PredictCBC-2.0B: 10-year contralateral breast cancer risk prediction model - Evidencio
PredictCBC-2.0B: 10-year contralateral breast cancer risk prediction model
The predictCBC-2.0B model is a time-dependent risk prediction for contralateral breast cancer.  It can support clinical decision-making regarding personalized follow-up strategies. 
Research authors: Daniele Giardiello, Maartje J Hooning, Michael Hauptmann, Renske Keeman, Bernadette A. M Heemskerk-Gerritsen, Heiko Becker, Carl Blomqvist, Stig E Bojesen, Manjeet K Bolla, Nicola J Camp, Kamila Czene, Peter Devilee, Diana M Eccles, Peter A Fasching, Jonine D Figueroa, Henrik Flyger, Montserrat García-Closas, Christopher A Haiman, Ute Hamann, John L Hopper, Anna Jakubowska, Floor E Leeuwen, Annika Lindblom, Jan Lubiński, Sara Margolin, Maria Elena Martinez, Heli Nevanlinna, Ines Nevelsteen, Saskia Pelders, Paul D.P Pharoah, Sabine Siesling, Melissa C Southey, Annemieke H van der Hout, Liselotte P van Hest, Jenny Chang-Claude, Per Hall, Douglas F Easton, Ewout W Steyerberg, Marjanka K Schmidt
Version: 1.4
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The 10-year risk for contralateral breast cancer is

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A total of 207,510 women with invasive first primary BC were diagnosed between 1990 and 2017, with 8,225 CBC events (6,828 invasive, 1,397 in situ), from 23 studies, were used for prediction modeling for CBC risk.

The AUC of PredictCBC-2.0B  at 10 years is: 0.58, 95%PI:0.51–0.65.

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This algorithm is provided for educational, training and information purposes. It must not be used to support medical decision making, or to provide medical or diagnostic services. Read our full disclaimer.

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