Evidence map›Paper›PMID 36701368›Full record

SynthesisJournal of global health2023

Global and national influenza-associated hospitalisation rates: Estimates for 40 countries and administrative regions.

John Paget, Lisa Staadegaard, Xin Wang, You Li, Tayma van Pomeren, Jojanneke van Summeren, Michel Dückers, Sandra S Chaves, Emily K Johnson, Cédric Mahé and 3 more

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 5 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

56 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  4. Determining the timing of respiratory syncytial virus (RSV) epidemics: a systematic review, 2016 to 2021; method categorisation and identification of influencing factors.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024
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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

13 authors.

John PagetNetherlands Institute for Health Services Research (Nivel), Utrecht, the Netherlands.
Lisa StaadegaardNetherlands Institute for Health Services Research (Nivel), Utrecht, the Netherlands.
Xin WangSchool of Public Health, Nanjing Medical University, Nanjing, China.
You LiSchool of Public Health, Nanjing Medical University, Nanjing, China.
Tayma van PomerenNetherlands Institute for Health Services Research (Nivel), Utrecht, the Netherlands.
Jojanneke van SummerenNetherlands Institute for Health Services Research (Nivel), Utrecht, the Netherlands.
Michel DückersNetherlands Institute for Health Services Research (Nivel), Utrecht, the Netherlands.
Sandra S ChavesFoundation for Influenza Epidemiology, Fondation de France, Paris, France.
Emily K JohnsonInstitute of Health Metrics and Evaluation, University of Washington, Seattle, USA.
Cédric MahéFoundation for Influenza Epidemiology, Fondation de France, Paris, France.
Harish NairCentre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK.
Cecile ViboudFogarty International Center, National Institutes of Health, Bethesda, USA.
Peter SpreeuwenbergNetherlands Institute for Health Services Research (Nivel), Utrecht, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: WHO estimates that seasonal influenza epidemics result in three to five million cases of severe illness (hospitalisations) every year. We aimed to improve the understanding of influenza-associated hospitalisation estimates at a national and global level. Methods: We performed a systematic literature review of English- and Chinese-language studies published between 1995 and 2020 estimating influenza-associated hospitalisation. We included a total of 127 studies (seven in Chinese) in the meta-analysis and analyzed their data using a logit-logistic regression model to understand the influence of five study factors and produce national and global estimates by age groups. The five study factors assessed were: 1) the method used to calculate the influenza-associated hospitalisation estimates (rate- or time series regression-based), 2) the outcome measure (divided into three envelopes: narrow, medium, or wide), 3) whether every case was laboratory-confirmed or not, 4) whether the estimates were national or sub-national, 5) whether the rates were based on a single year or multiple years. Results: The overall pooled influenza-associated hospitalisation rate was 40.5 (95% confidence interval (CI) = 24.3-67.4) per 100 000 persons, with rates varying substantially by age: 224.0 (95% CI = 118.8-420.0) in children aged 0-4 years and 96.8 (95% CI = 57.0-164.3) in the elderly aged >65 years. The overall pooled hospitalisation rates varied by calculation method; for all ages, the rates were significantly higher when they were based on rate-based methods or calculated on a single season and significantly lower when cases were laboratory-confirmed. The national hospitalisation rates (all ages) varied considerably, ranging from 11.7 (95% CI = 3.8-36.3) per 100 000 in New Zealand to 122.1 (95% CI = 41.5-358.4) per 100 000 in India (all age estimates). Conclusions: Using the pooled global influenza-associated hospitalisation rate, we estimate that seasonal influenza epidemics result in 3.2 million cases of severe illness (hospitalisations) per annum. More extensive analyses are required to assess the influence of other factors on the estimates (e.g. vaccination and dominant virus (sub)types) and efforts to harmonize the methods should be encouraged. Our study highlights the high rates of influenza-associated hospitalisations in children aged 0-4 years and the elderly aged 65+ years.

Indexed as

Global HealthInfluenza, HumanAgedChild, PreschoolHospitalizationHumansInfantInfant, NewbornNew ZealandSeasonsVaccination

Identifiers

PMID36701368
PMCPMC9879557

What OpenQuestion holds

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LicenceCC BY
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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.