Evidence map›Paper›PMID 29649224›Full record

ArticlePloS one2018

Seasonal asthma in Melbourne, Australia, and some observations on the occurrence of thunderstorm asthma and its predictability.

Jeremy D Silver, Michael F Sutherland, Fay H Johnston, Edwin R Lampugnani, Michael A McCarthy, Stephanie J Jacobs, Alexandre B Pezza, Edward J Newbigin

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

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

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

  1. Pooled it
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  8. Article
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  14. A Review of the Respiratory Health Burden Attributable to Short-Term Exposure to Pollen.International journal of environmental research and public health · 2022
    Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Thunderstorm Asthma: Looking Back and Looking Forward.Journal of asthma and allergy · 2020
    Review
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

8 authors.

Jeremy D SilverSchool of Earth Sciences, University of Melbourne, Parkville, Victoria, Australia.ORCID 0000-0003-1502-6249
Michael F SutherlandInstitute of Breathing and Sleep, Department of Medicine, University of Melbourne, Parkville, Victoria, Australia.
Fay H JohnstonMenzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.
Edwin R LampugnaniSchool of BioSciences, University of Melbourne, Parkville, Victoria, Australia.
Michael A McCarthySchool of BioSciences, University of Melbourne, Parkville, Victoria, Australia.
Stephanie J JacobsSchool of Earth, Atmosphere & Environment, Monash University, Clayton, Victoria, Australia.
Alexandre B PezzaGreater Wellington Regional Council, Pipitea, Wellington, New Zealand.
Edward J NewbiginSchool of BioSciences, University of Melbourne, Parkville, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We examine the seasonality of asthma-related hospital admissions in Melbourne, Australia, in particular the contribution and predictability of episodic thunderstorm asthma. Using a time-series ecological approach based on asthma admissions to Melbourne metropolitan hospitals, we identified seasonal peaks in asthma admissions that were centred in late February, June and mid-November. These peaks were most likely due to the return to school, winter viral infections and seasonal allergies, respectively. We performed non-linear statistical regression to predict daily admission rates as functions of the seasonal cycle, weather conditions, reported thunderstorms, pollen counts and air quality. Important predictor variables were the seasonal cycle and mean relative humidity in the preceding two weeks, with higher humidity associated with higher asthma admissions. Although various attempts were made to model asthma admissions, none of the models explained substantially more variation above that associated with the annual cycle. We also identified a list of high asthma admissions days (HAADs). Most HAADs fell in the late-February return-to-school peak and the November allergy peak, with the latter containing the greatest number of daily admissions. Many HAADs in the spring allergy peak may represent episodes of thunderstorm asthma, as they were associated with rainfall, thunderstorms, high ambient grass pollen levels and high humidity, a finding that suggests thunderstorm asthma is a recurrent phenomenon in Melbourne that occurs roughly once per five years. The rarity of thunderstorm asthma events makes prediction challenging, underscoring the importance of maintaining high standards of asthma management, both for patients and health professionals, especially during late spring and early summer.

Indexed as

SeasonsWeatherAdolescentAdultAgedAged, 80 and overAir PollutionAllergensAsthmaAustraliaChildChild, PreschoolFemaleHospitalizationHumansInfantAllergens

Identifiers

PMID29649224
PMCPMC5896915

What OpenQuestion holds

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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.