it can be difficult to state guidelines that can be patient specific when multiple parameters might be used in the decision (e.g. age, comorbidity state, actual number of nodes, tumor size, hormone receptor status, histologic grade, and additional pathologic laboratory evidence). …
Literature
1.
go back to reference Ravdin PM, Siminoff LA, Davis GJ, et al: Computer program to assist in making decisions about adjuvant therapy for women with early breast cancer. J Clin Oncol. 2001, 19: 980-991.CrossRefPubMed Ravdin PM, Siminoff LA, Davis GJ, et al: Computer program to assist in making decisions about adjuvant therapy for women with early breast cancer. J Clin Oncol. 2001, 19: 980-991.CrossRefPubMed
2.
go back to reference Whelan TJ, Loprinzi C: Physician/patient decision aids for adjuvant therapy. J Clin Oncol. 2005, 23: 1627-1630. 10.1200/JCO.2005.10.072.CrossRefPubMed Whelan TJ, Loprinzi C: Physician/patient decision aids for adjuvant therapy. J Clin Oncol. 2005, 23: 1627-1630. 10.1200/JCO.2005.10.072.CrossRefPubMed
3.
go back to reference Olivotto IA, Bajdik CD, Ravdin PM, et al: Population-based validation of the prognostic model adjuvant! for early breast cancer. J Clin Oncol. 2005. Olivotto IA, Bajdik CD, Ravdin PM, et al: Population-based validation of the prognostic model adjuvant! for early breast cancer. J Clin Oncol. 2005.
Metadata
Title
Classical versus new prognostic factors for adjuvant treatment selection based on line software to estimate risk and benefit
Author
PM Ravdin
Publication date
01-05-2005
Publisher
BioMed Central
Published in
Breast Cancer Research / Issue Special Issue 1/2005
Electronic ISSN: 1465-542X
DOI
https://doi.org/10.1186/bcr1224

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