Abstract
Lung cancer is the leading cause of cancer-related mortality worldwide, with most patients diagnosed at advanced stages. Early detection through screening can significantly reduce mortality, making cost-effectiveness evidence crucial for guiding policy decisions. This systematic review aimed to evaluate the cost-effectiveness of lung cancer screening across various modalities, populations, and settings. A comprehensive search of PubMed, EMBASE, Web of Science, and Cochrane Library was conducted for studies up to March 18, 2025, adhering to PRISMA guidelines. A total of 79 studies from 21 countries were included, with model-based analyses prevalent and 89.9% rated as high quality. Low-dose computed tomography (LDCT) emerged as the primary screening modality, although evidence on artificial intelligence (AI) and biomarkers is limited. Fourteen studies comparing LDCT with no screening showed incremental cost-effectiveness ratios (ICERs) ranging from $8376 to $200,921 per quality-adjusted life-year (QALY) gained. Notably, 90.3% of LDCT strategies were cost-effective by national thresholds, particularly in older adults and high-risk groups. Biennial screening often proved more cost-effective than annual in many scenarios. Overall, LDCT screening demonstrated favorable cost-effectiveness, necessitating further evaluation for emerging technologies in underserved regions.
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We would like to acknowledge the State Key Laboratory of Respiratory Disease for its valuable advice.
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This research was funded by Start-up Research Grant of the University of Macau (SRG2025-00031-FHS). The funder played no role in study design, data collection, analysis and interpretation of data, or the writing of this manuscript.
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ZJF and MQZ contributed equally as co-first authors. ZJF and MQZ conceptualized the study and developed the protocol. ZJF, ZYG and MQZ designed the search strategy and conducted the literature search. HTL, PYG, YZ, BZ, LYH and XQZ performed data screen and extraction. TTF, MTL, XRJ, NJR and CLZ assessed data quality. ZJF and MQZ conducted data analysis. WXW, CH and JHL provided expert supervision during data extraction and analysis. ZJF and MQZ drafted the initial manuscript. HTL, PYG, YZ, BZ, LYH, WXW, CH and JHL critically revised the manuscript for important intellectual content and supervised data interpretation.
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Fan, Z., Zheng, M., Guan, Z. et al. Cost-effectiveness of lung cancer screening: insights from risk stratification, guidelines, and emerging technologies—a systematic review. npj Prim. Care Respir. Med. (2026). https://doi.org/10.1038/s41533-026-00482-w
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DOI: https://doi.org/10.1038/s41533-026-00482-w


