Evidence map›Paper›PMID 36200614›Full record

ArticleLaboratory medicine2023

A New Auto-RPA-Fluorescence Detection Platform for SARS-CoV-2.

Jing Tian, Biao Chen, Bin Zhang, Tantan Li, Zhiqiang Liang, Yujin Guo, Huping Jiao, Fenghong Liang, Longquan Xiang, Fanzhong Lin and 2 more

Abstract read
In one paragraph

Article in Laboratory medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Point of Care Testing and Recombinase Polymerase Amplification.Journal of clinical laboratory analysis · 2026
    Article
  2. 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

12 authors.

Jing TianCenters for Disease Control and Prevention, People's Liberation Army Southern Theater Command, Guangzhou, China.
Biao ChenLaboratory of Medical Mycology, Jining No. 1 People's Hospital, Jining, China.
Bin ZhangComputational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
Tantan LiJining Precision Medical Test Center, Jining No. 1 People's Hospital, Jining, China.
Zhiqiang LiangMedical Laboratory Department, Jining No. 1 People's Hospital, Jining, China.
Yujin GuoInstitute of Clinical Pharmacy & Pharmacology, Jining No. 1 People's Hospital, Jining, China.
Huping JiaoJilin University, Changchun, China.
Fenghong LiangLaboratory of Medical Mycology, Jining No. 1 People's Hospital, Jining, China.
Longquan XiangDepartment of Pathology, Jining No. 1 People's Hospital, Jining, China.
Fanzhong LinDepartment of Pathology, Jining No. 1 People's Hospital, Jining, China.
Ruiwen RenCenters for Disease Control and Prevention, People's Liberation Army Southern Theater Command, Guangzhou, China.
Qingbin LiuLaboratory of Medical Mycology, Jining No. 1 People's Hospital, Jining, China.

Funding

China Postdoctoral Science Foundation 2020T130073ZXNatural Science Foundation of Shandong Province NM ZR2020QH272Technology Development Program of Shandong Province 2018WS469
6 · The paper itself

Abstract

objectiveThe outbreak of COVID-19 caused by SARS-CoV-2 has led to a serious worldwide pandemic. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR)-based methods were recommended for routine detection of SARS-CoV-2 RNA. Because the reaction time and analytical sensitivity of qRT-PCR limits the diagnosis of SARS-CoV-2, development of a quick process of SARS-CoV-2 detection technology with high analytical sensitivity remains urgent.

methodsWe combined isothermal amplification and fluorescence detection technology to develop a new auto-recombinase polymerase amplification (RPA)-fluorescence platform that could be used in the diagnosis of SARS-CoV-2.

resultsBy optimization of primers and probes, the RPA platform could detect SARS-CoV-2 nucleotides within 15 min. The limits of detection and specificity of the auto-RPA-fluorescence platform were 5 copies/µL and 100%, respectively. The accuracy of detection of the auto-RPA-fluorescence platform in the 16 positive samples was 100%.

conclusionThe RPA platform is a potential technology for the diagnosis of SARS-CoV-2 infection.

Indexed as

COVID-19SARS-CoV-2HumansRecombinasesRNA, ViralSensitivity and SpecificityRecombinasesRNA, Viral2autoCoVdiagnosisfluorescencelimit of detectionRPASARSspecificity

Identifiers

PMID36200614
PMCPMC9619631

What OpenQuestion holds

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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.