Abstract
Background: This study aimed to examine the cost-effectiveness of one-time standard endoscopic screening with Lugol's iodine staining for esophageal cancer (EC) in China. Methods: A Markov decision analysis model with eleven states was built. Individuals aged 40 to 69 years were classified into six age groups in five-year intervals. Three different strategies were adopted for each cohort: (1) no screening; (2) one-time endoscopic screening with Lugol's iodine staining with an annual follow-up for low-grade intraepithelial neoplasia (LGIN); and (3) one-time endoscopic screening with Lugol's iodine staining without follow-up. Quality-adjusted life-years (QALYs) indicated the effectiveness of the model. The incremental cost-effectiveness ratio (ICER) was used as the evaluation indicator. Sensitivity analysis was performed to assess the robustness of the model. Results: One-time screening with follow-up was the undominated strategy for individuals aged 40-44 and 45-49 years, which saved USD 10,942.57 and USD 6611.73 per QALY gained compared to nonscreening strategy. For those aged 50-69 years, the nonscreening scenarios were undominated. One-time screening without follow-up was the extended dominated strategy. Compared to screening strategies without follow-up, all the screening strategies with follow-up were more cost-effective, with the ICER increasing from 299.57 USD/QALY for individuals aged 40-44 years to 1617.72 USD/QALY for individuals aged 65-69 years. Probabilistic sensitivity analysis (PSA) supported the results of the base case analysis. Conclusions: One-time EC screening with follow-up targeting individuals aged 40-49 years was the most cost-effective strategy.
Author supplied keywords
Cite
CITATION STYLE
Li, Y., Du, L., Wang, Y., Gu, Y., Zhen, X., Hu, X., … Dong, H. (2020). Modeling the Cost-effectiveness of Esophageal Cancer Screening in China. Cost Effectiveness and Resource Allocation, 18(1). https://doi.org/10.1186/s12962-020-00230-y
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.