Left Atrial Strain Parameters for Predicting New-Onset Atrial Fibrillation

39 studies involving 20,681 subjects were incorporated into this systematic review and meta-analysis. The document, authored by Haijian Yang and last updated in June 2026, quantitatively evaluates the predictive value of left atrial strain parameters for new-onset atrial fibrillation. It reports pooled risk ratios and diagnostic performance metrics, including area under the curve values up to 0.84.

Use Cases

• Training predictive models for new-onset atrial fibrillation based on left atrial strain parameters.
• Benchmarking diagnostic performance of echocardiography-derived strain measurements.
• Conducting secondary meta-analyses on cardiac imaging biomarkers.
• Informing clinical guideline development for atrial fibrillation risk assessment.

Strengths

• Systematic review incorporates 39 studies with a total of 20,681 subjects.
• Reports specific diagnostic performance metrics, including AUC values up to 0.84.
• Licensed under CC-BY-4.0 for open sharing and reuse.

Limitations

• The 1.3 MB file is a DOCX document, not a structured dataset; column-level documentation is absent.
• Row count is unknown, which may limit suitability assessment for direct data analysis.
• Data may reflect publication bias inherent to meta-analyses of published studies.

Provenance

Source

figshare

Collection Method

Systematic review and meta-analysis of studies from PubMed, Embase, Cochrane Library, and Web of Science.

Time Range

Literature retrieved up to July 30, 2025.

Freshness

Last updated 2026-06-03 04:48:46.