Evidence map›Paper›PMID 35981541›Full record

ArticleMed (New York, N.Y.)2022

Monitoring of the SARS-CoV-2 Omicron BA.1/BA.2 lineage transition in the Swedish population reveals increased viral RNA levels in BA.2 cases.

Antonio Lentini, Antonio Pereira, Ola Winqvist, Björn Reinius

Open access · hybridAbstract readCase Reports
In one paragraph

Article in Med (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

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  8. SARS-CoV-2 viral load and shedding kinetics.Nature reviews. Microbiology · 2023
    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

4 authors at 1 institution in 1 country.

Antonio LentiniDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, 171 77 Solna, Sweden.
Antonio PereiraABC Labs, Biomedicum, 171 77 Solna, Sweden.
Ola WinqvistABC Labs, Biomedicum, 171 77 Solna, Sweden.
Björn ReiniusDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, 171 77 Solna, Sweden. Electronic address: bjorn.reinius@ki.se.
Karolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThroughout the SARS-CoV-2 pandemic, multiple waves of variants of concern have swept across populations, leading to a chain of new and yet more contagious variants dominating COVID-19 cases. Here, we tracked the remarkably rapid shift from Omicron BA.1 to BA.2 sublineage dominance in the Swedish population in early 2022 at a day-by-day basis.

methodsUsing a custom SARS-CoV-2 Omicron BA.1 lineage-typing RT-PCR assay, we analyzed 174,933 clinical upper airway samples collected during January to March 2022.

findingsOur study demonstrates the feasibility and reliability of parallel lineage assignment of select variants at population scale, tracking the dominant sublineage transition from BA.1 to BA.2 at day-to-day resolution and uncovering nearly 2-fold higher levels of viral RNA in cases infected with Omicron BA.2 relative to BA.1.

conclusionsOur data provide unique insights into the Omicron BA.1 to BA.2 transition that occurred in Sweden during early 2022, and later, across the world. This may help to understand the increased transmissibility of the BA.2 variant.

Indexed as

COVID-19RNA, ViralHumansReproducibility of ResultsSARS-CoV-2SwedenRNA, ViralBA.1BA.2CDCnasopharyngealOmicronRT-PCRSARS-CoV-2Translation to population healthtransmissibilityupper airwaysviral load

Identifiers

PMID35981541
PMCPMC9359497
OpenAlexW4292411698

What OpenQuestion holds

Textmetadata
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.