Ontology highlight
ABSTRACT:
SUBMITTER: de Koning HJ
PROVIDER: S-EPMC4116741 | biostudies-literature | 2014 Mar
REPOSITORIES: biostudies-literature
de Koning Harry J HJ Meza Rafael R Plevritis Sylvia K SK ten Haaf Kevin K Munshi Vidit N VN Jeon Jihyoun J Erdogan Saadet Ayca SA Kong Chung Yin CY Han Summer S SS van Rosmalen Joost J Choi Sung Eun SE Pinsky Paul F PF Berrington de Gonzalez Amy A Berg Christine D CD Black William C WC Tammemägi Martin C MC Hazelton William D WD Feuer Eric J EJ McMahon Pamela M PM
Annals of internal medicine 20140301 5
<h4>Background</h4>The optimum screening policy for lung cancer is unknown.<h4>Objective</h4>To identify efficient computed tomography (CT) screening scenarios in which relatively more lung cancer deaths are averted for fewer CT screening examinations.<h4>Design</h4>Comparative modeling study using 5 independent models.<h4>Data sources</h4>The National Lung Screening Trial; the Prostate, Lung, Colorectal, and Ovarian Cancer Screening trial; the Surveillance, Epidemiology, and End Results program ...[more]