Evidence map›Paper›PMID 35500877›Full record

ArticleClinica chimica acta; international journal of clinical chemistry2022

Semi-nested RT-PCR enables sensitive and high-throughput detection of SARS-CoV-2 based on melting analysis.

Ngoc Anh Thi Nguyen, Hoai Thi Bui, Quynh Thi-Huong Pham, Ly Thi Thao Hoang, Hung Xuan Ta, Timo Heikkinen, Duyet Van Le, Trang Dinh Van, Nam Quoc Ngo, Phuong Thi Hong Huynh and 21 more

Open access · greenAbstract read
In one paragraph

Article in Clinica chimica acta; international journal of clinical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

31 authors at 3 institutions in 1 country.

Ngoc Anh Thi NguyenDepartment of Genomics & Cytogenetics, Institute of Biomedicine and Pharmacy (IBP), Vietnam Military Medical University, Hanoi, Viet Nam.
Hoai Thi BuiDepartment of Genomics & Cytogenetics, Institute of Biomedicine and Pharmacy (IBP), Vietnam Military Medical University, Hanoi, Viet Nam.
Quynh Thi-Huong PhamDepartment of Genomics & Cytogenetics, Institute of Biomedicine and Pharmacy (IBP), Vietnam Military Medical University, Hanoi, Viet Nam.
Ly Thi Thao HoangDepartment of Genomics & Cytogenetics, Institute of Biomedicine and Pharmacy (IBP), Vietnam Military Medical University, Hanoi, Viet Nam.
Hung Xuan TaTop Data Science Ltd, Helsinki, Finland.
Timo HeikkinenTop Data Science Ltd, Helsinki, Finland.
Duyet Van LeNational Hospital of Tropical Diseases, 78 Giai Phong, Dong Da, Hanoi, Viet Nam.
Trang Dinh VanNational Hospital of Tropical Diseases, 78 Giai Phong, Dong Da, Hanoi, Viet Nam.
Nam Quoc NgoPhusa Biochem Biochemistry Ltd, Can Tho, Viet Nam.
Phuong Thi Hong HuynhPhusa Biochem Biochemistry Ltd, Can Tho, Viet Nam.
Trang Thi Huyen TranDepartment of Molecular Biology, 108 Hospital, Hanoi, Viet Nam; Vietnamese - German Centre of Excellence in Medical Research, 108 Hospital, Hanoi, Viet Nam.
Hoan Quoc PhanDepartment of Molecular Biology, 108 Hospital, Hanoi, Viet Nam.
Luong Van HoangInstitute of Biomedicine and Pharmacy (IBP), Vietnam Military Medical University, Hanoi, Vietnam.
H Rogier van DoornOxford University Clinical Research Unit, Hanoi, Viet Nam; Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK.
Diep Thi Ngoc NguyenOxford University Clinical Research Unit, Hanoi, Viet Nam.
Tam Thi NguyenOxford University Clinical Research Unit, Hanoi, Viet Nam.
Nam Sy VoDepartment of Computational Biomedicine, Vingroup Big Data Institute, Hanoi, Viet Nam.
Cuong Viet VoVietnamese- Russian Tropical Center, Hanoi, Viet Nam.
Sau Khac TrinhVietnamese- Russian Tropical Center, Hanoi, Viet Nam.
Tai The PhamInstitute of Biomedicine and Pharmacy (IBP), Vietnam Military Medical University, Hanoi, Vietnam.
Quang Duc LeDepartment of Systems Engineering and Computer Network, National University of Civil Engineering, Hanoi, Viet Nam.
Phan Van LeCollege of Veterinary Medicine, Vietnam National University of Agriculture, Hanoi, Viet Nam.
Son Thai Nguyen103 Military Hospital, Vietnam Military Medical University, Hanoi, Viet Nam.
Loan Thi TranDepartment of Genomics & Cytogenetics, Institute of Biomedicine and Pharmacy (IBP), Vietnam Military Medical University, Hanoi, Viet Nam.
Toan Dinh VuDepartment of Genomics & Cytogenetics, Institute of Biomedicine and Pharmacy (IBP), Vietnam Military Medical University, Hanoi, Viet Nam.
Quynh Anh Vu NguyenDepartment of Genomics & Cytogenetics, Institute of Biomedicine and Pharmacy (IBP), Vietnam Military Medical University, Hanoi, Viet Nam.
Nguyet Thi TrieuDepartment of Genomics & Cytogenetics, Institute of Biomedicine and Pharmacy (IBP), Vietnam Military Medical University, Hanoi, Viet Nam.
Thuy Thi LeDepartment of Genomics & Cytogenetics, Institute of Biomedicine and Pharmacy (IBP), Vietnam Military Medical University, Hanoi, Viet Nam.
Ung Dinh NguyenDepartment of Genomics & Cytogenetics, Institute of Biomedicine and Pharmacy (IBP), Vietnam Military Medical University, Hanoi, Viet Nam.
Jakob StemanDepartment of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden; Minerva Foundation Institute for Medical Research, Helsinki, Finland.
Tho Huu HoDepartment of Genomics & Cytogenetics, Institute of Biomedicine and Pharmacy (IBP), Vietnam Military Medical University, Hanoi, Viet Nam; 103 Military Hospital, Vietnam Military Medical University, Hanoi, Viet Nam. Electronic address: hohuutho@vmmu.edu.vn.
Vietnam Military Medical University · VNOxford University Clinical Research Unit · VNVietnam National University of Agriculture · VN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAsymptomatic transmission was found to be the Achilles' heel of the symptom-based screening strategy, necessitating the implementation of mass testing to efficiently contain the transmission of COVID-19 pandemic. However, the global shortage of molecular reagents and the low throughput of available realtime PCR facilities were major limiting factors.

methodsA novel semi-nested and heptaplex (7-plex) RT-PCR assay with melting analysis for detection of SARS-CoV-2 RNA has been established for either individual testing or 96-sample pooled testing. The complex melting spectrum collected from the heptaplex RT-PCR amplicons was interpreted with the support of an artificial intelligence algorithm for the detection of SARS-CoV-2 RNA. The analytical and clinical performance of the semi-nested RT-PCR assay was evaluated using RNAs synthesized in-vitro and those isolated from nasopharyngeal samples.

resultsThe LOD of the assay for individual testing was estimated to be 7.2 copies/reaction. Clinical performance evaluation indicated a sensitivity of 100% (95% CI: 97.83-100) and a specificity of 99.87% (95% CI: 99.55-99.98). More importantly, the assay supports a breakthrough sample pooling method, which makes possible parallel screening of up to 96 samples in one real-time PCR well without loss of sensitivity. As a result, up to 8,820 individual pre-amplified samples could be screened for SARS-CoV-2 within each 96-well plate of realtime PCR using the pooled testing procedure.

conclusionThe novel semi-nested RT-PCR assay provides a solution for highly multiplex (7-plex) detection of SARS-CoV-2 and enables 96-sample pooled detection for increase of testing capacity. .

Indexed as

COVID-19SARS-CoV-2Artificial IntelligenceHumansPandemicsReverse Transcriptase Polymerase Chain ReactionRNA, ViralSensitivity and SpecificityRNA, ViralArtificial intelligentCOVID-19High-throughput PCRMelting analysisPoolingSemi-nested

Identifiers

PMID35500877
PMCPMC9052777
OpenAlexW4225158228

What OpenQuestion holds

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Registered trials

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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.