Caricamento...

Are we ready to predict late effects? A systematic review of clinically useful prediction models

BACKGROUND: After completing treatment for cancer, survivors may experience late effects: consequences of treatment that persist or arise after a latent period. PURPOSE: To identify and describe all models that predict the risk of late effects and could be used in clinical practice. DATA SOURCES: We...

Descrizione completa

Salvato in:
Dettagli Bibliografici
Pubblicato in:Eur J Cancer
Autori principali: Salz, Talya, Baxi, Shrujal S., Raghunathan, Nirupa, Onstad, Erin E., Freedman, Andrew N., Moskowitz, Chaya S., Dalton, Susanne O., Goodman, Karyn A., Johansen, Christoffer, Matasar, Matthew J., Brown, Peter de Nully, Oeffinger, Kevin C., Vickers, Andrew J.
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2015
Soggetti:
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC4518853/
https://ncbi.nlm.nih.gov/pubmed/25736818
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ejca.2015.02.002
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne! !