Predictive Accuracy of the Liverpool Lung Project Risk Model
Authors: John K. Field, Olaide Y. Raji, Stephen W. Duffy
Journal: Annals of Internal Medicine (2013)

Letters2 April 2013Predictive Accuracy of the Liverpool Lung Project Risk ModelJohn K. Field, PhD, Olaide Y. Raji, PhD, and Stephen W. Duffy, MScJohn K. Field, PhDFrom The University of Liverpool Cancer Research Centre, Institute of Translational Medicine, The University of Liverpool, Liverpool, and Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom., Olaide Y. Raji, PhDFrom The University of Liverpool Cancer Research Centre, Institute of Translational Medicine, The University of Liverpool, Liverpool, and Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom., and Stephen W. Duffy, MScFrom The University of Liverpool Cancer Research Centre, Institute of Translational Medicine, The University of Liverpool, Liverpool, and Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.Author, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-158-7-201304020-00015 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail IN RESPONSE:We thank Dr. Young and colleagues for their interest and useful comments on our article. The LLP risk model was shown to perform better than those based on age and smoking history alone. The superior net benefit shown in 3 independent studies suggested a predicted clinical utility in terms of screening decision at relevant thresholds; however, this was a retrospective performance assessment and the actual effect can only be shown with prospective CT screening trials.The detection rate of 1.5% that Baldwin and associates (1) reported in 2011 was a conservative estimate used to power the UKLS (United ...References1. Baldwin DR, Duffy SW, Wald NJ, Page R, Hansell DM, Field JK. UK Lung Screen (UKLS) nodule management protocol: modelling of a single screen randomised controlled trial of low-dose CT screening for lung cancer. Thorax. 2011;66:308-13. [PMID: 21317179] CrossrefMedlineGoogle Scholar2. Cassidy A, Myles JP, van Tongeren M, Page RD, Liloglou T, Duffy SW, et al. The LLP risk model: an individual risk prediction model for lung cancer. Br J Cancer. 2008;98:270-6. [PMID: 18087271] CrossrefMedlineGoogle Scholar Author, Article, and Disclosure InformationAuthors: John K. Field, PhD; Olaide Y. Raji, PhD; Stephen W. Duffy, MScAffiliations: From The University of Liverpool Cancer Research Centre, Institute of Translational Medicine, The University of Liverpool, Liverpool, and Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.Disclosures: Disclosures can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M11-1994. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoPredictive Accuracy of the Liverpool Lung Project Risk Model for Stratifying Patients for Computed Tomography Screening for Lung Cancer Olaide Y. Raji , Stephen W. Duffy , Olorunshola F. Agbaje , Stuart G. Baker , David C. Christiani , Adrian Cassidy , and John K. Field Predictive Accuracy of the Liverpool Lung Project Risk Model Robert P. Young , Raewyn J. Hopkins , and David E. Midthun Metrics Cited byA 10-Year Probability Deep Neural Network Prediction Model for Lung CancerEstablishing a survival probability prediction model for different lung cancer therapies 2 April 2013Volume 158, Issue 7Page: 568-569KeywordsClinical trialsComputed axial tomographyConflicts of interestDisclosureLung and intrathoracic tumorsLungsMedical risk factorsQuestionnairesRetrospective studiesRisk management ePublished: 2 April 2013 Issue Published: 2 April 2013 Copyright & PermissionsCopyright © 2013 by American College of Physicians. All Rights Reserved.PDF downloadLoading ...