BACKGROUND AND OBJECTIVE: Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related death worldwide, especially in China. According to the 2021 Chinese Society of Clinical Oncology guidelines, sorafenib, lenvatinib, atezolizumab combined with bevacizumab, and sintilimab combined with bevacizumab are recommended as first-line treatment options for advanced HCC. This study provides a cost-effectiveness analysis of these treatments from the patient perspective.
METHODS: A partitioned survival model was established using the TreeAge 2019 software to evaluate the cost-effectiveness. The model includes three states, namely progression-free survival, progressive disease, and death. Clinical data were derived from three randomized controlled studies involving patients with advanced HCC who received the following treatment: sorafenib and lenvatinib (NCT01761266); atezolizumab in combination with bevacizumab (NCT03434379); and sintilimab in combination with bevacizumab (NCT03794440). Cost and clinical preference data were obtained from the literature and interviews with clinicians.
RESULTS: All compared with sorafenib therapy, lenvatinib had an incremental cost-effectiveness ratio (ICER) of US$188,625.25 per quality-adjusted life year (QALY) gained; sintilimab plus bevacizumab had an ICER of US$75,150.32 per QALY gained; and atezolizumab plus bevacizumab had an ICER of US$144,513.71 per QALY gained. The probabilistic sensitivity analysis indicated that treatment with sorafenib achieved a 100% probability of cost-effectiveness at a threshold of US$36,600/QALY. One-way sensitivity analysis revealed that the results were most sensitive to the medical insurance reimbursement ratio and drug prices.
CONCLUSIONS: In this economic evaluation, therapy with lenvatinib, sintilimab plus bevacizumab, and atezolizumab plus bevacizumab generated incremental QALYs compared with sorafenib; however, these regimens were not cost-effective at a willingness-to-pay threshold of US$36,600 per QALY. Therefore, some patients may achieve preferred economic outcomes from these three therapies by tailoring the regimen based on individual patient factors.
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