Evidence map›Paper›PMID 35128693›Full record

ArticleJournal of medical virology2022

Long-term immunity in convalescent Syrian hamsters provides protection against new-variant SARS-CoV-2 infection of the lower but not upper respiratory tract.

Charles B Stauft, Prabhuanand Selvaraj, Christopher Z Lien, Matthew F Starost, Tony T Wang

Open access · greenAbstract read
In one paragraph

Article in Journal of medical virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 26% 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, 9 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Charles B StauftDivision of Viral Products, Center for Biologics Evaluations and Research, Food and Drug Administration, Silver Spring, Maryland, USA.
Prabhuanand SelvarajDivision of Viral Products, Center for Biologics Evaluations and Research, Food and Drug Administration, Silver Spring, Maryland, USA.
Christopher Z LienDivision of Viral Products, Center for Biologics Evaluations and Research, Food and Drug Administration, Silver Spring, Maryland, USA.
Matthew F StarostDivision of Veterinary Resources, Diagnostic and Research Services Branch, National Institutes of Health, Bethesda, Maryland, USA.
Tony T WangDivision of Viral Products, Center for Biologics Evaluations and Research, Food and Drug Administration, Silver Spring, Maryland, USA.
Center for Biologics Evaluation and Research · USOffice of Research Services · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 vaccines provide high levels of protection against severe disease and hospitalization due to severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) infection. Vaccination may be less effective in preventing shedding of infectious viruses from otherwise immune patients. In this study, we describe breakthrough infections and shedding of infectious viruses in convalescent hamsters without significant replication in the lower respiratory tract following reinfection by Alpha and Delta variants despite high levels of circulating antibodies in sera. Using convalescent hamsters with long-term immunity (up to 1 year) following infection by ancestral SARS-CoV-2, we can model aspects of recurring COVID-19 in the context of preexisting immunity.

Indexed as

COVID-19AnimalsCOVID-19 VaccinesCricetinaeHumansMesocricetusSARS-CoV-2TracheaCOVID-19 VaccinesCOVID-19long-term immunitySARS-CoV-2variants of concern

Identifiers

PMID35128693
PMCPMC9088693
OpenAlexW4210421193

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.