Evidence map›Paper›PMID 31015485›Full record

ArticleScientific reports2019

Complex effects of atmospheric parameters on acute cardiovascular diseases and major cardiovascular risk factors: data from the Cardiometeorology

Nora Boussoussou, Melinda Boussoussou, Gergő Merész, Márton Rakovics, László Entz, Attila Nemes

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Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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

6 citing papers in PubMed.

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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

6 authors.

Nora BoussoussouSemmelweis University, Department of Vascular Surgery, 68. Városmajor street, Budapest, 1122, Hungary. nora.b.md@gmail.com.
Melinda BoussoussouSemmelweis University, Department of Vascular Surgery, 68. Városmajor street, Budapest, 1122, Hungary.
Gergő MerészSemmelweis University, Department of Behavioural Sciences, Budapest, Hungary.
Márton RakovicsEötvös Loránd University, Department of Statistics, Budapest, Hungary.
László EntzSemmelweis University, Department of Vascular Surgery, 68. Városmajor street, Budapest, 1122, Hungary.
Attila NemesSemmelweis University, Department of Vascular Surgery, 68. Városmajor street, Budapest, 1122, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several studies have examined the cardiovascular effects of atmospheric parameters as separate factors; however, few have investigated atmospheric parameters' joint effects. We aim to explore the joint effects of atmospheric parameters on acute cardiovascular diseases (ACVDs) and on major cardiovascular risk factors (CRFs). We correlated all ACVD admissions with major CRFs and local atmospheric conditions during a 5-year study period. A seasonal variation was detected in a higher incidence rate during cold atmospheric conditions. There were significant incidence relative ratios, including: 1.140 (95% CI [1.020, 1.283]) for daily temperature change (≥5 °C); 0.991 (95% CI [0.988, 0.994]) for average daily temperature; and 1.290 (95% CI [1.090, 1.599]) for the interaction of daily temperature change (≥5 °C) with humidity change (≥40%). We observed a significant association between the atmospheric parameters' joint effects and hyperlipidaemia, diabetes, and previous ACVDs. Patients with diabetes had the highest significant incidence relative ratio at 2.429 (95% CI [1.088, 5.424]) for humidity-temperature interactions. Thus, the atmospheric parameters' joint effects play an important role as minor CRFs. These unfavourable atmospheric situations are predicted to increase the number of ACVDs mainly. Our study may help to organize prevention strategies more effectively and to reduce cardiovascular risks.

Indexed as

AtmosphereMeteorologyAcute DiseaseCardiovascular DiseasesHospitalizationHumansHumidityRiskRisk FactorsTemperatureWeather

Identifiers

PMID31015485
PMCPMC6479062

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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.