Evidence map›Paper›PMID 39502793›Full record

Article3 Biotech2024

Simultaneous detection of novel goose parvovirus and novel duck reovirus by SYBR Green I-based duplex real-time quantitative polymerase chain reaction.

Yimin Wang, Yong Wang, Zhuangli Bi, Yuhan Liu, Chunchun Meng, Jie Zhu, Guangqing Liu, Chuanfeng Li

Abstract read
In one paragraph

Article in 3 Biotech, 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.

Yimin Wang *Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Shanghai, 200241 China.
Yong Wang *College of Animal Science and Technology, Anhui Agricultural University, Hefei, 230036 China.
Zhuangli BiShanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Shanghai, 200241 China.
Yuhan LiuShanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Shanghai, 200241 China.
Chunchun MengShanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Shanghai, 200241 China.
Jie ZhuShanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Shanghai, 200241 China.
Guangqing LiuShanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Shanghai, 200241 China.
Chuanfeng LiShanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences (CAAS), Shanghai, 200241 China.ORCID 0000-0002-6232-0806

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Co-infection with novel goose parvovirus (NGPV) and novel duck reovirus (NDRV) is common, significantly impeding duck growth and resulting in considerable economic losses within the duck farming industry. To facilitate rapid and accurate diagnosis and differentiation of these two viruses, this study developed a SYBR Green I-based duplex real-time quantitative polymerase chain reaction (qPCR) assay. This assay enabled the simultaneous detection of NGPV and NDRV by exploiting their distinct melting temperatures (Tm): 78.5 ± 0.50 °C for NGPV and 84.5 ± 0.50 °C for NDRV. No amplification was observed for other prevalent non-target duck viruses. The intra- and inter-assay coefficients of variation were less than 1.75%. The assay showed good performance with the same detection limit of 10

Indexed as

Duplex real-time qPCRNovel duck reovirusNovel goose parvovirusSimultaneous detection

Identifiers

PMID39502793
PMCPMC11532324

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.