Evidence map›Paper›PMID 30687904›Full record

ArticleInternational journal of biometeorology2019

Using the excess heat factor to indicate heatwave-related urinary disease: a case study in Adelaide, South Australia.

Matthew Borg, Monika Nitschke, Susan Williams, Stephen McDonald, John Nairn, Peng Bi

Abstract read
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In one paragraph

Article in International journal of biometeorology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 4 pooled it
2.6field-weighted citation impact, top 12% of its field
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

18 citing papers in PubMed, 4 syntheses or guidelines pooled it, 55 citations in OpenAlex.

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  15. Adverse heat-health outcomes and critical environmental limits (Pennsylvania State University Human Environmental Age Thresholds project).American journal of human biology : the official journal of the Human Biology Council · 2023
    Review
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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 at 4 institutions in 1 country.

Matthew BorgSchool of Public Health, University of Adelaide, Adelaide, SA, 5005, Australia.
Monika NitschkeSA Health, Government of South Australia, Adelaide, South Australia, Australia.
Susan WilliamsSchool of Public Health, University of Adelaide, Adelaide, SA, 5005, Australia.
Stephen McDonaldThe Central Northern Renal and Transplantation Service, Royal Adelaide Hospital, Adelaide, South Australia, Australia.
John NairnSouth Australian State Office, Bureau of Meteorology, Adelaide, South Australia, Australia.
Peng BiSchool of Public Health, University of Adelaide, Adelaide, SA, 5005, Australia. peng.bi@adelaide.edu.au.ORCID http://orcid.org/0000-0002-3238-3427
The University of Adelaide · AUBureau of Meteorology · AUGovernment of South Australia · AURoyal Adelaide Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The excess heat factor (EHF) is being adopted nationally for heatwave forecasting in Australia, but there is limited research utilizing it as a predictor for heat-related morbidity from diseases of the urinary system (urinary diseases). In this study, the incidence of eight temperature-prone specific urinary disease categories was analyzed in relation to the EHF. Daily data for maximum and minimum temperature and data for metropolitan hospital emergency department presentations and inpatient admissions for urinary disease were acquired in Adelaide, South Australia, from 1 July 2003 to 31 March 2014. An increased incidence for urolithiasis, acute kidney injury (AKI), chronic kidney disease, and lower urinary tract infections was associated with the EHF. Using the Australian national heatwave definition with the EHF, emergency department presentations increased on heatwave days compared to non-heatwave days for total urinary disease (IRR 1.046, 95% CI 1.016-1.076), urolithiasis (IRR 1.106, 95% 1.046-1.169), and acute kidney injury (AKI) (IRR 1.416, 95% CI 1.258-1.594). Likewise, inpatient admissions increased for total urinary disease (IRR 1.090, 95% CI 1.048-1.133) and AKI (IRR 1.335, 95% CI 1.204-1.480). The EHF is a reliable metric for predicting heat-induced morbidity from urinary disease. Climate change-related elevations in temperature can increase morbidity from urinary disease, especially AKI and urolithiasis. Diseases of the urinary system should be highlighted when providing public health guidance during heatwaves indicated by the EHF.

Indexed as

Infrared RaysAgedClimate ChangeEmergency Service, HospitalFemaleHospitalizationHot TemperatureHumansIncidenceMaleSouth AustraliaUrologic DiseasesClimate changeDiseases of the urinary systemExcess heat factorHeatHeatwaves

Identifiers

PMID30687904
OpenAlexW2914901542

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.