Evidence map›Paper›PMID 32542424›Full record

ReviewBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2020

A review of the epidemiological, clinical, and pathological aspects of malignant catarrhal fever in Brazil.

Selwyn Arlington Headley, Thalita Evani Silva de Oliveira, Cristina Wetzel Cunha

Open access · greenAbstract readReview
In one paragraph

Review in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

29 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Seroprevalence of malignant catarrhal fever in cattle and sheep from South Brazil.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  7. Chronic Folliculitis Associated withAnimals : an open access journal from MDPI · 2025
    Article
  8. The Association ofPathogens (Basel, Switzerland) · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Quantification of ovine gammaherpesvirus 2 in clinical cases of cattle with sheep-associated malignant catarrhal fever.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    Article
  16. Molecular detection of ovine gammaherpesvirus 2 in free ranging wild boars (Sus scrofa) from Southern Brazil.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    Article
  17. Viral Diseases in Water Buffalo (Animals : an open access journal from MDPI · 2024
    Review
  18. Characterization of ovine gammaherpesvirus 2 in a goat by nanoplate digital PCR and other diagnostic methods.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    Article
  19. The Role ofPathogens (Basel, Switzerland) · 2024
    Article
  20. Molecular survey of selected viruses in Pudus (The veterinary quarterly · 2023
    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

3 authors at 2 institutions in 2 countries.

Selwyn Arlington HeadleyLaboratory of Animal Pathology, Department of Veterinary Preventive Medicine, Universidade Estadual de Londrina, Rodovia Celso Garcia Cid, PR 445 Km 380, Campus Universitário, PO Box 10.011, Paraná, 86057-970, Brazil. selwyn.headley@uel.br.
Thalita Evani Silva de OliveiraLaboratory of Animal Pathology, Department of Veterinary Preventive Medicine, Universidade Estadual de Londrina, Rodovia Celso Garcia Cid, PR 445 Km 380, Campus Universitário, PO Box 10.011, Paraná, 86057-970, Brazil.
Cristina Wetzel CunhaAnimal Disease Research Unit, Agricultural Research Service, United States Department of Agriculture, Pullman, WA, 99164-6630, USA.
Universidade Estadual de Londrina · BRAgricultural Research Service · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sheep-associated malignant catarrhal fever (SA-MCF), the form of MCF that occurs in Brazil, is a severe, frequently fatal, infectious disease caused by ovine gammaherpesvirus-2 (OvHV-2), in which sheep are the asymptomatic hosts and cattle and other cloven-hoofed animals are the accidental hosts. This review provides a critical analysis of the historical, epidemiological aspects and the estimated economic impacts associated with SA-MCF in Brazil. Moreover, the clinical manifestations and pathological lesions associated with SA-MCF in cattle are reviewed and discussed and the phylogenetic distribution of OvHV-2 in Brazil is presented. OvHV-2 is the only MCF virus identified in animals from Brazil. It is recommended that a histopathologic diagnosis of SA-MCF be based on all aspects of vascular disease in the affected animal and not only lymphocytic/necrotizing vasculitis and/or fibrinoid change. Conformation of the intralesional participation of OvHV-2 in these alterations can be achieved by immunohistochemistry and/or in situ hybridization assays. Additionally, it is proposed that OvHV-2 should be considered as a possible infectious disease agent associated with the development of bovine respiratory disease in cattle. Furthermore, the possible role of the small intestine in the dissemination of OvHV-2 is discussed.

Indexed as

AnimalsBrazilGammaherpesvirinaeMalignant CatarrhPhylogenySheepSheep DiseasesCattle diseaseDiagnosisHistopathologyMalignant catarrhal feverOvine gammaherpesvirus-2Vascular alterations

Identifiers

PMID32542424
PMCPMC7455687
OpenAlexW3035707135

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.