Evidence mapPaperPMID 39360831Full record

ReviewClinical microbiology reviews2024

Recent advances in the influenza virus vaccine landscape: a comprehensive overview of technologies and trials.

Tristan W Clark, John S Tregoning, Helen Lister, Tiziano Poletti, Femy Amin, Jonathan S Nguyen-Van-Tam

Abstract readReview
In one paragraph

Review in Clinical microbiology reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

6 authors.

Tristan W Clark *School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
John S Tregoning *Department of Infectious Disease, Imperial College London, London, United Kingdom.ORCID 0000-0001-8093-8741
Helen ListerSanofi, Reading, United Kingdom.ORCID 0000-0002-5958-4587
Tiziano PolettiSanofi, Reading, United Kingdom.
Femy AminSanofi, Reading, United Kingdom.
Jonathan S Nguyen-Van-TamUniversity of Nottingham School of Medicine, Nottingham, United Kingdom.

Funding

Sanofi
6 · The paper itself

Abstract

SUMMARYIn the United Kingdom (UK) in 2022/23, influenza virus infections returned to the levels recorded before the COVID-19 pandemic, exerting a substantial burden on an already stretched National Health Service (NHS) through increased primary and emergency care visits and subsequent hospitalizations. Population groups ≤4 years and ≥65 years of age, and those with underlying health conditions, are at the greatest risk of influenza-related hospitalization. Recent advances in influenza virus vaccine technologies may help to mitigate this burden. This review aims to summarize advances in the influenza virus vaccine landscape by describing the different technologies that are currently in use in the UK and more widely. The review also describes vaccine technologies that are under development, including mRNA, and universal influenza virus vaccines which aim to provide broader or increased protection. This is an exciting and important era for influenza virus vaccinations, and advances are critical to protect against a disease that still exerts a substantial burden across all populations and disproportionately impacts the most vulnerable, despite it being over 80 years since the first influenza virus vaccines were deployed.

Indexed as

Influenza, HumanInfluenza VaccinesClinical Trials as TopicHumansUnited KingdomInfluenza Vaccinesadjuvantedinactivatedinfluenza virusLAIVlive attenuatedpreventionrecombinantvaccine efficacyvaccine safetyvaccine technologies

Identifiers

PMID39360831
PMCPMC11629632

What Socratic 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 Socratic graph.