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...

Descrizione completa

Salvato in:
Dettagli Bibliografici
Pubblicato in:JAMA Netw Open
Autori principali: Tammemägi, Martin C., ten Haaf, Kevin, Toumazis, Iakovos, Kong, Chung Yin, Han, Summer S., Jeon, Jihyoun, Commins, John, Riley, Thomas, Meza, Rafael
Natura: Artigo
Lingua:Inglês
Pubblicazione: American Medical Association 2019
Soggetti:
Original Investigation
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6484623/
https://ncbi.nlm.nih.gov/pubmed/30821827
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamanetworkopen.2019.0204
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne! !

Documenti analoghi