Evidence map›Paper›PMID 34506946›Full record

SynthesisClinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases2022

Accuracy of cholera rapid diagnostic tests: a systematic review and meta-analysis.

Basilua Andre Muzembo, Kei Kitahara, Anusuya Debnath, Keinosuke Okamoto, Shin-Ichi Miyoshi

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Dynamics of IgM and IgA Antibody Response Profile AgainstInternational journal of molecular sciences · 2025
    Article
  9. Time to invest in cholera.EClinicalMedicine · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review of Rapid Diagnostic Methods forThe East African health research journal · 2023
    Article
  16. Putting rapid tests to work in surveillance and control of cholera.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2022
    Article
  17. Cholera Rapid Diagnostic Tests for the Detection ofDiagnostics (Basel, Switzerland) · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Basilua Andre MuzemboGraduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan. Electronic address: andersonbasilua@yahoo.fr.
Kei KitaharaGraduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan; Collaborative Research Centre of Okayama University for Infectious Diseases at ICMR-NICED, Kolkata, India.
Anusuya DebnathGraduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan.
Keinosuke OkamotoGraduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan.
Shin-Ichi MiyoshiGraduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCholera is an acute diarrheal disease caused by Vibrio cholerae O1 or O139. Cholera rapid diagnostic tests (RDTs) are widely used to screen for cholera cases. However, their accuracy has not been systematically reviewed.

objectivesTo evaluate the diagnostic accuracy of cholera RDTs.

methodsSystematic review and meta-analysis. DATA SOURCES: Medline, EMBASE and Web of science through to November 2020; references of included studies and a technical guidance on cholera RDTs. This review is registered with PROSPERO (CRD42021233124). STUDY ELIGIBILITY CRITERIA: Cross-sectional studies comparing the performance of cholera RDTs either to stool culture or PCR.

participantsIndividuals with clinically suspected cholera. DATA EXTRACTION: Two authors independently extracted data and assessed the quality using Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) criteria.

resultsEighteen studies were included in the systematic review of which 17 were used for meta-analysis. Crystal VC was the most frequently used RDT (13 studies), followed by Cholkit and Institut Pasteur cholera dipstick (three studies each), SD Bioline (two studies), Artron (one study) and Smart (one study). Using direct testing (n = 12 627 specimens), the bivariate random-effects model yielded a pooled sensitivity and specificity of 91% (95% CI 87%-94%) and 80% (95% CI 74%-84%), respectively. However, through alkaline peptone water (APW) enrichment (n = 3403 specimens), the pooled sensitivity and specificity were 89% (95% CI 79%-95%) and 98% (95% CI 95%-99%), respectively.

conclusionCholera RDTs, especially when enriched with APW, have moderate sensitivity and specificity. Although less useful for clinical management, the current generation of RDTs have clear utility for surveillance efforts if used in a principled manner. Enrichment of stool specimens in APW before using cholera RDTs reduces the possibility of obtaining false-positive results, despite the few cholera cases that go undetected. It is noteworthy that APW-enriched cholera RDTs are not necessarily rapid tests, and are not listed in the Global Task Force on Cholera Control/WHO target product profile.

Indexed as

CholeraVibrio cholerae O1Cross-Sectional StudiesHumansReagent Kits, DiagnosticSensitivity and SpecificityReagent Kits, DiagnosticAccuracyCholeraRapid testSensitivitySpecificity

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.