Evidence map›Paper›PMID 36109713›Full record

ArticleBMC medicine2022

SARS-CoV-2 infection, vaccination, and antibody response trajectories in adults: a cohort study in Catalonia.

Marianna Karachaliou, Gemma Moncunill, Ana Espinosa, Gemma Castaño-Vinyals, Rocío Rubio, Marta Vidal, Alfons Jiménez, Esther Prados, Anna Carreras, Beatriz Cortés and 16 more

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 4% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 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

26 authors at 9 institutions in 3 countries.

Marianna Karachaliou *Barcelona Institute for Global Health (ISGlobal), Doctor Aiguader, 88, 08003, Barcelona, Spain. marianna.karachaliou@isglobal.org.ORCID 0000-0002-3014-0747
Gemma Moncunill *Barcelona Institute for Global Health (ISGlobal), Doctor Aiguader, 88, 08003, Barcelona, Spain.
Ana EspinosaBarcelona Institute for Global Health (ISGlobal), Doctor Aiguader, 88, 08003, Barcelona, Spain.
Gemma Castaño-VinyalsBarcelona Institute for Global Health (ISGlobal), Doctor Aiguader, 88, 08003, Barcelona, Spain.
Rocío RubioBarcelona Institute for Global Health (ISGlobal), Doctor Aiguader, 88, 08003, Barcelona, Spain.
Marta VidalBarcelona Institute for Global Health (ISGlobal), Doctor Aiguader, 88, 08003, Barcelona, Spain.
Alfons JiménezBarcelona Institute for Global Health (ISGlobal), Doctor Aiguader, 88, 08003, Barcelona, Spain.
Esther PradosBarcelona Institute for Global Health (ISGlobal), Doctor Aiguader, 88, 08003, Barcelona, Spain.
Anna CarrerasGenomes for Life-GCAT lab. Institute for Health Science Research Germans Trias i Pujol (IGTP), Badalona, Spain.
Beatriz CortésGenomes for Life-GCAT lab. Institute for Health Science Research Germans Trias i Pujol (IGTP), Badalona, Spain.
Natàlia BlayGenomes for Life-GCAT lab. Institute for Health Science Research Germans Trias i Pujol (IGTP), Badalona, Spain.
Marc BañulsBarcelona Institute for Global Health (ISGlobal), Doctor Aiguader, 88, 08003, Barcelona, Spain.
Vanessa PleguezuelosBanc de Sang i Teixits (BST), Barcelona, Spain.
Natalia Rodrigo MeleroCentre for Genomic Regulation (CRG), Barcelona, Spain.
Pau SerraInstitut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Barcelona, Spain.
Daniel ParrasInstitut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Barcelona, Spain.
Luis IzquierdoBarcelona Institute for Global Health (ISGlobal), Doctor Aiguader, 88, 08003, Barcelona, Spain.
Pere SantamaríaInstitut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Barcelona, Spain.
Carlo CarolisCentre for Genomic Regulation (CRG), Barcelona, Spain.
Kyriaki PapantoniouDepartment of Epidemiology, Center for Public Health, Medical University of Vienna, Vienna, Austria.
Ximena GoldbergBarcelona Institute for Global Health (ISGlobal), Doctor Aiguader, 88, 08003, Barcelona, Spain.
Ruth AguilarBarcelona Institute for Global Health (ISGlobal), Doctor Aiguader, 88, 08003, Barcelona, Spain.
Judith Garcia-AymerichBarcelona Institute for Global Health (ISGlobal), Doctor Aiguader, 88, 08003, Barcelona, Spain.
Rafael de CidGenomes for Life-GCAT lab. Institute for Health Science Research Germans Trias i Pujol (IGTP), Badalona, Spain.
Manolis Kogevinas *Barcelona Institute for Global Health (ISGlobal), Doctor Aiguader, 88, 08003, Barcelona, Spain.
Carlota Dobaño *Barcelona Institute for Global Health (ISGlobal), Doctor Aiguader, 88, 08003, Barcelona, Spain. carlota.dobano@isglobal.org.
Barcelona Institute for Global Health · ESInstitut d'Investigació en Ciències de la Salut Germans Trias i Pujol · ESUniversitat Pompeu Fabra · ESCentro de Investigación Biomédica en Red · ESCentre for Genomic Regulation · ESConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESBanc de Sang i Teixits · ESMedical University of Vienna · ATUniversity of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHeterogeneity of the population in relation to infection, COVID-19 vaccination, and host characteristics is likely reflected in the underlying SARS-CoV-2 antibody responses.

methodsWe measured IgM, IgA, and IgG levels against SARS-CoV-2 spike and nucleocapsid antigens in 1076 adults of a cohort study in Catalonia between June and November 2020 and a second time between May and July 2021. Questionnaire data and electronic health records on vaccination and COVID-19 testing were available in both periods. Data on several lifestyle, health-related, and sociodemographic characteristics were also available.

resultsAntibody seroreversion occurred in 35.8% of the 64 participants non-vaccinated and infected almost a year ago and was related to asymptomatic infection, age above 60 years, and smoking. Moreover, the analysis on kinetics revealed that among all responses, IgG RBD, IgA RBD, and IgG S2 decreased less within 1 year after infection. Among vaccinated, 2.1% did not present antibodies at the time of testing and approximately 1% had breakthrough infections post-vaccination. In the post-vaccination era, IgM responses and those against nucleoprotein were much less prevalent. In previously infected individuals, vaccination boosted the immune response and there was a slight but statistically significant increase in responses after a 2nd compared to the 1st dose. Infected vaccinated participants had superior antibody levels across time compared to naïve-vaccinated people. mRNA vaccines and, particularly the Spikevax, induced higher antibodies after 1st and 2nd doses compared to Vaxzevria or Janssen COVID-19 vaccines. In multivariable regression analyses, antibody responses after vaccination were predicted by the type of vaccine, infection age, sex, smoking, and mental and cardiovascular diseases.

conclusionsOur data support that infected people would benefit from vaccination. Results also indicate that hybrid immunity results in superior antibody responses and infection-naïve people would need a booster dose earlier than previously infected people. Mental diseases are associated with less efficient responses to vaccination.

Indexed as

COVID-19Viral VaccinesAntibody FormationCohort StudiesCOVID-19 TestingCOVID-19 VaccinesHumansImmunoglobulin AImmunoglobulin GImmunoglobulin MMiddle AgedNucleoproteinsSARS-CoV-2SpainVaccinationCOVID-19 VaccinesImmunoglobulin AImmunoglobulin GImmunoglobulin MNucleoproteinsViral VaccinesAdultsAntibodyComorbiditiesCOVID-19 vaccinesDeterminantsKineticsSARS-CoV-2Smoking

Identifiers

PMID36109713
PMCPMC9479347
OpenAlexW4296034962

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.