Evidence map›Paper›PMID 32403008›Full record

ArticleJournal of clinical virology : the official publication of the Pan American Society for Clinical Virology2020

A RT-PCR assay for the detection of coronaviruses from four genera.

Leshan Xiu, Raquel A Binder, Natalie A Alarja, Kara Kochek, Kristen K Coleman, Son T Than, Emily S Bailey, Vuong N Bui, Teck-Hock Toh, Dean D Erdman and 1 more

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

47 citing papers in PubMed, 65 citations in OpenAlex.

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  12. Monitoring for respiratory viruses among wild canids, Texas.One health (Amsterdam, Netherlands) · 2025
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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

11 authors at 5 institutions in 5 countries.

Leshan XiuDivision of Infectious Diseases, Duke University School of Medicine, Durham, North Carolina, USA; Duke Global Health Institute, Duke University, Durham, North Carolina, USA; NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Raquel A BinderDivision of Infectious Diseases, Duke University School of Medicine, Durham, North Carolina, USA; Duke Global Health Institute, Duke University, Durham, North Carolina, USA.
Natalie A AlarjaDivision of Infectious Diseases, Duke University School of Medicine, Durham, North Carolina, USA; Duke Global Health Institute, Duke University, Durham, North Carolina, USA.
Kara KochekDivision of Infectious Diseases, Duke University School of Medicine, Durham, North Carolina, USA; Duke Global Health Institute, Duke University, Durham, North Carolina, USA.
Kristen K ColemanProgramme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.
Son T ThanProgramme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore.
Emily S BaileyJulia Jones Matthews Department of Public Health, Texas Tech University Health Sciences Center, Abilene, TX, USA.
Vuong N BuiVirology Department, National Institute of Veterinary Research, Hanoi, Vietnam.
Teck-Hock TohClinical Research Center, Sibu Hospital, Ministry of Health Malaysiaand Faculty of Medicine, SEGi University, Kota Damansara, Malaysia.
Dean D ErdmanExpert Consultant to Duke University, Atlanta, GA, USA.
Gregory C GrayDivision of Infectious Diseases, Duke University School of Medicine, Durham, North Carolina, USA; Duke Global Health Institute, Duke University, Durham, North Carolina, USA; Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore, Singapore; Global Health Research Center, Duke-Kunshan University, Kunshan, China. Electronic address: gregory.gray@duke.edu.
Duke University · USDuke-NUS Medical School · SGMinistry of Health · MYNational Institute of Veterinary Research · VNTexas Tech University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the past two decades, three novel coronaviruses (CoVs) have emerged to cause international human epidemics with severe morbidity. CoVs have also emerged to cause severe epidemics in animals. A better understanding of the natural hosts and genetic diversity of CoVs are needed to help mitigate these threats.

objectiveTo design and evaluate a molecular diagnostic tool for detection and identification of all currently recognized and potentially future emergent CoVs from the Orthocoronavirinae subfamily. STUDY DESIGN AND

resultsWe designed a semi-nested, reverse transcription RT-PCR assay based upon 38 published genome sequences of human and animal CoVs. We evaluated this assay with 14 human and animal CoVs and 11 other non-CoV respiratory viruses. Through sequencing the assay's target amplicon, the assay correctly identified each of the CoVs; no cross-reactivity with 11 common respiratory viruses was observed. The limits of detection ranged from 4 to 4 × 10

conclusionsThis assay can be used for detection and identification of all previously recognized CoVs, including SARS-CoV-2, and potentially any emergent CoVs in the Orthocoronavirinae subfamily.

Indexed as

AnimalsBetacoronavirusBird DiseasesBirdsCoronavirusCoronavirus InfectionsCOVID-19Genetic VariationHumansMolecular Diagnostic TechniquesPandemicsPneumonia, ViralReverse Transcriptase Polymerase Chain ReactionSARS-CoV-2Severe acute respiratory syndrome-related coronavirusSwineCoronavirusCOVID-19EmergingInfectious diseasesSARS-CoV-2

Identifiers

PMID32403008
PMCPMC7192118
OpenAlexW3021555206

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.