Evidence map›Paper›PMID 32291532›Full record

ArticleInternational journal of biometeorology2020

Associations between Quasi-biennial Oscillation phase, solar wind, geomagnetic activity, and the incidence of acute myocardial infarction.

Jone Vencloviene, Ricardas Radisauskas, Vidmantas Vaiciulis, Deivydas Kiznys, Gailute Bernotiene, Daina Kranciukaite-Butylkiniene, Abdonas Tamosiunas

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Article in International journal of biometeorology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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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 at 2 institutions in 1 country.

Jone VenclovieneInstitute of Cardiology, Lithuanian University of Health Sciences, Sukileliu St. 15, LT-50103, Kaunas, Lithuania. j.vencloviene@gmf.vdu.lt.ORCID https://orcid.org/0000-0001-5881-8321
Ricardas RadisauskasInstitute of Cardiology, Lithuanian University of Health Sciences, Sukileliu St. 15, LT-50103, Kaunas, Lithuania.
Vidmantas VaiciulisDepartment of Environmental and Occupational Medicine, Lithuanian University of Health Sciences, Tilzes St. 18, LT-47181, Kaunas, Lithuania.
Deivydas KiznysDepartment of Environmental Sciences, Faculty of Natural Sciences, Vytautas Magnus University, Donelaicio St. 58, LT-44248, Kaunas, Lithuania.
Gailute BernotieneInstitute of Cardiology, Lithuanian University of Health Sciences, Sukileliu St. 15, LT-50103, Kaunas, Lithuania.
Daina Kranciukaite-ButylkinieneInstitute of Cardiology, Lithuanian University of Health Sciences, Sukileliu St. 15, LT-50103, Kaunas, Lithuania.
Abdonas TamosiunasInstitute of Cardiology, Lithuanian University of Health Sciences, Sukileliu St. 15, LT-50103, Kaunas, Lithuania.
Lithuanian University of Health Sciences · LTVytautas Magnus University · LT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An increase in the daily rate of acute myocardial infarction (AMI) has been observed during days of geomagnetic storm (GS). However, the analysis of associations between the daily number of AMI and geomagnetic activity (GMA) over longer periods sometimes yields controversial results. The study aimed to detect the complex association between the daily numbers of AMI and weather, the Quasi-biennial Oscillation (QBO) phase, GMA, and solar wind variables. We used data of Kaunas population-based Ischemic Heart Disease Register of residents of Kaunas city (Lithuania) for 2000-2012. The associations between weather and space weather variables and the daily number of AMI were evaluated by applying the multivariate Poisson regression. A higher risk of AMI was positively associated with active-stormy local GMA (rate ratio (RR) = 1.06 (95% CI 1.01-1.10)), solar wind dynamic pressure with a lag of 4 days (RR = 1.02 (1.01-1.04) per 1 nPa increase), and solar wind speed with a lag of 3-7 days (RR = 1.03 (1.01-1.05) per 100 km/s increase). A positive association was found between the west QBO phase and the risk of AMI during winter (RR = 1.08 (1.01-1.16)), and a negative association was observed between them during March-November (RR = 0.93 (0.90-0.97)). The risk of AMI positively associated with the GS due to stream interaction regions with a lag of 0-2 days during the east QBO phase (RR = 1.10, p = 0.046) and was negatively associated with them during the west QBO phase (RR = 0.82, p = 0.024). These results may help understand the population's sensitivity under different weather and space weather conditions. The QBO phase may modify the effect of GS.

Indexed as

Myocardial InfarctionSolar ActivityHumansIncidenceLithuaniaWeatherWindAcute myocardial infarctionGeomagnetic activityQuasi-biennial Oscillation phaseSolar windWeather

Identifiers

PMID32291532
OpenAlexW3015661449

What OpenQuestion holds

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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.