Evidence map›Paper›PMID 41536658›Full record

ArticleSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2025

[Development of a Reverse Transcription Loop-Mediated Isothermal Amplification Assay for the Detection of Genogroup Ⅱ Norovirus].

Yi Liu, Jing Zhang, Chao Zhao, Juan Wang

Abstract readEnglish Abstract
In one paragraph

Article in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yi Liu( 130000) School of Public Health, Jilin University, Changchun 130000, China.
Jing Zhang( 130000) School of Public Health, Jilin University, Changchun 130000, China.
Chao Zhao( 130000) School of Public Health, Jilin University, Changchun 130000, China.ORCID 0000-0003-3569-2732
Juan Wang( 130000) School of Public Health, Jilin University, Changchun 130000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To establish a rapid testing method for genogroup Ⅱ (GⅡ) norovirus based on reverse transcription loop-mediated isothermal amplification (RT-LAMP). Methods: The conserved region of norovirus was screened using the genomic data from the National Center for Biotechnology Information (NCBI) database, and specific primers were designed using the online software Primer Explorer V5. The testing system was established through optimization of experimental conditions, including reaction temperature, MgSO Results: The established testing method exhibited high specificity, showing no cross-reactivity with adenovirus, human enterovirus, or rotavirus. The testing method also exhibited high sensitivity, with a detection limit of 51 copies/μL. The turnaround time was 45 min. For 34 stool samples from patients infected with norovirus, the testing results were highly consistent with those of the commercial kit, with a sensitivity of 100%, a specificity of 83.33%, and an area under the receiver operating characteristic (ROC) curve of 0.97 (95% CI: 0.92-1.00), indicating the high accuracy and reliability of the testing method. Conclusion: In this study, we successfully developed an RT-LAMP-based testing method for GⅡ norovirus, which exhibits excellent sensitivity, specificity, and practical performance in clinical sample testing, making it suitable for use in primary care laboratories and for rapid testing in field settings.

Indexed as

Caliciviridae InfectionsNorovirusNucleic Acid Amplification TechniquesFecesGenotypeHumansMolecular Diagnostic TechniquesRapid Diagnostic TestsReverse TranscriptionSensitivity and SpecificityGenogroup Ⅱ norovirusOn-site detectionPublic health laboratory sciencesReverse transcription loop-mediated isothermal amplification

Identifiers

PMID41536658
PMCPMC12796918

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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.