Discrimination and calibration performances of non-laboratory-based and laboratory-based cardiovascular risk predictions: a systematic review.

ABSTRACT:

Background and objective

This review compares non-laboratory-based and laboratory-based cardiovascular disease (CVD) risk prediction equations in populations targeted for primary prevention.

Design

Systematic review.

Methods

We searched five databases until 12 March 2024 and used prediction study risk of bias assessment tool to assess bias. Data on hazard ratios (HRs), discrimination (paired c-statistics) and calibration were extracted. Differences in c-statistics and HRs were analysed.

Protocol

PROSPERO (CRD42021291936).

Results

Nine studies (1 238 562 participants, 46 cohorts) identified six unique CVD risk equations. Laboratory predictors (eg, cholesterol and diabetes) had strong HRs, while body mass index in non-laboratory models showed limited effec

SUBMITTER: Alemu YM 

PROVIDER: S-EPMC11815431 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature