Evidence map›Paper›PMID 42121191›Full record

ArticleCost effectiveness and resource allocation : C/E2026

Comparative effectiveness and cost-effectiveness of ALK-positive NSCLC sequential strategies under physician and patient preferences.

Hao Li, Mingye Zhao, Yue Yin, Jiaqi Li, Wenxi Tang

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Article in Cost effectiveness and resource allocation : C/E, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Hao Li *Department of Pharmacoeconomics, School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, Jiangsu, China.
Mingye Zhao *Department of Pharmacoeconomics, School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, Jiangsu, China.
Yue YinDepartment of Pharmacoeconomics, School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, Jiangsu, China.
Jiaqi LiDepartment of Pharmacoeconomics, School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, Jiangsu, China.
Wenxi TangDepartment of Pharmacoeconomics, School of International Pharmaceutical Business, China Pharmaceutical University, Nanjing, Jiangsu, China. tokammy@cpu.edu.cn.

Funding

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6 · The paper itself

Abstract

backgroundAlthough advances in multi-line cancer treatment have improved patient survival outcomes, they have also introduced significant economic and resource-allocation challenges. The ultimate survival outcome depends on the cumulative effect of all treatment lines and is significantly influenced by physician and patient preference​. Given the predominant focus of pharmacoeconomic evaluations in China on single-line treatments, further research that integrates high-quality clinical evidence with stakeholder preferences is necessary to evaluate sequential strategies.

methodsA systematic search of PubMed, Embase, and ClinicalTrials.gov identified relevant clinical trials for advanced ALK-positive non-small-cell lung cancer (NSCLC). A semi-Markov model was applied to evaluate the effectiveness and cost-effectiveness of sequential strategies from the Chinese healthcare system perspective. The primary effectiveness outcomes measured were median overall survival (OS) and quality-adjusted life years (QALYs), and cost-effectiveness was assessed based on net monetary benefit (NMB). Health state utilities and costs were sourced from published literature, publicly available national databases. Additionally, we employed a discrete choice experiment (DCE) to quantify advanced NSCLC patients' preferences for treatment attributes. These preference weights were then integrated with the performance of ​​sequential strategies​​ to calculate the selection probabilities.

resultsA total of 27 RCTs were included, informing 35 sequential strategies. The highest effectiveness were observed in ​​third-generation ALK-TKI lorlatinib-initiated regimens​​, particularly with the ​​lorlatinib-to-alectinib​​ sequence achieving ​​8.4 QALYs​​. At a willingness to pay(WTP) threshold of $ 25,799, the Che + Che+BSC regimen yielded the highest NMB ($16,180). Derived from the DCE, patient preference weights identified progression-free survival (PFS) as the most important attribute (40.9%). The alectinib-to-ensartinib sequential strategy demonstrated the highest selection probability in physician-patient preferences.

conclusionsAccording to current analyses, although treatment initiating with the third-generation ALK-TKI led in effectiveness, chemotherapy-dominated sequential treatment remained the most cost-effective option when costs were considered. Our study identified a strong physician-patient alignment on preference priorities for treatment pathway selection, placing greater weight on the efficacy dimension, which was reflected in the high preference for sequential second- and third-generation ALK-TKI strategies. These findings underscore the importance of strategic ALK-TKI sequencing and ​​advocate for​​ shared decision-making.

Indexed as

ALK-TKIsNon-small-cell lung cancerPhysician-patient preferencesSequential strategies

Identifiers

PMID42121191
PMCPMC13334747

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.