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

IMPORTANCE: Low-dose computed tomography lung cancer screening is most effective when applied to high-risk individuals. OBJECTIVES: To develop and validate a risk prediction model that incorporates low-dose computed tomography screening results. DESIGN, SETTING, AND PARTICIPANTS: A logistic regressi...

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Detalles Bibliográficos
Autores principales: Tammemägi, Martin C., ten Haaf, Kevin, Toumazis, Iakovos, Kong, Chung Yin, Han, Summer S., Jeon, Jihyoun, Commins, John, Riley, Thomas, Meza, Rafael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2019
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6484623/
https://www.ncbi.nlm.nih.gov/pubmed/30821827
http://dx.doi.org/10.1001/jamanetworkopen.2019.0204

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6484623/
https://www.ncbi.nlm.nih.gov/pubmed/30821827
http://dx.doi.org/10.1001/jamanetworkopen.2019.0204

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