Evidence map›Paper›PMID 34065902›Full record

ArticleJournal of clinical medicine2021

Combined Cardiac Risk Factors Predict COVID-19 Related Mortality and the Need for Mechanical Ventilation in Coptic Clergy.

Michael Y Henein, Ibadete Bytyçi, Rachel Nicoll, Rafik Shenouda, Sherif Ayad, Matteo Cameli, Federico Vancheri

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. 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
0.3field-weighted citation impact, top 43% 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, 5 citations in OpenAlex.

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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 4 institutions in 4 countries.

Michael Y HeneinInstitute of Public Health and Clinical Medicine, Umea University, 90187 Umea, Sweden.
Ibadete BytyçiInstitute of Public Health and Clinical Medicine, Umea University, 90187 Umea, Sweden.ORCID 0000-0002-8996-4257
Rachel NicollInstitute of Public Health and Clinical Medicine, Umea University, 90187 Umea, Sweden.
Rafik ShenoudaInstitute of Public Health and Clinical Medicine, Umea University, 90187 Umea, Sweden.
Sherif AyadDepartment of Cardiology, Faculty of Medicine, Alexandria University, Alexandria 21526, Egypt.ORCID 0000-0002-1737-0142
Matteo CameliDepartment of Cardiovascular Disease, University of Siena, 53100 Siena, Italy.ORCID 0000-0003-3872-8964
Federico VancheriDepartment of Internal Medicine, S. Elia Hospital, 93100 Caltanissetta, Italy.ORCID 0000-0002-5268-063X
Umeå University · SEAlexandria University · EGSt George's, University of London · GBUniversity of Siena · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsThe clinical adverse events of COVID-19 among clergy worldwide have been found to be higher than among ordinary communities, probably because of the nature of their work. The aim of this study was to assess the impact of cardiac risk factors on COVID-19-related mortality and the need for mechanical ventilation in Coptic clergy.

methodsOf 1570 Coptic clergy participating in the COVID-19-Clergy study, serving in Egypt, USA and Europe, 213 had the infection and were included in this analysis. Based on the presence of systemic arterial hypertension (AH), participants were divided into two groups: Group-I, clergy with AH (

resultsClergy with AH were older (

conclusionIn Coptic clergy, the cumulative impact of risk factors was the most powerful predictor of mortality and the need for mechanical ventilation.

Indexed as

cardiovascular risk factorsCoptic clergyCOVID-19mortality

Identifiers

PMID34065902
PMCPMC8151318
OpenAlexW3163050390

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.