Literature DB >> 29152506

Selecting high-risk individuals for lung cancer screening; the use of risk prediction models vs. simplified eligibility criteria.

Rudolf Kaaks1,2, Anika Hüsing1,2, Renée T Fortner1,2.   

Abstract

Entities:  

Year:  2017        PMID： 29152506      PMCID： PMC5673786          DOI： 10.21037/atm.2017.07.14

Source DB:  PubMed          Journal:  Ann Transl Med        ISSN： 2305-5839


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  20 in total

1.  Analysis of lung cancer incidence in the Nurses' Health and the Health Professionals' Follow-Up Studies using a multistage carcinogenesis model.

Authors:  Rafael Meza; William D Hazelton; Graham A Colditz; Suresh H Moolgavkar
Journal:  Cancer Causes Control       Date:  2007-12-06       Impact factor: 2.506

2.  A risk model for prediction of lung cancer.

Authors:  Margaret R Spitz; Waun Ki Hong; Christopher I Amos; Xifeng Wu; Matthew B Schabath; Qiong Dong; Sanjay Shete; Carol J Etzel
Journal:  J Natl Cancer Inst       Date:  2007-05-02       Impact factor: 13.506

3.  Mortality, survival and incidence rates in the ITALUNG randomised lung cancer screening trial.

Authors:  Eugenio Paci; Donella Puliti; Andrea Lopes Pegna; Laura Carrozzi; Giulia Picozzi; Fabio Falaschi; Francesco Pistelli; Ferruccio Aquilini; Cristina Ocello; Marco Zappa; Francesca M Carozzi; Mario Mascalchi
Journal:  Thorax       Date:  2017-04-04       Impact factor: 9.139

4.  Selecting High-Risk Individuals for Lung Cancer Screening: A Prospective Evaluation of Existing Risk Models and Eligibility Criteria in the German EPIC Cohort.

Authors:  Kuanrong Li; Anika Hüsing; Disorn Sookthai; Manuela Bergmann; Heiner Boeing; Nikolaus Becker; Rudolf Kaaks
Journal:  Cancer Prev Res (Phila)       Date:  2015-06-15

Review 5.  Lung cancer screening: latest developments and unanswered questions.

Authors:  Carlijn M van der Aalst; Kevin Ten Haaf; Harry J de Koning
Journal:  Lancet Respir Med       Date:  2016-09       Impact factor: 30.700

6.  Development and Validation of Risk Models to Select Ever-Smokers for CT Lung Cancer Screening.

Authors:  Hormuzd A Katki; Stephanie A Kovalchik; Christine D Berg; Li C Cheung; Anil K Chaturvedi
Journal:  JAMA       Date:  2016-06-07       Impact factor: 56.272

Review 7.  Application of risk prediction models to lung cancer screening: a review.

Authors:  Martin C Tammemägi
Journal:  J Thorac Imaging       Date:  2015-03       Impact factor: 3.000

8.  Decision curve analysis: a novel method for evaluating prediction models.

Authors:  Andrew J Vickers; Elena B Elkin
Journal:  Med Decis Making       Date:  2006 Nov-Dec       Impact factor: 2.583

9.  Selection criteria for lung-cancer screening.

Authors:  Martin C Tammemägi; Hormuzd A Katki; William G Hocking; Timothy R Church; Neil Caporaso; Paul A Kvale; Anil K Chaturvedi; Gerard A Silvestri; Tom L Riley; John Commins; Christine D Berg
Journal:  N Engl J Med       Date:  2013-02-21       Impact factor: 91.245

10.  Risk prediction models for selection of lung cancer screening candidates: A retrospective validation study.

Authors:  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
Journal:  PLoS Med       Date:  2017-04-04       Impact factor: 11.069
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  1 in total

1.  Performance of various risk prediction models in a large lung cancer screening cohort in Gdańsk, Poland-a comparative study.

Authors:  Marcin Ostrowski; Franciszek Bińczyk; Tomasz Marjański; Robert Dziedzic; Sylwia Pisiak; Sylwia Małgorzewicz; Mariusz Adamek; Joanna Polańska; Witold Rzyman
Journal:  Transl Lung Cancer Res       Date:  2021-02
  1 in total

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