Evidence map›Paper›PMID 41767256›Full record

ArticleiScience2026

Projected cardiovascular mortality attributable to extreme temperatures under climate scenarios in Taiyuan, China.

Yifei Chen, Lin Ma, Chaomin Ren, Xiaojuan Yang, Lifang Zhao, Rui Li, Shuai Guo, Na Cao, Ren Li, Junming Li and 1 more

Abstract read
In one paragraph

Article in iScience, 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

11 authors.

Yifei ChenSchool of Public Health, Shanxi Medical University, Taiyuan, Shanxi 030001, China.
Lin MaShanxi Center for Disease Control and Prevention, Taiyuan 030001, China.
Chaomin RenSchool of Public Health, Shanxi Medical University, Taiyuan, Shanxi 030001, China.
Xiaojuan YangShanxi Center for Disease Control and Prevention, Taiyuan 030001, China.
Lifang ZhaoSchool of Public Health, Shanxi Medical University, Taiyuan, Shanxi 030001, China.
Rui LiSchool of Public Health, Shanxi Medical University, Taiyuan, Shanxi 030001, China.
Shuai GuoSchool of Public Health, Shanxi Medical University, Taiyuan, Shanxi 030001, China.
Na CaoSchool of Public Health, Shanxi Medical University, Taiyuan, Shanxi 030001, China.
Ren LiSchool of Public Health, Shanxi Medical University, Taiyuan, Shanxi 030001, China.
Junming LiSchool of Statistics, Shanxi University of Finance and Economics, Taiyuan, Shanxi 030006, China.
Zhihong ZhangSchool of Public Health, Shanxi Medical University, Taiyuan, Shanxi 030001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease (CVD) is a serious public health challenge in China, and the increasingly frequent extreme temperature events have brought new health threats to it. This study assessed the future burden of cardiovascular disease (CVD) mortality attributable to extreme temperatures (heat and cold waves) in Taiyuan under climate change. The analysis used historical mortality data (2013-2020) with distributed lag non-linear and generalized additive models (DLNMs/GAMs), integrated with future CMIP6 climate and population scenarios. Heatwaves exert immediate effects, disproportionately affecting women and the elderly, while cold wave impacts are delayed and more severe for men. Projections for the 2050s show heat-related mortality under SSP5-8.5 could be 2.7 times that under SSP1-2.6. The implementation of adaptation measures can significantly mitigate the risks and impacts of extreme temperatures. This study provides a scientific basis for climate-resilient health policies, with crucial implications for protecting population health.

Indexed as

Biological sciencescardiovascular medicinedata analysis

Identifiers

PMID41767256
PMCPMC12936942

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.