Evidence map›Paper›PMID 40974735›Full record

ArticleVaccine2025

Effectiveness of JN.1 monovalent COVID-19 vaccination in EU/EEA countries between October 2024 and January 2025: a VEBIS electronic health record network study.

James Humphreys, Alexandre Blake, Nathalie Nicolay, Toon Braeye, Izaak Van Evercooren, Christian Holm Hansen, Ida Rask Moustsen-Helms, Chiara Sacco, Alberto Mateo-Urdiales, Jesús Castilla and 10 more

Abstract read
In one paragraph

Article in Vaccine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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

20 authors.

James HumphreysEpiconcept, Paris, France. Electronic address: j.humphreys@epiconcept.fr.
Alexandre BlakeEpiconcept, Paris, France.
Nathalie NicolayVaccine Preventable Diseases and Immunisation, European Centre for Disease Prevention and Control (ECDC), Solna, Sweden.
Toon BraeyeSciensano, Juliette Wytsmanstraat 14. 1050, Elsene, Belgium.
Izaak Van EvercoorenSciensano, Juliette Wytsmanstraat 14. 1050, Elsene, Belgium.
Christian Holm HansenDepartment of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark.
Ida Rask Moustsen-HelmsDepartment of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark.
Chiara SaccoInfectious Diseases Department, Istituto Superiore di Sanità, Rome, Italy; European Programme on Intervention Epidemiology Training (EPIET), European Centre for Disease Prevention and Control, Stockholm, Sweden.
Alberto Mateo-UrdialesInfectious Diseases Department, Istituto Superiore di Sanità, Rome, Italy.
Jesús CastillaInstituto de Salud Pública de Navarra - IdiSNA, Pamplona, Spain; CIBER on Epidemiology and Public Health, Spain.
Iván Martínez-BazInstituto de Salud Pública de Navarra - IdiSNA, Pamplona, Spain; CIBER on Epidemiology and Public Health, Spain.
Ausenda MachadoInstituto Nacional de Saúde Doutor Ricardo Jorge, Departamento de Epidemiologia, Lisboa, 1600-609, Portugal.
Andre BritoInstituto Nacional de Saúde Doutor Ricardo Jorge, Departamento de Epidemiologia, Lisboa, 1600-609, Portugal.
Rickard LjungSwedish Medical Products Agency, Uppsala, Sweden; Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Nicklas PihlstromSwedish Medical Products Agency, Uppsala, Sweden; Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Yohann MansiauxEpiconcept, Paris, France.
Susana MongeDepartment of Communicable Diseases, National Centre of Epidemiology, Institute of Health Carlos III, Madrid, Spain; CIBER on Infectious Diseases, Spain.
Sabrina BacciVaccine Preventable Diseases and Immunisation, European Centre for Disease Prevention and Control (ECDC), Solna, Sweden.
Baltazar NunesEpiconcept, Paris, France.
VEBIS-EHR working group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We estimated vaccine effectiveness (VE) of Omicron JN.1-adapted COVID-19 vaccines administered during the 2024 autumnal vaccination campaign against COVID-19 hospitalisation and death among eligible individuals aged ≥65 years. The study period was October 2024-January 2025. Using a common protocol across six EU/EEA study sites, we linked electronic health records to construct retrospective cohorts and applied Cox modelling to estimate VE via confounder-adjusted hazard ratios. The majority of vaccines administered during the study period were Omicron JN.1-adapted COVID-19 vaccines (99 %). VE against hospitalisation was 60 % (95 % Confidence Interval: 48-70 %) and against COVID-19-related death was 78 % (95 %CI: 64-87 %) among individuals aged 65-79 years; 58 % (95 %CI: 48-66 %) and 62 % (95 %CI: 32-79 %) among those aged ≥80 years. These results indicate high effectiveness in the initial months of the campaign. Continued monitoring is necessary to confirm these results, including estimates of VE in those with longer time since vaccination and during different variant predominance periods.

Indexed as

COVID-19COVID-19 VaccinesSARS-CoV-2Vaccine EfficacyAgedAged, 80 and overBNT162 VaccineElectronic Health RecordsEuropean UnionFemaleHospitalizationHumansMaleRetrospective StudiesVaccinationBNT162 VaccineCOVID-19 VaccinesCohort designCOVID-19Electronic health recordsHospitalisationMulti-country studySARS-CoV-2Vaccine effectiveness

Identifiers

PMID40974735
PMCPMC12540226

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.