Risk prediction models for breast cancer: a systematic review

ABSTRACT:

Objectives

To systematically review and critically appraise published studies of risk prediction models for breast cancer in the general population without breast cancer, and provide evidence for future research in the field.

Design

Systematic review using the Prediction model study Risk Of Bias Assessment Tool (PROBAST) framework.

Data sources

PubMed, the Cochrane Library and Embase were searched from inception to 16 December 2021.

Eligibility criteria

We included studies reporting multivariable models to estimate the individualised risk of developing female breast cancer among different ethnic groups. Search was limited to English language only.

Data extraction and synthesis

Two reviewers independently screened, reviewed, extracted and assesse

SUBMITTER: Zheng Y 

PROVIDER: S-EPMC9301785 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature