Evidence map›Paper›PMID 37515141›Full record

ArticleViruses2023

Development of a One-Step Real-Time TaqMan Reverse Transcription Polymerase Chain Reaction (RT-PCR) Assay for the Detection of the Novel Variant Infectious Bursal Disease Virus (nVarIBDV) Circulating in China.

Chenyan Wang, Bo Hou, Guoqing Shao, Chunhe Wan

Abstract read
In one paragraph

Article in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

4 authors.

Chenyan WangInstitute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fujian Animal Disease Control Technology Development Center, Fuzhou 350013, China.
Bo HouInstitute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fujian Animal Disease Control Technology Development Center, Fuzhou 350013, China.ORCID 0000-0002-6575-3842
Guoqing ShaoInstitute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fujian Animal Disease Control Technology Development Center, Fuzhou 350013, China.
Chunhe WanInstitute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fujian Animal Disease Control Technology Development Center, Fuzhou 350013, China.ORCID 0000-0003-2011-5609

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The novel variant IBDV (nVarIBDV, especially genotype A2dB1) mainly affects broilers in China. It causes an infection characterized by the atrophy of the bursa, a decrease in the level of lymphocytes, proliferation of fibrous tissue around the follicle, and severe atrophy of the follicle in the bursa. Poultry vaccinated with live IBDV vaccines do not have the challenge present with bursa atrophy, which is misdiagnosed for nVarIBDV because of the lack of other gross clinical symptoms. The present study sought to explore the potential and reliability of the real-time TaqMan analysis method for the detection and discrimination of the nVarIBDV genotype from that of the non-nVarIBDV, especially in live vaccine strains. This method will help monitor vaccinated poultry to control and manage infection with the nVarIBDV IBDVs. The nucleotide polymorphism in the 5'-UTR region and the

Indexed as

Birnaviridae InfectionsInfectious bursal disease virusPoultry DiseasesAnimalsChickensReal-Time Polymerase Chain ReactionReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionReverse Transcriptioninfectious bursal disease virusnVarIBDVone-step RT-PCRreal-time TaqMan

Identifiers

PMID37515141
PMCPMC10383243

What OpenQuestion holds

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LicenceCC BY
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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.