We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Sensitivity to input variability of the Adjuvant! Online breast cancer prognostic model.
- Authors
Ozanne, Elissa M; Braithwaite, Dejana; Sepucha, Karen; Moore, Dan; Esserman, Laura; Belkora, Jeffrey
- Abstract
Adjuvant! Online (www.adjuvantonline.org) is a software model that predicts the benefit of adjuvant therapy for women with early-stage breast cancer. The model has been validated, is widely consulted, and has been shown to influence patient choices in the clinical setting. Adjuvant! requires the clinician to input patient age, tumor size, grade, hormone receptor status, number of positive lymph nodes, and comorbidity level. Because comorbidity is strongly and independently associated with survival, this study tested the hypothesis that Adjuvant! predictions would be sensitive to comorbidity inputs.
- Publication
Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2009, Vol 27, Issue 2, p214
- ISSN
1527-7755
- Publication type
Journal Article
- DOI
10.1200/JCO.2008.17.3914