Cardiac MRI Biomarkers for Cardiovascular Complications in Diabetes: A Systematic Review

Ning Li's systematic review and meta-analysis, last updated in May 2026, aggregates findings from 19 studies involving over 3,900 patients. The document synthesizes evidence on cardiac magnetic resonance biomarkers like extracellular volume fraction and myocardial perfusion reserve for detecting subclinical myocardial changes in diabetes. The analysis suggests these biomarkers provide insights into myocardial involvement but notes the need for more prospective trials.

Use Cases

• Summarizing evidence on the diagnostic performance of CMR biomarkers like ECV and MPRI for diabetic cardiomyopathy.
• Identifying gaps in the literature for future research on cardiac imaging in diabetes, as noted in the conclusions.
• Benchmarking meta-analysis results (e.g., standardized mean differences for ECV) against new primary studies.
• Informing the design of standardized protocols for prospective trials using CMR in diabetic populations.

Strengths

• The meta-analysis is based on 19 original studies, providing a synthesis of existing evidence.
• Includes quantitative results such as standardized mean differences (e.g., SMD=0.838 for ECV) and heterogeneity statistics (I²=97.4%).
• The document is openly licensed under CC-BY-4.0, permitting reuse with attribution.

Limitations

• The underlying data (e.g., patient-level records, study-level data) is not provided; the file is a review document.
• The review notes limitations including a small number of studies, cross-sectional design of most included studies, and methodological diversity.
• Row count and column-level documentation are absent, as the primary dataset is not included.

Provenance

Source

Author is Ning Li; organization is unknown.

Collection Method

Systematic review and meta-analysis of studies from PubMed, Scopus, Embase, ScienceDirect, and Google Scholar.

Freshness

Last updated 2026-05-28 04:36:06.