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Pharmacoeconomic evaluation of third-line treatment of advanced non-small cell lung cancer with anlotinib

Published on Jan. 05, 2025Total Views: 497 times Total Downloads: 76 times Download Mobile

Author: YUAN Wenjie 1 KANG Shuo 2 WANG Xiaohui 1 GONG Yuan 1 PAN Zhenhua 1

Affiliation: 1. College of Pharmacy, Hebei Medical University, Shijiazhuang 050000, China 2. Medical Insurance Office, Second Hebei Medical University Hospital, Shijiazhuang 050000, China

Keywords: Anlotinib Pharmacoeconomics Non-small cell lung cancer Cost-utility analysis

DOI: 10.12173/j.issn.2097-0942.202312097

Reference: YUAN Wenjie, KANG Shuo, WANG Xiaohui, GONG Yuan, PAN Zhenhua.Pharmacoeconomic evaluation of third-line treatment of advanced non-small cell lung cancer with anlotinib[J].Yaoxue QianYan Zazhi,2024, 28(4):639-647.DOI: 10.12173/j.issn.2097-0942.202312097. [Article in Chinese]

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Abstract

Objective  From the perspective of the Chinese health system, to evaluate the economics of using anlotinib compared to placebo in the third line treatment of advanced non-small cell lung cancer, and provide a reference for the rational clinical application of anlotinib and evidence-based medical insurance decision-making.

Methods  Using clinical trial data and relevant literature data, TreeAge Pro 2022 software was used to establish a Markov model for the treatment of advanced non-small cell lung cancer with anlotinib. The model had a 3-week cycle and a simulation time limit of 10 years. The cost and utility values were discounted using a 5% discount rate to determine the cost, life years, and quality adjusted life years (QALYs) of the two regimens, the model used the incremental cost utility ratio (ICUR) as the evaluation indicator. Using three times China's per capita GDP in 2022 (257 094 yuan/QALY) as the willingness to pay threshold (WTP) for pharmacoeconomic evaluation to determine the economic viability of the two options. Single factor sensitivity analysis and probability sensitivity analysis were conducted to determine the impact of parameter changes on the robustness of model results.

Results  After 10 years of model simulation, the cost of the anlotinib group was 79 919.41 yuan, while the total cost of the placebo group was 21 938.43 yuan. The anlotinib group could obtain 1.78 life years and 0.8 QALYs, while the placebo group could obtain 0.96 life years and 0.39 QALYs. The ICUR value of the two groups compared was 141 417.02 yuan/QALY, far lower than the willingness to pay threshold in China (257 094 yuan/QALY). The results of the single factor sensitivity analysis showed that the utility value in the state of no progress and the price of anlotinib were the most significant factors affecting the results. The probability sensitivity analysis results showed that when the threshold was 257 094 yuan/QALY, the probability of economic viability of the Anlotinib group was 100%.

Conclusion  Anlotinib is more cost-effective than placebo in the third line treatment of advanced non-small cell lung cancer patients in China.

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References

1.GBD 2017 DALYs and HALE Collaborators. Global, regional, and national disability-adjusted life-years (DALYs) for 359 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990—2017: a systematic analysis for the Global Burden of Disease Study 2017[J]. Lancet, 2018, 392(10159): 1859-1922. DOI: 10.1016/S0140-6736(18)32335-3.

2.Chen W, Zheng R, Baade PD, et al. Cancer statistics in China, 2015[J]. CA Cancer J Clin, 2016, 66(2): 115-132. DOI: 10.3322/caac.21338.

3.Zheng R, Zhang S, Zeng H, et al. Cancer incidence and mortality in China, 2016[J]. J Natl Cancer Cent, 2022, 2(1): 1-9. DOI: 10.1016/j.jncc.2022.02.002.

4.Miller KD, Siegel RL, Lin CC, et al. Cancer treatment and survivorship statistics, 2016[J]. CA Cancer J Clin, 2016, 66(4): 271-289. DOI: 10.3322/caac.21349.

5.王丽, 刘成凤, 魏丽群, 等. 非小细胞肺癌患者外周血PD-L1蛋白的表达及其对治疗效果的评估作用[J]. 贵州医科大学学报, 2021, 46(5): 584-589, 595. [Wang  L, Liu CF, Wei LQ, et al. Expression of PD-L1 protein in peripheral blood of patients with non-small cell lung cancer and its role in evaluating the therapeutic effect[J]. Journal of Guizhou Medical University, 2021, 46(5): 584-589, 595.] DOI: 10.19367/j.cnki.2096-8388.2021.05.015.

