Cost-effectiveness analysis of colon cancer treatments from MOSIAC and No. 16968 trials

来自MOSIAC和16968号试验的结肠癌治疗成本效益分析

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Abstract

AIM: To compare XELOX and FOLFOX4 as colon cancer adjuvant chemotherapy based on MOSAIC and No. 16968 trails from Chinese cost-effectiveness perspective. METHODS: A decision-analytic Markov model was developed to compare the FOLFOX4 and XELOX regimens based MOSAIC and No. 16968 trial. Five states were included in our Markov model: well (state 1), minor toxicity (state 2), major toxicity (state 3), quitting adjuvant chemotherapy (state 4), and death due to adjuvant chemotherapy (state 5). Transitions among the 5 states were assumed to be Markovian. Costs were calculated from the perspective of the Chinese health-care payer. The utility data were taken from published studies. Sensitivity analyses were used to explore the impact of uncertainty factors in this cost-effectiveness analysis. RESULTS: Total direct costs of FOLFOX4 and XELOX per patient were $19884.96 ± 4280.30 and $18113.25 ± 3122.20, respectively. The total fees related to adverse events per patient during the entire treatment were $204.75 ± 16.80 for the XELOX group, and $873.72 ± 27.60 for the FOLFOX4 group, and the costs for travel and absenteeism per patient were $18495.00 for the XELOX group and $21,352.68 for the FOLFOX4 group. The base-case analysis showed that FOLFOX4 was estimated to produce an additional 0.06 in quality adjusted life years (QALYs) at an additional cost of $3950.47 when compared to the XELOX regimen over the model time horizon. The cost per QALY gained was $8047.30 in the XELOX group, which was $900.98 less than in the FOLFOX4 group ($8948.28). The one way sensitivity analysis demonstrated that the utility for the well state and minor toxicity state greatly influenced the incremental cost-effectiveness ratio of FOLFOX4. CONCLUSION: In term of cost-comparison, XELOX is expected to dominate FOLFOX4 regimes; Therefore, XELOX provides a more cost-effective adjuvant chemotherapy for colon cancer patients in China.

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