Evidence map›Paper›PMID 41878468›Full record

ArticleInternational journal of population data science2026

Association between daily maximum temperature and immediate-to-delayed gout flare hospitalisations: a population-level time series study in metropolitan Perth, Australia.

Derrick Lopez, Ross J Marriott, Hans Nossent, Helen I Keen, Charles Inderjeeth, David B Preen

Abstract read
In one paragraph

Article in International journal of population data science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

6 authors.

Derrick LopezSchool of Population and Global Health, The University of Western Australia, Crawley, Western Australia.
Ross J MarriottSchool of Population and Global Health, The University of Western Australia, Crawley, Western Australia.
Hans NossentMedical School, The University of Western Australia, Crawley, Western Australia.
Helen I KeenMedical School, The University of Western Australia, Crawley, Western Australia.
Charles InderjeethMedical School, The University of Western Australia, Crawley, Western Australia.
David B PreenSchool of Population and Global Health, The University of Western Australia, Crawley, Western Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ambient temperature may alter the risk of gout flare. We assessed the association between daily maximum temperature on the immediate-to-delayed ( Methods: Data were extracted from the Western Australian Hospital Morbidity Data Collection for this time series study for metropolitan Perth (Australia) from 1980-2014, with meteorological data obtained from the Scientific Information for Land Owners dataset. We examined the association (relative risk [RR] and 95% confidence intervals [CI]) between gout flare hospitalisations, daily maximum temperature and lag days since exposure using quasi-Poisson regression and the Results: Average daily maximum temperature was 24°C (5 Conclusion: Our study shows associations between extreme temperatures, both hot and cold, and immediate-to-delayed gout flare hospitalisations. Our findings will inform and guide public health measures and health system preparedness during the impending extremes of temperature with particular attention to older people.

Indexed as

GoutHospitalizationHot TemperatureTemperatureAdolescentAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedWestern AustraliaYoung Adultage differencescold temperature/*adverse effectsenvironmental exposureepidemiologic methodsgout flarehospital datahot temperature/*adverse effectsmeteorological datarisk assessment/methodssex differencesstatistical models: Australia

Identifiers

PMID41878468
PMCPMC13007846

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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.