Variations in lung cancer risk among smokers Journal Article


Authors: Bach, P. B.; Kattan, M. W.; Thornquist, M. D.; Kris, M. G.; Tate, R. C.; Barnett, M. J.; Hsieh, L.; Begg, C. B.
Article Title: Variations in lung cancer risk among smokers
Abstract: Background: Although there is no proven benefit associated with screening for lung cancer, screening programs are attracting many individuals who perceive themselves to be at high risk due to smoking. We sought to determine whether the risk of lung cancer varies predictably among smokers. Methods: We used data on 18 172 subjects enrolled in the Carotene and Retinol Efficacy Trial (CARET) - a large, randomized trial of lung cancer prevention - to derive a lung cancer risk prediction model. Model inputs included the subject's age, sex, asbestos exposure history, and smoking history. We assessed the model's calibration by comparing predicted and observed rates of lung cancer across risk deciles and validated it by assessing the extent to which a model estimated on data from five CARET study sites could predict events in the sixth study site. We then applied the model to evaluate the risk of lung cancer among smokers enrolled in a study of lung cancer screening with computed tomography (CT). Results: The model was internally valid and well calibrated. Ten-year lung cancer risk varied greatly among participants in the CT study, from 15% for a 68-year-old man who has smoked two packs per day for 50 years and continues to smoke, to 0.8% for a 51-year-old woman who smoked one pack per day for 28 years before quitting 9 years earlier. Even among the subset of CT study participants who would be eligible for a clinical trial of cancer prevention, risk varied greatly. Conclusions: The risk of lung cancer varies widely among smokers. Accurate risk prediction may help individuals who are contemplating voluntary screening to balance the potential benefits and risks. Risk prediction may also be useful for researchers designing clinical trials of lung cancer prevention.
Keywords: adult; controlled study; aged; middle aged; major clinical study; cigarette smoking; placebo; cancer risk; risk benefit analysis; united states; methodology; accuracy; computer assisted tomography; lung neoplasms; risk factors; cancer screening; lung cancer; smoking cessation; mass screening; smoking; tomography, x-ray computed; prediction; time factors; age; risk assessment; randomized controlled trials; medical research; predictive value of tests; smoking habit; retinol; gender; beta carotene; environmental exposure; clinical observation; asbestos; multicenter studies; humans; human; male; female; priority journal; article
Journal Title: JNCI: Journal of the National Cancer Institute
Volume: 95
Issue: 6
ISSN: 0027-8874
Publisher: Oxford University Press  
Date Published: 2003-03-19
Start Page: 470
End Page: 478
Language: English
PUBMED: 12644540
PROVIDER: scopus
DOI: 10.1093/jnci/95.6.470
DOI/URL:
Notes: Export Date: 12 September 2014 -- Source: Scopus
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MSK Authors
  1. Lillian Hsieh
    4 Hsieh
  2. Colin B Begg
    306 Begg
  3. Peter Bach
    255 Bach
  4. Mark Kris
    869 Kris
  5. Michael W Kattan
    218 Kattan
  6. Ramsey   Tate
    5 Tate