Evidence map›Paper›PMID 37610263›Full record

ArticleEnvironmental health perspectives2023

Cold Spells and the Onset of Acute Myocardial Infarction: A Nationwide Case-Crossover Study in 323 Chinese Cities.

Yixuan Jiang, Shaodong Yi, Chuanyu Gao, Yuguo Chen, Jiyan Chen, Xianghua Fu, Lixia Yang, Xiangqing Kong, Mao Chen, Haidong Kan and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.2field-weighted citation impact, top 3% of its field
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

15 citing papers in PubMed, 33 citations in OpenAlex.

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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

13 authors at 10 institutions in 1 country.

Yixuan JiangSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission Key Lab of Health Technology Assessment, Fudan University, Shanghai, China.
Shaodong YiDepartment of Cardiology, General Hospital of Southern Theater Command of People's Liberation Army (PLA), Guangzhou, China.
Chuanyu GaoDepartment of Cardiology, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Fuwai Central China Cardiovascular Hospital, Zhengzhou, China.
Yuguo ChenDepartment of Emergency and Chest Pain Center, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Jiyan ChenDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Xianghua FuDepartment of Cardiology, Second Hospital of Hebei Medical University, Shijiazhuang, China.
Lixia YangDepartment of Cardiology, 920th Hospital of Joint Logistics Support Force of the Chinese PLA, Yunnan, China.
Xiangqing KongDepartment of Cardiology, First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Mao ChenDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, China.
Haidong KanSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission Key Lab of Health Technology Assessment, Fudan University, Shanghai, China.
Dingcheng XiangDepartment of Cardiology, General Hospital of Southern Theater Command of People's Liberation Army (PLA), Guangzhou, China.
Xi SuDepartment of Cardiology, Wuhan Asia General Hospital, Wuhan, China.
Renjie ChenSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education and National Health Commission Key Lab of Health Technology Assessment, Fudan University, Shanghai, China.ORCID 0000-0002-9448-0820
Fudan University · CNGeneral Hospital of Guangzhou Military Command · CN82th Hospital of Pla · CNGuangdong Academy of Medical Sciences · CNHebei Medical University · CNNanjing Medical University · CNQilu Hospital of Shandong University · CNSichuan University · CNWuhan General Hospital of Guangzhou · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFew studies have explored the relationships between cold spells and acute myocardial infarction (AMI) using the information of symptom onset.

objectivesWe assessed the impact of cold spells on AMI onset and the potential effect modifiers.

methodsWe conducted a time-stratified case-crossover study among 456,051 eligible patients with AMI from 2,054 hospitals in 323 Chinese cities between January 2015 and June 2021 during cold seasons (November to March). Nine definitions of cold spells were used by combining three relative temperature thresholds (i.e., lower than the 7.5th, 5th, and 2.5th percentiles) and three durations of at least 2-4 consecutive d. Conditional logistic regressions with distributed lag models were applied to evaluate the cumulated effects of cold spells on AMI onset over lags 0-6 d, after adjusting for daily mean temperature.

resultsThe associations generally appeared on lag 1 d, peaked on lag 3 d, and became nonsignificant approximately on lag 5 d. Cold spells defined by more stringent thresholds of temperature were associated with higher risks of AMI onset. For cold spell days defined by a daily mean temperature of DISCUSSION: This national case-crossover study presents compelling evidence that cold spells could significantly increase the risk of AMI onset. https://doi.org/10.1289/EHP11841.

Indexed as

Cold TemperatureMyocardial InfarctionCitiesCross-Over StudiesHumansTemperature

Identifiers

PMID37610263
PMCPMC10445528
OpenAlexW4386085040

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.