6.Syed YY. Anlotinib: first global approval[J]. Drugs, 2018, 78(10): 1057-1062. DOI: 10.1007/s40265-018-0939-x.

7.吴颖虹, 王仁杰, 胡文杰, 等. 循环肿瘤细胞在晚期非小细胞肺癌顺铂联合多西他赛化疗疗效评价和预后评估中的作用[J]. 中国老年学杂志, 2022, 42(7): 1593-1595. [Wu YH, Wang RJ, Hu WJ, et al. The role of circulating tumor cells in the efficacy evaluation and prognosis evaluation of cisplatin combined with docetaxel chemotherapy in advanced non-small cell lung cancer[J]. Chinese Journal of Gerontology, 2022, 42(7): 1593-1595.] DOI: 10.3969/j.issn.1005-9202.2022.07.017.

8.Han B, Li K, Wang Q, et al. Effect of anlotinib as a third-line or further treatment on overall survival of patients with advanced non-small cell lung cancer: the ALTER 0303 phase 3 randomized clinical trial[J]. JAMA Oncol, 2018, 4(11): 1569-1575. DOI: 10.1001/jamaoncol.2018.3039.

9.孙利华. 药物经济学[M]. 北京: 中国医药科技出版社, 2016: 2-96, 133.

10.张晋, 任立红, 刘冬, 等. 安罗替尼治疗晚期非小细胞肺癌的成本效果分析[J]. 中国新药与临床杂志, 2020, 39(6): 380-384. [Zhang J, Ren LH, Liu D, et al. Cost-effectiveness analysis of anlotinib in treating advanced non-small cell lung cancer[J]. Chinese Journal of New Drugs and Clinical Remedies, 2020, 39(6): 380-384.] DOI: 10.14109/j.cnki.xyylc.2020.06.12.

11.丁海樱, 孔思思, 孙娇, 等. 盐酸安罗替尼用于晚期非小细胞肺癌治疗的成本效用分析[J]. 卫生经济研究, 2020, 37(5): 19-22. [Ding HY, Kong SS, Sun J, et al. Cost-effectiveness analysis of anlotinib hydrochloride for treatment of advanced non-small cell lung cancer[J]. Health Economics Research, 2020, 37(5): 19-22.] DOI: 10.14055/j.cnki.33-1056/f.2020.05.023.

12.占美, 吴斌, 吴逢波, 等. 安罗替尼治疗晚期非小细胞肺癌的成本-效果分析[J]. 医药导报, 2020, 39(2): 172-175. [Zhan M, Wu B, Wu FB, et al. Cost-effectiveness analysis of anlotinib for advanced non-small cell lung cancer[J]. Herald of Medicine, 2020, 39(2): 172-175.] DOI: 10.3870/j.issn.1004-0781.2020.02.009.

13.刘国恩. 中国药物经济学评价指南及导读(2015版) [M]. 北京: 科学出版社, 2014: 13.

14.刘国恩. 中国药物经济学评价指南: 2020版[M]. 北京: 中国市场出版社, 2020: 27-76.

15.Djalalov S, Beca J, Ewara EM, et al. A comparison of different analysis methods for reconstructed survival data to inform cost-effectiveness analysis[J]. Pharmacoeconomics. 2019, 37(12): 1525-1536. DOI: 10.1007/s40273-019-00830-4.

16.陶立波. 药物经济学评价中应用标准化疾病模型的方法和意义[J]. 中国卫生经济, 2017, 36(10): 58-61. [Tao LB. Discussion on the methods and significance of applicating standard disease models based on pharmacoeconomic evaluation[J]. Chinese Health Economics, 2017, 36(10): 58-61.] DOI: 10.7664/CHE20171015.

17.赵子影, 彭六保, 曾小慧, 等. 离散事件仿真模拟的基本组成元素及其在药物经济学评价中的应用实例分析[J]. 中国药房, 2013, 24(6): 483-486, 24. [Zhao  ZY, Peng LB, Zeng XH, et al. Basic elements of discrete event simulation and case analysis of application of it in pharmacoeconomics evaluation[J]. China Pharmacy, 2013, 24(6): 483-486, 24.] DOI: 10.6039/f.issn.1001-0408. 2013.06.02.

