Unknown

Dataset Information

Development and validation of a nomogram in survival prediction among advanced breast cancer patients.


ABSTRACT:

Background

The overall survival (OS) among patients with advanced breast cancer (ABC) varies greatly. Although molecular subtype is known as the most important factor in OS differentiation, significant differences in OS among patients with the same molecular subtype still occur, leading to the need for a more accurate prognostic prediction model. This study aimed to develop a prediction model (nomogram) based on current diagnosis and treatment to predict the OS of newly diagnosed ABC patients in China.

Methods

From the institution's database, we collected data of 368 ABC patients from Sun Yat-sen Memorial Hospital (national hospital) as a training set to establish a nomogram with prognostic risk factors that calculated the predicted probability of survival. Nomograms were in

SUBMITTER: Zhao J 

PROVIDER: S-EPMC7723627 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature