Evidence map›Paper›PMID 28784188›Full record

ArticleEpidemiology and infection2017

Periurban outbreaks of bovine calf scours in Northern India caused by Cryptosporidium in association with other enteropathogens.

A P S Brar, N K Sood, P Kaur, L D Singla, B S Sandhu, K Gupta, D Narang, C K Singh, M Chandra

Open access · bronzeAbstract read
In one paragraph

Article in Epidemiology and infection, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

20 citing papers in PubMed, 43 citations in OpenAlex.

  1. Review
  2. Article
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  4. Review
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  6. Article
  7. First report ofFrontiers in veterinary science · 2023
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  8. Causes of Mortality of Dairy Cattle Diagnosed by Complete Necropsy.Animals : an open access journal from MDPI · 2022
    Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Development and Application of aMicroorganisms · 2021
    Article
  16. Article
  17. Pathogens (Basel, Switzerland) · 2020
    Article
  18. Article
  19. First report of Cryptosporidium sp. infection in sheep population of Ladakh, India.Journal of parasitic diseases : official organ of the Indian Society for Parasitology · 2019
    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

9 authors at 1 institution in 1 country.

A P S BrarDepartment of Veterinary Pathology,College of Veterinary Science,GADVASU, Ludhiana-141004,India.
N K SoodDepartment of Veterinary Pathology,College of Veterinary Science,GADVASU, Ludhiana-141004,India.
P KaurDepartment of Veterinary Parasitology,College of Veterinary Science,GADVASU, Ludhiana-141004,India.
L D SinglaDepartment of Veterinary Parasitology,College of Veterinary Science,GADVASU, Ludhiana-141004,India.
B S SandhuDepartment of Veterinary Pathology,College of Veterinary Science,GADVASU, Ludhiana-141004,India.
K GuptaDepartment of Veterinary Pathology,College of Veterinary Science,GADVASU, Ludhiana-141004,India.
D NarangDepartment of Veterinary Microbiology,College of Veterinary Science,GADVASU, Ludhiana-141004,India.
C K SinghDepartment of Veterinary Pathology,College of Veterinary Science,GADVASU, Ludhiana-141004,India.
M ChandraDepartment of Veterinary Microbiology,College of Veterinary Science,GADVASU, Ludhiana-141004,India.
Guru Angad Dev Veterinary and Animal Sciences University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bovine calf scours reported to be caused by multiple aetiologies resulting in heavy mortality in unweaned calves and huge economic loss to the dairy farmers. Among these, cryptosporidiosis is an emerging waterborne zoonoses and one of the important causes of neonatal calf diarrhoea. Poor immune response coupled with primary cryptosporidial infections predispose neonatal calves to multiple secondary infections resulting in their deaths. In the present study, faecal samples from 100 diarrhoeic calves randomly picked up out of 17 outbreaks of bovine calf diarrhoea in periurban Ludhiana, Punjab in Northern India were subjected to conventional (microscopy, modified Zeihl-Neelsen (mZN) staining) and immunological and molecular techniques (faecal antigen capture ELISA and PCR) for detection of primary Cryptosporidium parvum infection as well as other frequently reported concurrent pathogens, viz. rotavirus and coronavirus, Salmonella spp., Escherichia coli, Clostridium perfringens and Eimeria spp. The faecal antigen capture ELISA and PCR revealed 35% prevalence of C. parvum in contrast to 25% by mZN staining with a relatively higher prevalence (66·7%) in younger (8-14-day-old) calves. The detection rate of the other enteropathogens associated with C. parvum was 45·71% for C. perfringens followed by Salmonella spp (40·0%), rotavirus (36·0%), coronavirus (16·0%), E. coli (12·0%) and Eimeria spp (4·0%) The sensitivity for detection of C. parvum by ELISA and mZN staining in comparison to PCR was 97·14% and 72·72%, respectively. An important finding of the study was that C. parvum alone was found in only 10% of the diarrhoeic faecal samples, whereas, majority of the samples (90%) showed mixed infections ranging from a combination of two to five agents. This is the first documentary proof of C. parvum and associated pathogens responsible for severe periurban outbreaks of bovine calf diarrhoea culminating in heavy mortality from Northern India.

Indexed as

Disease OutbreaksAnimalsCattleCattle DiseasesCryptosporidiosisCryptosporidiumDairyingDiarrheaEnzyme-Linked Immunosorbent AssayFecesIndiaPolymerase Chain ReactionBovine calf diarrhoeaconcurrent infectionsCryptosporidium parvumELISAhistopathologyPCRperiurban outbreaks

Identifiers

PMID28784188
PMCPMC7113022
OpenAlexW2744033700

What OpenQuestion holds

Textmetadata
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.