Evidence map›Paper›PMID 40829167›Full record

ArticleEuropean journal of public health2025

An extension of the Benefit Risk Assessment of VaccinEs toolkit to evaluate Comirnaty and Spikevax vaccination in the European Union.

Neilshan Loedy, Hector G Dorta, Steven Abrams, Jonas Crèvecoeur, Daniel R Morales, Catherine Cohet, Lander Willem, Geert Molenberghs, Niel Hens, Xavier Kurz and 2 more

Abstract read
In one paragraph

Article in European journal of public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Neilshan LoedyData Science Institute, I-Biostat, Hasselt University, Diepenbeek, Belgium.
Hector G DortaReal World Evidence Workstream, European Medicines Agency, Amsterdam, The Netherlands.
Steven AbramsData Science Institute, I-Biostat, Hasselt University, Diepenbeek, Belgium.
Jonas CrèvecoeurData Science Institute, I-Biostat, Hasselt University, Diepenbeek, Belgium.
Daniel R MoralesReal World Evidence Workstream, European Medicines Agency, Amsterdam, The Netherlands.
Catherine CohetReal World Evidence Workstream, European Medicines Agency, Amsterdam, The Netherlands.
Lander WillemCentre for Health Economics Research and Modelling of Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.
Geert MolenberghsData Science Institute, I-Biostat, Hasselt University, Diepenbeek, Belgium.
Niel HensData Science Institute, I-Biostat, Hasselt University, Diepenbeek, Belgium.ORCID 0000-0003-1881-0637
Xavier KurzReal World Evidence Workstream, European Medicines Agency, Amsterdam, The Netherlands.
Chantal QuintenReal World Evidence Workstream, European Medicines Agency, Amsterdam, The Netherlands.
Johan VerbeeckData Science Institute, I-Biostat, Hasselt University, Diepenbeek, Belgium.

Funding

European Medicines Agency EMA/2017/09/PEResearch Foundation-Flanders G059423N
6 · The paper itself

Abstract

Amid the global COVID-19 pandemic, vaccines were conditionally authorized for human use to protect against severe infection. The Benefit Risk Assessment of VaccinEs (BRAVE) toolkit, a user-friendly R Shiny application, was developed retrospectively together with the European Medicine Agency (EMA) with the aim of fulfilling the need for flexible tools to assess vaccine benefits and risks during and outside a pandemic situation. This study employed BRAVE to evaluate the impact of COVID-19 mRNA vaccines across 30 European Union (EU)/EEA countries by quantifying the number of prevented clinical events [i.e. confirmed infections, hospitalizations, intensive care unit (ICU) admissions, and deaths], using a probabilistic model informed by real-time incidence data and vaccine effectiveness estimates. The analysis assumes fixed population dynamics and behaviour. Additionally, BRAVE assesses risks associated with mRNA-based vaccines (myocarditis or pericarditis) by comparing observed incidence rates in vaccinated individuals with background incidence rates. mRNA vaccines were estimated to directly prevent 11.150 million [95% confidence interval (CI): 10.876-11.345] confirmed COVID-19 infections, 0.739 million (95% CI: 0.727-0.744) COVID-19 hospitalizations, 0.107 million (95% CI: 0.104-0.109) ICU admissions, and 0.187 million (95% CI: 0.182-0.189) COVID-19-related deaths in the EU/EEA between 13 December 2020 and 31 December 2021. Despite increased vaccination-associated myocarditis or pericarditis observed in younger men, the benefits of vaccination still outweigh these risks. Our study supports the benefit/risk profile of COVID-19 vaccines and emphasizes the utility of employing a flexible toolkit to assess risks and benefits of vaccination. This user-friendly and adaptable toolkit can serve as a blueprint for similar tools, enhancing preparedness for future public health crises.

Indexed as

COVID-19COVID-19 VaccinesAdolescentAdultAgedEuropean UnionFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentSARS-CoV-2VaccinationVaccine EfficacyYoung AdultCOVID-19 Vaccines

Identifiers

PMID40829167
PMCPMC12529280

What OpenQuestion holds

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LicenceCC BY-NC
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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.