These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
195 related articles for article (PubMed ID: 32974635)
1. Assessing Different Approaches to Leveraging Historical Smoking Exposure Data to Better Select Lung Cancer Screening Candidates: A Retrospective Validation Study. Kats DJ; Adie Y; Tlimat A; Greco PJ; Kaelber DC; Tarabichi Y Nicotine Tob Res; 2021 Aug; 23(8):1334-1340. PubMed ID: 32974635 [TBL] [Abstract][Full Text] [Related]
2. Risk prediction models for selection of lung cancer screening candidates: A retrospective validation study. Ten Haaf K; Jeon J; Tammemägi MC; Han SS; Kong CY; Plevritis SK; Feuer EJ; de Koning HJ; Steyerberg EW; Meza R PLoS Med; 2017 Apr; 14(4):e1002277. PubMed ID: 28376113 [TBL] [Abstract][Full Text] [Related]
3. OWL: an optimized and independently validated machine learning prediction model for lung cancer screening based on the UK Biobank, PLCO, and NLST populations. Pan Z; Zhang R; Shen S; Lin Y; Zhang L; Wang X; Ye Q; Wang X; Chen J; Zhao Y; Christiani DC; Li Y; Chen F; Wei Y EBioMedicine; 2023 Feb; 88():104443. PubMed ID: 36701900 [TBL] [Abstract][Full Text] [Related]
4. Implications of Nine Risk Prediction Models for Selecting Ever-Smokers for Computed Tomography Lung Cancer Screening. Katki HA; Kovalchik SA; Petito LC; Cheung LC; Jacobs E; Jemal A; Berg CD; Chaturvedi AK Ann Intern Med; 2018 Jul; 169(1):10-19. PubMed ID: 29800127 [TBL] [Abstract][Full Text] [Related]
5. Identifying high risk individuals for targeted lung cancer screening: Independent validation of the PLCO Weber M; Yap S; Goldsbury D; Manners D; Tammemagi M; Marshall H; Brims F; McWilliams A; Fong K; Kang YJ; Caruana M; Banks E; Canfell K Int J Cancer; 2017 Jul; 141(2):242-253. PubMed ID: 28249359 [TBL] [Abstract][Full Text] [Related]
6. Deep Learning Using Chest Radiographs to Identify High-Risk Smokers for Lung Cancer Screening Computed Tomography: Development and Validation of a Prediction Model. Lu MT; Raghu VK; Mayrhofer T; Aerts HJWL; Hoffmann U Ann Intern Med; 2020 Nov; 173(9):704-713. PubMed ID: 32866413 [TBL] [Abstract][Full Text] [Related]
7. A simple model for predicting lung cancer occurrence in a lung cancer screening program: The Pittsburgh Predictor. Wilson DO; Weissfeld J Lung Cancer; 2015 Jul; 89(1):31-7. PubMed ID: 25863905 [TBL] [Abstract][Full Text] [Related]
8. Development and Validation of a Multivariable Lung Cancer Risk Prediction Model That Includes Low-Dose Computed Tomography Screening Results: A Secondary Analysis of Data From the National Lung Screening Trial. Tammemägi MC; Ten Haaf K; Toumazis I; Kong CY; Han SS; Jeon J; Commins J; Riley T; Meza R JAMA Netw Open; 2019 Mar; 2(3):e190204. PubMed ID: 30821827 [TBL] [Abstract][Full Text] [Related]
9. Analysis of lung cancer risk model (PLCO Lebrett MB; Balata H; Evison M; Colligan D; Duerden R; Elton P; Greaves M; Howells J; Irion K; Karunaratne D; Lyons J; Mellor S; Myerscough A; Newton T; Sharman A; Smith E; Taylor B; Taylor S; Walsham A; Whittaker J; Barber PV; Tonge J; Robbins HA; Booton R; Crosbie PAJ Thorax; 2020 Aug; 75(8):661-668. PubMed ID: 32631933 [TBL] [Abstract][Full Text] [Related]
10. Predicting the future risk of lung cancer: development, and internal and external validation of the CanPredict (lung) model in 19·67 million people and evaluation of model performance against seven other risk prediction models. Liao W; Coupland CAC; Burchardt J; Baldwin DR; ; Gleeson FV; Hippisley-Cox J Lancet Respir Med; 2023 Aug; 11(8):685-697. PubMed ID: 37030308 [TBL] [Abstract][Full Text] [Related]
