Evidence map›Paper›PMID 41491718›Full record

ArticleBMC medicine2026

Association between long-term extreme high temperature and mortality: a 9-million prospective cohort study.

Bo Yin, Qi Huang, Yujuan Yuan, Wen Fang, Wenxin Xiang, Limei Ke, Linfeng Liu, Guoqing Feng, Yanjun Li, Shouyi Yan and 6 more

Abstract read
In one paragraph

Article in BMC medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

16 authors.

Bo Yin *School of Medicine, Tsinghua University, Beijing, 100084, China.
Qi Huang *Vanke School of Public Health, Tsinghua University, Beijing, 100084, China.
Yujuan Yuan *Department of Cardiology, People's Hospital of Xinjiang Uyghur Autonomous Region, Urumqi, 830000, China.
Wen FangCollege of Sports Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China.
Wenxin XiangSchool of Medicine, Tsinghua University, Beijing, 100084, China.
Limei KeSchool of Medicine, Tsinghua University, Beijing, 100084, China.
Linfeng LiuSchool of Medicine, Tsinghua University, Beijing, 100084, China.
Guoqing FengSchool of Medicine, Tsinghua University, Beijing, 100084, China.
Yanjun LiVanke School of Public Health, Tsinghua University, Beijing, 100084, China.
Shouyi YanVanke School of Public Health, Tsinghua University, Beijing, 100084, China.
Xusheng DuVanke School of Public Health, Tsinghua University, Beijing, 100084, China.
Yanying GuoPeople's Hospital of Xinjiang Uyghur Autonomous Region, Urumqi, 830000, China.
Yuqing YangPeople's Hospital of Xinjiang Uyghur Autonomous Region, Urumqi, 830000, China.
Qian DiVanke School of Public Health, Tsinghua University, Beijing, 100084, China. qiandi@tsinghua.edu.cn.
Yining YangDepartment of Cardiology, People's Hospital of Xinjiang Uyghur Autonomous Region, Urumqi, 830000, China. yangyn5126@163.com.
Kuiying GuSchool of Public Health, Soochow University, Suzhou, 215006, China. queeninggu@163.com.

Funding

National Natural Science Foundation of China 42277419National Natural Science Foundation of China 82260073the Tianshan Talent Cultivation Program Project of Xinjiang Uygur Autonomous Region 2022TSYCLJ0028
6 · The paper itself

Abstract

backgroundClimate change has led to the increasing frequency of extreme high temperature events. However, few attentions have been paid to effective protective measures to mitigate the negative impacts of extreme high temperature. This study aimed to explore the relationship between long-term exposure to extreme high temperature and mortality, as well as effective protective measures.

methodsWe established a large cohort using medical and general health checks data from nearly 10 million people in Northwestern China between 2019 and 2023. We defined three distinct long-term extreme high temperature indicators based on the 99th percentile threshold of individual temperatures over the past 10 years: extreme high temperature durations (EHTD), extreme high temperature frequency (EHTF), and extreme high temperature severity (EHTS). A proportional hazards model was employed to explore the relationship between extreme high temperature and mortality, as well as to investigate the protective role of general health checks.

resultsFor each unit increase in the EHTD, EHTF, and EHTS, the hazard ratio for mortality risk was 1.0022 (95% CI, 1.0020-1.0025), 1.0148 (95% CI, 1.0137-1.0159), and 1.0036 (95% CI, 1.0036, 1.0024-1.0048), respectively. However, when extreme high temperature was defined based on regional thresholds (county or city level) rather than individual thresholds (street level), there were no significant associations. Finally, we observed that general health checks' participants had a lower mortality risk from extreme high temperature exposure compared to non-participants.

conclusionsOur study provided new evidence for assessing the adverse health effects of extreme high temperature. Moreover, this study highlighted that general health checks can effectively mitigate the negative health impacts of extreme high temperature.

Indexed as

Extreme HeatMortalityAdultAgedChinaClimate ChangeFemaleHumansMaleMiddle AgedProspective StudiesExtreme high temperatureGeneral health checksInterventionMortality

Identifiers

PMID41491718
PMCPMC12870258

What OpenQuestion holds

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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.