Incorporating progesterone receptor expression into the PREDICT breast prognostic model.

ABSTRACT:

Background

Predict Breast (www.predict.nhs.uk) is an online prognostication and treatment benefit tool for early invasive breast cancer. The aim of this study was to incorporate the prognostic effect of progesterone receptor (PR) status into a new version of PREDICT and to compare its performance to the current version (2.2).

Method

The prognostic effect of PR status was based on the analysis of data from 45,088 European patients with breast cancer from 49 studies in the Breast Cancer Association Consortium. Cox proportional hazard models were used to estimate the hazard ratio for PR status. Data from a New Zealand study of 11,365 patients with early invasive breast cancer were used for external validation. Model calibration and discrimination were used to test the model per

SUBMITTER: Grootes I 

PROVIDER: S-EPMC10412460 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature