Background Clinical prediction models are often not evaluated properly in specific settings
or updated, for instance, with information from new markers. These key steps are needed …

Background Breast cancer is the most common cancer in women worldwide, with a great
diversity in outcomes among individual patients. The ability to accurately predict a breast …

Background PREDICT is a breast cancer prognostic and treatment benefit model
implemented online. The overall fit of the model has been good in multiple independent …

OBJECTIVE Quality and outcomes registry platforms lie at the center of many emerging
evidence-driven reform models. Specifically, clinical registry data are progressively …

Background Over the recent years, machine learning methods have been increasingly
explored in cancer prognosis because of the appearance of improved machine learning …

Objective: Chinese women are seriously threatened by breast cancer with high morbidity
and mortality. The lack of robust prognosis models results in difficulty for doctors to prepare …

Background PREDICT version 2.0 is increasingly used to estimate prognosis in breast
cancer. This study aimed to validate this tool in specific prognostic subgroups in the …

Importance Online prognostication tools such as PREDICT and Adjuvant! are increasingly
used in clinical practice by oncologists to inform patients and guide treatment decisions …

Objectives To develop a new interface for the widely used prognostic breast cancer tool:
Predict: Breast Cancer. To facilitate decision‐making around post‐surgery breast cancer …

We assessed the PREDICT v 2.2 for prognosis of breast cancer patients with pathogenic
germline BRCA1 and BRCA2 variants, using follow-up data from 5453 BRCA1/2 carriers …