Evidence map›Paper›PMID 35571072›Full record

ArticleJournal of clinical virology plus2022

Safety and immunogenicity of synchronous COVID19 and influenza vaccination.

Andreina Baj, Daniela Dalla Gasperina, Daniele Focosi, Greta Forlani, Francesca Drago Ferrante, Federica Novazzi, Lorenzo Azzi, Fabrizio Maggi

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical virology plus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Andreina BajDepartment of Medicine and Surgery, University of Insubria, Varese, Italy.
Daniela Dalla GasperinaDepartment of Medicine and Surgery, University of Insubria, Varese, Italy.
Daniele FocosiNorth-Western Tuscany Blood Bank, Pisa University Hospital, Pisa, Italy.
Greta ForlaniDepartment of Medicine and Surgery, University of Insubria, Varese, Italy.
Francesca Drago FerranteLaboratory of Microbiology, ASST Sette Laghi, Varese, Italy.
Federica NovazziLaboratory of Microbiology, ASST Sette Laghi, Varese, Italy.
Lorenzo AzziDepartment of Medicine and Surgery, University of Insubria, Varese, Italy.
Fabrizio MaggiDepartment of Medicine and Surgery, University of Insubria, Varese, Italy.
University of Insubria · ITAziende Socio Sanitarie Territoriale dei Sette Laghi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the ongoing COVID19 pandemic, the decline in serological response since dose 2, and the upcoming flu season, COVID19 vaccines will increasingly be administered in combination with vaccines against seasonal pathogens. It is of interest to confirm that concurrent vaccination against influenzavirus has no negative impact on serological response to SARS CoV-2. Anti-Spike IgG and Anti-Receptor Binding Domain (RBD) Neutralizing Antibodies (NAb) in serum  was assessed in 64 immunocompetent healthcare workers (HCW) before and 14 days post the third dose of BNT162b2 vaccine (Comirnaty®, Pfizer/BioNTech) or BNT162b2 plus quadrivalent flu vaccine (Vaxigript Tetra ®Sanofi Pasteur) on the same day. We report here safety and efficacy of combined BNT162b2 and flu vaccine in 64 healthcare workers at a single institution. No differences were found in adverse events or anti-Spike antibody levels.

Indexed as

COVID-19HCW, healthcare workersHealthcare workersInfluenzavirusNPS, nasopharyngeal swabSARS-CoV-2SerologyVaccinationVBT, vaccine breakthrough

Identifiers

PMID35571072
PMCPMC9077796
OpenAlexW4228999277

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.