Evidence map›Paper›PMID 33947425›Full record

ArticleVirology journal2021

Excellent option for mass testing during the SARS-CoV-2 pandemic: painless self-collection and direct RT-qPCR.

Eva Kriegova, Regina Fillerova, Milan Raska, Jirina Manakova, Martin Dihel, Ondrej Janca, Pavel Sauer, Martina Klimkova, Petra Strakova, Petr Kvapil

Open access · goldAbstract readValidation Study
In one paragraph

Article in Virology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 30% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
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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.

Eva KriegovaDepartment of Immunology, OLGEN, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Hnevotinska 3, 77900, Olomouc, Czech Republic. eva.kriegova@email.cz.ORCID 0000-0002-8969-4197
Regina FillerovaDepartment of Immunology, OLGEN, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Hnevotinska 3, 77900, Olomouc, Czech Republic.
Milan RaskaDepartment of Immunology, OLGEN, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Hnevotinska 3, 77900, Olomouc, Czech Republic.
Jirina ManakovaDepartment of Immunology, OLGEN, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Hnevotinska 3, 77900, Olomouc, Czech Republic.
Martin DihelDepartment of Immunology, OLGEN, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Hnevotinska 3, 77900, Olomouc, Czech Republic.
Ondrej JancaDepartment of Immunology, OLGEN, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Hnevotinska 3, 77900, Olomouc, Czech Republic.
Pavel SauerDepartment of Microbiology, Faculty of Medicine and Dentistry, Palacky University Olomouc and University Hospital Olomouc, Olomouc, Czech Republic.
Martina KlimkovaHospital Sumperk, Šumperk, Czech Republic.
Petra StrakovaVeterinary Research Institute, Brno, Czech Republic.
Petr KvapilInstitute of Applied Biotechnologies a.s., Prague, Czech Republic.
University Hospital Olomouc · CZInstitute of Applied Biotechnologies (Czechia) · CZVeterinary Research Institute · CZ

Funding

Ministerstvo Školství, Mládeže a Tělovýchovy CZ.02.1.01/0.0/0.0/15_003/0000495Ministerstvo Zdravotnictví Ceské Republiky FNOl, 00098892Univerzita Palackého v Olomouci IGA_LF_2021_15Veterinární a Farmaceutická Univerzita Brno RVO: RO 0518
6 · The paper itself

Abstract

The early identification of asymptomatic yet infectious cases is vital to curb the 2019 coronavirus (COVID-19) pandemic and to control the disease in the post-pandemic era. In this paper, we propose a fast, inexpensive and high-throughput approach using painless nasal-swab self-collection followed by direct RT-qPCR for the sensitive PCR detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This approach was validated in a large prospective cohort study of 1038 subjects, analysed simultaneously using (1) nasopharyngeal swabs obtained with the assistance of healthcare personnel and analysed by classic two-step RT-qPCR on RNA isolates and (2) nasal swabs obtained by self-collection and analysed with direct RT-qPCR. Of these subjects, 28.6% tested positive for SARS-CoV-2 using nasopharyngeal swab sampling. Our direct RT-qPCR approach for self-collected nasal swabs performed well with results similar to those of the two-step RT-qPCR on RNA isolates, achieving 0.99 positive and 0.98 negative predictive values (cycle threshold [Ct] < 37). Our research also reports on grey-zone viraemia, including samples with near-cut-off Ct values (Ct ≥ 37). In all investigated subjects (n = 20) with grey-zone viraemia, the ultra-small viral load disappeared within hours or days with no symptoms. Overall, this study underscores the importance of painless nasal-swab self-collection and direct RT-qPCR for mass testing during the SARS-CoV-2 pandemic and in the post-pandemic era.

Indexed as

Clinical Laboratory TechniquesCOVID-19COVID-19 TestingDiagnostic Tests, RoutineHumansMass ScreeningReal-Time Polymerase Chain ReactionSARS-CoV-2Self-ExaminationSensitivity and SpecificitySpecimen HandlingSurveys and QuestionnairesViral LoadCOVID-19Mass molecular testingNasal mid-turbinate swabPCR diagnosticsPost-pandemic eraSelf-collection

Identifiers

PMID33947425
PMCPMC8094981
OpenAlexW3158699378

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.