Additional file 2 of PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients
Year: 2022
Type: dataset
Abstract: Additional file 2: Table S1. Description of the studies included in the analyses.
Source: Figshare
Authors: 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.
Institutions: Eurac Research, Leiden University Medical Center, The Netherlands Cancer Institute, Institute for Biomedicine, Erasmus MC Cancer Institute, Medizinische Hochschule Brandenburg Theodor Fontane, University Medical Center Hamburg-Eppendorf, University of Helsinki, Örebro University Hospital, University of Copenhagen, Herlev Hospital, Copenhagen University Hospital, Gentofte Hospital, University of Cambridge, University of Utah, Karolinska Institutet, University of Southampton, University of California, Los Angeles, Universitätsklinikum Erlangen, National Cancer Institute, University of Edinburgh, University of Southern California, German Cancer Research Center, The University of Melbourne, Pomeranian Medical University, Karolinska University Hospital, Stockholm South General Hospital, University of California San Diego, Universitair Ziekenhuis Leuven, Netherlands Comprehensive Cancer Organisation, University of Twente, Cancer Council Victoria, Monash University, University Medical Center Groningen, Vrije Universiteit Amsterdam, University Cancer Center Hamburg, Erasmus MC, Erasmus University Rotterdam
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W4394163815