Stroke Blood Biomarker Data from a Systematic Review and Meta-Analysis

A relational database aggregates raw data from a systematic review and meta-analysis of stroke blood biomarker studies. The dataset, created by the Neurodiagnostics Lab at Case Western Reserve University and published in 2026, includes R data frames and custom R scripts for replicating diagnostic performance analyses. The total repository size is 378.9 KB.

Use Cases

• Replicate diagnostic performance modeling based on the provided R scripts for unification and modeling.
• Conduct simulation experiments on ROC curve asymmetry using the included symmetry test code.
• Analyze aggregated biomarker performance data from the primary literature for systematic review validation.
• Study the structure of relational meta-analysis data in clinical research.

Strengths

• Includes raw data and essential code for full replication of published analyses.
• Repository contains multiple file types (RData, R, PDF) providing data and documentation.
• Published in Nature Communications in 2026, indicating peer-reviewed provenance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset's 378.9 KB size indicates a limited scope of aggregated summary data.

Provenance

Source

Neurodiagnostics Lab at Case Western Reserve University, from a systematic review and meta-analysis.

Collection Method

Aggregated from the primary literature and structured as a relational database.

Time Range

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Freshness

Last updated 2026-04-30 16:39:15.

Geography

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