| Title |
Cost effectiveness of personalized treatment in women with early breast cancer: the application of OncotypeDX and Adjuvant! Online to guide adjuvant chemotherapy in Austria
|
|---|---|
| Published in |
SpringerPlus, December 2015
|
| DOI | 10.1186/s40064-015-1440-6 |
| Pubmed ID | |
| Authors |
B. Jahn, U. Rochau, C. Kurzthaler, M. Hubalek, R. Miksad, G. Sroczynski, M. Paulden, M. Kluibenschädl, M. Krahn, U. Siebert |
| Abstract |
A Breast Cancer Outcomes model was developed at the ONCOTYROL research center to evaluate personalized test-treatment strategies in Austria. The goal was to evaluate the cost-effectiveness of a new 21-gene assay (ODX) when used in conjunction with the Adjuvant! Online (AO) decision aid to support personalized decisions about use of adjuvant chemotherapy in early-stage breast cancer patients in Austria. We applied a validated discrete-event-simulation model to a hypothetical cohort of 50 years old women over a lifetime horizon. The test-treatment strategies of interest were defined using three-letter acronyms. The first (second, third) letter indicates whether patients with a low (intermediate, high) risk according to AO were tested using ODX (Y yes, N no). The main outcomes were life-years gained, quality-adjusted life-years (QALYs), costs and cost effectiveness. Robustness of the results was tested in sensitivity analyses. Results were compared to a Canadian analysis conducted by the Toronto Health Economics and Technology Assessment Collaborative (THETA). Five of eight strategies were dominated (i.e., more costly and less effective: NNY, NYN, YNN, YNY, YYN). The base-case analysis shows that YYY (ODX provided to all patients) is the most effective strategy and is cost effective with an incremental cost-effectiveness ratio of 15,700 EUR per QALY gained. These results are sensitive to changes in the probabilities of distant recurrence, age and costs of chemotherapy. The results of the base-case analysis were comparable to the THETA results. Based on our analyses, using ODX in addition to AO is effective and cost effective in all women in Austria. The development of future genetic tests may require alternative or additional test-treatment strategies to be evaluated. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| Netherlands | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 39 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 19% |
| Researcher | 7 | 17% |
| Student > Ph. D. Student | 4 | 10% |
| Student > Master | 4 | 10% |
| Professor | 3 | 7% |
| Other | 7 | 17% |
| Unknown | 9 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 26% |
| Economics, Econometrics and Finance | 6 | 14% |
| Engineering | 4 | 10% |
| Agricultural and Biological Sciences | 3 | 7% |
| Nursing and Health Professions | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 12 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 December 2015.
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#20,299,108
of 22,836,570 outputs
Outputs from SpringerPlus
#1,459
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Outputs of similar age
#324,856
of 387,565 outputs
Outputs of similar age from SpringerPlus
#117
of 179 outputs
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