Evidence map›Paper›PMID 34067031›Full record

ArticlePathogens (Basel, Switzerland)2021

The Association between Weather Conditions and Admissions to the Paediatric Intensive Care Unit for Respiratory Syncytial Virus Bronchiolitis.

Rosalie S Linssen, Bibiche den Hollander, Louis Bont, Job B M van Woensel, Reinout A Bem, On Behalf Of The Pice Study Group

Open access · goldAbstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Observational
  3. Observational
  4. Article
  5. Respiratory Tract Infections in Children.Pathogens (Basel, Switzerland) · 2021
    Article
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 at 2 institutions in 1 country.

Rosalie S LinssenPaediatric Intensive Care Unit, Emma Children's Hospital, Amsterdam University Medical Centers, Location AMC, 1105 AZ Amsterdam, The Netherlands.ORCID 0000-0003-2568-216X
Bibiche den HollanderPaediatric Intensive Care Unit, Emma Children's Hospital, Amsterdam University Medical Centers, Location AMC, 1105 AZ Amsterdam, The Netherlands.ORCID 0000-0003-1544-2402
Louis BontUMCU Laboratory of Translational Immunology, University Medical Center Utrecht, Wilhelmina Children's Hospital, 3584 EA Utrecht, The Netherlands.
Job B M van WoenselPaediatric Intensive Care Unit, Emma Children's Hospital, Amsterdam University Medical Centers, Location AMC, 1105 AZ Amsterdam, The Netherlands.
Reinout A BemPaediatric Intensive Care Unit, Emma Children's Hospital, Amsterdam University Medical Centers, Location AMC, 1105 AZ Amsterdam, The Netherlands.ORCID 0000-0002-9454-5321
On Behalf Of The Pice Study Group
Emma Kinderziekenhuis · NLUniversity Medical Center Utrecht · NL

Funding

Amsterdam UMC PhD Scholarship n.a.CJ Vaillant Foundation n.a.the Innovative Medicines Initiative 2 Joint Undertaking 116019
6 · The paper itself

Abstract

Respiratory syncytial virus (RSV) bronchiolitis is a leading cause of global child morbidity and mortality. Every year, seasonal RSV outbreaks put high pressure on paediatric intensive care units (PICUs) worldwide, including in the Netherlands, and this burden appears to be increasing. Weather conditions have a strong influence on RSV activity, and climate change has been proposed as a potential important determinant of future RSV-related health care utilisation. In this national study spanning a total of 13 years with 2161 PICU admissions for RSV bronchiolitis, we aimed (1) to identify meteorological variables that were associated with the number of PICU admissions for RSV bronchiolitis in the Netherlands and (2) to determine if longitudinal changes in these variables occurred over time as a possible explanation for the observed increase in PICU burden. Poisson regression modelling was used to identify weather variables (aggregated in months and weeks) that predicted PICU admissions, and linear regression analysis was used to assess changes in the weather over time. Maximum temperature and global radiation best predicted PICU admissions, with global radiation showing the most stable strength of effect in both month and week data. However, we did not observe a significant change in these weather variables over the 13-year time period. Based on our study, we could not identify changing weather conditions as a potential contributing factor to the increased RSV-related PICU burden in the Netherlands.

Indexed as

bronchiolitisclimateepidemiologymeteorologicalpaediatric critical carerespiratory syncytial virusweather

Identifiers

PMID34067031
PMCPMC8150834
OpenAlexW3162453169

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.