Evidence map›Paper›PMID 35333909›Full record

ArticlePloS one2022

Genetic relatedness, virulence factors and antibiotics susceptibility pattern of Vibrio cholerae isolates from various regions during cholera outbreak in Tanzania.

Hamza Hamad Matimba, Agricola Joachim, Mucho Michael Mizinduko, Irene Anthony Maseke, Salum Kassim Nyanga, Maria Ezekiely Kelly, Ali Said Nyanga, Janneth Maridadi Mghamba, Mtebe Venance Majigo, Ahmed Abade Mohamed

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 28% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Hamza Hamad MatimbaDepartment of Epidemiology and Biostatistics, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.ORCID 0000-0002-0643-899X
Agricola JoachimDepartment Microbiology and Immunology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Mucho Michael MizindukoDepartment of Epidemiology and Biostatistics, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.ORCID 0000-0003-4869-4489
Irene Anthony MasekeNational Health Laboratory, Quality Assurance, and Training Centre, Dar es Salaam, Tanzania.
Salum Kassim NyangaNational Health Laboratory, Quality Assurance, and Training Centre, Dar es Salaam, Tanzania.
Maria Ezekiely KellyNational Health Laboratory, Quality Assurance, and Training Centre, Dar es Salaam, Tanzania.
Ali Said NyangaMinistry of Health, Community Development, Gender, Elderly and Children, Dar es Salaam, Tanzania.
Janneth Maridadi MghambaTanzania Field Epidemiology and Laboratory Training Program, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Mtebe Venance MajigoDepartment Microbiology and Immunology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.ORCID 0000-0003-3726-2816
Ahmed Abade MohamedTanzania Field Epidemiology and Laboratory Training Program, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Muhimbili University of Health and Allied Sciences · TZMinistry of Health, Community Development, Gender, Elderly and Children · TZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCholera continues to cause morbidity and mortality in developing countries, including Tanzania. Since August 2015, Tanzania Mainland has experienced cholera outbreaks affecting 26 regions and a 1.6% case fatality rate. The current study determined the virulence factors, genetic relatedness and antimicrobial susceptibility patterns of the Vibrio cholerae isolated from different regions in Tanzania.

methodsA cross-sectional study that involved the genetic characterization of V. cholerae isolates from eleven regions in Tanzania was carried out. There were 99 V. cholerae isolates collected between January 2016 and December 2017. The study perfomed a Multi-locus Variable-number tandem-repeat analysis for genetic relatedness and Mismatch Amplification Mutation Analysis polymerase chain reaction for analyzing toxin genes. All the isolates were tested for antimicrobial susceptibility using the Kirby Bauer disk diffusion method. Data were generally analyzed using Microsoft excel, where genetic relatedness was analyzed using eBurst software v3.

resultsAll isolates were V. cholerae O1. Ogawa was the most predominant 97(98%) serotype. Isolates were genetically related with a small genetic diversity and were positive for ctxA, tcpA El Tor virulence genes. All isolates (100%) were sensitive to doxycycline, trimethoprim-sulphamethoxazole, tetracycline, ceftriaxone, and chloramphenicol, while 87.8% were sensitive to ciprofloxacin. A high resistance rate (100%) was detected towards erythromycin, nalidixic acid, amoxicillin, and ampicillin.

conclusionThe V.cholerae O1 serotypes Ogawa, El Tor variant predominantly caused cholera outbreaks in Tanzania with strains clonally related regardless of the place and time of the outbreak. Most of the isolates were susceptible to the antibiotic regimen currently used in Tanzania. The high resistance rate detected for the other common antibiotics calls for continuous antimicrobial susceptibility testing during outbreaks.

Indexed as

CholeraVibrio cholerae O1Anti-Bacterial AgentsCholera ToxinCross-Sectional StudiesDisease OutbreaksGenotypeHumansMicrobial Sensitivity TestsTanzaniaVirulence FactorsAnti-Bacterial AgentsCholera ToxinVirulence Factors

Identifiers

PMID35333909
PMCPMC8956160
OpenAlexW4220816352

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.