Evidence map›Paper›PMID 37851181›Full record

ArticleTropical animal health and production2023

Prevalence of Cryptosporidium spp. infection in a working horse population in Egypt.

Shebl E Salem, Amany M Abd El-Ghany, Hussein A Elsheikh, Enas M Abdel-Ghany, Refaat Ras

Abstract read
In one paragraph

Article in Tropical animal health and production, 2023. 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

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

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.

Shebl E SalemDepartment of Surgery, Faculty of Veterinary Medicine, Zagazig University, Zagazig, 44519, Egypt. sisalem@vet.zu.edu.eg.ORCID http://orcid.org/0000-0001-5315-8934
Amany M Abd El-GhanyDepartment of Parasitology, Faculty of Veterinary Medicine, Zagazig University, Zagazig, 44519, Egypt.
Hussein A ElsheikhThe Veterinary Clinic, Faculty of Veterinary Medicine, Zagazig University, Zagazig, 44519, Egypt.
Enas M Abdel-GhanyGenetic and Cytology Department, Biotechnology Research Institute, National Research Centre, Giza, Egypt.
Refaat RasDepartment of Parasitology, Faculty of Veterinary Medicine, Zagazig University, Zagazig, 44519, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Working horses support the livelihoods of smallholder farmers in Egypt. No previous study has investigated the prevalence of cryptosporidiosis in working horses in Egypt. Faecal samples were collected from 607 working horses recruited from thirty-seven villages/areas in two Egyptian governorates and examined for Cryptosporidium spp. infection using the modified Zielh-Neelsen staining technique. Data on signalment, history of recent diarrhoea, and strongyle burden were collected. The prevalence of Cryptosporidium spp. infection was calculated using a bootstrap method and potential risk factors for infection were investigated using mixed-effects logistic regression models that included sampling location as a random-effects variable. The prevalence of Cryptosporidium spp. infection was 28.7% (95% confidence interval = 23.5-33.9). None of the variables investigated, which include age, sex of the animals, and strongyle burden, were associated with risk of infection. This study provided evidence-based information on the prevalence of Cryptosporidium spp. infection in the study area. However, the potential zoonotic risk of Cryptosporidium cannot be confirmed until further studies are conducted to genotype these parasites.

Indexed as

CryptosporidiosisCryptosporidiumAnimalsEgyptFecesPrevalenceCryptosporidium ssp.EgyptHorsePrevalenceWorking equid

Identifiers

PMID37851181
PMCPMC10584700

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.