Cardiovascular risk prediction models for women in the general population: A systematic review.

ABSTRACT:

Aim

To provide a comprehensive overview of cardiovascular disease (CVD) risk prediction models for women and models that include female-specific predictors.

Methods

We performed a systematic review of CVD risk prediction models for women in the general population by updating a previous review. We searched Medline and Embase up to July 2017 and included studies in which; (a) a new model was developed, (b) an existing model was validated, or (c) a predictor was added to an existing model.

Results

A total of 285 prediction models for women have been developed, of these 160 (56%) were female-specific models, in which a separate model was developed solely in women and 125 (44%) were sex-predictor models. Out of the 160 female-specific models, 2 (1.3%) included one or more

SUBMITTER: Baart SJ 

PROVIDER: S-EPMC6324808 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature