Evidence map›Paper›PMID 35720366›Full record

ArticleFrontiers in immunology2022

Antibody Response to COVID-19 Booster Vaccination in Healthcare Workers.

Arianna Pani, Alessandra Romandini, Alice Schianchi, Michele Senatore, Oscar M Gagliardi, Gianluca Gazzaniga, Stefano Agliardi, Tommaso Conti, Paolo A Schenardi, Matteo Maggi and 14 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 11 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

24 authors at 5 institutions in 1 country.

Arianna PaniOncology and Hemato-Oncology Department, Università degli Studi di Milano, Milan, Italy.
Alessandra RomandiniOncology and Hemato-Oncology Department, Università degli Studi di Milano, Milan, Italy.
Alice SchianchiOncology and Hemato-Oncology Department, Università degli Studi di Milano, Milan, Italy.
Michele SenatoreOncology and Hemato-Oncology Department, Università degli Studi di Milano, Milan, Italy.
Oscar M GagliardiOncology and Hemato-Oncology Department, Università degli Studi di Milano, Milan, Italy.
Gianluca GazzanigaOncology and Hemato-Oncology Department, Università degli Studi di Milano, Milan, Italy.
Stefano AgliardiOncology and Hemato-Oncology Department, Università degli Studi di Milano, Milan, Italy.
Tommaso ContiOncology and Hemato-Oncology Department, Università degli Studi di Milano, Milan, Italy.
Paolo A SchenardiOncology and Hemato-Oncology Department, Università degli Studi di Milano, Milan, Italy.
Matteo MaggiOncology and Hemato-Oncology Department, Università degli Studi di Milano, Milan, Italy.
Stefano D'OnghiaOncology and Hemato-Oncology Department, Università degli Studi di Milano, Milan, Italy.
Valentina PanettaBiostatistics Office, L'altrastatistica srl - Consultancy & Training, Rome, Italy.
Silvia RenicaMicrobiology Unit, Laboratory Medicine Department, Niguarda Hospital, Milan, Italy.
Silvia Nerini MolteniMicrobiology Unit, Laboratory Medicine Department, Niguarda Hospital, Milan, Italy.
Chiara VismaraMicrobiology Unit, Laboratory Medicine Department, Niguarda Hospital, Milan, Italy.
Daniela CampisiMicrobiology Unit, Laboratory Medicine Department, Niguarda Hospital, Milan, Italy.
Michaela BertuzziQuality & Risk Control in Data Management, Azienda Socio Sanitaria Territoriale (ASST) Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Simona GiroldiSocio-sanitary Direction, Azienda Socio Sanitaria Territoriale (ASST) Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Laura ZoppiniSocio-sanitary Direction, Azienda Socio Sanitaria Territoriale (ASST) Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Mauro MorenoHealthcare Management Department, Azienda Socio Sanitaria Territoriale (ASST) Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Marco MerliInfectious Diseases Unit, Azienda Socio Sanitaria Territoriale (ASST) Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Marco BosioHealthcare Management Department, Azienda Socio Sanitaria Territoriale (ASST) Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Massimo PuotiInfectious Diseases Unit, Azienda Socio Sanitaria Territoriale (ASST) Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Francesco ScaglioneOncology and Hemato-Oncology Department, Università degli Studi di Milano, Milan, Italy.
University of Milan · ITAzienda Socio Sanitaria Territoriale Lariana · ITAzienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda · ITData Management (Italy) · ITUniversity of Milano-Bicocca · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the mean increase of anti-S IgG antibody titer between the basal, pre-booster level to the titer assessed 14 days after the booster dose of BNT162b2. Patients and Methods: The RENAISSANCE study is an observational, longitudinal, prospective, population-based study, conducted on healthcare workers of Niguarda Hospital in Milan, Italy who received a BNT162b2 booster dose at least 180 days after their second dose or after positivity for SARS-CoV-2 and accepted to take part in the study. The RENAISSANCE study was conducted from January 1, 2021 through December 28, 2021. Findings: 1,738 subjects were enrolled among healthcare workers registered for the booster administration at our hospital. Overall, 0.4% of subjects were seronegative at the pre-booster evaluation, and 1 subject had a titer equal to 50 AU/ml: none of the evaluated subjects was seronegative after the booster dose. Thus, the efficacy of the booster in our population was universal. Mean increase of pre- to post-booster titer was more significant in subjects who never had SARS-CoV-2 (44 times CI 95% 42-46) compared to those who had it, before (33 times, CI 95% 13-70) or after the first vaccination cycle (12 times, CI 95% 11-14). Differently from sex, age and pre-booster titers affected the post-booster antibody response. Nevertheless, the post-booster titer was very similar in all subgroups, and independent of a prior exposure to SARS-CoV-2, pre-booster titer, sex or age. Conclusion: Our study shows a potent universal antibody response of the booster dose of BNT162b2, regardless of pre-booster vaccine seronegativity.

Indexed as

Antibody FormationCOVID-19BNT162 VaccineHealth PersonnelHumansProspective StudiesSARS-CoV-2VaccinationBNT162 Vaccineantibody responseCOVID-19healthcare workers (HCWs)SARS-CoV-2vaccine booster

Identifiers

PMID35720366
PMCPMC9205631
OpenAlexW4281790484

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.