Evidence map›Paper›PMID 39163535›Full record

ArticleThe Pediatric infectious disease journal2024

Respiratory Syncytial Virus Hospital Admission Rates and Patients' Characteristics Before the Age of 2 Years in England, 2015-2019.

Maria João Fonseca, Saskia Hagenaars, Mathieu Bangert, Clare Flach, Richard D A Hudson

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Article in The Pediatric infectious disease journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 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

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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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

5 authors.

Maria João FonsecaFrom the IQVIA, Lisbon, Portugal.
Saskia HagenaarsIQVIA, London, United Kingdom.ORCID 0000-0001-9697-8596
Mathieu BangertSanofi, Lyon, France.
Clare FlachIQVIA, London, United Kingdom.
Richard D A HudsonSanofi, Reading, United Kingdom.ORCID 0000-0003-2661-5348

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA granular understanding of respiratory syncytial virus (RSV) burden in England is needed to prepare for new RSV prevention strategies. We estimated the rates of RSV hospital admissions before the age of 2 years in England and described baseline characteristics.

methodsA birth cohort of all infants born between March 1, 2015, and February 28, 2017 (n = 449,591) was established using Clinical Practice Research Datalink-Hospital Episode Statistics. Case cohorts included infants with admission for (1) RSV, (2) bronchiolitis, (3) any respiratory tract infection (RTI) <24 months and (4) RSV predicted by an algorithm <12 months. Baseline characteristics were described in the case and comparative cohorts (infants without corresponding admission). Cumulative incidence and admission rates were calculated. Multiple linear regression was used to estimate the proportion of RTI healthcare visits attributable to RSV.

resultsThe RSV-coded/RSV-predicted case cohorts were composed of 4813/12,694 infants (cumulative incidence: 1.1%/2.8%). Case cohort infants were more likely to have low birth weight, comorbidities and to be born during RSV season than comparative cohort infants, yet >77% were term-healthy infants and >54% were born before the RSV season. During the first year of life, 11.6 RSV-coded and 34.4 RSV-predicted hospitalizations occurred per 1000 person-years. Overall, >25% of unspecified lower RTI admissions were estimated to be due to RSV.

conclusionsIn England, 1 in 91 infants had an RSV-coded admission, likely underestimated by ~3-fold. Most infants were term-healthy infants born before the RSV season. To decrease the total burden of RSV at the population level, immunization programs need to protect all infants.

Indexed as

HospitalizationRespiratory Syncytial Virus, HumanRespiratory Syncytial Virus InfectionsBirth CohortEnglandFemaleHumansIncidenceInfantInfant, NewbornMaleRespiratory Tract InfectionsSeasons

Identifiers

PMID39163535
PMCPMC11319075

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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.