Evidence map›Paper›PMID 40242463›Full record

ArticleThe Lancet regional health. Western Pacific2025

Impact of rapid temperature fluctuations on acute stroke risk: a nationwide case-crossover study from 2001 to 2020.

Miku Kono, Wei-Te Wu, Chuan-Pin Lee, Yu-Yin Chang, Yao-Hsu Yang, Ching-Chun Lin, Pau-Chung Chen

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

7 authors.

Miku KonoNational Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli County, Taiwan.
Wei-Te WuNational Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli County, Taiwan.
Chuan-Pin LeeHealth Information and Epidemiology Laboratory, Chang Gung Memorial Hospital, Chiayi County, Taiwan.
Yu-Yin ChangNational Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli County, Taiwan.
Yao-Hsu YangHealth Information and Epidemiology Laboratory, Chang Gung Memorial Hospital, Chiayi County, Taiwan.
Ching-Chun LinInstitute of Environmental and Occupational Health Sciences, National Taiwan University, Taipei, Taiwan.
Pau-Chung ChenNational Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli County, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Climate factors greatly affect cardiovascular health, with stroke ranking among serious global concerns. However, the impact of rapid temperature fluctuations on stroke risk remains underexplored. Given Taiwan's aging population and the intensifying effects of climate change, understanding influence of ambient temperatures on stroke risk is crucial for public health protection. This study aimed to explore the link between ambient temperature, sudden day-to-day temperature changes, and stroke onset in Taiwan, taking air pollutants into consideration. Methods: We conducted a time-stratified case-crossover study from 2001 to 2020 using Distributed Lag Nonlinear Models (DLNM) within conditional logistic regression to examine lagged associations between temperature parameters and stroke risk. We analyzed associations separately for total stroke, ischemic stroke, and hemorrhagic stroke to identify potential differences in risk patterns, using odds ratios (ORs) relative to the temperature associated with the lowest stroke risk. Data from the National Health Insurance Research Database (NHIRD) identified the study population, including 1,100,074 first-time stroke emergency events and self-matched with 2,200,148 non-stroke onset dates as controls. The primary exposure assessments included daily temperatures (mean, maximum, and minimum) and temperature fluctuations (diurnal temperature range (DTR), sudden day-to-day temperature increases (TDI), and sudden day-to-day temperature decrease (TDD)), adjusted for air pollutants (PM Findings: Through DLNM exposure-lag-response effect analysis after adjustment for PM Interpretation: Our findings indicate that sudden day-to-day temperature increases and decreases are significant predictors of stroke onset. These results emphasize a noteworthy relationship between temperature and stroke risk over consecutive days, supporting interventions aimed at reducing stroke incidence. Funding: This research was supported by the National Science and Technology Council (NSTC), Executive Yuan, Taiwan, grant No. NSTC-111-2119-M-865-002.

Indexed as

Case-crossover studyClimate changeDay-to-day temperature changeHemorrhagic strokeIschemic strokeStroke

Identifiers

PMID40242463
PMCPMC12000751

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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.