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Life sciences · Interventional Study
ClinicalTrials.gov · September 30, 2026
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Interventional Study.
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Registry record from ClinicalTrials.gov (NCT07848815). This is a study registration, not published results. Lead sponsor: Vejle Hospital. Recruitment status: RECRUITING. Phase: NA. Study type: INTERVENTIONAL. Enrollment: 1000 participants (ESTIMATED). Conditions: Lung Cancer (Diagnosis), COPD (Chronic Obstructive Pulmonary Disease). Interventions: OTHER: Risk-based prediction models. Primary outcome measures: Number of histopathologically confirmed lung cancers , From risk assessment to end of follow-up at 6 years. Brief summary: The goal of the interventional study is to evaluate whether risk-based stratification using the PLCOm2012 model and a machine learning (ML) model can identify patients with chronic obstructive pulmonary disease (COPD) who are at high risk of developing lung cancer and may benefit from low-dose computed tomography (LDCT) screening. The study population includes adults aged 50 years and older with COPD and a history of smoking attending an outpatient clinic. The main question it aims to answer are: \- What is the incidence of histopathologically confirmed lung cancer following risk-based stratification? Participants will: * Undergo lung cancer risk assessment using the PLCOm2012 model and an ML-based model based on clinical and laboratory data * Be referred for LDCT if classified as high-risk * Continue standard care if classified as low-risk * Be followed through electronic health records for up to six years to assess outcomes including lung cancer incidence, adherence to LDCT, time to imaging, healthcare utilization, costs, and safety