Cholera diagnosis in human stool and detection in water: A systematic review and meta-analysis
In: eissn: 1932-6203, 2022
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From PLOS via Jisc Publications Router ; History: received 2021-07-27, collection 2022, accepted 2022-06-19, epub 2022-07-06 ; Publication status: Published ; Funder: National Institutes of Health, USA; Grant(s): 5R01AI110794 ; Funder: National Science Foundation Graduate Research Fellowship; Grant(s): DGE-11-44155 ; Karin Diaconu - orcid:0000-0002-5810-9725 orcid:0000-0002-5810-9725 ; Fiona O'May - orcid:0000-0003-4417-2819 orcid:0000-0003-4417-2819 ; Ifeyinwa Victor-Uadiale - orcid:0000-0003-1580-1807 orcid:0000-0003-1580-1807 ; Alastair Ager - orcid:0000-0002-9474-3563 orcid:0000-0002-9474-3563 ; 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%, ...
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Cholera diagnosis in human stool and detection in water: A systematic review and meta-analysis
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Autor/in / Beteiligte Person: | Falconer, Jennifer ; Diaconu, Karin ; O’May, Fiona ; Gummaraju, Advaith ; Victor-Uadiale, Ifeyinwa ; Matragrano, Joseph ; Njanpop-Lafourcade, Berthe-Marie ; Ager, Alastair ; editor: Ochodo, Eleanor |
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Zeitschrift: | eissn: 1932-6203, 2022 |
Veröffentlichung: | Public Library of Science, 2022 |
Medientyp: | academicJournal |
DOI: | 10.1371/journal.pone.0270860 |
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