Aller au contenu principal
2026 conference-abstract

A real-world data platform for comparative analysis of treatment patterns, costs, and cost-effectiveness among ALK TKIs in advanced NSCLC.

0Citations signalées, ce qui n’est pas une note de qualité
3Institutions déclarées
1Pays d’affiliation déclarés

Rattachement africain : cn. Niveau de preuve : code pays fourni par la source.

Le résumé fourni par la source

e20688 Background: Real-world evidence (RWE) directly comparing Anaplastic Lymphoma Kinase Tyrosine Kinase Inhibitors (ALK TKIs) is crucial for optimizing treatment strategies and healthcare resource allocation in advanced non-small cell lung cancer (aNSCLC). This study leverages a comprehensive medical insurance database to establish an RWE platform capable of comparing clinical outcomes, healthcare resource utilization (HCRU), and economic impact across multiple ALK TKIs. Methods: We conducted a retrospective cohort analysis using the Beijing Medical Insurance Database (01/2019-02/2025). Patients with aNSCLC initiating first-line ALK TKI therapy (Alectinib, Lorlatinib, Crizotinib, Ensartinib, Ceritinib, Brigatinib) were included. For each agent, we extracted real-world metrics on HCRU, direct medical costs, treatment duration, and sequencing patterns. These data were used to populate a partitioned survival model for cost-effectiveness analysis (CEA). Using Alectinib vs. Lorlatinib as a proof-of-concept pairwise comparison, the CEA calculated lifetime costs (2025 CNY), quality-adjusted life years (QALYs), and the incremental cost-effectiveness ratio (ICER), with a 5% discount rate. The model inputs were derived from the real-world cohort. The framework supports future head-to-head comparisons among other TKI pairs. Results: The cohort included 862 eligible patients. RWE revealed significant variations across TKIs in median duration of therapy (Alectinib: 569 days; Lorlatinib: 388 days; Crizotinib: 252 days), annual HCRU, and cost structures. Alectinib was associated with lower average annual non-drug direct medical costs, resulting in a saving of ¥8,657 compared to Lorlatinib. In the proof-of-concept CEA (Alectinib vs. Lorlatinib), Alectinib provided more QALYs (4.74 vs. 4.53) at a higher total cost (¥859,738 vs. ¥853,019), yielding an ICER of ¥31,471 per QALY gained, which is below the 1x GDP per capita threshold (¥95,749). The economic outcome was driven by Alectinib's longer treatment duration and associated utility benefit, alongside its lower real-world progressed disease phase costs (¥2,721 vs. ¥4,275 per cycle) compared to Lorlatinib, which offset differences in progression-free phase costs. Conclusions: This study establishes a robust RWE platform using real-world costs and resource use data that enables comparative effectiveness and economic evaluations among all ALK TKIs. The proof-of-concept analysis demonstrates that Alectinib is a cost-effective option compared to Lorlatinib from a Chinese payer perspective, supported by its clinical benefits and favorable cost structure, including lower non-drug medical costs. The developed framework supports future head-to-head comparisons for other TKI pairs, providing critical evidence to inform clinical decision-making and optimize aNSCLC care.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.

Le contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
A real-world data platform for comparative analysis of treatment patterns, costs, and cost-effectiveness among ALK TKIs in advanced NSCLC.
Date Crossref
01/06/2026
Éditeur
American Society of Clinical Oncology (ASCO)
Type
journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.

Les institutions déclarées

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Les sujets associés

Lung Cancer Treatments and MutationsEconomic and Financial Impacts of CancerLung Cancer Diagnosis and Treatment

BNTIC News n’est pas le producteur de ces données. Les publications sont interrogées à la demande dans Crossref, OpenAIRE, DOAJ, Europe PMC, HAL, DataCite, AfricArXiv, ROR et la Banque mondiale, sans clé d’accès. OpenAlex reste optionnel. Aucun service payant n’est nécessaire et aucune donnée externe n’est enregistrée en base. Consulter les sources et leurs limites.