title: LLPi: Liverpool Lung Project Risk Prediction Model for Lung Cancer Incidence.
abstract: Identification of high-risk individuals will facilitate early diagnosis, reduce overall costs, and also improve the current poor survival from lung cancer. The Liverpool Lung Project prospective cohort of 8,760 participants ages 45 to 79 years, recruited between 1998 and 2008, was followed annually through the hospital episode statistics until January 31, 2013. Cox proportional hazards models were used to identify risk predictors of lung cancer incidence. C-statistic was used to assess the discriminatory accuracy of the models. Models were internally validated using the bootstrap method. During mean follow-up of 8.7 years, 237 participants developed lung cancer. Age [hazard ratio (HR), 1.04; 95% confidence interval (CI), 1.02-1.06], male gender (HR, 1.48; 95% CI, 1.10-1.98), smoking duration (HR, 1.04; 95% CI, 1.03-1.05), chronic obstructive pulmonary disease (HR, 2.43; 95% CI, 1.79-3.30), prior diagnosis of malignant tumor (HR, 2.84; 95% CI, 2.08-3.89), and early onset of family history of lung cancer (HR, 1.68; 95% CI, 1.04-2.72) were associated with the incidence of lung cancer. The LLPi risk model had a good calibration (goodness-of-fit χ(2) 7.58, P = 0.371). The apparent C-statistic was 0.852 (95% CI, 0.831-0.873) and the optimism-corrected bootstrap resampling C-statistic was 0.849 (95% CI, 0.829-0.873). The LLPi risk model may assist in identifying individuals at high risk of developing lung cancer in population-based screening programs.
authors: Roy Castle Lung Cancer Research Programme, the University of Liverpool Cancer Research Centre, Institute of Translational Medicine, the University of Liverpool. Liverpool L3 9TA, UK. m.w.marcus@liv.ac.uk.
authors: Michael W
authors: MW
authors: Marcus
authors: Roy Castle Lung Cancer Research Programme, the University of Liverpool Cancer Research Centre, Institute of Translational Medicine, the University of Liverpool. Liverpool L3 9TA, UK.
authors: Ying
authors: Y
authors: Chen
authors: Roy Castle Lung Cancer Research Programme, the University of Liverpool Cancer Research Centre, Institute of Translational Medicine, the University of Liverpool. Liverpool L3 9TA, UK.
authors: Olaide Y
authors: OY
authors: Raji
authors: Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ.
authors: Stephen W
authors: SW
authors: Duffy
authors: Roy Castle Lung Cancer Research Programme, the University of Liverpool Cancer Research Centre, Institute of Translational Medicine, the University of Liverpool. Liverpool L3 9TA, UK.
authors: John K
authors: JK
authors: Field
mesh_terms: D000368:Aged; D002986:Clinical Trials as Topic; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D016015:Logistic Models; D008175:Lung Neoplasms / Q000175:diagnosis / Q000453:epidemiology* / Q000209:etiology* / Q000401:mortality; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D011237:Predictive Value of Tests; D011379:Prognosis; D011446:Prospective Studies; D018570:Risk Assessment; D012307:Risk Factors; D015996:Survival Rate; D006113:United Kingdom / Q000453:epidemiology