%0 Journal Article
%A Giardiello, Daniele
%A Steyerberg, Ewout W
%A Hauptmann, Michael
%A Adank, Muriel A
%A Akdeniz, Delal
%A Blomqvist, Carl
%A Bojesen, Stig E
%A Bolla, Manjeet K
%A Brinkhuis, Mariël
%A Chang-Claude, Jenny
%A Czene, Kamila
%A Devilee, Peter
%A Dunning, Alison M
%A Easton, Douglas F
%A Eccles, Diana M
%A Fasching, Peter A
%A Figueroa, Jonine
%A Flyger, Henrik
%A García-Closas, Montserrat
%A Haeberle, Lothar
%A Haiman, Christopher A
%A Hall, Per
%A Hamann, Ute
%A Hopper, John L
%A Jager, Agnes
%A Jakubowska, Anna
%A Jung, Audrey
%A Keeman, Renske
%A Kramer, Iris
%A Lambrechts, Diether
%A Le Marchand, Loic
%A Lindblom, Annika
%A Lubiński, Jan
%A Manoochehri, Mehdi
%A Mariani, Luigi
%A Nevanlinna, Heli
%A Oldenburg, Hester S A
%A Pelders, Saskia
%A Pharoah, Paul D P
%A Shah, Mitul
%A Siesling, Sabine
%A Smit, Vincent T H B M
%A Southey, Melissa C
%A Tapper, William J
%A Tollenaar, Rob A E M
%A van den Broek, Alexandra J
%A van Deurzen, Carolien H M
%A van Leeuwen, Flora E
%A van Ongeval, Chantal
%A Van't Veer, Laura J
%A Wang, Qin
%A Wendt, Camilla
%A Westenend, Pieter J
%A Hooning, Maartje J
%A Schmidt, Marjanka K
%T Prediction and clinical utility of a contralateral breast cancer risk model.
%J Breast cancer research
%V 21
%N 1
%@ 1465-542X
%C London
%I BioMed Central
%M DKFZ-2020-00428
%P 144
%D 2019
%X Breast cancer survivors are at risk for contralateral breast cancer (CBC), with the consequent burden of further treatment and potentially less favorable prognosis. We aimed to develop and validate a CBC risk prediction model and evaluate its applicability for clinical decision-making.We included data of 132,756 invasive non-metastatic breast cancer patients from 20 studies with 4682 CBC events and a median follow-up of 8.8 years. We developed a multivariable Fine and Gray prediction model (PredictCBC-1A) including patient, primary tumor, and treatment characteristics and BRCA1/2 germline mutation status, accounting for the competing risks of death and distant metastasis. We also developed a model without BRCA1/2 mutation status (PredictCBC-1B) since this information was available for only 6
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:31847907
%2 pmc:PMC6918633
%R 10.1186/s13058-019-1221-1
%U https://inrepo02.dkfz.de/record/153731