Development and validation of a risk prediction model for premenopausal breast cancer in 19 cohorts

Development and validation of a risk prediction model for premenopausal breast cancer in 19 cohorts

Abstract Background Incidence of premenopausal breast cancer (BC) has risen in recent years, though most existing BC prediction models are not generalizable to young women due to underrepresentation of this age group in model development. Methods Using questionnaire-based data from 19 prospective st...

Full description

Saved in:
Bibliographic Details
Main Authors: Kristen D. Brantley, Michael E. Jones, Rulla M. Tamimi, Bernard A. Rosner, Peter Kraft, Hazel B. Nichols, Katie M. O’Brien, Hans-Olov Adami, Amaia Aizpurua, Amy Berrington de González, William J. Blot, Tonje Braaten, Yu Chen, Jessica Clague DeHart, Laure Dossus, Sjoerd Elias, Renée T. Fortner, Montserrat Garcia-Closas, Inger T. Gram, Niclas Håkansson, Susan E. Hankinson, Cari M. Kitahara, Woon-Puay Koh, Martha S. Linet, Robert J. MacInnis, Giovanna Masala, Lene Mellemkjær, Roger L. Milne, David C. Muller, Hannah Lui Park, Kathryn J. Ruddy, Sven Sandin, Xiao-Ou Shu, Sandar Tin Tin, Thérèse Truong, Celine M. Vachon, Lars J. Vatten, Kala Visvanathan, Elisabete Weiderpass, Walter Willett, Alicja Wolk, Jian-Min Yuan, Wei Zheng, Dale P. Sandler, Minouk J. Schoemaker, Anthony J. Swerdlow, A. Heather Eliassen
Format: Article
Language:English
Published: BMC 2025-05-01
Series:Breast Cancer Research
Subjects:
Risk prediction model
Premenopausal breast cancer
Young-onset breast cancer
Online Access:https://doi.org/10.1186/s13058-025-02031-8
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s13058-025-02031-8

Similar Items