Studywise Participant Characteristics for a Carotid Intima-Media Thickness Meta-Analysis

Supplementary Material 5 from a 2026 machine-learning meta-analysis investigating ferritin and transferrin as predictors of carotid artery thickness. The dataset, authored by Anand Ruban Agarvas and shared under a CC-BY-4.0 license, provides a studywise breakdown of participant characteristics. It is a 10.2 KB XLSX file hosted on figshare.

Use Cases

• Comparing demographic and clinical variables across different studies based on the participant characteristics breakdown.
• Assessing population representativeness and potential selection bias in a meta-analysis based on the aggregated study data.
• Informing feature selection for predictive models of carotid intima-media thickness based on the available participant variables.

Strengths

• Data is directly linked to a peer-reviewed machine-learning informed meta-analysis, providing research context.
• Shared under a permissive CC-BY-4.0 license, allowing for broad reuse and redistribution.
• File is a small 10.2 KB XLSX, ensuring quick download and easy initial inspection.

Limitations

• Description metadata is limited; actual data quality and variable definitions require manual inspection after download.
• Row count and specific column names are unknown, which limits suitability assessment for analysis.
• Column-level documentation is absent; field semantics must be inferred from the original study.

Provenance

Source

figshare, as supplementary material for a published research analysis.

Collection Method

Aggregated as part of an individual participant data meta-analysis.

Time Range

Implied by the 2026 publication date, but specific study collection dates are unknown.

Freshness

Last updated 2026-04-28 04:02:36; freshness should be verified.

Geography

Likely international given the meta-analysis nature, but specific coverage is unknown.