Evidence map›Paper›PMID 41022885›Full record

ArticleNPJ vaccines2025

Effects of repeated influenza vaccination and infection on durable seroprotection in healthcare workers.

Mai-Chi Trieu, Amit Bansal, Marianne Sævik, Sonja Ljostveit, Åsne Jul-Larsen, Rebecca Jane Cox

Abstract read
In one paragraph

Article in NPJ vaccines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Influenza vaccine-specific CD4NPJ vaccines · 2026
    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

6 authors.

Mai-Chi TrieuInfluenza Centre, Department of Clinical Science, University of Bergen, Bergen, Norway. chi.trieu@uib.no.
Amit BansalInfluenza Centre, Department of Clinical Science, University of Bergen, Bergen, Norway.
Marianne SævikDepartment of Medicine, Haukeland University Hospital, Bergen, Norway.
Sonja LjostveitInfluenza Centre, Department of Clinical Science, University of Bergen, Bergen, Norway.
Åsne Jul-LarsenInfluenza Centre, Department of Clinical Science, University of Bergen, Bergen, Norway.
Rebecca Jane CoxInfluenza Centre, Department of Clinical Science, University of Bergen, Bergen, Norway. rebecca.cox@uib.no.

Funding

EU IHI Inno4vac 101007799EU INCENTIVE 874866EU Vaccelerate 1010 37867Research Council of Norway Globvac program 284930
6 · The paper itself

Abstract

Rapid evolution of seasonal influenza viruses necessitates annual vaccine reformulation to match circulating strains. Healthcare workers (HCWs) and high-risk groups are prioritised for annual influenza vaccination. However, repeated annual vaccination may affect immune protection. This study investigated the hemaglutination-inhibition (HI) antibody responses following influenza infection or repeated seasonal vaccination over four seasons in 250 HCWs with well-defined vaccination histories. Unvaccinated HCWs had high infection rates, with pre-existing antibodies providing protection. Infection or hybrid immunity generated higher antibody responses to A/H3N2 viruses than vaccination alone, whereas vaccination induced more durable A/H1N1 and B virus-specific antibodies. Vaccination boosted seroprotective antibodies, irrespective of previous vaccination histories. Moreover, repeated vaccination with the same virus for more than three consecutive seasons blunted antibody responses, while updating vaccine strains improved immunity. Annual influenza vaccination of HCWs should be strengthened to increase uptake, but next-generation influenza vaccines must improve vaccine immunogenicity, particularly against A/H3N2 viruses.

Identifiers

PMID41022885
PMCPMC12480258

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.