Evidence map›Paper›PMID 33724631›Full record

ReviewReviews in medical virology2021

Neutralising antibody escape of SARS-CoV-2 spike protein: Risk assessment for antibody-based Covid-19 therapeutics and vaccines.

Daniele Focosi, Fabrizio Maggi

Open access · bronzeAbstract readReview
In one paragraph

Review in Reviews in medical virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 4 pooled it
10.6field-weighted citation impact, top 1% 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

91 citing papers in PubMed, 4 syntheses or guidelines pooled it, 172 citations in OpenAlex.

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  17. Genetic variability of the SARS-CoV-2 JN.1 lineage.Pathogens and global health · 2024
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31 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Daniele FocosiNorth-Western Tuscany Blood Bank, Pisa University Hospital, Pisa, Italy.ORCID https://orcid.org/0000-0001-8811-195X
Fabrizio MaggiDepartment of Medicine and Surgery, University of Insubria, Varese, Italy.
University of Insubria · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Spike protein is the target of both antibody-based therapeutics (convalescent plasma, polyclonal serum, monoclonal antibodies) and vaccines. Mutations in Spike could affect efficacy of those treatments. Hence, monitoring of mutations is necessary to forecast and readapt the inventory of therapeutics. Different phylogenetic nomenclatures have been used for the currently circulating SARS-CoV-2 clades. The Spike protein has different hotspots of mutation and deletion, the most dangerous for immune escape being the ones within the receptor binding domain (RBD), such as K417N/T, N439K, L452R, Y453F, S477N, E484K, and N501Y. Convergent evolution has led to different combinations of mutations among different clades. In this review we focus on the main variants of concern, that is, the so-called UK (B.1.1.7), South African (B.1.351) and Brazilian (P.1) strains.

Indexed as

Antibodies, MonoclonalAntibodies, NeutralizingAntibodies, ViralBrazilCOVID-19COVID-19 SerotherapyCOVID-19 VaccinesGene ExpressionHumansImmune EvasionImmunization, PassiveMutationPhylogenyProtein BindingRisk AssessmentSARS-CoV-2Antibodies, MonoclonalAntibodies, NeutralizingAntibodies, ViralCOVID-19 VaccinesSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2B.1.1.7B.1.351bamlanivimabBNT162b2casirivimabconvalescent plasmaCOVID-19etesevimabimdevimabimmune escapeLyCoV016LY-CoV555mRNA-1273mutationsneutralising antibodyP.1P.2polyclonal immunoglobulinsREGN10933REGN10987SARS-CoV-2

Identifiers

PMID33724631
PMCPMC8250244
OpenAlexW3137152384

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.