Clinical Biomarker Data for Cerebral Malaria in African Children

A 2026 replication dataset by Shaban Mwangi contains clinical characteristics and ELISA analyte measurements from a study on African children with coma. The data supports research into differentiating cerebral malaria from other coma etiologies using specific protein biomarkers like Angiopoietin-like-4 and Inhibin-beta E.

Use Cases

• Analyze Angiopoietin-like-4 and Inhibin-beta E biomarker levels to differentiate cerebral malaria from other coma causes.
• Correlate clinical characteristics with measured ELISA analyte concentrations to identify diagnostic patterns.
• Validate the replication findings by examining relationships between clinical measurements and quantified biomarkers.

Strengths

• Dataset is a direct replication for a peer-reviewed manuscript, ensuring research relevance.
• Includes specific, quantified protein biomarkers like Angiopoietin-like-4 and Inhibin-beta E.
• Focuses on a clinically distinct population: African children presenting with coma.

Limitations

• Unknown sample size (row count) limits assessment of statistical power.
• Column names and data structure are unspecified, complicating immediate analysis.
• Geographic scope within Africa is not detailed, which may limit generalizability.

Provenance

Source

Biosciences Dataverse, authored by Shaban Mwangi.

Collection Method

Clinical study data, including patient characteristics and laboratory ELISA measurements.

Freshness

Last updated on 2026-01-19.

Geography

African children (specific countries not stated).