Evidence map›Paper›PMID 35597776›Full record

ArticleScientific reports2022

Heterogeneous SARS-CoV-2 humoral response after COVID-19 vaccination and/or infection in the general population.

Fabrice Carrat, Paola Mariela Saba Villarroel, Nathanael Lapidus, Toscane Fourié, Hélène Blanché, Céline Dorival, Jérôme Nicol, Jean-François Deleuze, Olivier Robineau, SAPRIS-SERO Study Group and 4 more

Erratum issued Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT04392388 (Health, Perception, Practices, Relations and Social Inequalities in the General Population During the Covid-19 Crisis - Serology), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 20% 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.

NCT04392388 completednot on this map

Health, Perception, Practices, Relations and Social Inequalities in the General Population During the Covid-19 Crisis - Serology

TypeobservationalSponsorInstitut National de la Santé Et de la Recherche Médicale, FranceRan2020 to 2023Enrolled96,883ConditionsSARS-CoV 2ArmsNon applicable
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 2 countries.

Fabrice CarratInstitut Pierre-Louis d'Épidémiologie et de Santé Publique, Sorbonne Université, Inserm, Département de santé publique, Hôpital Saint-Antoine, APHP, 27 rue Chaligny, 75571, Paris Cedex 12, France. fabrice.carrat@iplesp.upmc.fr.ORCID 0000-0002-8672-7918
Paola Mariela Saba VillarroelUnité des Virus Émergents, UVE, IRD 190, INSERM 1207, Aix Marseille Univ, IHU Méditerranée Infection, Marseille, France.
Nathanael LapidusInstitut Pierre-Louis d'Épidémiologie et de Santé Publique, Sorbonne Université, Inserm, Département de santé publique, Hôpital Saint-Antoine, APHP, 27 rue Chaligny, 75571, Paris Cedex 12, France.
Toscane FouriéUnité des Virus Émergents, UVE, IRD 190, INSERM 1207, Aix Marseille Univ, IHU Méditerranée Infection, Marseille, France.
Hélène BlanchéFondation Jean Dausset-CEPH (Centre d'Etude du Polymorphisme Humain), CEPH-Biobank, Paris, France.
Céline DorivalInstitut Pierre-Louis d'Épidémiologie et de Santé Publique, Sorbonne Université, Inserm, Paris, France.
Jérôme NicolInstitut Pierre-Louis d'Épidémiologie et de Santé Publique, Sorbonne Université, Inserm, Paris, France.
Jean-François DeleuzeFondation Jean Dausset-CEPH (Centre d'Etude du Polymorphisme Humain), CEPH-Biobank, Paris, France.
Olivier RobineauInstitut Pierre-Louis d'Épidémiologie et de Santé Publique, Sorbonne Université, Inserm, Paris, France.
SAPRIS-SERO Study Group
Mathilde TouvierInserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Sorbonne Paris Nord University, Epidemiology and Statistics Research Center - University of Paris (CRESS), Bobigny, France.
Gianluca SeveriCESP UMR1018, UVSQ, Inserm, Université Paris-Saclay, Gustave Roussy, Villejuif, France.
Marie ZinsParis University, Paris, France.
Xavier de LamballerieUnité des Virus Émergents, UVE, IRD 190, INSERM 1207, Aix Marseille Univ, IHU Méditerranée Infection, Marseille, France.
Inserm · FRFondation Jean Dausset-CEPH · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessment of the intensity, dynamics and determinants of the antibody response after SARS-CoV-2 infection or vaccination in the general population is critical to guide vaccination policies. This study characterized the anti-spike IgG titers in 13,971 participants included in a French multicohort population-based serological survey on COVID-19 between April and October 2020 and followed-up with serological testing between May and October 2021. Eight follow-up profiles were defined depending on SARS-CoV-2 infection (0, 1 or 2) and COVID-19 vaccination (0, 1, 2 or 3). The anti-spike titer was lower in adults with no vaccination even in case of infection or reinfection, while it was higher in adults with infection followed by vaccination. The anti-spike titer was negatively correlated with age in vaccinated but uninfected adults, whereas it was positively correlated with age in unvaccinated but infected adults. In adults with 2 vaccine injections and no infection, the vaccine protocol, age, gender, and time since the last vaccine injection were independently associated with the anti-spike titer. The decrease in anti-spike titer was much more rapid in vaccinated than in infected subjects. These results highlight the strong heterogeneity of the antibody response against SARS-CoV-2 in the general population depending on previous infection and vaccination.

Indexed as

COVID-19SARS-CoV-2AdultAntibodies, ViralAntibody FormationCOVID-19 VaccinesHumansVaccinationAntibodies, ViralCOVID-19 Vaccines

Identifiers

PMID35597776
PMCPMC9123863
OpenAlexW4281253034

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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.