Evidence map›Paper›PMID 31694551›Full record

ArticleBMC microbiology2019

Prevalence and antibiotic susceptibility patterns of enteric bacterial pathogens in human and non-human sources in an urban informal settlement in Cape Town, South Africa.

John Bosco Kalule, Anthony M Smith, Mjikisile Vulindhlu, Nomsa P Tau, Mark P Nicol, Karen H Keddy, Lourens Robberts

Abstract read
In one paragraph

Article in BMC microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Prevalence and risk factors of seafood-borneFrontiers in microbiology · 2024
    Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Comparative analysis of three plasmids fromJAC-antimicrobial resistance · 2024
    Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Prevalence of Antibiotic Resistance inAntibiotics (Basel, Switzerland) · 2021
    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

7 authors.

John Bosco KaluleDivision of Medical Microbiology, Department of Pathology, Faculty of Health Sciences, University of Cape Town and National Health Laboratory Services, Cape Town, South Africa. kaluleb@gmail.com.ORCID 0000-0003-3409-4327
Anthony M SmithCentre for Enteric Diseases, National Institute for Communicable Diseases, Johannesburg, South Africa.
Mjikisile VulindhluCape Town Water and Sanitation Department, City of Cape Town, South Africa.
Nomsa P TauCentre for Enteric Diseases, National Institute for Communicable Diseases, Johannesburg, South Africa.
Mark P NicolDivision of Medical Microbiology, Department of Pathology, Faculty of Health Sciences, University of Cape Town and National Health Laboratory Services, Cape Town, South Africa.
Karen H KeddyFaculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Lourens RobbertsDivision of Medical Microbiology, Department of Pathology, Faculty of Health Sciences, University of Cape Town and National Health Laboratory Services, Cape Town, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn light of rampant childhood diarrhoea, this study investigated bacterial pathogens from human and non-human sources in an urban informal settlement. Meat from informal abattoirs (n = 85), river water (n = 64), and diarrheic stool (n = 66) were collected between September 2015 and May 2016. A duplex real-time PCR, gel-based PCR, and CHROMagar™STEC were used to screen Tryptic Soy Broth (TSB) for diarrheic E. coli. Standard methods were used to screen for other selected food and waterborne bacterial pathogens.

resultsPathogens isolated from stool, meat, and surface water included Salmonella enterica (6, 5, 0%), Plesiomonas shigelloides (9, 0, 17%), Aeromonas sobria (3, 3, 0%), Campylobacter jejuni (5, 5, 0%), Shigella flexneri (17, 5, 0%), Vibrio vulnificus (0, 0, 9%), and diarrheic E. coli (21, 3, 7%) respectively. All the isolates were resistant to trimethoprim-sulphamethoxazole.

conclusionsThere was a high burden of drug resistant diarrheal pathogens in the stool, surface water and meat from informal slaughter. Integrated control measures are needed to ensure food safety and to prevent the spread of drug resistant pathogens in similar settings.

Indexed as

BacteriaBacterial InfectionsChild, PreschoolDiarrheaDrug Resistance, Multiple, BacterialFecesFemaleFood MicrobiologyHumansInfantMaleMeatPopulation SurveillancePrevalenceRiversSouth AfricaTrimethoprim, Sulfamethoxazole Drug CombinationAntibiogramsDiarrhoeaFoodborne pathogensInformal settlement

Identifiers

PMID31694551
PMCPMC6836408

What OpenQuestion holds

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LicenceCC BY
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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.