Diagnostic Performance of Plasma p-Tau Biomarkers for Alzheimer's Disease

Xiaofen Chen's meta-analysis dataset compares the diagnostic accuracy of plasma phosphorylated tau isoforms p-Tau217, p-Tau181, and p-Tau231 for Alzheimer's disease. It aggregates results from 18 high-quality studies comprising 24 independent datasets and 4,736 participants. The data was last updated on June 3, 2026.

Use Cases

• Compare diagnostic accuracy of different p-tau isoforms based on the reported Area Under the Curve (AUC) values.
• Evaluate the performance of mass spectrometry versus immunoassay platforms for biomarker detection.
• Assess biomarker utility for disease staging and predicting cognitive decline based on the study's conclusions.
• Investigate the incremental value of biomarker ratios, such as p-tau217/Aβ42, for diagnostic accuracy.

Strengths

• Aggregates data from 18 high-quality studies and 4,736 participants.
• Includes rigorous screening for statistical independence across overlapping cohorts.
• Compares multiple biomarkers (p-tau217, p-tau181, p-tau231) and analytical platforms.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (11.7 KB), indicating limited scope.

Provenance

Source

figshare

Collection Method

Systematic review and network meta-analysis of published studies.

Freshness

Last updated 2026-06-03 06:45:16; freshness should be verified.