Evidence map›Paper›PMID 39334078›Full record

Observational studyBMC public health2024

Relationship between temperature and acute myocardial infarction: a time series study in Xuzhou, China, from 2018 to 2020.

Hao Miao, Wei Bao, Peian Lou, Peipei Chen, Pan Zhang, Guiqiu Chang, Xiaoqin Hu, Xinliang Zhao, Shuo Huang, Yu Yang and 3 more

Abstract readObservational Study
In one paragraph

Observational study in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Stress and Acute Coronary Syndrome.Cardiology research · 2025
    Review
  7. Article
  8. 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

13 authors.

Hao Miao *Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Wei Bao *Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Peian LouDepartment of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, Xuzhou, China.
Peipei ChenDepartment of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, Xuzhou, China.
Pan ZhangDepartment of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, Xuzhou, China.
Guiqiu ChangDepartment of Control and Prevention of Chronic Non-communicable Diseases, Xuzhou Center for Disease Control and Prevention, Xuzhou, China.
Xiaoqin HuDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Xinliang ZhaoDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Shuo HuangDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Yu YangDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Zhirong WangDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Minglong ChenDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Chengzong LiDepartment of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China. chengzong2008@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is widely known that the incidence rate and short-term mortality of acute myocardial infarctions (AMIs) are generally higher during the winter months. The goal of this study was to determine how the temperature of the environment influences fatal acute myocardial infarctions in Xuzhou.

methodsThis observational study used the daily meteorological data and the data on the cause of death from acute myocardial infarction in Xuzhou from January 1, 2018, to December 31, 2020. After controlling meteorological variables and pollutants, the distributed nonlinear lag model (DLNM) was used to estimate the correlation between temperature and lethal AMI.

resultsA total of 27,712 patients with fatal AMI were enrolled. 82.4% were over the age of 65, and 50.9% were men. Relative to the reference temperature (15 ℃), the 30-day cumulative RRs of the extremely cold temperature (- 2 ℃) for the general population, women, and people aged 65 years and above were 4.66 (95% CI: 1.76, 12.30), 15.29 (95% CI: 3.94, 59.36), and 7.13 (95% CI: 2.50, 20.35), respectively. The 30-day cumulative RRs of the cold temperature (2 ℃) for the general population, women, and people aged 65 years and above were 2.55 (1.37, 4.75), 12.78 (2.24, 5.36), and 3.15 (1.61, 6.16), respectively. No statistically significant association was observed between high temperatures and the risk of fatal AMI. The influence of the cold effect (1st and 10th) was at its peak on that day, and the entire cold effect persisted for 30 days. Temperature extremes had an effect on the lag patterns of distinct age and gender stratifications.

conclusionAccording to this study, the risk of fatal AMI increases significantly in cold weather but not in hot weather. Women above the age of 65 are particularly sensitive to severe weather events. The influence of frigid weather on public health should also be considered.

Indexed as

Myocardial InfarctionTemperatureAgedAged, 80 and overChinaCold TemperatureFemaleHumansMaleMiddle AgedRisk FactorsSeasonsAcute myocardial infarctionDaily average temperatureExtreme temperatureGeneralized additive modelXuzhou

Identifiers

PMID39334078
PMCPMC11437649

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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.