Evidence map›Paper›PMID 34286447›Full record

ArticleThe international journal of cardiovascular imaging2022

COVID 19 disease independently predicted endothelial dysfunction measured by flow-mediated dilatation.

Elif Ergül, Ahmet Seyda Yılmaz, Muhammet Mürsel Öğütveren, Nadir Emlek, Uğur Kostakoğlu, Mustafa Çetin

Open access · bronzeAbstract read
In one paragraph

Article in The international journal of cardiovascular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 13% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

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  9. COVID-19 sequelae: can long-term effects be predicted?The Lancet. Infectious diseases · 2022
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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 at 1 institution in 1 country.

Elif ErgülDepartment of Cardiology, Faculty of Medicine, Recep Tayyip Erdogan University, 53020, Rize, Turkey.
Ahmet Seyda YılmazDepartment of Cardiology, Faculty of Medicine, Recep Tayyip Erdogan University, 53020, Rize, Turkey. ahmetseydayilmaz@gmail.com.ORCID http://orcid.org/0000-0003-3864-4023
Muhammet Mürsel ÖğütverenDepartment of Cardiology, Faculty of Medicine, Recep Tayyip Erdogan University, 53020, Rize, Turkey.
Nadir EmlekDepartment of Cardiology, Faculty of Medicine, Recep Tayyip Erdogan University, 53020, Rize, Turkey.
Uğur KostakoğluDepartment of Infectious Disease, Faculty of Medicine, Recep Tayyip Erdogan University, Rize, Turkey.
Mustafa ÇetinDepartment of Cardiology, Faculty of Medicine, Recep Tayyip Erdogan University, 53020, Rize, Turkey.
Recep Tayyip Erdoğan University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The systemic effects of COVID-19 disease are still largely uncertain and needs to be scrutinized with further trials. Endothelial dysfunction (ED) is responsible for the majority of adverse cardiovascular events. Flow-mediated dilation (FMD) is easily obtainable method to assess ED accurately. It is aimed to evaluate ED by measuring FMD following COVID-19 disease. Patients diagnosed with COVID-19 disease were recruited to the hospital two month after the discharge. Sex and age-matched healthy subjects were determined as the control group. Blood samples and FMD measurements were obtained from each participant. All subjects were divided into two groups according to the presence of ED determined by FMD measurements. These two groups were compared in terms of demographic features and the presence of recovered COVID-19 disease. A total of 92 subjects consisting of 59 without ED and 33 with ED were included in the study. ED (+) group was older (p = 0.015) and more likely to have hypertension (p = 0.044) and COVID-19 rate was higher in ED (+) group (p = 0.009). While neutrophil count (p = 0.047) and CRP (p = 0.036) were higher, eGFR (p = 0.044) was lower in ED (+) group. In the backward multivariable regression analysis, COVID-19 disease [OR = 3.611, 95% CI 1.069-12.198, p = 0.039] and BMI [OR = 1.122, 95% CI 1.023-1.231, p = 0.015] were independent predictors of ED. COVID-19 disease may cause ED which is the major underlying factor of cardiovascular diseases. Furthermore, COVID-19 disease may deteriorate the existing cardiovascular disease course. Detecting ED in the early phase or preventing by new treatment modalities may improve short and long-term outcome.

Indexed as

COVID-19HypertensionBrachial ArteryDilatationEndothelium, VascularHumansPredictive Value of TestsSARS-CoV-2VasodilationCOVID-19 diseaseEndothelial dysfunctionFlow-mediated dilatation

Identifiers

PMID34286447
PMCPMC8294249
OpenAlexW3158563578

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.