APS Diagnostic Criteria Performance: Systematic Review and Network Meta-Analysis

A systematic review and network meta-analysis comparing the diagnostic performance of three antiphospholipid syndrome classification criteria. The analysis includes 7 studies with 8 research cohorts, covering 2,214 APS patients and 3,908 total subjects. The dataset, authored by Yangqi Yin and last updated in May 2026, provides evidence-based comparisons of the 1999 Sapporo, 2006 Revised Sapporo, and 2023 ACR/EULAR criteria.

Use Cases

• Compare the sensitivity and specificity of different APS classification criteria based on the reported meta-analysis results.
• Rank diagnostic performance using metrics like the S index and Diagnostic Odds Ratio (DOR) as described in the network meta-analysis.
• Inform clinical research protocol design by leveraging evidence on criteria suited for patients with non-classical APS manifestations.
• Assess heterogeneity and publication bias in APS diagnostic studies using the I² index and Deeks’ funnel plot results.

Strengths

• Analysis is based on 7 eligible studies with 8 research cohorts, providing a multi-study evidence base.
• Includes direct pairwise and network meta-analysis results for three distinct criteria sets (1999, 2006, 2023).
• Reports specific statistical outcomes including relative sensitivity (0.80), specificity (1.06), and 95% confidence intervals.

Limitations

• The dataset is a 767.0 KB PDF file; the underlying tabular data used for the meta-analysis is not directly accessible.
• Column-level documentation for any source data is absent; field semantics must be inferred from the published manuscript.
• Row count for the original patient-level data is unknown, limiting suitability assessment for direct ML modeling.

Provenance

Source

Systematic review of studies from PubMed, Embase, Cochrane Library, and Web of Science.

Collection Method

Data extracted from selected studies following PRISMA-NMA statement; analysis performed with Stata 15.0 and RStudio 4.3.0.

Time Range

Literature search from database inception to October 13, 2025.

Freshness

Last updated 2026-05-11 05:28:21.