Evidence map›Paper›PMID 35756888›Full record

ArticleThe Lancet regional health. Western Pacific2022

Mortality burden attributable to high and low ambient temperatures in China and its provinces: Results from the Global Burden of Disease Study 2019.

Jiangmei Liu, Tao Liu, Katrin G Burkart, Haidong Wang, Guanhao He, Jianxiong Hu, Jianpeng Xiao, Peng Yin, Lijun Wang, Xiaofeng Liang and 5 more

Abstract 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. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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  8. Combined effects of apparent low temperature and PMFrontiers in public health · 2026
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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

15 authors.

Jiangmei LiuThe National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention.
Tao LiuDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China.
Katrin G BurkartInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Haidong WangInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Guanhao HeGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China.
Jianxiong HuGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China.
Jianpeng XiaoGuangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China.
Peng YinThe National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention.
Lijun WangThe National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention.
Xiaofeng LiangDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China.
Fangfang ZengDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China.
Jeffrey D StanawayInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Michael BrauerInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.
Wenjun MaDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China.
Maigeng ZhouThe National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Non-optimal temperatures are associated with mortality risk, yet the heterogeneity of temperature-attributable mortality burden across subnational regions in a country was rarely investigated. We estimated the mortality burden related to non-optimal temperatures across all provinces in China in 2019. Methods: The global daily temperature data were obtained from the ERA5 reanalysis dataset. The daily mortality data and exposure-response curves between daily temperature and mortality for 176 individual causes of death were obtained from the Global Burden of Disease Study 2019 (GBD 2019). We estimated the population attributable fraction (PAF) based on the exposure-response curves, daily gridded temperature, and population. We calculated the cause- and province-specific mortality burden based on PAF and disease burden data from the GBD 2019. Findings: We estimated that 593·9 (95% UI:498·8, 704·6) thousand deaths were attributable to non-optimal temperatures in China in 2019 (PAF=5·58% [4·93%, 6·28%]), with 580·8 (485·7, 690·1) thousand cold-related deaths and 13·9 (7·7, 23·2) thousand heat-related deaths. The majority of temperature-related deaths were from cardiovascular diseases (399·7 [322·8, 490·4] thousand) and chronic respiratory diseases (177·4 [141·4, 222·3] thousand). The mortality burdens were observed significantly spatial heterogeneity for both high and low temperatures. For instance, the age-standardized death rates (per 100 000) attributable to low temperature were higher in Western China, with the highest in Tibet (113·7 [82·0, 155·5]), while for high temperature, they were greater in Xinjiang (1·8 [0·7, 3·3]) and Central-Southern China such as Hainan (2·5 [0·9, 5·4]). We also observed considerable geographical variation in the temperature-related mortality burden by causes of death at provincial level. Interpretation: A substantial mortality burden was attributable to non-optimal temperatures across China, and cold effects dominated the total mortality burden in all provinces. Both cold- and heat-related mortality burden showed significantly spatial variations across China. Funding: National Key Research and Development Program.

Indexed as

ChinaMortality BurdenNon-optimal temperatures

Identifiers

PMID35756888
PMCPMC9213765

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Registered trials

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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.