Evidence map›Paper›PMID 37365569›Full record

SynthesisBMC medicine2023

Understanding the age spectrum of respiratory syncytial virus associated hospitalisation and mortality burden based on statistical modelling methods: a systematic analysis.

Bingbing Cong, Izzie Dighero, Tiantian Zhang, Alexandria Chung, Harish Nair, You Li

Abstract readMeta-Analysis
In one paragraph

Synthesis in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 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.

Bingbing Cong *Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Izzie Dighero *Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK.
Tiantian ZhangDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Alexandria ChungCentre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK.
Harish NairDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
You LiDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China. you.li@njmu.edu.cn.ORCID 0000-0002-8506-8439

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStatistical modelling studies based on excess morbidity and mortality are important for understanding RSV disease burden for age groups that are less frequently tested for RSV. We aimed to understand the full age spectrum of RSV morbidity and mortality burden based on statistical modelling studies, as well as the value of modelling studies in RSV disease burden estimation.

methodsThe databases Medline, Embase and Global Health were searched to identify studies published between January 1, 1995, and December 31, 2021, reporting RSV-associated excess hospitalisation or mortality rates of any case definitions using a modelling approach. All reported rates were summarised using median, IQR (Interquartile range) and range by age group, outcome and country income group; where applicable, a random-effects meta-analysis was conducted to combine the reported rates. We further estimated the proportion of RSV hospitalisations that could be captured in clinical databases.

resultsA total of 32 studies were included, with 26 studies from high-income countries. RSV-associated hospitalisation and mortality rates both showed a U-shape age pattern. Lowest and highest RSV acute respiratory infection (ARI) hospitalisation rates were found in 5-17 years (median: 1.6/100,000 population, IQR: 1.3-18.5) and < 1 year (2235.7/100,000 population, 1779.1-3552.5), respectively. Lowest and highest RSV mortality rates were found in 18-49 years (0.1/100,000 population, 0.06-0.2) and ≥ 75 years (80.0/100,000 population, 70.0-90.0) for high-income countries, respectively, and in 18-49 years (0.3/100,000 population, 0.1-2.4) and < 1 year (143.4/100,000 population, 143.4-143.4) for upper-middle income countries. More than 70% of RSV hospitalisations in children < 5 years could be captured in clinical databases whereas less than 10% of RSV hospitalisations could be captured in adults, especially for adults ≥ 50 years. Using pneumonia and influenza (P&I) mortality could potentially capture half of all RSV mortality in older adults but only 10-30% of RSV mortality in children.

conclusionsOur study provides insights into the age spectrum of RSV hospitalisation and mortality. RSV disease burden using laboratory records alone could be substantially severely underreported for age groups ≥ 5 years. Our findings confirm infants and older adults should be prioritised for RSV immunisation programmes.

trial registrationPROSPERO CRD42020173430.

Indexed as

Influenza, HumanRespiratory Syncytial Virus, HumanRespiratory Syncytial Virus InfectionsAgedChildChild, PreschoolHospitalizationHumansInfantModels, StatisticalBurden of diseaseHospitalisationModelMortalityRespiratory syncytial virusSystematic reviews

Identifiers

PMID37365569
PMCPMC10294405

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.