Recent development of risk-prediction models for incident hypertension: An updated systematic review.

ABSTRACT:

Background

Hypertension is a leading global health threat and a major cardiovascular disease. Since clinical interventions are effective in delaying the disease progression from prehypertension to hypertension, diagnostic prediction models to identify patient populations at high risk for hypertension are imperative.

Methods

Both PubMed and Embase databases were searched for eligible reports of either prediction models or risk scores of hypertension. The study data were collected, including risk factors, statistic methods, characteristics of study design and participants, performance measurement, etc.

Results

From the searched literature, 26 studies reporting 48 prediction models were selected. Among them, 20 reports studied the established models using traditional ris

SUBMITTER: Sun D 

PROVIDER: S-EPMC5662179 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature