Predictive accuracy of the Liverpool Lung Project risk model for stratifying patients for computed tomography screening for lung cancer: a case-control and cohort validation study.
about
Screening for lung cancerRisk factors assessment and risk prediction models in lung cancer screening candidatesPersonalizing annual lung cancer screening for patients with chronic obstructive pulmonary disease: A decision analysis.Lung cancer epigenetics: emerging biomarkersLung cancer risk test trial: study design, participant baseline characteristics, bronchoscopy safety, and establishment of a biospecimen repositoryShould Never-Smokers at Increased Risk for Lung Cancer Be Screened?The role of DNA methylation as biomarkers in the clinical management of lung cancer.A lung cancer risk classifier comprising genome maintenance genes measured in normal bronchial epithelial cells.Should Nonsmokers Be Excluded from Early Lung Cancer Screening with Low-Dose Spiral Computed Tomography? Community-Based Practice in ShanghaiComparing benefits from many possible computed tomography lung cancer screening programs: extrapolating from the National Lung Screening Trial using comparative modeling.A review of cancer risk prediction models with genetic variants.Evaluation of the lung cancer risks at which to screen ever- and never-smokers: screening rules applied to the PLCO and NLST cohorts.Lung cancer screening: identifying the high risk cohort.Attitudes towards Lung Cancer Screening in an Australian High-Risk Population.ESR/ERS white paper on lung cancer screeningEvaluating Prognostic Markers Using Relative Utility Curves and Test TradeoffsPerformance and Cost-Effectiveness of Computed Tomography Lung Cancer Screening Scenarios in a Population-Based Setting: A Microsimulation Modeling Analysis in Ontario, CanadaReceiver operating characteristic analysis of prediction for gastric cancer development using serum pepsinogen and Helicobacter pylori antibody tests.Risk prediction models for selection of lung cancer screening candidates: A retrospective validation study.UK Lung Cancer RCT Pilot Screening Trial: baseline findings from the screening arm provide evidence for the potential implementation of lung cancer screeningIncorporating epistasis interaction of genetic susceptibility single nucleotide polymorphisms in a lung cancer risk prediction modelAssessing the Clinical Impact of Risk Prediction Models With Decision Curves: Guidance for Correct Interpretation and Appropriate Use.Trends in Subpopulations at High Risk for Lung CancerTargeting of low-dose CT screening according to the risk of lung-cancer death.Translation of research results to simple estimates of the likely effect of a lung cancer screening programme in the United Kingdom.Small pulmonary nodules in baseline and incidence screening rounds of low-dose CT lung cancer screening.Net risk reclassification p values: valid or misleading?Is it useful to combine sputum cytology and low-dose spiral computed tomography for early detection of lung cancer in formerly asbestos-exposed power industry workers?The contribution of risk prediction models to early detection of lung cancer.Lung cancer screening: review and performance comparison under different risk scenarios.Issues with implementing a high-quality lung cancer screening program.The importance of screening for lung cancer.Biases in Individualized Cost-effectiveness Analysis: Influence of Choices in Modeling Short-Term, Trial-Based, Mortality Risk Reduction and Post-Trial Life Expectancy.New Sepsis Definition (Sepsis-3) and Community-acquired Pneumonia Mortality: A Validation and Clinical Decision-making Study.Prediction of lung cancer incidence on the low-dose computed tomography arm of the National Lung Screening Trial: A dynamic Bayesian network.Bridging the etiologic and prognostic outlooks in individualized assessment of absolute risk of an illness: application in lung cancer.Lung cancer screening - practical challenges of confining participation to those who might benefit.ESR/ERS white paper on lung cancer screening.F2RL3 methylation, lung cancer incidence and mortality.A concordance index for matched case-control studies with applications in cancer risk.
