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Identifying high-risk individuals for lung cancer screening: Going beyond NLST criteria

Author

Listed:
  • Marcela Fu
  • Noémie Travier
  • Juan Carlos Martín-Sánchez
  • Jose M Martínez-Sánchez
  • Carmen Vidal
  • Montse Garcia
  • on behalf of the LUCAPREV research group

Abstract

Background: There are two main types of strategies to identify target population for lung cancer screening: 1) strategies based on age and cumulative smoking criteria, 2) risk prediction models allowing the calculation of an individual risk. The objective of this study was to compare different strategies to identify the proportion of the Spanish population at high risk of developing lung cancer, susceptible to be included in a lung cancer screening programme. Methods: Cross-sectional study. We used the data of the Spanish National Interview Health Survey (ENSE) of 2011–2012 (21,006 individuals) to estimate the proportion of participants at high risk of developing lung cancer. This estimation was performed using the U.S. national lung screening trial (NLST) criteria and a 6-year prediction model (PLCOm2012), both independently and in combination. Results: The prevalence of individuals at high risk of developing lung cancer according to the NLST criteria was 4.9% (7.9% for men, 2.4% for women). Among the 1,034 subjects who met the NLST criteria, 533 (427 men and 106 women) had a 6-year lung cancer risk ≥2.0%. The combination of these two selection strategies showed that 2.5% of the Spanish population had a high risk of developing lung cancer. However, this selection process did not take into account different groups of subjects

Suggested Citation

  • Marcela Fu & Noémie Travier & Juan Carlos Martín-Sánchez & Jose M Martínez-Sánchez & Carmen Vidal & Montse Garcia & on behalf of the LUCAPREV research group, 2018. "Identifying high-risk individuals for lung cancer screening: Going beyond NLST criteria," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-11, April.
  • Handle: RePEc:plo:pone00:0195441
    DOI: 10.1371/journal.pone.0195441
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    References listed on IDEAS

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    1. Kevin ten Haaf & Jihyoun Jeon & Martin C Tammemägi & Summer S Han & Chung Yin Kong & Sylvia K Plevritis & Eric J Feuer & Harry J de Koning & Ewout W Steyerberg & Rafael Meza, 2017. "Risk prediction models for selection of lung cancer screening candidates: A retrospective validation study," PLOS Medicine, Public Library of Science, vol. 14(4), pages 1-24, April.
    2. Martin C Tammemägi & Timothy R Church & William G Hocking & Gerard A Silvestri & Paul A Kvale & Thomas L Riley & John Commins & Christine D Berg, 2014. "Evaluation of the Lung Cancer Risks at Which to Screen Ever- and Never-Smokers: Screening Rules Applied to the PLCO and NLST Cohorts," PLOS Medicine, Public Library of Science, vol. 11(12), pages 1-13, December.
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