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Women's Health

Cost-effectiveness of denosumab for high-risk postmenopausal women with osteoporosis in Thailand

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Pages 776-785 | Received 15 Oct 2019, Accepted 11 Feb 2020, Published online: 28 Feb 2020

Figures & data

Figure 1. Structure of Markov cohort model.

Figure 1. Structure of Markov cohort model.

Table 1. Fracture incidence per patient-year in Thailand.

Table 2. Summary of costs.

Table 3. Summary of utility estimates.

Table 4. Treatment efficacy: relative risk of fracture (treatment versus placebo).

Table 5. Treatment persistence estimates.

Table 6. Costs and fracture results for base-case modela.

Table 7. Costs and fracture results for scenario model: total PMO populationa.

Table 8. Incremental cost-effectiveness estimate.

Figure 2. Probabilistic sensitivity analysis: (a) denosumab vs. alendronate and no pharmacologic treatment in high-risk patients: (b) denosumab vs. no pharmacologic treatment in high-risk patients. Abbreviation. WTP: willingness to pay. Postmenopausal women age ≥ 65 years with a femoral neck T-score of ≤−2.5 and history of vertebral fracture.

Figure 2. Probabilistic sensitivity analysis: (a) denosumab vs. alendronate and no pharmacologic treatment in high-risk patients: (b) denosumab vs. no pharmacologic treatment in high-risk patients. Abbreviation. WTP: willingness to pay. Postmenopausal women age ≥ 65 years with a femoral neck T-score of ≤−2.5 and history of vertebral fracture.

Figure 3. One-way sensitivity analysis: (a) denosumab vs. no pharmacological treatment in high-risk patients: (b) denosumab vs. alendronate in high-risk patients.

Figure 3. One-way sensitivity analysis: (a) denosumab vs. no pharmacological treatment in high-risk patients: (b) denosumab vs. alendronate in high-risk patients.
Supplemental material

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