P2860
Q24201867-6CADC8F4-5689-4956-B0B7-61FBF4E66D0DQ26747819-2C5A223E-A9B1-4F83-BD0D-480F818035E6Q27336183-46314484-A354-4DA7-93CE-B6CC90201BDCQ28285049-CEDA9E67-D95F-455C-887D-B60E3370370DQ28384727-CFD18F5E-DE7E-4F43-ABD8-0CAFAF039B92Q28386729-E3C66B93-9313-445A-9E7A-2F055233CF4DQ30317739-4351A5C3-70DE-4B27-89AF-FFD1BC38627EQ33623634-F1295948-AA1C-48E6-9B4D-DB7541E73DF7Q33690235-D166425D-C354-44AA-A67A-F5E7A4416D17Q33825806-B1180089-E6AF-4886-A206-41DAC064CE42Q34265269-1013CE47-5FEA-4B89-ABF8-6588EFB70FBCQ34611247-F643E010-37CD-44B4-9C2F-FBAD2F33E680Q35567559-3838CD64-B49A-4641-BC9D-B9E50427325DQ35623602-0315B142-8206-454D-8A8E-CECCECF1E0AFQ35801394-AE2D5125-8839-4A59-B2D4-28E12E980E04Q35916647-D72FD93E-1B8C-4F39-9234-6BEB779235C7Q36272784-EC869390-5A94-4AB6-816B-3DF1DFE618CAQ36303181-E6CC651F-5F18-4F2D-939B-29BAD4ABF215Q36334146-6E133AB0-2DDC-4A06-B417-C8A930577846Q36577246-E3C29F6A-B6F6-4D11-A9AB-A9E13B502023Q36992197-B6D74DBD-490D-454B-930B-5C81130436D8Q37130232-9902BBAD-D19B-45D3-A8FE-FF3179E97BC1Q37173553-E77293BB-83B1-482E-97E9-BEB88B051284Q37198867-0F15C93D-6799-407E-8C7F-ADFFFBE7C29FQ37681740-5D101704-16A1-4202-8414-209F5C5370A4Q37691888-2B6A1EFA-FAE5-4708-8A7E-A0386E6EA875Q37696697-17BA2B09-F597-4F5B-9F12-739D76C7C07DQ37727819-902CD464-B698-4DD2-9E4B-60DED62D6220Q38133416-B38EDEAD-3986-4C9E-8B89-D14FC819761FQ38155065-EA98D7CF-81D1-4EA6-ADD0-C312907A209CQ38224354-4256CC3A-3685-417D-BFBC-73DA70DA965FQ38243451-1EE59C3B-DC06-493C-BF51-58E877AB4CA0Q38602246-CE232359-5F5A-40A0-9C9E-9BEC2884701CQ38725994-48C571C7-ACA6-4DBF-A7B0-940BA1A4C134Q39355104-406D37A2-E5B5-4854-9917-0F2D81761161Q39612965-104AB4C6-9308-4BEE-8F1B-909C7D051C79Q40826995-9B0350A0-CF9B-44D2-8CEF-6C679C7F32A7Q41952990-5451F40E-7DE7-4291-B276-21369196A8ECQ44021766-3814452D-81D7-4CF1-A49D-878673FB90B0Q44325877-F193525E-A462-477F-8E95-F4F74D0C33A7
P2860
Predictive accuracy of the Liverpool Lung Project risk model for stratifying patients for computed tomography screening for lung cancer: a case-control and cohort validation study.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on August 2012
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Predictive accuracy of the Liv ...... l and cohort validation study.
@en
Predictive accuracy of the Liv ...... l and cohort validation study.
@nl
type
label
Predictive accuracy of the Liv ...... l and cohort validation study.
@en
Predictive accuracy of the Liv ...... l and cohort validation study.
@nl
prefLabel
Predictive accuracy of the Liv ...... l and cohort validation study.
@en
Predictive accuracy of the Liv ...... l and cohort validation study.
@nl
P2093
P2860
P1476
Predictive accuracy of the Liv ...... l and cohort validation study.
@en
P2093
Adrian Cassidy
David C Christiani
Olaide Y Raji
Olorunshola F Agbaje
Stephen W Duffy
Stuart G Baker
P2860
P304
P356
10.7326/0003-4819-157-4-201208210-00004
P407
P577
2012-08-01T00:00:00Z