Queen Margaret University logo
    • Login
    View Item 
    •   QMU Repositories
    • Jisc Publications Router notifications
    • PubRouter notifications
    • View Item
    •   QMU Repositories
    • Jisc Publications Router notifications
    • PubRouter notifications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

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

    View/Open
    pone.0270860.s004.pdf (378.3Kb)
    pone.0270860.s003.pdf (504.3Kb)
    pone.0270860.s006.pdf (169.2Kb)
    pone.0270860.pdf (1.000Mb)
    pone.0270860.s002.pdf (119.0Kb)
    additional-files.zip (8.297Mb)
    pone.0270860.s001.pdf (76.57Kb)
    pone.0270860.xml (221.6Kb)
    Date
    2022-07-06
    Author
    Falconer, Jennifer; orcid: 0000-0002-0807-8764; email: jennifer@falconers.me.uk
    Diaconu, Karin
    O’May, Fiona
    Gummaraju, Advaith
    Victor-Uadiale, Ifeyinwa
    Matragrano, Joseph
    Njanpop-Lafourcade, Berthe-Marie
    Ager, Alastair
    Metadata
    Show full item record
    Citation
    PLOS ONE, volume 17, issue 7, article-number e0270860
    Abstract
    Background: 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).
    URI
    https://eresearch.qmu.ac.uk/handle/20.500.12289/12491
    Collections
    • PubRouter notifications

    Queen Margaret University: Research Repositories
    Accessibility Statement | Repository Policies | Contact Us | Send Feedback | HTML Sitemap

     

    Browse

    All QMU RepositoriesCommunities & CollectionsBy YearBy PersonBy TitleBy QMU AuthorBy Research CentreThis CollectionBy YearBy PersonBy TitleBy QMU AuthorBy Research Centre

    My Account

    LoginRegister

    Queen Margaret University: Research Repositories
    Accessibility Statement | Repository Policies | Contact Us | Send Feedback | HTML Sitemap