Development and validation of clinical prediction models for breast cancer incidence and mortality: a protocol for a dual cohort study.

ABSTRACT:

Introduction

Breast cancer is the most common cancer and the leading cause of cancer-related death in women worldwide. Risk prediction models may be useful to guide risk-reducing interventions (such as pharmacological agents) in women at increased risk or inform screening strategies for early detection methods such as screening.

Methods and analysis

The study will use data for women aged 20-90 years between 2000 and 2020 from QResearch linked at the individual level to hospital episodes, cancer registry and death registry data. It will evaluate a set of modelling approaches to predict the risk of developing breast cancer within the next 10 years, the 'combined' risk of developing a breast cancer and then dying from it within 10 years, and the risk of breast cancer mortality

SUBMITTER: Clift AK 

PROVIDER: S-EPMC8961149 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature