Evidence map›Paper›PMID 36455902›Full record

ArticleSouthern medical journal2022

Atrial Fibrillation and Cardiovascular Risk Assessment among COVID-19 Patients Using Different Scores.

Md Mashiul Alam, Timir Paul, Samira Hayee, Fatema Mahjabeen

Open access · greenAbstract read
In one paragraph

Article in Southern medical journal, 2022. 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
0.2field-weighted citation impact, top 47% 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, 2 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

4 authors at 1 institution in 2 countries.

Md Mashiul AlamFrom Bridgeport Hospital/Yale New Haven Health, Bridgeport, Connecticut, the University of Tennessee College of Medicine, Memphis, the Department of Neurology, National Institute of Neurosciences and Hospital, Dhaka, Bangladesh, and Department of Cardiology, National Institute of Cardiovascular Diseases and Hospital, Dhaka, Bangladesh.
Timir PaulFrom Bridgeport Hospital/Yale New Haven Health, Bridgeport, Connecticut, the University of Tennessee College of Medicine, Memphis, the Department of Neurology, National Institute of Neurosciences and Hospital, Dhaka, Bangladesh, and Department of Cardiology, National Institute of Cardiovascular Diseases and Hospital, Dhaka, Bangladesh.
Samira HayeeFrom Bridgeport Hospital/Yale New Haven Health, Bridgeport, Connecticut, the University of Tennessee College of Medicine, Memphis, the Department of Neurology, National Institute of Neurosciences and Hospital, Dhaka, Bangladesh, and Department of Cardiology, National Institute of Cardiovascular Diseases and Hospital, Dhaka, Bangladesh.
Fatema MahjabeenFrom Bridgeport Hospital/Yale New Haven Health, Bridgeport, Connecticut, the University of Tennessee College of Medicine, Memphis, the Department of Neurology, National Institute of Neurosciences and Hospital, Dhaka, Bangladesh, and Department of Cardiology, National Institute of Cardiovascular Diseases and Hospital, Dhaka, Bangladesh.
Bridgeport Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the advent of severe acute respiratory syndrome-coronavirus-2 in December 2019, millions of people have been infected and succumbed to death because of this deadly virus. Cardiovascular complications such as thromboembolism and arrhythmia are predominant causes of morbidity and mortality. Different scores previously used for atrial fibrillation (AF) identification or prediction of its complications were investigated by physicians to understand whether those scores can predict in-hospital mortality or AF among patients infected with the severe acute respiratory syndromecoronavirus-2 virus. Using such scores gives hope for early prediction of atrial arrhythmia and in-hospital mortality among coronavirus disease 2019-infected patients. We have discussed the mechanisms of AF and cardiovascular damage in coronavirus disease 2019 patients, different methods of AF prediction, and compared different scores for prediction of in-hospital mortality after this viral infection.

Indexed as

Atrial FibrillationCardiovascular DiseasesCOVID-19Heart Disease Risk FactorsHumansRisk Factors

Identifiers

PMID36455902
PMCPMC9696680
OpenAlexW4311932006

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.