Evidence map›Paper›PMID 40344555›Full record

ArticlePloS one2025

A protocol for high-dose quadrivalent influenza vaccine effectiveness in the community and long-term care facilities using electronic health records.

Patrícia Soares, Verónica Gómez, Vânia Gaio, João Almeida Santos, Ana Paula Rodrigues, Ausenda Machado

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

6 authors.

Patrícia SoaresNational Institute of Health Doutor Ricardo Jorge, Lisbon, Portugal.ORCID 0000-0001-5033-9115
Verónica GómezNational Institute of Health Doutor Ricardo Jorge, Lisbon, Portugal.
Vânia GaioNational Institute of Health Doutor Ricardo Jorge, Lisbon, Portugal.ORCID 0000-0001-7626-4991
João Almeida SantosNational Institute of Health Doutor Ricardo Jorge, Lisbon, Portugal.ORCID 0000-0002-8564-1098
Ana Paula RodriguesNational Institute of Health Doutor Ricardo Jorge, Lisbon, Portugal.
Ausenda MachadoNational Institute of Health Doutor Ricardo Jorge, Lisbon, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the 2022-2023 season in Portugal, a high-dose quadrivalent influenza vaccine is freely available for individuals living in long-term care facilities (LTCF). In 2024-2025, vaccination was extended to community-dwelling individuals aged ≥85 years. Given the scarcity of reported high-dose influenza vaccine effectiveness (IVE) estimates for this population, this study aims to estimate the high-dose relative and absolute IVE. A retrospective cohort study using data from electronic health records databases (EHR) will be implemented, using two cohorts, one of individuals vaccinated with influenza vaccine (to estimate relative IVE) and another of individuals eligible for the high-dose quadrivalent influenza vaccine (to estimate absolute IVE). We will consider two subgroups for both cohorts: individuals living in LTCF and community-dwelling individuals aged ≥85. We will use a fixed cohort approach, defining the eligible population by age at the vaccination campaign(s) start and living status. The outcomes are based on the primary cause of hospital admission. The reference population database will be defined by linking EHR on vaccination, comorbidities, and hospitalisations using a unique identifier through a deterministic data linkage procedure, and influenza vaccination status will be assessed retrospectively. We will use Cox proportional hazards regression models to estimate the hazard ratio (HR), considering as event the first hospitalisation due to influenza-like-illness and as exposure the vaccination status. IVE will be estimated as one minus the confounder-adjusted HR of vaccinated with the high-dose quadrivalent influenza vaccine vs vaccinated with standard dose (to estimate relative IVE) or unvaccinated (to estimate absolute IVE). While challenges such as EHR constraints and potential reporting bias pose limitations, using routinely collected data has successfully estimated COVID-19 VE and enables precise monitoring of VE with higher representativeness. The results of this study will inform the Health Ministry on the future influenza vaccine programme in Portugal.

Indexed as

Electronic Health RecordsInfluenza, HumanInfluenza VaccinesVaccine EfficacyAgedAged, 80 and overCOVID-19FemaleHospitalizationHumansLong-Term CareMalePortugalRetrospective StudiesVaccinationInfluenza Vaccines

Identifiers

PMID40344555
PMCPMC12064189

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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.