Blank PR, Filipits M, Dubsky P, Gutzwiller F, Lux MP, Brase JC, Weber KE, Rudas M, Greil R, Loibl S, Szucs TD, Kronenwett R, Schwenkglenks M, Gnant M (2015)
Publication Type: Journal article
Publication year: 2015
Book Volume: 33
Pages Range: 179-90
Journal Issue: 2
DOI: 10.1007/s40273-014-0227-x
The individual risk of recurrence in hormone receptor-positive primary breast cancer patients determines whether adjuvant endocrine therapy should be combined with chemotherapy. Clinicopathological parameters and molecular tests such as EndoPredict(®) (EPclin) can support decision making in patients with estrogen receptor-positive, human epidermal growth factor receptor 2 (HER2)-negative cancer.Using a life-long Markov state transition model, we determined the health economic impact and incremental cost effectiveness of EPclin-based risk stratification in combination with clinical guidelines [German-S3, National Comprehensive Cancer Center Network (NCCN), and St. Gallen] to decide on chemotherapy use.Information on overall and metastasis-free survival came from Austrian Breast & Colorectal Cancer Study Group clinical trials 6/8 (n = 1,619) and published literature. Effectiveness was assessed as quality-adjusted life-years (QALYs). Costs (2010) were assessed from a German third-party payer perspective.Lifetime costs per patient ranged from
APA:
Blank, P.R., Filipits, M., Dubsky, P., Gutzwiller, F., Lux, M.P., Brase, J.C.,... Gnant, M. (2015). Cost-effectiveness analysis of prognostic gene expression signature-based stratification of early breast cancer patients. Pharmacoeconomics, 33(2), 179-90. https://doi.org/10.1007/s40273-014-0227-x
MLA:
Blank, Patricia R., et al. "Cost-effectiveness analysis of prognostic gene expression signature-based stratification of early breast cancer patients." Pharmacoeconomics 33.2 (2015): 179-90.
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