Evidence map›Paper›PMID 36105236›Full record

ArticleThe Lancet regional health. Western Pacific2022

Projections of heatwave-attributable mortality under climate change and future population scenarios in China.

Huiqi Chen, Liang Zhao, Liangliang Cheng, Yali Zhang, Huibin Wang, Kuiying Gu, Junzhe Bao, Jun Yang, Zhao Liu, Jianbin Huang and 9 more

Registry-linked trialAbstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07124949 (Chinese Migrant Population Health Cohort), which is not on this map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
–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.

NCT07124949 recruitingnot on this mapstarted 2025, after this paper: background citation

Chinese Migrant Population Health Cohort

TypeobservationalSponsorJinwei TianRan2025 to 2030Enrolled26,000ConditionsCardiovascular Diseases, Metabolic Disorders, Ageing and Geriatric Health, Climate AdaptationArmsNo intervention
3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

19 authors.

Huiqi ChenVanke School of Public Health, Tsinghua University, Beijing, China.
Liang ZhaoThe State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.
Liangliang ChengVanke School of Public Health, Tsinghua University, Beijing, China.
Yali ZhangSchool of Public Health, Sun Yat-sen University, Guangzhou, China.
Huibin WangSchool of Public Health, Sun Yat-sen University, Guangzhou, China.
Kuiying GuVanke School of Public Health, Tsinghua University, Beijing, China.
Junzhe BaoSchool of Public Health, Zhengzhou University, Zhengzhou, China.
Jun YangSchool of Public Health, Guangzhou Medical University, Guangzhou, China.
Zhao LiuSchool of Linkong Economics and Management, Beijing Institute of Economics and Management, Beijing, China.
Jianbin HuangDepartment of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China.
Yidan ChenState Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), School of Environment, Tsinghua University, Beijing, China.
Xuejie GaoCollege of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, China.
Ying XuNational Climate Center, China Meteorological Administration, Beijing, China.
Can WangState Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), School of Environment, Tsinghua University, Beijing, China.
Wenjia CaiDepartment of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China.
Peng GongDepartment of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China.
Yong LuoDepartment of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, China.
Wannian LiangVanke School of Public Health, Tsinghua University, Beijing, China.
Cunrui HuangVanke School of Public Health, Tsinghua University, Beijing, China.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: In China, most previous projections of heat-related mortality have been based on modeling studies using global climate models (GCMs), which can help to elucidate the risks of extreme heat events in a changing climate. However, spatiotemporal changes in the health effects of climate change considering specific regional characteristics remain poorly understood. We aimed to use credible climate and population projections to estimate future heatwave-attributable deaths under different emission scenarios and to explore the drivers underlying these patterns of changes. Methods: We derived climate data from a regional climate model driven by three CMIP5 GCM models and calculated future heatwaves in China under Representative Concentration Pathway (RCP) 2.6, RCP4.5, and RCP8.5. The future gridded population data were based on Shared Socioeconomic Pathway 2 assumption with different fertility rates. By applying climate zone-specific exposure-response functions to mortality during heatwave events, we projected the scale of heatwave-attributable deaths under each RCP scenario. We further analyzed the factors driving changes in heatwave-related deaths and main sources of uncertainty using a decomposition method. We compared differences in death burden under the 1.5°C target, which is closely related to achieving carbon neutrality by mid-century. Findings: The number of heatwave-related deaths will increase continuously to the mid-century even under RCP2.6 and RCP4.5 scenarios, and will continue increasing throughout the century under RCP8.5. There will be 20,303 deaths caused by heatwaves in 2090 under RCP2.6, 35,025 under RCP4.5, and 72,260 under RCP8.5, with half of all heatwave-related deaths in any scenario concentrated in east and central China. Climate effects are the main driver for the increase in attributable deaths in the near future till 2060, explaining 78% of the total change. Subsequent population decline cannot offset the losses caused by higher incidence of heatwaves and an aging population under RCP8.5. Although health loss under the 1.5°C warming scenario is 1.6-fold higher than the baseline period 1986-2005, limiting the temperature rise to 1.5°C can reduce the annual mortality burden in China by 3,534 deaths in 2090 compared with RCP2.6 scenarios. Interpretation: With accelerating climate change and population aging, the effects of future heatwaves on human health in China are likely to increase continuously even under a low emission scenario. Significant health benefits are expected if the optimistic 1.5°C goal is achieved, suggesting that carbon neutrality by mid-century is a critical target for China's sustainable development. Policymakers need to tighten climate mitigation policies tailored to local conditions while enhancing climate resilience technically and infrastructurally, especially for vulnerable elderly people. Funding: National Key R&D Program of China (2018YFA0606200), Wellcome Trust (209734/Z/17/Z), Natural Science Foundation of China (41790471), and Guangdong Major Project of Basic and Applied Basic Research (2020B0301030004).

Indexed as

Attributable deathChinaClimate changeHeatwaveProjection

Identifiers

PMID36105236
PMCPMC9465423

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Registered trials

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.