Precision prognostics for cardiovascular disease in Type 2 diabetes: a systematic review and meta-analysis.

ABSTRACT:

Background

Precision medicine has the potential to improve cardiovascular disease (CVD) risk prediction in individuals with Type 2 diabetes (T2D).

Methods

We conducted a systematic review and meta-analysis of longitudinal studies to identify potentially novel prognostic factors that may improve CVD risk prediction in T2D. Out of 9380 studies identified, 416 studies met inclusion criteria. Outcomes were reported for 321 biomarker studies, 48 genetic marker studies, and 47 risk score/model studies.

Results

Out of all evaluated biomarkers, only 13 showed improvement in prediction performance. Results of pooled meta-analyses, non-pooled analyses, and assessments of improvement in prediction performance and risk of bias, yielded the highest predictive utility for N-termina

SUBMITTER: Ahmad A 

PROVIDER: S-EPMC10803333 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature