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Cost-effectiveness of a machine learning risk prediction model (LungFlag) in the selection of high-risk individuals for non-small cell lung cancer screening in Spain.
- Source :
-
Journal of medical economics [J Med Econ] 2025 Dec; Vol. 28 (1), pp. 147-156. Date of Electronic Publication: 2025 Jan 08. - Publication Year :
- 2025
-
Abstract
- Objective: The LungFlag risk prediction model uses individualized clinical variables to identify individuals at high-risk of non-small cell lung cancer (NSCLC) for screening with low-dose computed tomography (LDCT). This study evaluates the cost-effectiveness of LungFlag implementation in the Spanish setting for the identification of individuals at high-risk of NSCLC.<br />Methods: A model combining a decision-tree with a Markov model was adapted to the Spanish setting to calculate health outcomes and costs over a lifetime horizon, comparing two hypothetical scenarios: screening with LungFlag versus non-screening, and screening with LungFlag versus screening the entire population meeting 2013 US Preventive Services Task Force (USPSTF) criteria. Model inputs were obtained from the literature and the clinical practice of a multidisciplinary expert panel. Only direct costs (€of 2023), obtained from local sources, were considered. Deterministic and probabilistic sensitivity analyses were performed to assess the robustness of our results.<br />Results: A cohort of 3,835,128 individuals meeting 2013 USPSTF criteria would require 2,147,672 LDCTs scans. However, using LungFlag would only require 232,120 LDCTs scans. Cost-effectiveness results showed that LungFlag was dominant versus non-screening scenario, and outperformed the scenario where the entire population were screened since the observed loss of effectiveness (-224,031 life years [LYs] and -97,612 quality-adjusted life years [QALYs]) was largely offset by the significant cost savings provided (€7,053 million). The resulting incremental cost-effectiveness ratio (ICER) for this strategy of screening the whole population versus using LungFlag was €72,000/QALY, showing that LungFlag is cost-effective. Various were described, such as the source of the efficacy or adherence rates, and other limitations inherent to cost-effectiveness analyses.<br />Conclusions: Using LungFlag for the selection of high-risk individuals for NSCLC screening in Spain would be a cost-effective strategy over screening the entire population meeting USPSTF 2013 criteria and is dominant over non-screening.
- Subjects :
- Humans
Spain
Female
Male
Risk Assessment methods
Quality-Adjusted Life Years
Aged
Middle Aged
Decision Trees
Cost-Benefit Analysis
Carcinoma, Non-Small-Cell Lung diagnosis
Carcinoma, Non-Small-Cell Lung diagnostic imaging
Lung Neoplasms diagnostic imaging
Lung Neoplasms diagnosis
Machine Learning
Tomography, X-Ray Computed economics
Early Detection of Cancer economics
Early Detection of Cancer methods
Markov Chains
Subjects
Details
- Language :
- English
- ISSN :
- 1941-837X
- Volume :
- 28
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Journal of medical economics
- Publication Type :
- Academic Journal
- Accession number :
- 39697091
- Full Text :
- https://doi.org/10.1080/13696998.2024.2444781