Evidence map›Paper›PMID 35830452›Full record

ArticleMicrobial biotechnology2022

A quantitative RT-qLAMP for the detection of SARS-CoV-2 and human gene in clinical application.

Yejiong Yu, Johnny X Y Zhou, Binbin Li, Mengmeng Ji, Yun Wang, Emma Carnaby, Monique I Andersson, Wei E Huang, Zhanfeng Cui

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbial biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
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 4 institutions in 2 countries.

Yejiong YuDepartment of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, UK.ORCID 0000-0002-6607-6353
Johnny X Y ZhouDepartment of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, UK.
Binbin LiOxford Suzhou Centre for Advanced Research (OSCAR), University of Oxford, Suzhou, China.
Mengmeng JiOxford Suzhou Centre for Advanced Research (OSCAR), University of Oxford, Suzhou, China.
Yun WangOxford Suzhou Centre for Advanced Research (OSCAR), University of Oxford, Suzhou, China.
Emma CarnabyDepartment of Microbiology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Monique I AnderssonDepartment of Microbiology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Wei E HuangDepartment of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, UK.ORCID 0000-0003-1302-6528
Zhanfeng CuiDepartment of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, UK.
University of Oxford · GBSuzhou Research Institute · CNNuffield Orthopaedic Centre · GBOxford University Hospitals NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reverse transcription (RT) - loop-mediated isothermal amplification (LAMP) assay is a rapid and one-step method to detect SARS-CoV-2 in the pandemic. Quantitative estimation of the viral load of SARS-CoV-2 in patient samples could help physicians make decisions on clinical treatment and patient management. Here, we propose to use a quantitative LAMP (qLAMP) method to evaluate the viral load of SARS-CoV-2 in samples. We used threshold time (TT) values of qLAMP, the isothermal incubation time required for the fluorescent or colorimetric signal to reach the threshold, to indicate the viral load of clinical samples. Similar to the cycle threshold (C

Indexed as

COVID-19SARS-CoV-2ActinsHumansMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesRNARNA, ViralSensitivity and SpecificityActinsRNARNA, Viral

Identifiers

PMID35830452
PMCPMC9349938
OpenAlexW4285392020

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.