Evidence map›Paper›PMID 35990282›Full record

ArticleFrontiers in veterinary science2022

Development of a new TaqMan-based real-time RT-PCR assay for the specific detection of bovine kobuvirus.

Yuelin Liu, Libing Liu, Jinfeng Wang, Ting Wang, Yaxin Gao, Xiaoxia Sun, Wanzhe Yuan, Ruiwen Li, Jianchang Wang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in veterinary science, 2022. 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
0.2field-weighted citation impact, top 49% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

9 authors at 1 institution in 1 country.

Yuelin LiuDepartment of Clinical Veterinary Medicine, College of Veterinary Medicine, Hebei Agricultural University, Baoding, China.
Libing LiuDepartment of Animal and Plant Quarantine, Technology Center of Shijiazhuang Customs District, Shijiazhuang, China.
Jinfeng WangDepartment of Animal and Plant Quarantine, Technology Center of Shijiazhuang Customs District, Shijiazhuang, China.
Ting WangDepartment of Animal Genetics and Breeding, Hebei Mountain Agricultural Technology Innovation Center, Hebei Agricultural University, Baoding, China.
Yaxin GaoDepartment of Clinical Veterinary Medicine, College of Veterinary Medicine, Hebei Agricultural University, Baoding, China.
Xiaoxia SunDepartment of Animal and Plant Quarantine, Technology Center of Shijiazhuang Customs District, Shijiazhuang, China.
Wanzhe YuanDepartment of Clinical Veterinary Medicine, College of Veterinary Medicine, Hebei Agricultural University, Baoding, China.
Ruiwen LiDepartment of Clinical Veterinary Medicine, College of Veterinary Medicine, Hebei Agricultural University, Baoding, China.
Jianchang WangDepartment of Animal and Plant Quarantine, Technology Center of Shijiazhuang Customs District, Shijiazhuang, China.
Hebei Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bovine kobuvirus (BKV) is a novel kobuvirus considered to be closely related to calf diarrhea and has become a worldwide epidemic. Currently, the BKV lacks an efficient and convenient detection method to assist the research on BKV prevalence. In this study, a new and specific TaqMan-based real-time RT-PCR for the detection of BKV was developed using the conserved region of the 3D gene. The assay was highly specific for BKV, without cross-amplification with other non-targeted pathogens. The limit of detection of this assay was 10

Indexed as

3D genebovine kobuvirusphylogenetic analysisreal-time RT-PCRTaqMan probe

Identifiers

PMID35990282
PMCPMC9386250
OpenAlexW4289731177

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.