Evidence map›Paper›PMID 22437531›Full record

ArticleJournal of veterinary science2012

Prevalence and molecular characterization of Cryptosporidium spp. in dairy cattle from farms in China.

Fu Chen, Kehe Huang

Open access · goldAbstract read
In one paragraph

Article in Journal of veterinary science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.6field-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

22 citing papers in PubMed, 36 citations in OpenAlex.

  1. Molecular Prevalence andAnimals : an open access journal from MDPI · 2026
    Article
  2. Current research in parasitology & vector-borne diseases · 2025
    Article
  3. Prevalence and molecular characterization ofFrontiers in veterinary science · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Occurrence and Molecular Characterization ofAnimals : an open access journal from MDPI · 2022
    Article
  9. Article
  10. The Age-RelatedAnimals : an open access journal from MDPI · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Prevalence ofElectronic physician · 2017
    Article
  17. Review
  18. Review
  19. Review
  20. 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.

Fu ChenCollege of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China.
Kehe Huang
Nanjing Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fecal samples of 2,056 dairy cattle from 14 farms were collected in three geographical regions of China and stained using a modified acid-fast staining technique to identify Cryptosporidium oocysts. A total of 387 (18.82%) positive samples were identified and further analyzed by polymerase chain reaction (PCR) using primers designed to amplify DNA fragments from the small subunit ribosomal RNA. The PCR products were sequenced and the sequences were deposited in the GenBank database under accession numbers EU369377-84 and GU070730-33. Phylogenetic analysis was performed and a distances matrix generated from these sequences confirmed the existence of Cryptosporidium (C.) parvum 'mouse' genotype, C. bovis, C. andersoni, C. hominis, and C. serpentis in cattle. These results represent the first report on the prevalence and genetic identification of Cryptosporidium species, and may contribute to a better understanding of the epidemiology of Cryptosporidium in cattle in China.

Indexed as

AnimalsBase SequenceCattleCattle DiseasesChinaChi-Square DistributionCryptosporidiosisCryptosporidiumDNA, ProtozoanFecesFemaleMolecular Sequence DataPhylogenyPolymerase Chain ReactionPrevalenceRNA, Ribosomal, 18SDNA, ProtozoanRNA, Ribosomal, 18S

Identifiers

PMID22437531
PMCPMC3317452
OpenAlexW2018342296

What OpenQuestion holds

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LicenceCC BY-NC
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.