Evidence map›Paper›PMID 35596057›Full record

ArticleInfection2023

Analysis of seven SARS-CoV-2 rapid antigen tests in detecting omicron (B.1.1.529) versus delta (B.1.617.2) using cell culture supernatants and clinical specimens.

Sabrina Jungnick, Bernhard Hobmaier, Natali Paravinja, Lena Mautner, Mona Hoyos, Regina Konrad, Maren Haase, Armin Baiker, Ute Eberle, Magdalena Bichler and 17 more

Open access · hybridAbstract read
In one paragraph

Article in Infection, 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
0.6field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. 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

27 authors at 3 institutions in 2 countries.

Sabrina Jungnick *Public Health Microbiology Unit, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany.
Bernhard Hobmaier *Public Health Microbiology Unit, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany.
Natali Paravinja *Public Health Microbiology Unit, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany.
Lena MautnerUnit of Molecular Biologic Analytics and Biogenetics, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany.
Mona HoyosUnit of Molecular Biologic Analytics and Biogenetics, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany.
Regina KonradPublic Health Microbiology Unit, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany.
Maren HaaseUnit of Molecular Biologic Analytics and Biogenetics, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany.
Armin BaikerUnit of Molecular Biologic Analytics and Biogenetics, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany.
Ute EberlePublic Health Microbiology Unit, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany.
Magdalena BichlerPublic Health Microbiology Unit, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany.
Bianca TreisPublic Health Microbiology Unit, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany.
Mercy OkeyoPublic Health Microbiology Unit, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany.
Barbara StreiblPublic Health Microbiology Unit, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany.
Clara WimmerPublic Health Microbiology Unit, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany.
Sabrina HepnerPublic Health Microbiology Unit, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany.
Annika SprengerPublic Health Microbiology Unit, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany.
Carola BergerPublic Health Microbiology Unit, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany.
Laura WeisePublic Health Microbiology Unit, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany.
Alexandra DangelPublic Health Microbiology Unit, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany.
Siegfried IppischBavarian Pandemic Warehouse, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany.
Walter JonasBavarian State Institute of Health, Oberschleißheim, Germany.
Manfred WildnerLudwig Maximilian University, Munich, Germany.
Bernhard LieblLudwig Maximilian University, Munich, Germany.
Nikolaus AckermannPublic Health Microbiology Unit, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany.
Andreas SingPublic Health Microbiology Unit, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany.
Volker FingerlePublic Health Microbiology Unit, Bavarian Health and Food Safety Authority, Oberschleißheim, Germany. volker.fingerle@lgl.bayern.de.ORCID http://orcid.org/0000-0002-3835-5646
Bavarian SARS-CoV-2-Public Health Laboratory Team
Institute of Bioinformatics and Systems Biology · DEHealth and Safety Authority · IELudwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOmicron is rapidly spreading as a new SARS-CoV-2 variant of concern (VOC). The question whether this new variant has an impact on SARS-CoV-2 rapid antigen test (RAT) performance is of utmost importance. To obtain an initial estimate regarding differences of RATs in detecting omicron and delta, seven commonly used SARS-CoV-2 RATs from different manufacturers were analysed using cell culture supernatants and clinical specimens.

methodsFor this purpose, cell culture-expanded omicron and delta preparations were serially diluted in Dulbecco's modified Eagle's Medium (DMEM) and the Limit of Detection (LoD) for both VOCs was determined. Additionally, clinical specimens stored in viral transport media or saline (n = 51) were investigated to complement in vitro results with cell culture supernatants. Ct values and RNA concentrations were determined via quantitative reverse transcription polymerase chain reaction (RT-qPCR).

resultsThe in vitro determination of the LoD showed no obvious differences in detection of omicron and delta for the RATs examined. The LoD in this study was at a dilution level of 1:1,000 (corresponding to 3.0-5.6 × 10

conclusionIn this study, RATs from various manufacturers were investigated, which displayed no obvious differences in terms of analytical LoD in vitro and RAT positivity rates based on clinical samples comparing the VOCs omicron and delta. However, differences between tests produced by various manufacturers were detected. In terms of clinical samples, a focus of this study was on specimens with high virus concentrations. Further systematic, clinical and laboratory studies utilizing large datasets are urgently needed to confirm reliable performance in terms of sensitivity and specificity for all individual RATs and SARS-CoV-2 variants.

Indexed as

COVID-19Cell Culture TechniquesHumansRNASARS-CoV-2RNAComparisonDelta (B.1.617.2)Omicron (B.1.1.529)SARS-CoV-2 rapid antigen testVariants of concern

Identifiers

PMID35596057
PMCPMC9122478
OpenAlexW4281260910

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.