2020
DOI: 10.18553/jmcp.2020.19329
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Budget Impact of Enzalutamide for Nonmetastatic Castration-Resistant Prostate Cancer

Abstract: BACKGROUND: Prostate cancer is the most common cancer and secondleading cause of cancer death among men in the United States. Prostate cancer poses a large economic burden, which increases with progression from localized to metastatic disease. Newly approved treatments for nonmetastatic castration-resistant prostate cancer (nmCRPC) delay disease progression and reduce the risk of metastatic disease. Quantifying the potential budget impact of these new treatments is of interest to health care decision makers. O… Show more

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Cited by 10 publications
(6 citation statements)
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“…This is a relevant aspect that needs to be taken into account in specific high-quality cost-effectiveness analyses based on randomized controlled trials to balance early treatment healthcare costs, benefits of delaying disease progression, treatment adverse events, and QoL. These types of analysis have the purpose to avoid unfavorable patients' outcomes and unjustified healthcare system costs considering quality-adjusted life-year gained/life-year saved [33,34].…”
Section: Discussionmentioning
confidence: 99%
“…This is a relevant aspect that needs to be taken into account in specific high-quality cost-effectiveness analyses based on randomized controlled trials to balance early treatment healthcare costs, benefits of delaying disease progression, treatment adverse events, and QoL. These types of analysis have the purpose to avoid unfavorable patients' outcomes and unjustified healthcare system costs considering quality-adjusted life-year gained/life-year saved [33,34].…”
Section: Discussionmentioning
confidence: 99%
“…One-way sensitivity analyses (OWSAs) were performed to quantify the impact in response to changes in key variables (OSM Table 9; i.e., changes in treatment persistence, number of incontinence episodes, CYP2D6-related drug-drug interactions, cost of comorbidities, and cost of AEs). OWSAs were run with an input variable set to either its low (20% decrease) or its high (20% increase) value (a range commonly used in BIMs; for a recent example, see Schultz et al [26]), while the remaining variables remained unchanged. Findings from the OWSAs are summarized in tornado diagrams in terms of the PMPM.…”
Section: Outcomes and Analysesmentioning
confidence: 99%
“…Sample data were collected from 75 oncologists and to metastatic disease each year. 15 The percentage of patients who left the population each year was not applied to the incident cases in the model year, and patients who left the target population in a given year were excluded from the starting population in the following year.…”
Section: Inputsmentioning
confidence: 99%