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Oncology

Cost-effectiveness of denosumab versus zoledronic acid for preventing skeletal-related events in the Czech Republic

, , , , , , , & show all
Pages 799-812 | Received 01 Mar 2017, Accepted 27 Apr 2017, Published online: 07 Jun 2017

Figures & data

Table 1. Inputs into the cost-effectiveness model: base case.

Table 2. Base case analysis: costs, outcomes, and cost-effectiveness of denosumab vs zoledronic acid in patients with prostate cancer, breast cancer, or other solid tumors.

Table 3. Scenario analyses: effect of varying discount rate, time horizon, SRE rate, discontinuation of treatment, and asymptomatic SREs on the cost-effectiveness of denosumab vs zoledronic acid.

Figure 1. Tornado diagram for (a) prostate cancer, (b) breast cancer, and (c) other solid tumors. CZK: Czech Republic Koruna; ICER: incremental cost-effectiveness ratio; IV: intravenous; ONJ: osteonecrosis of the jaw; QALY: quality-adjusted life-year; SC: subcutaneous; SRE: skeletal-related event.

Figure 1. Tornado diagram for (a) prostate cancer, (b) breast cancer, and (c) other solid tumors. CZK: Czech Republic Koruna; ICER: incremental cost-effectiveness ratio; IV: intravenous; ONJ: osteonecrosis of the jaw; QALY: quality-adjusted life-year; SC: subcutaneous; SRE: skeletal-related event.

Figure 2. Cost-effectiveness acceptability curves for (a) prostate cancer, (b) breast cancer, and (c) other solid tumors. CZK: Czech Republic Koruna; QALY: quality-adjusted life-year.

Figure 2. Cost-effectiveness acceptability curves for (a) prostate cancer, (b) breast cancer, and (c) other solid tumors. CZK: Czech Republic Koruna; QALY: quality-adjusted life-year.

Table A1. Prostate cancer probabilistic inputs.

Table A2. Breast cancer probabilistic inputs.

Table A3. Other solid tumors probabilistic inputs.

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