Evidence map›Paper›PMID 33736798›Full record

ArticleAnalytica chimica acta2021

A novel One-pot rapid diagnostic technology for COVID-19.

Junmin Li, Xuejiao Hu, Xiaoming Wang, Jianing Yang, Lei Zhang, Qianyun Deng, Xiqin Zhang, Zixia Wang, Tieying Hou, Shan Li

Open access · greenAbstract read
In one paragraph

Article in Analytica chimica acta, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 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

10 authors at 3 institutions in 1 country.

Junmin LiMOE International Joint Lab for Synthetic Biology and Medicines, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, PR China.
Xuejiao HuDivision of Laboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510000, PR China.
Xiaoming WangMOE International Joint Lab for Synthetic Biology and Medicines, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, PR China.
Jianing YangMOE International Joint Lab for Synthetic Biology and Medicines, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, PR China.
Lei ZhangMOE International Joint Lab for Synthetic Biology and Medicines, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, PR China.
Qianyun DengDivision of Laboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510000, PR China.
Xiqin ZhangDivision of Laboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510000, PR China.
Zixia WangDivision of Laboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510000, PR China.
Tieying HouDivision of Laboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510000, PR China. Electronic address: houtieying@gdph.org.cn.
Shan LiMOE International Joint Lab for Synthetic Biology and Medicines, School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, PR China. Electronic address: lishan@scut.edu.cn.
South China University of Technology · CNGuangdong Academy of Medical Sciences · CNGuangdong Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Novel coronavirus disease (COVID-19) caused by SARS-CoV-2 is an ongoing global pandemic associated with high rates of morbidity and mortality. RT-qPCR has become the diagnostic standard for the testing of SARS-CoV-2 in most countries. COVID-19 diagnosis generally relies upon RT-qPCR-mediated identification of SARS-CoV-2 viral RNA, which is costly, labor-extensive, and requires specialized training and equipment. Herein, we established a novel one-tube rapid diagnostic approach based upon formamide and colorimetric RT-LAMP (One-Pot RT-LAMP) that can be used to diagnose COVID-19 without the extraction of specific viral RNA. The technique could visually detect SARS-CoV-2 within 45 min with a limit of detection of 5 copies per reaction in extracted RNA, and about 7.66 virus copies per μL in viral transport medium. The One-Pot RT-LAMP test showed a high specificity without cross-reactivity with 12 viruses including SARS-CoV, MERS-CoV, and human infectious influenza virus (H1N1/H3N2 of influenza A and B virus, ect. We validated this One-Pot RT-LAMP approach by its successful use for the analysis of 45 clinical nasopharyngeal swab samples, yielding results identical to those of traditional RT-qPCR analyses, while achieving good selectivity and sensitivity relative to a commercial RT-qPCR approach. As such, this One-Pot RT-LAMP technology may be a valid means of conducting high-sensitivity, low-cost and rapid SARS-CoV-2 identification without the extraction of viral RNA.

Indexed as

COVID-19COVID-19 TestingDNA PrimersHumansLimit of DetectionMolecular Diagnostic TechniquesNasopharynxNucleic Acid Amplification TechniquesReal-Time Polymerase Chain ReactionRNA, ViralSARS-CoV-2Time FactorsDNA PrimersRNA, ViralCOVID-19One-pot reactionRT-LAMPRT-qPCR

Identifiers

PMID33736798
PMCPMC7877206
OpenAlexW3131508128

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.