Evidence map›Paper›PMID 37853002›Full record

ArticleScientific reports2023

Prevalence of Cryptosporidium infection and associated risk factors in calves in Egypt.

Hattan S Gattan, Ayed Alshammari, Mohamed Marzok, Mohamed Salem, Omar A Al-Jabr, Abdelfattah Selim

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  5. Prevalence and Molecular Characterization ofPathogens (Basel, Switzerland) · 2025
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  6. Veterinarni medicina · 2025
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  7. Article
  8. Review
  9. Animals : an open access journal from MDPI · 2024
    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

6 authors at 4 institutions in 2 countries.

Hattan S GattanDepartment of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
Ayed AlshammariDepartment of Biology, College of Science, University of Hafr Al-Batin, Hafr Al-Batin, Saudi Arabia.
Mohamed MarzokDepartment of Clinical Sciences, College of Veterinary Medicine, King Faisal University, 31982, Al-Ahsa, Saudi Arabia. mmarzok@kfu.edu.sa.
Mohamed SalemDepartment of Clinical Sciences, College of Veterinary Medicine, King Faisal University, 31982, Al-Ahsa, Saudi Arabia.
Omar A Al-JabrDepartment of Microbiology, College of Veterinary Medicine, King Faisal University, P.O. Box 400, 31982, Al-Ahsa, Saudi Arabia.
Abdelfattah SelimDepartment of Animal Medicine (Infectious Diseases), Faculty of Veterinary Medicine, Benha University, Toukh, 13736, Egypt. Abdelfattah.selim@fvtm.bu.edu.eg.
King Faisal University · SABenha University · EGKing Abdulaziz University · SAUniversity of Hafr Al-Batin · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cryptosporidium is one of the causative parasitic agents that causes gastrointestinal diseases in calves. The parasite poses a zoonotic risk to immunocompromised individuals and children. Thus, this study aimed to determine the prevalence of Cryptosporidium infection in calves in three Egyptian governorates situated in Nile Delta and assess the associated risk factors. The Cryptosporidium oocysts were detected in 81 out of 430 calves (18.84%). In addition, the univariant analysis showed that age, feeding source, hygienic status, presence of diarrhea and contact with other animals were significantly (P < 0.05) associated with Cryptosporidium prevalence in calves. Furthermore, the risk factors related with Cryptosporidium prevalence were age (OR 1.96, 95%CI 0.97-3.94), feeding on milk and pasture (OR 2.07, 95%CI 1.15-3.72), poor hygienic condition (OR 2.25, 95%CI 1.28-3.94), presence of diarrhea (OR 2.47, 95%CI 1.23-4.96) and contact with other domestic animals (OR 2.08, 95%CI 1.24-3.50). In addition, the PCR assay targeting 18srRNA showed that the most prevalent species among calves was C. parvum. Although additional researches are required to understand the most effective steps that farmers and veterinary professionals should take to decrease the occurrence of Cryptosporidium infection.

Indexed as

Cattle DiseasesCryptosporidiosisCryptosporidiumCryptosporidium parvumAnimalsCattleChildDiarrheaEgyptFecesHumansPrevalenceRisk Factors

Identifiers

PMID37853002
PMCPMC10584872
OpenAlexW4387742899

What Socratic 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 Socratic graph.