Evidence map›Paper›PMID 33211641›Full record

ReviewThe Journal of general virology2021

The first decade of research advances in influenza D virus.

Jieshi Yu, Feng Li, Dan Wang

Open access · greenAbstract readReview
In one paragraph

Review in The Journal of general virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

36 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
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  10. Review
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  15. Article
  16. Influenza D virus infection in China, 2022-2023.Emerging microbes & infections · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Influenza D virus utilizes both 9-Journal of virology · 2024
    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 1 institution in 1 country.

Jieshi YuDepartment of Veterinary Science, Maxwell H. Gluck Equine Research Center, University of Kentucky, Lexington, Kentucky 40546, USA.
Feng LiDepartment of Veterinary Science, Maxwell H. Gluck Equine Research Center, University of Kentucky, Lexington, Kentucky 40546, USA.
Dan WangDepartment of Veterinary Science, Maxwell H. Gluck Equine Research Center, University of Kentucky, Lexington, Kentucky 40546, USA.
University of Kentucky · US

Funding

Influenza D Virus Entry and Tissue TropismR01AI141889 · NIAID · UNIVERSITY OF KENTUCKY · PI LI, FENG · 2018 to 2022
$2.6M
NIAID NIH HHS R01 AI141889
6 · The paper itself

Abstract

From its initial isolation in the USA in 2011 to the present, influenza D virus (IDV) has been detected in cattle and swine populations worldwide. IDV has exceptional thermal and acid stability and a broad host range. The virus utilizes cattle as its natural reservoir and amplification host with periodic spillover to other mammalian species, including swine. IDV infection can cause mild to moderate respiratory illnesses in cattle and has been implicated as a contributor to bovine respiratory disease (BRD) complex, which is the most common and costly disease affecting the cattle industry. Bovine and swine IDV outbreaks continue to increase globally, and there is increasing evidence indicating that IDV may have the potential to infect humans. This review discusses recent advances in IDV biology and epidemiology, and summarizes our current understanding of IDV pathogenesis and zoonotic potential.

Indexed as

AnimalsAntigens, ViralGenome, ViralHumansOrthomyxoviridae InfectionsPhylogenyRNA, ViralThogotovirusViral ProteinsViral ZoonosesAntigens, ViralRNA, ViralViral Proteinsepidemiologygenetic and antigenic evolutioninfluenza D viruspathogenicityzoonotic potential

Identifiers

PMID33211641
PMCPMC8279278
OpenAlexW3101787911

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.