Evidence map›Paper›PMID 25899555›Full record

ArticleParasitology2015

Cryptosporidium infections in suckler herd beef calves.

C Björkman, L Lindström, C Oweson, H Ahola, K Troell, C Axén

Open access · hybridAbstract read
In one paragraph

Article in Parasitology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Veterinarni medicina · 2025
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  5. Current research in parasitology & vector-borne diseases · 2025
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  6. Review
  7. Article
  8. Article
  9. Molecular Detection and Distribution ofTransboundary and emerging diseases · 2023
    Article
  10. First report ofFrontiers in veterinary science · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. CryptoGenotyper: A new bioinformatics tool for rapidFood and waterborne parasitology · 2021
    Article
  15. High Diversity ofPathogens (Basel, Switzerland) · 2021
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  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

6 authors at 1 institution in 1 country.

C BjörkmanDepartment of Clinical Sciences,Swedish University of Agricultural Sciences,P.O. Box 7054,SE-750 07 Uppsala,Sweden.
L LindströmDepartment of Clinical Sciences,Swedish University of Agricultural Sciences,P.O. Box 7054,SE-750 07 Uppsala,Sweden.
C OwesonDepartment of Clinical Sciences,Swedish University of Agricultural Sciences,P.O. Box 7054,SE-750 07 Uppsala,Sweden.
H AholaDepartment of Virology,Immunobiology and Parasitology,National Veterinary Institute,SE-751 89 Uppsala,Sweden.
K TroellDepartment of Virology,Immunobiology and Parasitology,National Veterinary Institute,SE-751 89 Uppsala,Sweden.
C AxénDepartment of Animal Health and Antimicrobial Strategies,National Veterinary Institute,SE-751 89 Uppsala,Sweden.
Swedish Veterinary Agency · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A study was carried out to investigate how common Cryptosporidium infections are in beef calves in Swedish suckler herds and to explore which species and subtypes that occur. We further aimed at identifying factors associated with shedding of Cryptosporidium oocysts in this type of calf management. The study was conducted in two regions in Sweden and included 30 herds. Faecal samples were collected from calves younger than 3 months. A brief clinical examination was done and a questionnaire was used to collect data on management routines. Faeces were cleaned and concentrated and oocysts identified by epifuorescence microscopy. Cryptosporidium positive samples were analyzed at the 18S rRNA and GP60 genes to determine species and Cryptosporidium parvum subtype, respectively. Logistic regression was used to identify factors associated with infection. Oocysts were detected in 122 (36.7%) calves from 29 (97%) herds, at 400 to 2.4 × 107 OPG. The youngest positive calves were only 1 and 2 days old. There was no association between age and Cryptosporidium infection. Cryptosporidium bovis, Cryptosporidium ryanae, C. parvum and Cryptosporidium ubiquitum were identified, with C. bovis being the major species. Two C. parvum subtypes, IIaA16G1R1 and IIdA27G1 were identified. Routines for cleaning calf pens and number of cows in calving pens were associated with infection.

Indexed as

AnimalsAnimals, NewbornCattleCattle DiseasesCryptosporidiosisCryptosporidiumFecesFemaleMaleOocystsPrevalenceRNA, RibosomalSpecies SpecificitySwedenRNA, Ribosomalbeef calvesCryptosporidiumCryptosporidium bovisCryptosporidium parvumCryptosporidium ryanaeCryptosporidium ubiquitumdiarrheasuckler herd

Identifiers

PMID25899555
PMCPMC4453919
OpenAlexW2092800088

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.