Diagnostic accuracy of rapid diagnostic tests for vibrio cholerae serogroups O1 and O139: A systematic review and meta-analysis.

Int J Infect DisJun 25, 2026 (epub)

Xitong Yao, Han Wang, Kuo Jiang et al.

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In 30 seconds

This systematic review and meta-analysis assessed field performance of rapid diagnostic tests (RDTs) for Vibrio cholerae O1/O139, using culture or PCR as reference standards. Across 22 studies, 46 data points and 20,353 specimens, pooled sensitivity was 0.95 (95% CI: 0.93-0.97) and specificity was 0.95 (95% CI: 0.91-0.97); both exceeded the 2024 GTFCC Target Product Profile requirements. Performance was poorer for dual-target than single-target assays, while alkaline peptone water enrichment reduced sensitivity without significantly improving specificity.

Key findings

  • Pooled sensitivity was 0.95 (95% CI: 0.93-0.97) and specificity was 0.95 (95% CI: 0.91-0.97), exceeding 2024 GTFCC requirements.
  • Dual-target O1+O139 RDTs performed significantly worse than single-target assays (P = 0.03).
  • APW enrichment reduced sensitivity from 0.96 to 0.94 (P < 0.001), without a significant specificity gain.
  • The diagnostic odds ratio was 718 with PCR reference testing versus 363 with culture.

Why it matters

Reliable field diagnostics can support cholera surveillance and case detection. The pooled estimates suggest that evaluated RDTs meet updated global performance standards, while differences by assay target and enrichment method indicate that test configuration can affect accuracy. The higher diagnostic odds ratio against PCR also highlights how the choice of reference standard may shape estimates of RDT performance.

What to keep in mind

The review combined studies using different reference standards, and the abstract reports heterogeneity analysis but does not provide its results or study-level limitations.

Source

Published in Int J Infect Dis. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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AI-generated summaries may contain errors or omissions. Verify clinically important information with the original publication.

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