Worse characteristics can predict survival effectively in bilateral primary breast cancer: A competing risk nomogram using the SEER database

Volume: 8, Issue: 18, Pages: 7890 - 7902
Published: Oct 30, 2019
Abstract
Objective There is limited information from population‐based cancer registries regarding prognostic features of bilateral primary breast cancer (BPBC). Methods Female patients diagnosed with BPBC between 2004 and 2014 were randomly divided into training (n = 7740) and validation (n = 2579) cohorts from the Surveillance, Epidemiology, and End Results Database. We proposed five various models. Multivariate Cox hazard regression and competing risk...
Paper Details
Title
Worse characteristics can predict survival effectively in bilateral primary breast cancer: A competing risk nomogram using the SEER database
Published Date
Oct 30, 2019
Volume
8
Issue
18
Pages
7890 - 7902
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