Evidence map›Paper›PMID 37867620›Full record

ArticleThe Lancet regional health. Western Pacific2023

Projection of high temperature-related burden of kidney disease in Australia under different climate change, population and adaptation scenarios: population-based study.

Jingwen Liu, Blesson M Varghese, Alana Hansen, Keith Dear, Geoffrey Morgan, Timothy Driscoll, Ying Zhang, Michelle Gourley, Anthony Capon, Peng Bi

Open access · goldAbstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
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  6. Lethal Heat and Humidity Events.Annual review of environment and resources · 2025
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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

10 authors at 4 institutions in 1 country.

Jingwen LiuSchool of Public Health, The University of Adelaide, Australia.
Blesson M VargheseSchool of Public Health, The University of Adelaide, Australia.
Alana HansenSchool of Public Health, The University of Adelaide, Australia.
Keith DearSchool of Public Health, The University of Adelaide, Australia.
Geoffrey MorganSydney School of Public Health, The University of Sydney, Australia.
Timothy DriscollSydney School of Public Health, The University of Sydney, Australia.
Ying ZhangSydney School of Public Health, The University of Sydney, Australia.
Michelle GourleyBurden of Disease and Mortality Unit, Australian Institute of Health and Welfare, Australia.
Anthony CaponMonash Sustainable Development Institute, Monash University, Australia.
Peng BiSchool of Public Health, The University of Adelaide, Australia.
The University of Adelaide · AUThe University of Sydney · AUAustralian Institute of Health and Welfare · AUMonash University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The dual impacts of a warming climate and population ageing lead to an increasing kidney disease prevalence, highlighting the importance of quantifying the burden of kidney disease (BoKD) attributable to high temperature, yet studies on this subject are limited. The study aims to quantify the BoKD attributable to high temperatures in Australia across all states and territories, and project future BoKD under climatic, population and adaptation scenarios. Methods: Data on disability-adjusted-life-years (DALYs) due to kidney disease, including years of life lost (YLL), and years lived with disability (YLD), were collected during 2003-2018 (baseline) across all states and territories in Australia. The temperature-response association was estimated using a meta-regression model. Future temperature projections were calculated using eight downscaled climate models to estimate changes in attributable BoKD centred around 2030s and 2050s, under two greenhouse gas emissions scenarios (RCP4.5 and RCP8.5), while considering changes in population size and age structure, and human adaptation to climate change. Findings: Over the baseline (2003-2018), high-temperature contributed to 2.7% (Standard Deviation: 0.4%) of the observed BoKD in Australia. The future population attributable fraction and the attributable BoKD, projected using RCP4.5 and RCP8.5, showed a gradually increasing trend when assuming no human adaptation. Future projections were most strongly influenced by the population change, with the high temperature-related BoKD increasing by 18.4-67.4% compared to the baseline under constant population and by 100.2-291.2% when accounting for changes in population size and age structure. However, when human adaptation was adopted (from no to partial to full), the high temperature-related BoKD became smaller. Interpretation: It is expected that increasing high temperature exposure will substantially contribute to higher BoKD across Australia, underscoring the urgent need for public health interventions to mitigate the negative health impacts of a warming climate on BoKD. Funding: Australian Research Council Discovery Program.

Indexed as

Attributable riskBurden of diseaseClimate changeHigh temperatureKidney disease

Identifiers

PMID37867620
PMCPMC10587708
OpenAlexW4387685809

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.