An epidemiologic risk prediction model for ovarian cancer in Europe: the EPIC study

BACKGROUND: Ovarian cancer has a high case-fatality ratio, largely due to late diagnosis. Epidemiologic risk prediction models could help identify women at increased risk who may benefit from targeted prevention measures, such as screening or chemopreventive agents. METHODS: We built an ovarian canc...

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Gepubliceerd in:Br J Cancer
Hoofdauteurs: Li, K, Hüsing, A, Fortner, R T, Tjønneland, A, Hansen, L, Dossus, L, Chang-Claude, J, Bergmann, M, Steffen, A, Bamia, C, Trichopoulos, D, Trichopoulou, A, Palli, D, Mattiello, A, Agnoli, C, Tumino, R, Onland-Moret, N C, Peeters, P H, Bueno-de-Mesquita, H B(as), Gram, I T, Weiderpass, E, Sánchez-Cantalejo, E, Chirlaque, M-D, Duell, E J, Ardanaz, E, Idahl, A, Lundin, E, Khaw, K-T, Travis, R C, Merritt, M A, Gunter, M J, Riboli, E, Ferrari, P, Terry, K, Cramer, D, Kaaks, R
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Nature Publishing Group 2015
Onderwerpen:
Epidemiology
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4385951/
https://ncbi.nlm.nih.gov/pubmed/25742479
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/bjc.2015.22
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