Evidence map›Paper›PMID 42812860›Full record

ArticleGeoHealth2026

Hay Fever Symptom Burden From Grass Pollen: Implications for Public Health Warning Thresholds.

Max J Tyler, Darsy Darssan, Edwin R Lampugnani, Nicholas J Osborne

Abstract read
In one paragraph

Article in GeoHealth, 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

4 authors.

Max J TylerSchool of Public Health The University of Queensland Brisbane QLD Australia.ORCID https://orcid.org/0009-0001-7480-3928
Darsy DarssanSchool of Public Health The University of Queensland Brisbane QLD Australia.ORCID https://orcid.org/0000-0001-7050-9150
Edwin R LampugnaniCollege of Health and Medicine Menzies Institute for Medical Research University of Tasmania Hobart TAS Australia.ORCID https://orcid.org/0000-0002-3666-7240
Nicholas J OsborneSchool of Public Health The University of Queensland Brisbane QLD Australia.ORCID https://orcid.org/0000-0002-6700-2284

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study quantifies the lagged association between grass pollen exposure and the onset of allergic rhinitis (AR) symptoms, including differences between asthmatic and non-asthmatic subgroups. Data included 114,834 self-reported AR symptoms collected from 25,194 uniquely identified users of a smartphone application. Reports were gathered prospectively for seven consecutive grass pollen seasons (2017-2023) in Melbourne. We adjusted for meteorological, air quality, and other time-varying covariates. A quasi-Poisson regression model combined with a distributed lag non-linear model (DLNM) was used, testing 0-7 days lagged effects. An association between grass exposure and daily AR incidence of any severity was observed on "low" exposure days (19 grains/m

Indexed as

allergic rhinitisallergyasthmaMelbournePoaceaepollensmartphone

Identifiers

PMID42812860
PMCPMC13620405

What OpenQuestion holds

Textmetadata
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.