Evidence map›Paper›PMID 34845231›Full record

ReviewNPJ vaccines2021

Immune response against SARS-CoV-2 variants: the role of neutralization assays.

Alicja Maria Chmielewska, Anna Czarnota, Krystyna Bieńkowska-Szewczyk, Katarzyna Grzyb

Open access · goldAbstract readReview
In one paragraph

Review in NPJ vaccines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.1field-weighted citation impact, top 10% 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

20 citing papers in PubMed, 34 citations in OpenAlex.

  1. Dry powder formulations of hyperimmune serum.Drug delivery and translational research · 2025
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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.

Alicja Maria Chmielewska *Laboratory of Virus Molecular Biology, Intercollegiate Faculty of Biotechnology, University of Gdańsk, Gdańsk, Poland.
Anna Czarnota *Laboratory of Virus Molecular Biology, Intercollegiate Faculty of Biotechnology, University of Gdańsk, Gdańsk, Poland.ORCID http://orcid.org/0000-0001-7828-8145
Krystyna Bieńkowska-SzewczykLaboratory of Virus Molecular Biology, Intercollegiate Faculty of Biotechnology, University of Gdańsk, Gdańsk, Poland.
Katarzyna GrzybLaboratory of Virus Molecular Biology, Intercollegiate Faculty of Biotechnology, University of Gdańsk, Gdańsk, Poland. katarzyna.grzyb@ug.edu.pl.ORCID http://orcid.org/0000-0003-3666-7934
University of Gdańsk · PL

Funding

Narodowe Centrum Nauki (National Science Centre) UMO-2017/27/B/NZ6/01403
6 · The paper itself

Abstract

Since the emergence of the novel coronavirus SARS-CoV-2 in late 2019, the COVID-19 pandemic has hindered social life and global economic activity. As of July 2021, SARS-CoV-2 has caused over four million deaths. The rapid spread and high mortality of the disease demanded the international scientific community to develop effective vaccines in a matter of months. However, unease about vaccine efficacy has arisen with the spread of the SARS-CoV-2 variants of concern (VOCs). Time- and cost-efficient in vitro neutralization assays are widely used to measure neutralizing antibody responses against VOCs. However, the extent to which in vitro neutralization reflects protection from infection remains unclear. Here, we describe common neutralization assays based on infectious and pseudotyped viruses and evaluate their role in testing neutralizing responses against new SARS-CoV-2 variants. Additionally, we briefly review the recent findings on the immune response elicited by available vaccines against major SARS-CoV-2 variants, including Alpha, Beta, Gamma, and Delta.

Identifiers

PMID34845231
PMCPMC8630184
OpenAlexW3217484155

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.