Evidence map›Paper›PMID 39627249›Full record

ArticleScientific reports2024

The effects of temperature variability on ischemic heart disease mortality in Hangzhou, China.

Zhe Mo, Manjin Xu, Yunfeng Xu, Luyang He, Huixia Niu, Feiyun Zhu, Xu Cao, Lizhi Wu, Xueqing Li, Gaofeng Cai

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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. Exploratory thresholds for ambient PMBMC public health · 2026
    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

10 authors.

Zhe Mo *Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang Province, China.
Manjin Xu *Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang Province, China.
Yunfeng Xu *Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang Province, China.
Luyang HeZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang Province, China.
Huixia NiuZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang Province, China.
Feiyun ZhuZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang Province, China.
Xu CaoZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang Province, China.
Lizhi WuZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang Province, China.
Xueqing LiZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang Province, China.
Gaofeng CaiZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang Province, China. gfcai@cdc.zj.cn.

Funding

the National Natural Science Foundation of China 81773468the National Natural Science Foundation of China 82273749the Natural Science Foundation of Zhejiang Province, China LTGY23H240001the Opening Foundation of NHC Key Laboratory of Etiology and Epidemiology (Harbin Medical University) NHCKLEE20230908
6 · The paper itself

Abstract

Ischemic heart disease (IHD) is a leading cause of death in cardiovascular patients. In China, the disease burden of IHD deaths has significantly increased. One of the main influencing factors of IHD is changing climates, and temperature and diurnal temperature range (DTR) are important indicators of climate change. In this study, we aimed to assess the associations of temperature variability on IHD mortality in a fast developing city Hangzhou,China. We obtained daily IHD mortality data and meteorological data from mortality surveillance system from 2014 to 2016. Quasi-Poisson generalized linear regression with a distributed lag non-linear model (DLNM) was applied to estimate the associations between temperature variability and IHD deaths. Potential confounders were controlled in the analysis, including relative humidity, day of the week, public holidays, and long-term trends. A total of 7423 IHD mortality data were included in this study. A J-shaped pattern of DTR and a reversely J-shaped pattern of temperature for IHD mortality were observed. Risk estimates showed that the relative risks (RRs) of IHD mortality with extreme high DTR at lag 0-7 days were 1.309 (95% CI: 0.985, 1.740) while RRs of IHD mortality with extreme low DTR at lag 0-2 days were 1.234 (95% CI: 1.043, 1.460). For extreme hot temperature, the highest RRs at lag 0-2 days were 1.559 (95% CI: 1.250, 1.943); for extremely cold temperatures, the RRs increased from 1.049 (95% CI: 0.930, 1.183) to 2.089 (95% CI: 1.854, 2.352). In Hangzhou city, short-term exposure to extreme temperature was associated with mortality for IHD. These findings have implications for policy decision-making and targeted interventions.

Indexed as

Myocardial IschemiaTemperatureAgedChinaClimate ChangeFemaleHumansMaleMiddle AgedRisk FactorsDistributed lag non-linear modelIschemic heart diseaseMortalityTemperature

Identifiers

PMID39627249
PMCPMC11615219

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.