Identifying Patients for Whom Lung Cancer Screening Is Preference-Sensitive
Authors: Robert P. Young, Raewyn Hopkins
Journal: Annals of Internal Medicine (2018)

Letters4 December 2018Identifying Patients for Whom Lung Cancer Screening Is Preference-SensitiveRobert P. Young, BMedSc, MBChB, DPhil and Raewyn Hopkins, BN, MPHRobert P. Young, BMedSc, MBChB, DPhilUniversity of Auckland, Auckland, New Zealand (R.P.Y., R.H.)Search for more papers by this author and Raewyn Hopkins, BN, MPHUniversity of Auckland, Auckland, New Zealand (R.P.Y., R.H.)Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/L18-0555 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail TO THE EDITOR:Caverly and associates' microsimulation study (1) assesses the relative gains from computed tomography screening for lung cancer in the context of lung cancer risk, competing risks (or life expectancy), and patient preference. The authors conclude that, in the hypothetical setting of unfavorable preferences where negative views toward screening are strong, the benefits of screening (defined as when the net benefits outweigh the harms) are best seen in persons with intermediate risk (that is, those with risk between the 20th and 80th percentiles or those in the second to fourth quintiles) (Figure 1 of the article). In a ...References1. Caverly TJ, Cao P, Hayward RA, Meza R. Identifying patients for whom lung cancer screening is preference-sensitive: a microsimulation study. Ann Intern Med. 2018;169:1-9. [PMID: 29809244]. doi:10.7326/M17-2561 LinkGoogle Scholar2. Young RP, Hopkins RJ, Duan F, Chiles C, Aberle D, Gamble GD. The relationship between lung cancer risk according to the PLCO2012 model and prevalence or presence of COPD in the NLST-ACRIN sub-study (n = 10,054). Am J Respir Crit Care Med. 2018;197:A4411. Google Scholar3. Young RP, Hopkins RJ, Gamble GD. Comorbidity and competing causes of death attenuate outcomes in the NLST. J Thorac Oncol. 2017;12:S1758. CrossrefGoogle Scholar4. Young RP, Hopkins RJ, Duan F, Chiles C, Aberle D, Gamble GD. Genetic-approach to stratifying the risk of lung cancer outperforms the PLCO2012 model—optimisation of CT screening outcomes in the NLST-ACRIN substudy (N = 10,054). Am J Respir Crit Care Med. 2018;197:A4422. Google Scholar5. Gould MK. Precision screening for lung cancer: risk-based but not always preference-sensitive? Ann Intern Med. 2018;169:52-3. [PMID: 29809245]. doi:10.7326/M18-1350 LinkGoogle Scholar Author, Article, and Disclosure InformationAffiliations: University of Auckland, Auckland, New Zealand (R.P.Y., R.H.)Disclosures: Disclosures can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=L18-0555. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoIdentifying Patients for Whom Lung Cancer Screening Is Preference-Sensitive Tanner J. Caverly , Pianpian Cao , Rodney A. Hayward , and Rafael Meza Identifying Patients for Whom Lung Cancer Screening Is Preference-Sensitive Tanner J. Caverly , Rodney A. Hayward , and Rafael Meza Metrics Cited byThe potential impact of chronic obstructive pulmonary disease in lung cancer screening: implications for the screening clinic 4 December 2018Volume 169, Issue 11Page: 822-823KeywordsCancer screeningCancer treatmentChronic obstructive pulmonary diseaseDeath ratesDisclosureLife expectancyLung and intrathoracic tumorsLung cancer screeningPrimary care physiciansRespiratory system procedures ePublished: 4 December 2018 Issue Published: 4 December 2018 Copyright & PermissionsCopyright © 2018 by American College of Physicians. All Rights Reserved.PDF downloadLoading ...