Evidence map›Paper›PMID 39126622›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Recognition of Field Signs, Necropsy Procedures, and Evaluation of Macroscopic Lesions of Cervids Infected with Epizootic Hemorrhagic Disease Virus.

Mark G Ruder, Elizabeth W Howerth

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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.

Mark G RuderSoutheastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA, USA. mgruder@uga.edu.
Elizabeth W HowerthDepartment of Pathology, College of Veterinary Medicine, University of Georgia, Athens, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epizootic hemorrhagic disease virus (EHDV) is an arthropod-borne RNA virus in the genus Orbivirus, family Sedoreoviridae. Globally, seven known EHDV serotypes circulate among ruminant hosts and Culicoides species vectors. A variety of domestic and wild ruminant species are susceptible to EHDV infection, but infection outcome is highly variable between species, as well as between individuals of the same species. Thus, this disease system inherently operates at the wildlife-livestock interface. Domestic cattle are important hosts for EHDV, and while inapparent infection is the most common outcome, reports of clinical disease have increased in some parts of the world. However, fatal infection of cattle is rare. Among wildlife, white-tailed deer (Odocoileus virginianus) are highly susceptible to severe and often fatal disease. Considering the paucity of data and poorly characterized pathology of EHD in cattle, white-tailed deer represent a case study for describing the field signs and necropsy lesions associated with EHD. Here we describe the field signs that commonly define EHD outbreaks in North America, a basic approach to a gross necropsy examination of white-tailed deer, description of the gross lesions that may be present, and diagnostic sample collection. Field investigations of large-scale EHD outbreaks are common in North America. The necropsy examination is an essential tool in the study of disease and when coupled with other disciplines (e.g., virology, immunology, epidemiology) has been fundamentally important to understanding EHD in North America.

Indexed as

DeerHemorrhagic Disease Virus, EpizooticReoviridae InfectionsAnimalsAnimals, WildAutopsyCattleCervidsClinical signsEHDField investigationNecropsyOutbreak

Identifiers

What OpenQuestion holds

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Registered trials

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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.