Table 2_Association of systemic inflammation response index and triglyceride-glucose index

A retrospective cross-sectional study of 1,019 coronary artery disease patients conducted at a single center. The dataset likely contains clinical measurements, including Systemic Inflammation Response Index (SIRI) and Triglyceride-Glucose Index (TyG), used to analyze their association with coronary artery stenosis severity. The data was published by Yazhao Sun on figshare under a CC-BY-4.0 license.

Use Cases

• Predicting coronary artery stenosis severity based on inflammation and insulin resistance indices.
• Analyzing the additive interaction between SIRI and TyG indices for risk stratification.
• Evaluating the predictive performance improvement of SIRI and TyG over traditional risk models.
• Investigating the mediating relationships between inflammation, insulin resistance, and stenosis severity.

Strengths

• Includes 1,019 patient records.
• Provides specific statistical results, including odds ratios (OR: 4.912) and correlation coefficients (ρ = 0.435).
• Analysis includes multivariable logistic regression, ROC curves, and mediation analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is from a single-center study, which may reflect geographic or institutional bias.

Provenance

Source

figshare, authored by Yazhao Sun.

Collection Method

Retrospective cross-sectional study at a single center.

Freshness

Last updated 2026-05-18 04:17:03; freshness should be verified.