Evidence map›Paper›PMID 39692342›Full record

ArticleThe Onderstepoort journal of veterinary research2024

Taenia saginata prevalence in cattle slaughtered at low throughput abattoirs in South Africa.

Mbali P Dube, Charles Byaruhanga, Pierre Dorny, Veronique Dermauw, Daniel N Qekwana

Abstract read
In one paragraph

Article in The Onderstepoort journal of veterinary research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

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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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Mbali P DubeDepartment of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Pretoria. mbaliedubeh@gmail.com.
Charles Byaruhanga
Pierre Dorny
Veronique Dermauw
Daniel N Qekwana

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meat inspection is the routine method used to identify cattle infected with Taenia saginata; however, the sensitivity of this method is low. We investigated the prevalence of T. saginata infection in cattle slaughtered in low throughput abattoirs (LTs) in Gauteng province, South Africa, based on meat inspection and serology. A total of 188 cattle carcasses from three abattoirs underwent meat inspection for the presence of T. saginata cysticerci, while serum was tested for the occurrence of antigens using antigen enzyme-linked immunosorbent assay (Ag-ELISA). Polymerase chain reaction (PCR)-sequencing was performed to confirm T. saginata cysts identified during enhanced inspection and incision of 10 randomly selected hearts. Apparent and true prevalence were calculated, and a logistic regression model was fit to evaluate associations between abattoir, sex, animal origin, age and T. saginata serological status. Out of the 188 carcasses, no positive cases (0%) were identified during routine meat inspection, yet three cysticerci-like lesions were identified from three hearts following additional incisions, of which one was confirmed as T. saginata. Fifty-four of the sampled cattle carcasses tested positive using Ag-ELISA (apparent and true prevalence: 29.0%, 71.8%). Feedlot cattle were less likely (odds ratios [OR]: 0.33, p = 0.043) to have a positive serological test result for T. saginata compared to non-feedlot cattle, and the odds of a positive result differed between abattoirs (p  0.05).Contribution: Our results confirmed the low sensitivity of routine meat inspection in LTs, which may pose a public health risk, and therefore other diagnostic methods need to be included in the surveillance system for T. saginata.

Indexed as

AbattoirsCattle DiseasesTaenia saginataTaeniasisAnimalsCattleEnzyme-Linked Immunosorbent AssayFemaleMaleMeatPrevalenceSouth AfricaabattoirbovinecysticercosisGautengmeat inspectionSouth AfricaTaeniatapeworm

Identifiers

PMID39692342
PMCPMC11736566

What OpenQuestion holds

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Registered trials

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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.