Evidence map›Paper›PMID 31950372›Full record

ArticleEuropean journal of epidemiology2020

Short-term exposure to desert dust and the risk of acute myocardial infarction in Japan: a time-stratified case-crossover study.

Masanobu Ishii, Tomotsugu Seki, Koichi Kaikita, Kenji Sakamoto, Michikazu Nakai, Yoko Sumita, Kunihiro Nishimura, Yoshihiro Miyamoto, Teruo Noguchi, Satoshi Yasuda and 7 more

Abstract read
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In one paragraph

Article in European journal of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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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

17 authors at 5 institutions in 1 country.

Masanobu IshiiGraduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Tomotsugu SekiDepartment of Pharmacoepidemiology, Graduate School of Medical and Public Health, Kyoto University, Yoshida, Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.
Koichi KaikitaGraduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Kenji SakamotoGraduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Michikazu NakaiNational Cerebral and Cardiovascular Center, Suita, Japan.
Yoko SumitaNational Cerebral and Cardiovascular Center, Suita, Japan.
Kunihiro NishimuraNational Cerebral and Cardiovascular Center, Suita, Japan.
Yoshihiro MiyamotoNational Cerebral and Cardiovascular Center, Suita, Japan.
Teruo NoguchiNational Cerebral and Cardiovascular Center, Suita, Japan.
Satoshi YasudaNational Cerebral and Cardiovascular Center, Suita, Japan.
Hiroyuki TsutsuiFaculty of Medical Sciences, Kyusyu University, Fukuoka, Japan.
Issei KomuroGraduate School of Medicine and Faculty of Medicine, University of Tokyo, Tokyo, Japan.
Yoshihiko SaitoSchool of Medicine, Nara Medical University, Kashihara, Japan.
Hisao OgawaNational Cerebral and Cardiovascular Center, Suita, Japan.
Kenichi TsujitaGraduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Koji KawakamiDepartment of Pharmacoepidemiology, Graduate School of Medical and Public Health, Kyoto University, Yoshida, Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan. kawakami.koji.4e@kyoto-u.ac.jp.
JROAD Investigators
National Cerebral and Cardiovascular Center · JPKyoto University · JPKumamoto University · JPKyushu University · JPNara Medical University · JP

Funding

Japan Society for the Promotion of Science JP19K17531
6 · The paper itself

Abstract

Particulate matter from natural sources such as desert dust causes harmful effects for health. Asian dust (AD) increases the risk of acute myocardial infarction (AMI). However, little is known about the risk of myocardial infarction with nonobstructive coronary arteries (MINOCA), compared to myocardial infarction with coronary artery disease (MI-CAD). Using a time-stratified case-crossover design and conditional logistic regression models, the association between short-term exposure to AD whereby decreased visibility (< 10 km) observed at each monitoring station nearest to the hospitals was used for exposure measurements and admission for AMI in the spring was investigated using a nationwide administrative database between April 2012 and March 2016. According to presence of revascularization and coronary atherosclerosis, AMI patients (n = 30,435) were divided into 2 subtypes: MI-CAD (n = 27,202) or MINOCA (n = 3233). The single lag day-2 was used in AD exposure based on the lag effect analysis. The average level of meteorological variables and co-pollutants on the 3 days prior to the case/control days were used as covariates. The occurrence of AD events 2 days before the admission was associated with admission for MINOCA after adjustment for meteorological variables [odds ratio 1.65; 95% confidence interval (CI) 1.18-2.29], while the association was not observed in MI-CAD. The absolute risk difference of MINOCA admission was 1.79 (95% CI 1.21-2.38) per 100,000 person-year. These associations between AD exposure and the admission for MINOCA remained unchanged in two-pollutant models. This study provides evidence that short-term exposure to AD is associated with a higher risk of MINOCA, but not MI-CAD.

Indexed as

DustAdultAgedAir PollutionArterial Occlusive DiseasesCoronary Artery DiseaseCross-Over StudiesDesert ClimateEnvironmental ExposureHospitalizationHumansJapanMiddle AgedMyocardial InfarctionParticulate MatterRisk FactorsDustParticulate MatterAcute myocardial infarctionAir pollutionCardiovascular diseaseDesert dustEnvironmental factors

Identifiers

PMID31950372
OpenAlexW2999929085

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.