18.邵荣杰, 唐文熙, 马爱霞. 分区生存模型在药物经济学评价中的应用[J]. 中国卫生经济, 2019, 38(9): 60-63. [Shao RJ, Tang WX, Ma AX. The partitioned survival model applied in pharmacoeconomic evaluation[J]. Chinese Health Economics, 2019, 38(9): 60-63.] DOI: 10.7664/CHE20190916.

19.沃田, 陈磊, 席晓宇. 药物经济学评价中Markov模型的周期内校正方法探讨[J]. 中国药房, 2020, 31(8): 980-984. [Wo T, Chen L, Xi XY. Discussion on within-cycle correction of Markov model in pharmacoeconomic evaluation[J]. China Pharmacy, 2020, 31(8): 980-984.] DOI: 10.6039/j.issn.1001-0408.2020.08.15.

20.李鹤, 夏苏建. Markov模型在药物经济学评价中的应用现状[J]. 药物评价研究, 2013, 36(5): 382-385. [Li H, Xia SJ. Application of Markov model in pharmaco-economic evaluation[J]. Drug Evaluation Research, 2013, 36(5): 382-385.] DOI: 10.7501/j.issn.1674-6376.2013. 05.015.

21.周挺, 马爱霞, 付露阳. 药物经济学评价Markov模型中转移概率计算的探讨[J]. 中国卫生经济, 2017, 36(12): 40-42. [Zhou T, Ma AX, Fu LY. Discussion on the calculation of Markov model transition probability in pharmacoeconomics evaluation[J]. Chinese Health Economics, 2017, 36(12): 40-42.] DOI: 10.7664/CHE 20171210.

22.李双. 奥希替尼用于EGFR突变晚期非小细胞肺癌一线治疗的药物经济学评价[D]. 辽宁大连: 大连医科大学, 2022. DOI: 10.26994/d.cnki.gdlyu.2022.000950.

23.祁方家, 卢建龙, 冯莎, 等. 药物经济学评价中常见的成本及其测算方法[J]. 上海医药, 2015, 36(1): 7-9, 13. [Qi FJ, Lu JL, Feng S, et al. Common costs and their estimation methods in pharmacoeconomics[J]. Shanghai Medical & Pharmaceutical Journal, 2015, 36(1): 7-9, 13.] https://d.wanfangdata.com.cn/periodical/ChlQZXJpb2RpY2FsQ0hJTmV3UzIwMjQwNzA0Eg1zaHl5MjAxNTAxMDAzGgh4YXFnZ242bw%3D%3D.

24.Fei Z, Rui M, Wang Y, et al. Cost-effectiveness of anlotinib vs. pembrolizumab and nivolumab as third-line treatment in recurrent small cell lung cancer in China[J]. Expert Rev Pharmacoecon Outcomes Res, 2023, 23(1): 79-87. DOI: 10.1080/14737167.2023.2144837.

25.Nafees B, Lloyd AJ, Dewilde S, et al. Health state utilities in non-small cell lung cancer: an international study[J]. Asia Pac J Clin Oncol, 2017, 13(5): e195-e203. DOI: 10.1111/ajco.12477.

26.窦冠坤, 卢建龙, 祁方家, 等. 药物经济学评价中的不确定性分析[J]. 上海医药, 2015, 36(1): 10-13. [Dou GK, Lu JL, Qi FJ, et al. The analysis of uncertainty in pharmacoeconomic evaluations[J]. Shanghai Medical & Pharmaceutical Journal, 2015, 36(1): 10-13.] https://d.wanfangdata.com.cn/periodical/ChlQZXJpb2RpY2FsQ0hJTmV3UzIwMjQwNzA0Eg1zaHl5MjAxNTAxMDA0GghrcGYxcmlsbQ%3D%3D.

27.康朔. 卡瑞利珠单抗联合化疗一线治疗晚期非鳞状非小细胞肺癌的药物经济学评价[D]. 石家庄: 河北医科大学, 2021. DOI: 10.27111/d.cnki.ghyku.2021.000220.

28.Gong J, Wan Q, Shang J, et al. Cost-effectiveness analysis of anlotinib as third- or further-line treatment for relapsed small cell lung cancer (SCLC) in China[J]. Adv Ther, 2021, 38(10): 5116-5126. DOI: 10.1007/s12325-021-01889-2.

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