Optimising eligibility criteria for lung cancer screening
- PMID: 37030306
- DOI: 10.1016/S2213-2600(23)00083-8
Optimising eligibility criteria for lung cancer screening
Conflict of interest statement
PAJC has received grant funding from Cancer Research UK, Yorkshire Cancer Research, and Innovate UK; consulting fees from Everest Detection and North West eHealth; payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing, or educational events from Novartis and AstraZeneca; support for travel or attending meetings from the Canadian Partnership Against Cancer; and stock or stock options from Everest Detection. MEJC has received grant funding from Yorkshire Cancer Research and Innovate UK.
Comment on
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Predicting the future risk of lung cancer: development, and internal and external validation of the CanPredict (lung) model in 19·67 million people and evaluation of model performance against seven other risk prediction models.Lancet Respir Med. 2023 Aug;11(8):685-697. doi: 10.1016/S2213-2600(23)00050-4. Epub 2023 Apr 5. Lancet Respir Med. 2023. PMID: 37030308
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