Evidence map›Paper›PMID 37561225›Full record

ArticleMedical microbiology and immunology2023

Ten rapid antigen tests for SARS-CoV-2 widely differ in their ability to detect Omicron-BA.4 and -BA.5.

Franziska Krenn, Christopher Dächert, Irina Badell, Gaia Lupoli, Gamze Naz Öztan, Tianle Feng, Nikolas Schneider, Melanie Huber, Hanna Both, Patricia M Späth and 10 more

Abstract read
In one paragraph

Article in Medical microbiology and immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

20 authors.

Franziska KrennMax von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany.
Christopher DächertMax von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany.
Irina BadellMax von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany.
Gaia LupoliMax von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany.
Gamze Naz ÖztanMax von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany.
Tianle FengMax von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany.
Nikolas SchneiderMax von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany.
Melanie HuberMax von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany.
Hanna BothMax von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany.
Patricia M SpäthMax von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany.
Maximilian MuenchhoffMax von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany.
Alexander GrafLaboratory for Functional Genome Analysis, Gene Center, LMU München, Munich, Germany.
Stefan KrebsLaboratory for Functional Genome Analysis, Gene Center, LMU München, Munich, Germany.
Helmut BlumLaboratory for Functional Genome Analysis, Gene Center, LMU München, Munich, Germany.
Jürgen DurnerLabor Becker MVZ GbR, Munich, Germany.
Ludwig CzibereLabor Becker MVZ GbR, Munich, Germany.
Lars KaderaliInstitute of Bioinformatics, University Medicine Greifswald, Greifswald, Germany.
Oliver T KepplerMax von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany. keppler@mvp.lmu.de.
Hanna-Mari BaldaufMax von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany. baldauf@mvp.lmu.de.
Andreas OstermanMax von Pettenkofer Institute & Gene Center, Virology, National Reference Center for Retroviruses, LMU München, Munich, Germany. osterman@mvp.lmu.de.ORCID http://orcid.org/0000-0001-5435-5972

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since late 2021, the variant landscape of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been dominated by the variant of concern (VoC) Omicron and its sublineages. We and others have shown that the detection of Omicron-BA.1 and -BA.2-positive respiratory specimens by rapid antigen tests (RATs) is impaired compared to Delta VoC-containing samples. Here, in a single-center retrospective laboratory study, we evaluated the performance of ten most commonly used RATs for the detection of Omicron-BA.4 and -BA.5 infections. We used 171 respiratory swab specimens from SARS-CoV-2 RNA-positive patients, of which 71 were classified as BA.4 and 100 as BA.5. All swabs were collected between July and September 2022. 50 SARS-CoV-2 PCR-negative samples from healthy individuals, collected in October 2022, showed high specificity in 9 out of 10 RATs. When assessing analytical sensitivity using clinical specimens, the 50% limit of detection (LoD50) ranged from 7.6 × 10

Indexed as

COVID-19SARS-CoV-2HumansPandemicsRetrospective StudiesRNA, ViralRNA, ViralDiagnostic testLateral flowNucleocapsid proteinOmicronSARS-CoV-2 rapid antigen testSensitivitySpecificityVoC

Identifiers

PMID37561225
PMCPMC10501931

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.