Introduction Anaplastic lymphoma kinase (ALK) rearrangement gene testing is used increasingly to identify patients with advanced non-small-cell lung cancer (NSCLC) who are most likely to benefit from crizotinib. This study was to evaluate the cost-effectiveness of the ALK tests followed by crizotinib compared to the standard chemotherapy in advanced NSCLC from the Chinese healthcare system perspective. Methods A 10-year Markov model was constructed to compare the costs and quality-adjusted lifeyears (QALYs) of crizotinib with standard chemotherapy, guided by the ALK rearrangement tests: next-generation sequencing (NGS) panel tests and multiplex polymerase chain reaction (PCR) testing. The health states included progression-free survival (PFS), progressed survival, and death. The costs examined included cost of drugs (pemetrexed, standard chemotherapy, salvage chemotherapy, and crizotinib), follow-up, palliative care, supportive care, severe adverse events, and ALK rearrangement testing. Results Under Patient Assistance Program (PAP), the model demonstrated that the patients using NGS panel tests spent US $31,388 and gained 0.780 QALYs, whereas patients using multiplex PCR spent US $31,362 and gained 0.780 QALYs, respectively. The incremental costeffectiveness ratios of crizotinib with PAP compared to the control strategy were projected at $14,384 (NGS) and $13,740 (multiplex PCR) per QALY gained, respectively. Sensitivity analyses showed the utility of PFS and the costs of crizotinib and pemetrexed were the most impactful factors on the model outcomes. The results were robust to changes in all parameters. Conclusion ALK-rearrangement test positive followed by crizotinib may be cost-effective compared to standard chemotherapy from the Chinese healthcare system perspective when PAP was available.
CITATION STYLE
Lu, S., Yu, Y., Fu, S., & Ren, H. (2018). Cost-effectiveness of ALK testing and first-line crizotinib therapy for non-small-cell lung cancer in China. PLoS ONE, 13(10). https://doi.org/10.1371/journal.pone.0205827
Mendeley helps you to discover research relevant for your work.