Evidence map›Paper›PMID 39995488›Full record

ArticleThe Lancet regional health. Europe2025

Estimation of respiratory syncytial virus-associated hospital admissions in five European countries: a modelling study.

Caroline Klint Johannesen, David Gideonse, Richard Osei-Yeboah, Toni Lehtonen, Ombeline Jollivet, Rachel A Cohen, Arantxa Urchueguía-Fornes, María Herrero-Silvestre, Mónica López-Lacort, Rolf Kramer and 6 more

Abstract read
In one paragraph

Article in The Lancet regional health. Europe, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 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

16 authors.

Caroline Klint JohannesenDepartment of Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark.
David GideonseCentre for Infectious Disease Control, National Institute for Public Health and the Environment, the Netherlands.
Richard Osei-YeboahCentre for Global Health, Usher Institute, The University of Edinburgh, Edinburgh, United Kingdom.
Toni LehtonenDepartment of Health Security, Finnish Institute for Health and Welfare, Helsinki, Finland.
Ombeline JollivetSanofi, Lyon, France.
Rachel A CohenGSK, Rockville, MD, United States.
Arantxa Urchueguía-FornesVaccine Research Department, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), Valencia, Spain.
María Herrero-SilvestreVaccine Research Department, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), Valencia, Spain.
Mónica López-LacortVaccine Research Department, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region (FISABIO), Valencia, Spain.
Rolf KramerSanofi, Lyon, France.
Thea K FischerDepartment of Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark.
Terho HeikkinenDepartment of Pediatrics, University of Turku and Turku University Hospital, Turku, Finland.
Harish NairCentre for Global Health, Usher Institute, The University of Edinburgh, Edinburgh, United Kingdom.
Harry CampbellCentre for Global Health, Usher Institute, The University of Edinburgh, Edinburgh, United Kingdom.
Michiel van BovenCentre for Infectious Disease Control, National Institute for Public Health and the Environment, the Netherlands.
PROMISE investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Respiratory syncytial virus (RSV) can cause severe disease, notably among infants, older adults, and individuals with comorbidities. Non-systematic testing and differences in coding practices affect direct measures of the hospital disease burden. We aim to tackle this issue and estimate RSV-associated respiratory hospital admissions through time series modelling of hospital admissions. Methods: The number of RSV hospital admissions in Denmark, England, Finland, the Netherlands, and Spain were estimated with attribution analyses, using age-specific respiratory tract infection (RTI) admissions combined with virological data, both from routinely collected healthcare data. Analyses covered the years 2016-2023. Findings: The attributed incidence of RSV per 100,000 children 0-2 months ranged from 1715 in Denmark to 3842 in England. In older adults, substantial differences in the incidence of ICD-10 coded RSV hospitalisations were found, while the attributed RSV incidence was more comparable, ranging from approximately 100 per 100,000 in adults 65-74 years to 200 per 100,000 persons 75-84 years and 500 per 100,000 persons 85 years and older. Interpretation: RSV-attributed time series exhibit a high degree of synchronicity between participating countries, suggesting that this method for attribution addresses the known issues with underdiagnosis and misclassification. In the older age groups, a substantial proportion of RTI hospitalisations is attributed to RSV, underscoring the relevance of RSV as a cause of severe respiratory infections. Funding: This project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement 101034339. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation programme and EFPIA.

Indexed as

Burden of diseaseHospital admissionsNational register-based studyRespiratory tract infectionRSVTime series analysis

Identifiers

PMID39995488
PMCPMC11848484

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.