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A Bioluminescent and Fluorescent Orthotopic Syngeneic Murine Model of Androgen-dependent and Castration-resistant Prostate Cancer
Published on: March 6, 2018
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Developing a Comprehensive Framework for Cost-Effectiveness Evaluation in Metastatic Castration-Sensitive Prostate
Christopher G Fawsitt1, Elaine Gallagher2, Alka Singh3
1Clifton Insight, Bristol, UK.
Pharmacoeconomics
|August 18, 2025
Summary
Developing a cost-effective framework for metastatic castration-sensitive prostate cancer (mCSPC) treatments is crucial. This study establishes an optimal model to guide future economic evaluations and decision-making for mCSPC.
Area of Science:
- Health Economics
- Oncology
- Health Technology Assessment
Background:
- Metastatic castration-sensitive prostate cancer (mCSPC) presents significant economic challenges, requiring cost-effective treatment strategies.
- Existing economic evaluation models for mCSPC exhibit methodological inconsistencies due to component variability.
- There is a need for an optimal framework to standardize economic evaluations and minimize structural variation in mCSPC.
Purpose of the Study:
- To review existing economic evaluations for mCSPC.
- To establish a comprehensive cost-effectiveness modelling framework for mCSPC.
- To support future economic evaluations and decision-making in mCSPC.
Main Methods:
- Conducted a systematic literature review (SLR) of economic evaluations in mCSPC.
- Reviewed Health Technology Assessments (HTAs) for critiques and limitations.
- Established a comprehensive cost-effectiveness modelling framework based on SLR and HTA findings.
- Performed additional SLRs to identify cost, resource utilization, and health state utility data.
Main Results:
- Markov models and partitioned survival models (PSMs) are prevalent in mCSPC economic evaluations.
- A novel optimal framework utilizing a semi-Markov structure is proposed for mCSPC.
- The proposed semi-Markov framework offers enhanced flexibility by allowing time-dependent transition rates.
- Key sources for cost and utility data were identified through the SLR.
Conclusions:
- The developed optimal framework aligns with methodologies recommended by the Innovative Medicine Initiative (IMI) PIONEER group.
- This framework consolidates existing modeling precedents in mCSPC.
- It will aid in the cost-effectiveness assessment of mCSPC treatments by incorporating healthcare resource utilization and utility data.
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