Evidence map›Paper›PMID 39651348›Full record

ArticleFrontiers in microbiology2024

Ultra-rapid and sensitive detection of African swine fever virus using multiple cross displacement amplification combined with nanoparticle-based lateral flow biosensor.

Sha Mao, Renjun Zhang, Xinggui Yang, Junfei Huang, Yingqian Kang, Yi Wang, Hong Chen, Shijun Li

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Sha Mao *Guizhou Provincial Center for Disease Control and Prevention, Guiyang, Guizhou, China.
Renjun Zhang *Guizhou Provincial Center for Animal Disease Control and Prevention, Guiyang, Guizhou, China.
Xinggui YangGuizhou Provincial Center for Disease Control and Prevention, Guiyang, Guizhou, China.
Junfei HuangGuizhou Provincial Center for Disease Control and Prevention, Guiyang, Guizhou, China.
Yingqian KangKey Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education of Guizhou & School of Basic Medical Science & Institution of One Health Research, Guizhou Medical University, Guiyang, Guizhou, China.
Yi WangExperimental Research Center, Capital Institute of Pediatrics, Beijing, China.
Hong ChenEPINTEK Guiyang Ltd., Guiyang, Guizhou, China.
Shijun LiGuizhou Provincial Center for Disease Control and Prevention, Guiyang, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

African swine fever (ASF) is a devastating disease that can kill almost all infected pigs, causing great damage to the pig industry and destabilizing the global economy. Here, we developed a specific assay that combined multiple cross-displacement amplification (MCDA) with a nanoparticle-based lateral flow biosensor (LFB) for early and rapid identification of the African swine fever virus (ASFV-MCDA-LFB). We first designed a set of MCDA primers to recognize 10 different regions of the target ASFV

Indexed as

African swine fever virusASFV-MCDA-LFBmultiple cross displacement amplificationnanoparticle-based lateral flow biosensorpoint-of-care testing

Identifiers

PMID39651348
PMCPMC11621089

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.