Performance of risk prediction models for diabetic foot ulcer: a meta-analysis.

ABSTRACT:

Background

The number of prediction models for diabetic foot ulcer (DFU) risk is increasing, but their methodological quality and clinical applicability are uncertain. We conducted a systematic review to assess their performance.

Methods

We searched PubMed, Cochrane Library, and Embase databases up to 10 February 2024 and extracted relevant information from selected prediction models. The Prediction model Risk Of Bias ASsessment Tool (PROBAST) checklist was used to assess bias risk and applicability. All statistical analyses were conducted in Stata 14.0.

Results

Initially, 13,562 studies were retrieved, leading to the inclusion of five development and five validation models from eight studies. DFU incidence ranged from 6% to 16.8%, with age and hemoglobin A1C (HbA1c)

SUBMITTER: Guo P 

PROVIDER: S-EPMC11260075 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature