Predictive models of diabetes complications: protocol for a scoping review.

ABSTRACT:

Background

Diabetes is a highly prevalent chronic disease that places a large burden on individuals and health care systems. Models predicting the risk (also called predictive models) of other conditions often compare people with and without diabetes, which is of little to no relevance for people already living with diabetes (called patients). This review aims to identify and synthesize findings from existing predictive models of physical and mental health diabetes-related conditions.

Methods

We will use the scoping review frameworks developed by the Joanna Briggs Institute and Levac and colleagues. We will perform a comprehensive search for studies from Ovid MEDLINE and Embase databases. Studies involving patients with prediabetes and all types of diabetes will be considere

SUBMITTER: Ndjaboue R 

PROVIDER: S-EPMC7282106 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature