Evidence map›Paper›PMID 22314242›Full record

ArticleParasite (Paris, France)2012

Prevalence of Cryptosporidium-like infection in one-humped camels (Camelus dromedarius) of northwestern Iran.

M Yakhchali, T Moradi

Open access · hybridAbstract read
In one paragraph

Article in Parasite (Paris, France), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 29% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Pneumo-/enteritis in dromedary camels (Frontiers in veterinary science · 2026
    Review
  3. Global epidemiology and species/genotype distribution ofFood and waterborne parasitology · 2024
    Review
  4. Molecular characterization ofFrontiers in veterinary science · 2024
    Article
  5. Molecular detection and characterization ofFrontiers in veterinary science · 2023
    Article
  6. Review
  7. Article
  8. Protozoan and helminthes parasites endorsed by imported camels (Journal of parasitic diseases : official organ of the Indian Society for Parasitology · 2019
    Article
  9. Article
  10. Review
  11. 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

2 authors at 1 institution in 1 country.

M YakhchaliDepartment of Pathobiology, Parasitology Division, Nazlu campus, Urmia University, Urmia city, West Azerbaijan province, Iran. m.yakhchali@urmia.ac.ir
T Moradi
Urmia University of Technology · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cryptosporidium is a ubiquitous enteropathogen protozoan infection affecting livestock worldwide. The present study was carried out to determine the prevalence of Cryptosporidium infection in different age groups of dromedary camels in northwestern Iran from November 2009 to July 2010. A total number of 170 fecal samples were collected and examined using modified Ziehl-Neelsen (MZN) staining under light microscope. Examination of stained fecal smears revealed that 17 camels (10%) were positive for Cryptosporidium-like. The prevalence of Cryptosporidium-like was significantly higher in camel calves (< 1 years old) (20%) than other age groups, in which the diarrhoeic calves had the prevalence of 16%. In adult camels the prevalence was 6.5%. There was no significant difference in the prevalence of Cryptosporidium-like between male and female camels. It is concluded that Cryptosporidium infection is a problem in camel husbandry and could be of public health concern in the region.

Indexed as

Age DistributionAnimalsCamelusCryptosporidiosisCryptosporidiumFecesFemaleIranMaleOocystsPrevalenceSex Distribution

Identifiers

PMID22314242
PMCPMC3671425
OpenAlexW1982834076

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.