Prediction and clinical utility of a contralateral breast cancer risk model. ...

BACKGROUND: 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. METHODS: 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... Mehr ...

Verfasser: Giardiello, Daniele
Steyerberg, Ewout W
Hauptmann, Michael
Adank, Muriel A
Akdeniz, Delal
Blomqvist, Carl
Bojesen, Stig E
Bolla, Manjeet K
Brinkhuis, Mariël
Chang-Claude, Jenny
Czene, Kamila
Devilee, Peter
Dunning, Alison M
Easton, Douglas F
Eccles, Diana M
Fasching, Peter A
Figueroa, Jonine
Flyger, Henrik
García-Closas, Montserrat
Haeberle, Lothar
Haiman, Christopher A
Hall, Per
Hamann, Ute
Hopper, John L
Jager, Agnes
Jakubowska, Anna
Jung, Audrey
Keeman, Renske
Kramer, Iris
Lambrechts, Diether
Le Marchand, Loic
Lindblom, Annika
Lubiński, Jan
Manoochehri, Mehdi
Mariani, Luigi
Nevanlinna, Heli
Oldenburg, Hester SA
Pelders, Saskia
Pharoah, Paul DP
Shah, Mitul
Siesling, Sabine
Smit, Vincent THBM
Southey, Melissa C
Tapper, William J
Tollenaar, Rob AEM
Van Den Broek, Alexandra J
Van Deurzen, Carolien HM
Van Leeuwen, Flora E
Van Ongeval, Chantal
Van't Veer, Laura J
Dokumenttyp: Scholarlyarticle
Erscheinungsdatum: 2019
Verlag/Hrsg.: Springer Science and Business Media LLC
Schlagwörter: BRCA mutation carriers / Clinical decision-making / Contralateral breast cancer / Risk prediction model / Area Under Curve / BRCA1 Protein / BRCA2 Protein / Breast Neoplasms / Clinical Decision-Making / Disease Management / Disease Susceptibility / Female / Germ-Line Mutation / Humans / Neoplasms / Second Primary / Netherlands / Prognosis / Proportional Hazards Models / Risk Assessment / Risk Factors
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-29160447
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://dx.doi.org/10.17863/cam.48135