Evidence map›Paper›PMID 37844073›Full record

ArticlePloS one2023

Development of a one-step reverse transcription-quantitative polymerase chain reaction assay for the detection of porcine reproductive and respiratory syndrome virus.

Hansong Chae, Hyun Soo Roh, Young Mi Jo, Won Gyeong Kim, Jeong Byoung Chae, Seung-Uk Shin, Jung Won Kang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Suidae Coronaviruses: Epidemiology, Transmission, and Molecular Diagnosis.Animals : an open access journal from MDPI · 2026
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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

7 authors.

Hansong ChaeR&D Center of Animal Technology, Animal Industry Data Korea, Gangnam-gu, Seoul, South Korea.
Hyun Soo RohR&D Center of Animal Technology, Animal Industry Data Korea, Gangnam-gu, Seoul, South Korea.
Young Mi JoR&D Center of Animal Technology, Animal Industry Data Korea, Gangnam-gu, Seoul, South Korea.
Won Gyeong KimR&D Center of Animal Technology, Animal Industry Data Korea, Gangnam-gu, Seoul, South Korea.
Jeong Byoung ChaeR&D Center of Animal Technology, Animal Industry Data Korea, Gangnam-gu, Seoul, South Korea.
Seung-Uk ShinR&D Center of Animal Technology, Animal Industry Data Korea, Gangnam-gu, Seoul, South Korea.
Jung Won KangR&D Center of Animal Technology, Animal Industry Data Korea, Gangnam-gu, Seoul, South Korea.ORCID 0009-0005-5914-3588

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Porcine reproductive and respiratory syndrome (PRRS) caused by PRRS virus (PRRSV) is an important disease that severely affects the swine industry and, therefore, warrants rapid and accurate diagnosis for its control. Despite the progress in developing diagnostic tools, including polymerase chain reaction (PCR)-based methods such as reverse transcription quantitative PCR (RT-qPCR) to diagnose PRRSV infection, its diagnosis at the genetic level is challenging because of its high genetic variability. Nevertheless, RT-qPCR is the easiest and fastest method for diagnosing PRRSV. Therefore, this study aimed to develop an RT-qPCR assay for rapid and accurate diagnosis of PRRSV by encompassing all publicly available PRRSV sequences. The developed assay using highly specific primers and probes could detect up to 10 copies of PRRSV-1 and -2 subtypes. Furthermore, a comparison of the performance of the developed assay with those of two commercial kits widely used in South Korea demonstrated the higher efficiency of the developed assay in detecting PRRSV infections in field samples. For PRRSV-1 detection, the developed assay showed a diagnostic agreement of 97.7% with the results of ORF5 sequencing, while for commercial kits, it showed 95.3% and 72.1% agreement. For PRRSV-2, the developed assay showed a diagnostic agreement of 97.7%, whereas the commercial kits showed 93% and 90.7% agreement. In conclusion, we developed an assay with higher accuracy than those of the tested commercial kits, which will contribute markedly to global PRRSV control.

Indexed as

Porcine Reproductive and Respiratory SyndromePorcine respiratory and reproductive syndrome virusAnimalsReverse Transcriptase Polymerase Chain ReactionReverse TranscriptionSensitivity and SpecificitySwine

Identifiers

PMID37844073
PMCPMC10578580
OpenAlexW4387666194

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.