Unknown

Dataset Information

Female breast cancer incidence predisposing risk factors identification using nationwide big data: a matched nested case-control study in Taiwan.


ABSTRACT:

Background

Breast cancer is an umbrella term referring to a group of biologically and molecularly heterogeneous diseases originating from the breast. Globally, incidences of breast cancer has been increasing dramatically over the past decades. Analyses of multiple clinical "big data" can aid us in clarifying the means of preventing the disease. In addition, predisposing risk factors will be the most important issues if we can confirm their relevance. This study aims to provide an overview of the predisposing factors that contribute to a higher possibility of developing breast cancer and emphasize the signs that we ought to pay more attention to.

Methods

This is a matched nested case-control study. The cohort focused on identifying the eligible risk factors in breast cancer d

SUBMITTER: Liu PH 

PROVIDER: S-EPMC9351234 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature