Evidence map›Paper›PMID 42135365›Full record

ArticleScientific reports2026

Analysing allergen-environment interactions to identify drivers of asthma presentations in Metropolitan Melbourne, 2017-2022.

Kira M Hughes, Matthew R E Symonds, Cenk Suphioglu

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Kira M HughesNeuroAllergy Research Laboratory (NARL), School of Life and Environmental Sciences, Faculty of Science, Engineering and Built Environment, Deakin University, Burwood, Australia.
Matthew R E SymondsSchool of Life and Environmental Sciences, Faculty of Science, Engineering and Built Environment, Deakin University, Burwood, Australia.
Cenk SuphiogluNeuroAllergy Research Laboratory (NARL), School of Life and Environmental Sciences, Faculty of Science, Engineering and Built Environment, Deakin University, Burwood, Australia. cenk.suphioglu@deakin.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although associations between airborne allergens, weather conditions and respiratory health have been established, the precise mechanisms that contribute to the onset and severity of epidemic thunderstorm asthma (ETSA) events remain poorly understood. One critical area of this research lies in understanding the role of fungal spores, which have not been extensively studied for their impact on asthma exacerbations compared to pollen, as well as the influence of certain pollutants like ozone on airborne allergens, which is not well documented. This study aimed to identify the environmental parameters that influence the dispersal & distribution of airborne allergens and how these factors are associated with asthma presentations. Analysis was conducted on 475 days of data collected over a 6-year period between October-December. Using eight global negative binomial generalised linear mixed model formulations combined with a model selection approach, we analysed airborne levels of grass pollen, Alternaria spp., and Cladosporium spp. from Metropolitan Melbourne, along with weather values from the Bureau of Meteorology (precipitation, temperature, humidity, dew point, wind direction, wind speed, air pressure) and pollution values from the Environmental Protection Authority (CO, NO

Indexed as

Air PollutantsAllergensAsthmaAlternariaAustraliaCladosporiumHumansOzonePollenSeasonsSpores, FungalWeatherAir PollutantsAllergensOzone

Identifiers

PMID42135365
PMCPMC13370029

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.