Prediction models for cardiovascular disease risk in the general population: systematic review.

ABSTRACT:

Objective

 To provide an overview of prediction models for risk of cardiovascular disease (CVD) in the general population.

Design

 Systematic review.

Data sources

 Medline and Embase until June 2013.

Eligibility criteria for study selection

 Studies describing the development or external validation of a multivariable model for predicting CVD risk in the general population.

Results

 9965 references were screened, of which 212 articles were included in the review, describing the development of 363 prediction models and 473 external validations. Most models were developed in Europe (n=167, 46%), predicted risk of fatal or non-fatal coronary heart disease (n=118, 33%) over a 10 year period (n=209, 58%). The most common predictors were smoking (n=325, 90%) an

SUBMITTER: Damen JA 

PROVIDER: S-EPMC4868251 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature