Evidence map›Paper›PMID 38919159›Full record

ArticleFrontiers in veterinary science2024

Rapid lateral flow immunoassay for fluorescence detection of canine distemper virus (CDV).

Zhigang Cao, Li Yi, Xiangnan Liu, Jinyuan Shang, Yuening Cheng, Erkai Feng, Xingyu Liu, Yuping Fan, Xiaoliang Hu, Wenlong Cai and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in veterinary science, 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

12 authors.

Zhigang Cao *Institute of Special Animal and Plant Sciences, CAAS, Changchun, Jilin, China.
Li Yi *Institute of Special Animal and Plant Sciences, CAAS, Changchun, Jilin, China.
Xiangnan Liu *Department of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
Jinyuan ShangInstitute of Special Animal and Plant Sciences, CAAS, Changchun, Jilin, China.
Yuening ChengInstitute of Special Animal and Plant Sciences, CAAS, Changchun, Jilin, China.
Erkai FengInstitute of Special Animal and Plant Sciences, CAAS, Changchun, Jilin, China.
Xingyu LiuFaculty of Agriculture, Forestry and Food Engineering, Yibin University, Yibin, China.
Yuping FanFaculty of Agriculture, Forestry and Food Engineering, Yibin University, Yibin, China.
Xiaoliang HuFaculty of Agriculture, Forestry and Food Engineering, Yibin University, Yibin, China.
Wenlong CaiGuangdong Laboratory Animals Monitoring Institute and Guangdong Provincial Key Laboratory of Laboratory Animals, Guangzhou, China.
Feng CongDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
Shipeng ChengInstitute of Special Animal and Plant Sciences, CAAS, Changchun, Jilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Canine distemper virus (CDV) is a highly contagious and potentially lethal virus that affects dogs and other members of the Canidae family, including wolves, foxes, and coyotes. Here, we present a fluorescent lateral flow immunoassay (FLFA) platform for the detection of CDV, which utilizes fluorescent microspheres - fusion protein monoclonal antibody (mAb)-labeled monoclonal antibody. The assay detected CDV within 5 min, with a detection limit threshold of 3 × 10

Indexed as

CDVdetectionFLFAfluorescentmicrospheres

Identifiers

PMID38919159
PMCPMC11197456

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.