Evidence map›Paper›PMID 36534036›Full record

ArticleVeterinary medicine and science2023

Molecular evaluation of Cryptosporidium spp. among breeding calves of Lorestan province Western Iran.

Razieh Talebi, Amirreza Javadi Mamaghani, Farnaz Kheirandish, Azadeh Karimi, Farzad Ebrahimzadeh, Mohamad Kazempour, Nozhat Zebardast, Shirzad Fallahi

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Veterinary medicine and science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 21% 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, 8 citations in OpenAlex.

  1. Nosocomial Diarrhea Distribution byAdvanced biomedical research · 2025
    Article
  2. Molecular analysis of cryptosporidiosis on cattle farms in Gran Canaria, Canary Islands (Spain).International journal of veterinary science and medicine · 2025
    Article
  3. Article
  4. Article
  5. Prevalence and Molecular Characterization ofAnimals : an open access journal from MDPI · 2023
    Article
  6. Corrigendum.Veterinary medicine and science · 2023
    Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Razieh TalebiDepartment of Medical Parasitology and Mycology, School of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran.
Amirreza Javadi MamaghaniDepartment of Medical Parasitology and Mycology, School of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran.
Farnaz KheirandishDepartment of Medical Parasitology and Mycology, School of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran.
Azadeh KarimiDepartment of Medical Parasitology and Mycology, School of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran.
Farzad EbrahimzadehDepartment of Biostatistics and Epidemiology, School of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran.
Mohamad KazempourDepartment of Chemistry, Tabriz Branch, Islamic Azad University, Tabriz, Iran.
Nozhat ZebardastCellular and Molecular Research Center, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran.ORCID https://orcid.org/0000-0003-3791-9312
Shirzad FallahiDepartment of Medical Parasitology and Mycology, School of Medicine, Lorestan University of Medical Sciences, Khorramabad, Iran.ORCID https://orcid.org/0000-0003-1826-7910
Lorestan University of Medical Sciences · IRGuilan University of Medical Sciences · IRIslamic Azad University of Tabriz · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCryptosporidium spp. are opportunistic intestinal protozoans with global distribution and are of great importance as zoonotic protozoans are common to humans and domestic animals, including cattle and calves. Identification and detection of parasite species using precise methods including molecular methods can be an effective step in treating and controlling parasites.

objectivesThis study aimed to investigate the prevalence of Cryptosporidium among breeding calves of Khorramabad city, Lorestan province, Western Iran, using PCR.

methodsThe faecal samples were taken from 181 healthy and diarrhoeal calves and after the Ziehl Neelsen Acid-fast staining and microscopic evaluation, the genomic DNA was extracted for molecular evaluations. To detect Cryptosporidium species, specific primers targeting the SAM-1 gene of Cryptosporidium and a commercial master mix were used for PCR.

resultsOut of 181 faecal samples of breeding calves in Khorramabad city, 9 samples (5%) were positive for Cryptosporidium spp. using the PCR method. Statistical analysis of the data showed that there was no significant statistical relationship between Cryptosporidium infection of the calves and variables of age, breed, type of water consumption, clinical signs of diarrhoea, and sampling location, while parasite infection had a significant relationship with calf gender so that all Cryptosporidium positive samples were from male calves (p ≤ 0.05).

conclusionsConsidering the presence of Cryptosporidium infection, the region's traditional grazing system, and the close relationship between livestock and humans, there is a possibility of human infection in the region. So preventive measures such as periodic animal testing with sensitive and accurate diagnostic techniques including PCR, pharmacological treatment of livestock, water hygiene and the use of industrial grazing instead of traditional grazing to improve the hygiene of food consumed by livestock are recommended.

Indexed as

Cattle DiseasesCryptosporidiosisCryptosporidiumAnimalsCattleDiarrheaFecesHumansIranLivestockMalebreeding calvesCryptosporidiumIranPCRSAM-1 gene

Identifiers

PMID36534036
PMCPMC9857120
OpenAlexW4311928439

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.