Evidence map›Paper›PMID 37068951›Full record

Trial reportThorax2023

Asthma hospitalisations and heat exposure in England: a case-crossover study during 2002-2019.

Garyfallos Konstantinoudis, Cosetta Minelli, Holly Ching Yu Lam, Elaine Fuertes, Joan Ballester, Bethan Davies, Ana Maria Vicedo-Cabrera, Antonio Gasparrini, Marta Blangiardo

Abstract readClinical Trial
In one paragraph

Trial report in Thorax, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
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  5. Review
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  7. Review
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  11. Review
  12. Article
  13. Asthma Inception: Epidemiologic Risk Factors and Natural History Across the Life Course.American journal of respiratory and critical care medicine · 2024
    Review
  14. Article
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  16. Article
  17. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Garyfallos KonstantinoudisMRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK g.konstantinoudis@imperial.ac.uk.ORCID 0000-0001-7493-9334
Cosetta MinelliNational Heart and Lung Institute, Imperial College London, London, UK.ORCID 0000-0001-9166-3958
Holly Ching Yu LamUK Health Security Agency, London, UK.
Elaine FuertesMRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.ORCID 0000-0003-0205-9025
Joan BallesterClimate and Health Program (CLIMA), Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain.
Bethan DaviesUK Small Area Health Statistics Unit, imperial College London, London, UK.
Ana Maria Vicedo-CabreraInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
Antonio GasparriniDepartment of Public Health Environments and Society, London School of Hygiene Tropical Medicine, London, UK.
Marta BlangiardoSchool of Public Health, Imperial College London, London, UK.

Funding

Department of HealthMedical Research Council MR/L01341X/1Medical Research Council MR/R013349/1Medical Research Council MR/S019669/1Medical Research Council MR/T025352/1Medical Research Council MR/T03226X/1Medical Research Council MR/V034162/1
6 · The paper itself

Abstract

backgroundPrevious studies have reported an association between warm temperature and asthma hospitalisation. They have reported different sex-related and age-related vulnerabilities; nevertheless, little is known about how this effect has changed over time and how it varies in space. This study aims to evaluate the association between asthma hospitalisation and warm temperature and investigate vulnerabilities by age, sex, time and space.

methodsWe retrieved individual-level data on summer asthma hospitalisation at high temporal (daily) and spatial (postcodes) resolutions during 2002-2019 in England from the NHS Digital. Daily mean temperature at 1 km×1 km resolution was retrieved from the UK Met Office. We focused on lag 0-3 days. We employed a case-crossover study design and fitted Bayesian hierarchical Poisson models accounting for possible confounders (rainfall, relative humidity, wind speed and national holidays).

resultsAfter accounting for confounding, we found an increase of 1.11% (95% credible interval: 0.88% to 1.34%) in the asthma hospitalisation risk for every 1°C increase in the ambient summer temperature. The effect was highest for males aged 16-64 (2.10%, 1.59% to 2.61%) and during the early years of our analysis. We also found evidence of a decreasing linear trend of the effect over time. Populations in Yorkshire and the Humber and East and West Midlands were the most vulnerable.

conclusionThis study provides evidence of an association between warm temperature and hospital admission for asthma. The effect has decreased over time with potential explanations including temporal differences in patterns of heat exposure, adaptive mechanisms, asthma management, lifestyle, comorbidities and occupation.

Indexed as

AsthmaHot TemperatureBayes TheoremCross-Over StudiesEnglandHospitalizationHumansMaleasthma epidemiology

Identifiers

PMID37068951
PMCPMC10447396

What OpenQuestion holds

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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.