11. Assessing eligibility for lung cancer screening using parsimonious ensemble machine learning models: A development and validation study. Callender T; Imrie F; Cebere B; Pashayan N; Navani N; van der Schaar M; Janes SM PLoS Med; 2023 Oct; 20(10):e1004287. PubMed ID: 37788223 [TBL] [Abstract][Full Text] [Related]
12. Participant selection for lung cancer screening by risk modelling (the Pan-Canadian Early Detection of Lung Cancer [PanCan] study): a single-arm, prospective study. Tammemagi MC; Schmidt H; Martel S; McWilliams A; Goffin JR; Johnston MR; Nicholas G; Tremblay A; Bhatia R; Liu G; Soghrati K; Yasufuku K; Hwang DM; Laberge F; Gingras M; Pasian S; Couture C; Mayo JR; Nasute Fauerbach PV; Atkar-Khattra S; Peacock SJ; Cressman S; Ionescu D; English JC; Finley RJ; Yee J; Puksa S; Stewart L; Tsai S; Haider E; Boylan C; Cutz JC; Manos D; Xu Z; Goss GD; Seely JM; Amjadi K; Sekhon HS; Burrowes P; MacEachern P; Urbanski S; Sin DD; Tan WC; Leighl NB; Shepherd FA; Evans WK; Tsao MS; Lam S; Lancet Oncol; 2017 Nov; 18(11):1523-1531. PubMed ID: 29055736 [TBL] [Abstract][Full Text] [Related]
13. Evaluation of risk prediction models to select lung cancer screening participants in Europe: a prospective cohort consortium analysis. Feng X; Goodley P; Alcala K; Guida F; Kaaks R; Vermeulen R; Downward GS; Bonet C; Colorado-Yohar SM; Albanes D; Weinstein SJ; Goldberg M; Zins M; Relton C; Langhammer A; Skogholt AH; Johansson M; Robbins HA Lancet Digit Health; 2024 Sep; 6(9):e614-e624. PubMed ID: 39179310 [TBL] [Abstract][Full Text] [Related]
15. 'Reduced' HUNT model outperforms NLST and NELSON study criteria in predicting lung cancer in the Danish screening trial. Røe OD; Markaki M; Tsamardinos I; Lagani V; Nguyen OTD; Pedersen JH; Saghir Z; Ashraf HG BMJ Open Respir Res; 2019; 6(1):e000512. PubMed ID: 31803478 [TBL] [Abstract][Full Text] [Related]
16. LDCT lung cancer screening in populations at different risk for lung cancer. Teles GBDS; Macedo ACS; Chate RC; Valente VAT; Funari MBG; Szarf G BMJ Open Respir Res; 2020 Feb; 7(1):. PubMed ID: 33371010 [TBL] [Abstract][Full Text] [Related]
17. USPSTF2013 versus PLCOm2012 lung cancer screening eligibility criteria (International Lung Screening Trial): interim analysis of a prospective cohort study. Tammemägi MC; Ruparel M; Tremblay A; Myers R; Mayo J; Yee J; Atkar-Khattra S; Yuan R; Cressman S; English J; Bedard E; MacEachern P; Burrowes P; Quaife SL; Marshall H; Yang I; Bowman R; Passmore L; McWilliams A; Brims F; Lim KP; Mo L; Melsom S; Saffar B; Teh M; Sheehan R; Kuok Y; Manser R; Irving L; Steinfort D; McCusker M; Pascoe D; Fogarty P; Stone E; Lam DCL; Ng MY; Vardhanabhuti V; Berg CD; Hung RJ; Janes SM; Fong K; Lam S Lancet Oncol; 2022 Jan; 23(1):138-148. PubMed ID: 34902336 [TBL] [Abstract][Full Text] [Related]
18. Development and Validation of Risk Models to Select Ever-Smokers for CT Lung Cancer Screening. Katki HA; Kovalchik SA; Berg CD; Cheung LC; Chaturvedi AK JAMA; 2016 Jun; 315(21):2300-11. PubMed ID: 27179989 [TBL] [Abstract][Full Text] [Related]
19. Identifying high-risk individuals for lung cancer screening: Going beyond NLST criteria. Fu M; Travier N; Martín-Sánchez JC; Martínez-Sánchez JM; Vidal C; Garcia M; PLoS One; 2018; 13(4):e0195441. PubMed ID: 29621354 [TBL] [Abstract][Full Text] [Related]
20. Risk prediction models versus simplified selection criteria to determine eligibility for lung cancer screening: an analysis of German federal-wide survey and incidence data. Hüsing A; Kaaks R Eur J Epidemiol; 2020 Oct; 35(10):899-912. PubMed ID: 32594286 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]