Evidence map›Paper›PMID 42852343›Full record

ArticleEnvironmental health perspectives2026

Mapping the Burden of Ischemic Stroke Attributable to Temperature Variation under Climate Change Scenarios Accounting for Long-Term Adaptation.

Zhaoyang Pan, Hailu Zhu, Xuewei Xie, Linhong Pang, Zijun Li, Jian Guo, Xia Meng, Yong Jiang, Xin Yang, Jing Zhang and 7 more

Abstract read
In one paragraph

Article in Environmental health perspectives, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Zhaoyang PanSchool of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.ORCID https://orcid.org/0000-0003-2315-7679
Hailu ZhuSchool of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.ORCID https://orcid.org/0009-0009-8066-0175
Xuewei XieChina National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China.
Linhong PangSchool of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.ORCID https://orcid.org/0000-0002-3038-3685
Zijun LiSchool of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.ORCID https://orcid.org/0000-0002-2979-9747
Jian GuoState Key Laboratory of Complex Severe and Rare Diseases, Beijing 100730, China.
Xia MengChina National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China.
Yong JiangChina National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China.
Xin YangChina National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China.
Jing ZhangChina National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China.
Xingquan ZhaoChina National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China.
Liping LiuChina National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China.
Yilong WangVascular Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China.
Zixiao LiChina National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China.
Zhenzhen RaoDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China.
Tianjia GuanSchool of Health Policy and Management, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
Yongjun WangChina National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the intensification of climate change, temperature variability (TV), a critical climatic dimension, is projected to increase. As a climate-sensitive disease, ischemic stroke may be affected by temperature variability; however, the evidence on the ischemic stroke burdens of short-term temperature variability in a changing climate remains unknown, especially accounting for long-term exposure adaptation. Based on a nationally representative, multicenter data set of over 1.6 million individual-level, hourly data on ischemic stroke onset from 2015 to 2022, we adopted a case-crossover study design to evaluate the association between short-term exposure to TV and ischemic stroke onset using conditional logistic regression. Furthermore, we took the long-term TV adaptation into account to derive the modified nonlinear exposure-response function and evaluated the ischemic stroke burden under different climate change scenarios. Short-term exposure to TV was positively associated with the risk of ischemic stroke onset, and long-term TV significantly modified the effects with populations living in regions of persistently high TV being more vulnerable. The ischemic stroke cases attributable to TV have more than doubled from 2000 to 2020. Under the high-emission scenario (SSP5-8.5), the attributable fraction of ischemic stroke is projected to increase substantially (19-58%) by the end of the century, particularly in vulnerable regions such as Southwest and South China. These findings demonstrate that individuals have limited adaptive capacity to temperature variability. Incorporating temperature variability into climate-health risk assessments, public health preparedness, and mitigation strategies will be essential to safeguard populations in an increasingly unstable climate system.

Indexed as

Climate ChangeIschemic StrokeTemperatureHumans

Identifiers

PMID42852343
PMCPMC13648083

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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.