Interleukin Diagnostic Performance Metrics for Traumatic Brain Injury

5.5 KB of tabular data contains diagnostic performance metrics for interleukin biomarkers in traumatic brain injury (TBI). The dataset, created by Saiqa Nazeer, includes area under the curve (AUC), confidence intervals, cut-off values, sensitivity, and specificity. It was last updated in April 2026.

Use Cases

• Compare the diagnostic accuracy of different interleukin biomarkers using the provided AUC values and 95% confidence intervals.
• Identify optimal biomarker cut-off values for TBI diagnosis by analyzing the sensitivity and specificity data.
• Validate existing TBI diagnostic models by benchmarking against the reported performance metrics for interleukins.
• Assess the potential of specific interleukins as clinical biomarkers by examining their reported fair potential and significant differences from control groups.

Strengths

• Data includes specific diagnostic metrics: AUC, 95% CI, sensitivity, and specificity for each biomarker.
• Dataset is openly licensed under CC-BY-4.0, facilitating reuse and sharing.

Limitations

• The dataset is very small at 5.5 KB, indicating a limited scope or summary-level data rather than raw patient records.
• Sample size details (e.g., number of patients, studies) are not provided, limiting assessment of statistical power.

Provenance

Source

Saiqa Nazeer via figshare.

Collection Method

Likely aggregated from published studies analyzing interleukin levels in TBI patients versus control groups (e.g., 40 healthy subjects).

Freshness

Last updated in April 2026, indicating it is current.