PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients

BACKGROUND: Prediction of contralateral breast cancer (CBC) risk is challenging due to moderate performances of the known risk factors. We aimed to improve our previous risk prediction model (PredictCBC) by updated follow-up and including additional risk factors. METHODS: We included data from 207,5...

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Detalles Bibliográficos
Autores principales: Giardiello, Daniele, Hooning, Maartje J., Hauptmann, Michael, Keeman, Renske, Heemskerk-Gerritsen, B. A. M., Becher, Heiko, Blomqvist, Carl, Bojesen, Stig E., Bolla, Manjeet K., Camp, Nicola J., Czene, Kamila, Devilee, Peter, Eccles, Diana M., Fasching, Peter A., Figueroa, Jonine D., Flyger, Henrik, García-Closas, Montserrat, Haiman, Christopher A., Hamann, Ute, Hopper, John L., Jakubowska, Anna, Leeuwen, Floor E., Lindblom, Annika, Lubiński, Jan, Margolin, Sara, Martinez, Maria Elena, Nevanlinna, Heli, Nevelsteen, Ines, Pelders, Saskia, Pharoah, Paul D. P., Siesling, Sabine, Southey, Melissa C., van der Hout, Annemieke H., van Hest, Liselotte P., Chang-Claude, Jenny, Hall, Per, Easton, Douglas F., Steyerberg, Ewout W., Schmidt, Marjanka K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9585761/
https://www.ncbi.nlm.nih.gov/pubmed/36271417
http://dx.doi.org/10.1186/s13058-022-01567-3

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