Cost-effectiveness analysis of ramucirumab treatment for patients with hepatocellular carcinoma who progressed on sorafenib with α-fetoprotein concentrations of at least 400 ng/ml.

Hanrui Zheng, Zhou Qin, Xingjian Qiu, Mei Zhan, Feng Wen, Ting Xu

Journal: Journal of medical economics 2021;23(4):347-352

PMID: 31856618

Abstract

This study aimed to compare the cost-effectiveness of ramucirumab versus placebo for patients with hepatocellular carcinoma who progressed on sorafenib with α-fetoprotein concentrations (AFP) of at least 400 ng/ml in the United States. A Markov model was constructed to assess the cost-effectiveness of ramucirumab. Health outcomes were measured as quality-adjusted life years (QALYs). With TreeAge software, the disease process was modeled as three health states: progression-free survival (PFS), progressive disease (PD), and death. Costs were extracted from the REACH-2 trial, and utility was derived from published literature. Incremental cost-effectiveness ratios (ICERs) were calculated to compare ramucirumab with placebo. Probabilistic sensitivity analyses were developed to examine the robustness of the results. In the base case analysis, ramucirumab therapy had a cost of $55,508.41 and generated 0.54 QALYs, while placebo therapy had a cost of $761.09 and generated 0.47 QALYs, leading to an additional $54,747.32 in costs and 0.07 QALYs. The ICER was $782,104.57 per QALY, which was much higher than the willingness-to-pay threshold of $100,000 per QALY. According to sensitivity analyses, the utility of PD in the two groups was the dominant parameter influencing the ICER. Although ramucirumab was associated with prolonged survival for patients with advanced hepatocellular carcinoma who progressed on sorafenib treatment with an AFP of at least 400 ng/ml, it is not a cost-effective treatment from a United States payer perspective.

Address: Department of Clinical Pharmacy, West China Hospital, Sichuan University, Chengdu, China.; Shishi High School, Chengdu, China.; Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.; West China Biomedical Big Data Center, Sichuan University, Chengdu, China.

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