Evidence map›Paper›PMID 30630285›Full record

ArticleThe Korean journal of parasitology2018

Epidemiological Survey on Eimeria spp. Associated with Diarrhea in Pre-weaned Native Korean Calves.

Hyeon-Cheol Kim, Changyoung Choe, SuHee Kim, Joon-Seok Chae, Do-Hyeon Yu, Jinho Park, Bae-Keun Park, Kyoung-Seong Choi

Open access · diamondAbstract read
In one paragraph

Article in The Korean journal of parasitology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
0.7field-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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Status ofJournal of parasitology research · 2025
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Diversity of Eimeria (Apicomplexa: Eimeriidae) species and risk factors associated in natural infecting calves at the Southern Agreste Microregion in the State of Pernambuco, Brazil.Revista brasileira de parasitologia veterinaria = Brazilian journal of veterinary parasitology : Orgao Oficial do Colegio Brasileiro de Parasitologia Veterinaria · 2022
    Article
  12. Dry SeasonVeterinary medicine (Auckland, N.Z.) · 2022
    Article
  13. 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

8 authors at 7 institutions in 1 country.

Hyeon-Cheol KimCollege of Veterinary Medicine and Institute of Veterinary Science, Kangwon National University, Chuncheon 24341, Korea.
Changyoung ChoeAnimal Disease & Biosecurity Team, National Institute of Animal science, Rural Development Administration, Wanju 55365, Korea.
SuHee KimAnimal Disease & Biosecurity Team, National Institute of Animal science, Rural Development Administration, Wanju 55365, Korea.
Joon-Seok ChaeLaboratory of Veterinary Internal Medicine, BK21 PLUS Program for Creative Veterinary Science Research, Research Institute for Veterinary Science and College of Veterinary Medicine, Seoul National University, Seoul 08826, Korea.
Do-Hyeon YuInstitute of Animal Medicine, College of Veterinary Medicine, Gyeongsang National University, Jinju 52825, Korea.
Jinho ParkCollege of Veterinary Medicine, Chonbuk National University, Iksan 54596, Korea.
Bae-Keun ParkCollege of Veterinary Medicine, Chungnam National University, Daejeon 34134, Korea.
Kyoung-Seong ChoiCollege of Ecology and Environmental Science, Kyungpook National University, Sangju 37224, Korea.
Rural Development Administration · KRChungnam National University · KRGyeongsang National University · KRJeonbuk National University · KRKangwon National University · KRKyungpook National University · KRSeoul National University · KR

Funding

Agriculture Science & Technology Development PJ01194503
6 · The paper itself

Abstract

Bovine coccidiosis is one of the most important parasitic diseases affecting calf productivity. Here, we investi- gated the prevalence of Eimeria spp. in pre-weaned native Korean calves and determined the correlation between diar- rhea and Eimeria spp. Fecal samples were collected from individual calves (288 normal and 191 diarrheic) in 6 different farms. Of the 479 samples, Eimeria oocysts were detected in 124 calves (25.9%). Five Eimeria spp. were identified; E. zuernii (18.8%) was the most prevalent, followed by E. auburnensis (12.5%), E. bovis (7.5%), E. subspherica (5.8%), and E. bukidnonensis (1.0%). A significant correlation was observed between diarrhea and mixed infection with more than 2 Eimeria spp. (odds ratio [OR]=2.21; 95% confidence interval [CI]: 1.09-4.49; P=0.03) compared to single infection (OR = 1.29; 95% CI: 0.77-2.15; P = 0.33). Of the 5 Eimeria spp. identified, E. subspherica (95% CI: 1.24-5.61; P = 0.01) and E. bukidnonensis (95% CI: 825.08-1,134.25; P = 0.00) strongly increased the risk of diarrhea by 2.64-fold and 967.39-fold, respectively, compared to other species. Moreover, mixed infection with E. auburnensis and E. bukidnonensis was significantly associated with diarrhea (OR = 2,388.48; 95% CI: 1,009.71-5,650.00; P < 0.00) in pre-weaned native Korean calves. This is the first report to demonstrate the importance of E. bukidnonensis associated with diarrhea in pre-weaned native Korean calves. Further epidemiological studies should investigate the prevalence of E. bukidnonensis and the association between E. bukidnonensis and diarrhea.

Indexed as

Animals, NewbornAnimalsCattleCattle DiseasesCoccidiosisCoinfectionDiarrheaEimeriaFecesKoreaPrevalenceCoccidiosisdiarrheaEimeriapre-weaned calves

Identifiers

PMID30630285
PMCPMC6327200
OpenAlexW2908114150

What OpenQuestion holds

Textmetadata
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.