Evidence map›Paper›PMID 34524612›Full record

ArticleGenes & genomics2021

Diagnostic evaluation of qRT-PCR-based kit and dPCR-based kit for COVID-19.

Cherl-Joon Lee, Wonseok Shin, Seyoung Mun, Minjae Yu, Young-Bong Choi, Dong Hee Kim, Kyudong Han

Open access · bronzeAbstract read
In one paragraph

Article in Genes & genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Cherl-Joon Lee *Department of Bio-Convergence Engineering, Dankook University, Jukjeon, 16890, Republic of Korea.
Wonseok Shin *NGS Clinical Laboratory, Dankook University Hospital, Cheonan, 31116, Republic of Korea.
Seyoung MunDepartment of Nanobiomedical Science, Dankook University, Cheonan, 31116, Republic of Korea.
Minjae YuDKU-Theragen institute for NGS analysis (DTiNa), Cheonan, 31116, Republic of Korea.
Young-Bong ChoiDepartment of Chemistry, College of Science and Technology, Dankook University, Cheonan, 31116, Republic of Korea.
Dong Hee KimDepartment of Anesthesiology and Pain Management, Dankook University College of Medicine, Cheonan, 31116, Republic of Korea. anedhkim@hanmail.net.
Kyudong HanDepartment of Bio-Convergence Engineering, Dankook University, Jukjeon, 16890, Republic of Korea. kyudong.han@gmail.com.ORCID 0000-0001-6791-2408
Dankook University · KRTheragen · KRDankook University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease of 2019 (COVID-19) is well known as a fatal disease, first discovered at Wuhan in China, ranging from mild to death, such as shortness of breath and fever. Early diagnosis of COVID-19 is a crucial point in preventing global prevalence.

objectiveWe aimed to evaluate the diagnostic competency and efficiency with the Allplex™ 2019-nCoV Assay kit and the Dr. PCR 20 K COVID-19 Detection kit, designed based on the qRT-PCR and dPCR technologies, respectively.

methodsA total of 30 negative and 20 COVID-19 positive specimens were assigned to the diagnostic test by using different COVID-19 diagnosis kits. Diagnostic accuracy was measured by statistical testing with sensitivity, specificity, and co-efficiency calculations.

resultsComparing both diagnostic kits, we confirmed that the diagnostic results of 30 negative and 20 positive cases were the same pre-diagnostic results. The diagnostic statistics test results were perfectly matched with value (1). Cohen's Kappa coefficient was demonstrated that the given kits in two different ways were "almost perfect" with value (1). In evaluating the detection capability, the dilutional linearity experiments substantiate that the Dr. PCR 20 K COVID-19 Detection kit could detect SARS-CoV-2 viral load at a concentration ten times lower than that of the Allplex™ 2019-nCoV Assay kit.

conclusionsIn this study, we propose that the dPCR diagnosis using LOAA dPCR could be a powerful method for COVID-19 point-of-care tests requiring immediate diagnosis in a limited time and space through the advantages of relatively low sample concentration and small equipment size compared to conventional qRT-PCR.

Indexed as

COVID-19COVID-19 Nucleic Acid TestingGenes, ViralHumansPolymerase Chain ReactionRepublic of KoreaReverse Transcriptase Polymerase Chain ReactionSARS-CoV-2Sensitivity and SpecificityViral LoadCoronavirus disease of 2019Digital PCRquantitative real-time PCRSevere Acute Respiratory Syndrome Coronavirus 2

Identifiers

PMID34524612
PMCPMC8441239
OpenAlexW3199860165

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.