Can risk be predicted? An umbrella systematic review of current risk prediction models for cardiovascular diseases, diabetes and hypertension.

ABSTRACT:

Objective

To provide an overview of the currently available risk prediction models (RPMs) for cardiovascular diseases (CVDs), diabetes and hypertension, and to compare their effectiveness in proper recognition of patients at risk of developing these diseases.

Design

Umbrella systematic review.

Data sources

PubMed, Scopus, Cochrane Library.

Eligibility criteria

Systematic reviews or meta-analysis examining and comparing performances of RPMs for CVDs, hypertension or diabetes in healthy adult (18-65 years old) population, published in English language.

Data extraction and synthesis

Data were extracted according to the following parameters: number of studies included, intervention (RPMs applied/assessed), comparison, performance, validation and outcomes. A

SUBMITTER: Lucaroni F 

PROVIDER: S-EPMC6937066 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature