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Cholera diagnosis in human stool and detection in water: A systematic review and meta-analysis

dc.contributoreditor: Ochodo, Eleanor
dc.contributor.authorFalconer, Jennifer
dc.contributor.authorDiaconu, Karin
dc.contributor.authorO’May, Fiona
dc.contributor.authorGummaraju, Advaith
dc.contributor.authorVictor-Uadiale, Ifeyinwa
dc.contributor.authorMatragrano, Joseph
dc.contributor.authorNjanpop-Lafourcade, Berthe-Marie
dc.contributor.authorAger, Alastair
dc.date.accessioned2022-07-18T12:55:22Z
dc.date.available2022-07-18T12:55:22Z
dc.date.issued2022-07-06
dc.date.submitted2021-07-27
dc.date.updated2022-07-06T19:00:12Z
dc.descriptionFrom PLOS via Jisc Publications Router
dc.descriptionHistory: received 2021-07-27, collection 2022, accepted 2022-06-19, epub 2022-07-06
dc.descriptionPublication status: Published
dc.descriptionFunder: National Institutes of Health, USA; Grant(s): 5R01AI110794
dc.descriptionFunder: National Science Foundation Graduate Research Fellowship; Grant(s): DGE-11-44155
dc.descriptionKarin Diaconu - ORCID: 0000-0002-5810-9725 https://orcid.org/0000-0002-5810-9725
dc.descriptionFiona O'May - ORCID: 0000-0003-4417-2819 https://orcid.org/0000-0003-4417-2819
dc.descriptionIfeyinwa Victor-Uadiale - ORCID: 0000-0003-1580-1807 https://orcid.org/0000-0003-1580-1807
dc.descriptionAlastair Ager - ORCID: 0000-0002-9474-3563 https://orcid.org/0000-0002-9474-3563
dc.description.abstractBackground: Cholera continues to pose a problem for low-resource, fragile and humanitarian contexts. Evidence suggests that 2.86 million cholera cases and 95,000 deaths due to cholera are reported annually. Without quick and effective diagnosis and treatment, case-fatality may be 50%. In line with the priorities of the Global Task Force on Cholera Control, we undertook a systematic review and meta-analysis of diagnostic test accuracy and other test characteristics of current tests for cholera detection in stool and water. Methods: We searched 11 bibliographic and grey literature databases. Data was extracted on test sensitivity, specificity and other product information. Meta-analyses of sensitivity and specificity were conducted for tests reported in three or more studies. Where fewer studies reported a test, estimates were summarised through narrative synthesis. Risk of Bias was assessed using QUADAS-2. Results: Searches identified 6,637 records; 41 studies reporting on 28 tests were included. Twenty-two tests had both sensitivities and specificities reported above 95% by at least one study, but there was, overall, wide variation in reported diagnostic accuracy across studies. For the three tests where meta-analyses were possible the highest sensitivity meta-estimate was found in the Cholera Screen test (98.6%, CI: 94.7%-99.7%) and the highest specificity meta-estimate in the Crystal VC on enriched samples (98.3%, CI: 92.8%-99.6%). There was a general lack of evidence regarding field use of tests, but where presented this indicated trends for lower diagnostic accuracy in field settings, with lesser-trained staff, and without the additional process of sample enrichment. Where reported, mean test turnaround times ranged from over 50% to 130% longer than manufacturer’s specification. Most studies had a low to unclear risk of bias. Conclusions: Currently available Rapid Diagnostic Tests can potentially provide high diagnostic and detection capability for cholera. However, stronger evidence is required regarding the conditions required to secure these levels of accuracy in field use, particularly in low-resource settings. Registration: PROSPERO (CRD42016048428).en
dc.description.ispublishedpub
dc.description.statuspub
dc.identifierdoi: 10.1371/journal.pone.0270860
dc.identifierpublisher-id: pone-d-21-24370
dc.identifierhttps://eresearch.qmu.ac.uk/handle/20.500.12289/12491/12491.pdf
dc.identifier.citationFalconer, J., Diaconu, K., O’May, F., Gummaraju, A., Victor-Uadiale, I., Matragrano, J., Njanpop-Lafourcade, B.-M. and Ager, A. (2022) ‘Cholera diagnosis in human stool and detection in water: A systematic review and meta-analysis’, PLOS ONE. Edited by E. Ochodo, 17(7), p. e0270860. Available at: https://doi.org/10.1371/journal.pone.0270860.
dc.identifier.urihttps://eresearch.qmu.ac.uk/handle/20.500.12289/12491
dc.identifier.urihttps://doi.org/10.1371/journal.pone.0270860
dc.languageen
dc.publisherPublic Library of Science
dc.rightsLicence for this article: http://creativecommons.org/licenses/by/4.0/
dc.rightsCopyright: © 2022 Falconer et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en
dc.rights.licenseAttribution 4.0 International (CC BY 4.0)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceeissn: 1932-6203
dc.subjectResearch Articleen
dc.subjectMedicine and health sciencesen
dc.subjectBiology and life sciencesen
dc.subjectResearch and analysis methodsen
dc.subjectPhysical sciencesen
dc.subjectScience policyen
dc.subjectPeople and placesen
dc.titleCholera diagnosis in human stool and detection in water: A systematic review and meta-analysis
dc.typearticle
dcterms.accessRightspublic
dcterms.dateAccepted2022-06-19
qmu.authorFalconer, Jennifer
qmu.authorDiaconu, Karin
qmu.authorO'May, Fiona
qmu.authorVictor-Uadiale, Ifeyinwa
qmu.authorAger, Alastair
qmu.centreInstitute for Global Health and Development
refterms.dateAccepted2022-06-19
refterms.dateDeposit2022-07-18
refterms.depositExceptionpublishedGoldOA
refterms.versionVoR
rioxxterms.publicationdate2022-07-06

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