Evidence map›Paper›PMID 38689861›Full record

ArticleFrontiers in cardiovascular medicine2024

Atrial fibrillation and COVID-19: an analysis of the ambulatory database.

Zhanna M Sizova, Valeria L Zakharova, Natalya N Shindryaeva, Natalia I Lapidus, Mariya V Melnik, Evgenia V Shikh, Ludmila Y Grebenshchikova, Alexandra V Beloborodova, Ivan P Polovikov

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In one paragraph

Article in Frontiers in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 90% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 2 institutions in 1 country.

Zhanna M SizovaSechenov First Moscow Medical State University, Moscow, Russia.
Valeria L ZakharovaSechenov First Moscow Medical State University, Moscow, Russia.
Natalya N ShindryaevaSechenov First Moscow Medical State University, Moscow, Russia.
Natalia I LapidusSechenov First Moscow Medical State University, Moscow, Russia.
Mariya V MelnikSechenov First Moscow Medical State University, Moscow, Russia.
Evgenia V ShikhSechenov First Moscow Medical State University, Moscow, Russia.
Ludmila Y GrebenshchikovaTver State Medical University, Tver, Russia.
Alexandra V BeloborodovaSechenov First Moscow Medical State University, Moscow, Russia.
Ivan P PolovikovSechenov First Moscow Medical State University, Moscow, Russia.
Sechenov University · RUTver State Medical University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atrial fibrillation (AF) is the most common heart rhythm disorder in clinical practice. It worsens the quality of life of patients, leads to an increase in the mortality rate because of its association with a high risk of thromboembolic complications. The current pandemic of a new coronavirus infection, which began in March 2020, was marked by an increase in cardiovascular diseases, including an increase in the number of patients with AF. That is why it is extremely relevant to find answers to questions about the association and mutual influence of AF and coronavirus infection to reduce the risk of vascular complications. However, most research in this area has focused on hospital patients. In this study, an electronic database of outpatients with AF, including patients with a history of COVID-19 infection was analyzed in order to assess the most significant risk factors for complications.

Indexed as

atrial fibrillationcardiovascular comorbiditycoronavirus infectionretrospective analysisthromboembolic complications

Identifiers

PMID38689861
PMCPMC11058836
OpenAlexW4394850454

What OpenQuestion holds

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LicenceCC BY
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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.