Evidence map›Paper›PMID 36069616›Full record

ArticleMicrobiology spectrum2022

Rapid Evaluation of Vaccine Booster Effectiveness against SARS-CoV-2 Variants.

Hoi Lok Cheng, Sing Mei Lim, Huan Jia, Ming Wei Chen, Say Yong Ng, Xiaohong Gao, Jyoti Somani, Sharmila Sengupta, Dousabel M Y Tay, Patrina W L Chua and 6 more

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. 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

16 authors at 3 institutions in 2 countries.

Hoi Lok Cheng *Singapore-MIT Alliance in Research and Technology, Singapore.
Sing Mei Lim *Singapore-MIT Alliance in Research and Technology, Singapore.
Huan Jia *Singapore-MIT Alliance in Research and Technology, Singapore.
Ming Wei ChenSchool of Biological Sciences, Nanyang Technological Universitygrid.59025.3b, Singapore.
Say Yong NgSingapore-MIT Alliance in Research and Technology, Singapore.
Xiaohong GaoSchool of Biological Sciences, Nanyang Technological Universitygrid.59025.3b, Singapore.
Jyoti SomaniNational University Hospital, Singapore, Singapore.
Sharmila SenguptaNational University Hospital, Singapore, Singapore.
Dousabel M Y TayDepartment of Chemical Engineering, Massachusetts Institute of Technologygrid.116068.8, USA.
Patrina W L ChuaSingapore-MIT Alliance in Research and Technology, Singapore.
Abirami RSingapore-MIT Alliance in Research and Technology, Singapore.
Sharon Y H LingSingapore-MIT Alliance in Research and Technology, Singapore.
Megan E McBeeSingapore-MIT Alliance in Research and Technology, Singapore.
Barnaby E YoungNational Centre for Infectious Diseases, Singapore, Singapore.
Hadley D SikesSingapore-MIT Alliance in Research and Technology, Singapore.
Peter R PreiserSchool of Biological Sciences, Nanyang Technological Universitygrid.59025.3b, Singapore.ORCID 0000-0003-4331-7000
Singapore-MIT Alliance for Research and Technology · SGNanyang Technological University · SGNational University Hospital · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the COVID-19 pandemic continues, countries around the world are switching toward vaccinations and boosters to combat the pandemic. However, waning immunity against SARS-CoV-2 wild-type (WT) and variants have been widely reported. Booster vaccinations have shown to be able to increase immunological protection against new variants; however, the protection observed appears to decrease quickly over time suggesting a second booster shot may be appropriate. Moreover, heterogeneity and waning of the immune response at the individual level was observed suggesting a more personalized vaccination approach should be considered. To evaluate such a personalized strategy, it is important to have the ability to rapidly evaluate the level of neutralizing antibody (nAbs) response against variants at the individual level and ideally at a point of care setting. Here, we applied the recently developed cellulose pulled-down virus neutralization test (cpVNT) to rapidly assess individual nAb levels to WT and variants of concerns in response to booster vaccination. Our findings confirmed significant heterogeneity of nAb responses against a panel of SARS-CoV-2 variants, and indicated a strong increase in nAb response against variants of concern (VOCs) upon booster vaccination. For instance, the nAb response against current predominant omicron variant was observed with medians of 88.1% (

Indexed as

COVID-19VaccinesAntibodies, NeutralizingAntibodies, ViralHumansPandemicsSARS-CoV-2VaccinationAntibodies, NeutralizingAntibodies, ViralVaccinesCOVIDneutralizing antibodiespoint-of-care test

Identifiers

PMID36069616
PMCPMC9602425
OpenAlexW4294920902

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.