Evidence map›Paper›PMID 35717165›Full record

ArticleBMC microbiology2022

Isolation, discrimination, and molecular detection of Listeria species from slaughtered cattle in Namwala District, Zambia.

Prudence Mpundu, John Bwalya Muma, Nawa Mukumbuta, Andrew Nalishuwa Mukubesa, Walter Muleya, Penjaninge Kapila, Bernard Mudenda Hang'ombe, Musso Munyeme

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 18 citations in OpenAlex.

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  7. Frontiers in microbiology · 2023
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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

8 authors at 2 institutions in 1 country.

Prudence MpunduDepartment of Environmental and Occupational Health, Levy Mwanawasa Medical University, Lusaka, 33991, Zambia. prudencezimba@gmail.com.
John Bwalya MumaDepartment of Disease Control, School of Veterinary Medicine, University of Zambia, Lusaka, 10101, Zambia.
Nawa MukumbutaDepartment of Environmental and Occupational Health, Levy Mwanawasa Medical University, Lusaka, 33991, Zambia.
Andrew Nalishuwa MukubesaDepartment of Disease Control, School of Veterinary Medicine, University of Zambia, Lusaka, 10101, Zambia.
Walter MuleyaDepartment of Biomedical Sciences, School of Veterinary Medicine, University of Zambia, Lusaka, 10101, Zambia.
Penjaninge KapilaDepartment of Disease Control, School of Veterinary Medicine, University of Zambia, Lusaka, 10101, Zambia.
Bernard Mudenda Hang'ombeDepartment of Para-Clinical Studies, School of Veterinary Medicine, University of Zambia, Lusaka, 10101, Zambia.
Musso MunyemeDepartment of Disease Control, School of Veterinary Medicine, University of Zambia, Lusaka, 10101, Zambia.
University of Zambia · ZMLusaka Apex Medical University · ZM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe food industry is increasingly becoming more scrutinized, given the frequency and intensity with which zoonotic diseases are being reported. Pathogen tracking has become more applicable with regards food safety. It is in this regard that the present study was formulated to track Listeria species. in freshly slaughtered cattle carcasses by utilizing standard and molecular biological techniques.

methodsA cross-sectional study design was conducted from March to December 2020 with 200 samples being equally collected in the rainy and dry seasons. A total of 180 and 20 swabs were aseptically collected from carcasses and the environment respectively. Samples were first subjected to pre-enrichment in half-strength Fraser broth followed by enrichment in full strength Fraser broth and subsequent plating on Listeria agar. Listeria growth characteristics were identified up to species level based on their morphological and biochemical characteristics. Further, molecular detection and phylogenetic analysis was conducted. Quantitative proportionate survey data were analyzed using Stata Version 15 software to estimate crude prevalence taking into account complex design at abattoir level. Factors associated with contamination were characterized using logistic regression. Sequences were analyzed using, Genetyyx version 12 and phylogenetic Mega.

resultsOf the 200 samples, 19 were positive for Listeria species identified as L.innocua 14/19 (73.7%) and L. monocytogenes 5/19 (26.3%). All isolates were from freshly slaughtered carcasses, and none from environment. Siginificant differences in contamination levels were observed based on season: rainy season yielded 14 (73.6%) whilst the dry season 5 (26.3%). The L. monocytogenes strains showed a high degree of homogeneity on phylogenetic analysis and clustered based on abattoir. Seasonality was identified as a major determinant influencing contamination based on the final logistic regression model.

conclusionThis study found evidence of L. monocytogenes contamination on traditionally raised beef carcasses across various abattoirs surveyed. The failure to find Listeria contamination on the abattoir environment may to a greater extent intimate cattle carccases as primary sources of contamination. However, a more comprerehnsive study incorporating different geographical regions is needed to conclusively ascertain these present findings.

Indexed as

ListeriaListeria monocytogenesAnimalsCattleCross-Sectional StudiesFood ContaminationFood MicrobiologyPhylogenyZambiaBeef carcassesContaminationListeria speciesPhenotypic

Identifiers

PMID35717165
PMCPMC9206240
OpenAlexW4283079252

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.