Cost-utility analyses of later-line treatments for metastatic colorectal cancer (mCRC) by network meta-analysis (NMA) approach: Conventional constant hazard ratio vs novel survival curves methodologies.

Authors

null

Mavis Obeng-Kusi

The University of Arizona, Tucson, AZ

Mavis Obeng-Kusi , Brian L Erstad , Denise Roe , Ivo Abraham

Organizations

The University of Arizona, Tucson, AZ, University of Arizona, Tucson, AZ, University of Arizona Cancer Center, Tucson, AZ, University of Arizona of Pharmacy, Department of Pharmacy Practice and Science, Tucson, AZ

Research Funding

No funding received
None.

Background: Cost-utility analyses of later-line treatments for metastatic colorectal cancer (mCRC) differ based on network meta-analysis (NMA) approach: conventional constant hazard ratio vs novel survival curves methodologies. Methods: We conducted a CUA estimating the incremental cost utility ratio (ICUR) over a 5-year time horizon from the US payer perspective. The 3-state partitioned survival models included efficacy inputs from a novel one-step multivariate NMA of progression-free and overall survival curves and from a conventional constant hazard ratio NMA. Utilities, as well as drug acquisition, administration, adverse event, monitoring and end of life costs were sourced from literature. We compared results and examined statistical factors in either approach that may explain the observed results. Results: The multivariate NMA produced lower estimates of survival benefits over placebo compared to the NMA based on constant hazard ratios, at the same incremental costs (Table). This reduction in incremental benefits led to higher estimates of cost-effectiveness and cost-utility when using the multivariate NMA. Probabilistic sensitivity analyses showed greater uncertainty in the model based on the constant hazard NMA. Conclusions: The multivariate NMA produced lower estimates of survival benefits over placebo compared to the NMA based on constant hazard ratios, at the same incremental costs (Table). This reduction in incremental benefits led to higher estimates of cost-effectiveness and cost-utility when using the multivariate NMA. Probabilistic sensitivity analyses showed greater uncertainty in the model based on the constant hazard NMA.

Comparative results.

RegimenMultivariate NMAConstant HRs NMA% change in results (multivariate NMA vs constant HRs NMA)
QALYCost ($)ICURQALYCost ($)ICURQALYCost ($)ICUR
PBO0.44278,876-0.46277,507--50-
ATE0.50316,170701,3810.56316,173358,728-12049
ATE+COB0.57342,976507,0250.67339,491292,024-18142
FRU0.62355,795437,4550.72362,299319,029-16-227
REG0.61353,603439,7910.67354,669354,740-10019
TAS0.58333,999387,5810.66326,927239,790-14238
TAS+BEV0.85417,495343,4571.18418,113195,693-39043

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Abstract Details

Meeting

2023 ASCO Annual Meeting

Session Type

Publication Only

Session Title

Publication Only: Health Services Research and Quality Improvement

Track

Quality Care/Health Services Research

Sub Track

Value/Cost of Care

Citation

J Clin Oncol 41, 2023 (suppl 16; abstr e18928)

DOI

10.1200/JCO.2023.41.16_suppl.e18928

Abstract #

e18928

Abstract Disclosures