Evidence map›Paper›PMID 37981902›Full record

ArticleVeterinarni medicina2023

Development and application of a low-priced duplex quantitative PCR assay based on SYBR Green I for the simultaneous detection of porcine deltacoronavirus and porcine sapelovirus.

Si-Jia Lu, Meng-Yao Ma, Xiao-Guang Yan, Fu-Jie Zhao, Wen-Yang Hu, Qing-Wen Ding, Hao-Jie Ren, Yu-Qiang Xiang, Lan-Lan Zheng

Open access · goldAbstract read
In one paragraph

Article in Veterinarni medicina, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Detection of ongoing asymptomaticFrontiers in microbiology · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
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.

Si-Jia LuCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, P.R. China.
Meng-Yao MaCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, P.R. China.
Xiao-Guang YanCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, P.R. China.
Fu-Jie ZhaoCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, P.R. China.
Wen-Yang HuCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, P.R. China.
Qing-Wen DingCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, P.R. China.
Hao-Jie RenCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, P.R. China.
Yu-Qiang XiangCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, P.R. China.
Lan-Lan ZhengCollege of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, P.R. China.
Henan Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Porcine deltacoronavirus (PDCoV) and porcine sapelovirus (PSV) are two viruses that can cause diarrhoea in pigs and bring great economic loss to the pig industry. In this research, a duplex real-time quantitative polymerase chain reaction (qPCR) assay based on SYBR Green I was developed to simultaneously detect PDCoV and PSV. No specific melting peaks were found in other porcine diarrhoea-associated viruses, indicating that the method developed in this study had good specificity. The detection limits of PDCoV and PSV were 1.0 × 10

Indexed as

duplex real-time qPCRPDCoVPSV

Identifiers

PMID37981902
PMCPMC10581527
OpenAlexW4360609097

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.