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

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 analysis were to explore prognosis factors in training cohort. Competing risk nomograms were constructed to combine significant prognostic factors to predict the 3-year and the 5-year survival of patients with BPBC. At last, in the validation cohort, the new score performance was evaluated with respect to the area under curve, concord

SUBMITTER: Shen K 

PROVIDER: S-EPMC6912037 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature