Evidence map›Paper›PMID 35309652›Full record

ArticleJournal of family medicine and primary care2022

Endothelial dysfunction assessed by brachial artery flow-mediated dilatation predicts severe COVID-19-related disease.

Rohit Walia, Venkat Subaih Arunachalam, Udit Chauhan, Meenakshi Khapre, Poonam Arora

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 46% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

5 authors at 1 institution.

Rohit WaliaDepartment of Cardiology, All India Institute of Medical Science Rishikesh, Uttarakhand, India.
Venkat Subaih ArunachalamRadiology, All India Institute of Medical Science Rishikesh, Uttarakhand, India.
Udit ChauhanRadiology, All India Institute of Medical Science Rishikesh, Uttarakhand, India.
Meenakshi KhapreCommunity & Family Medicine, All India Institute of Medical Science Rishikesh, Uttarakhand, India.
Poonam AroraEmergency Medicine, All India Institute of Medical Science Rishikesh, Uttarakhand, India.
All India Institute of Medical Sciences Rishikesh

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Endothelial dysfunction, inflammation, and hypercoagulability are hallmarks of severe COVID-19 related disease. Endothelial function can be measured non-invasively by flow-mediated dilatation in the brachial artery. We planned a study to measure it as a marker of the severity of COVID-19 disease. Objective: To evaluate the association of clinically recognizable endothelial dysfunction in COVID-19 disease and its usefulness as a marker of severe COVID-19-related disease. Methods: 20 COVID-19 patients being admitted to our unit were analyzed for endothelial dysfunction and correlated with disease severity as per computed tomography (CT) chest score. Patients with diabetes, atherosclerotic coronary artery disease, dyslipidemia, chronic renal disease, and infections other than COVID-19 were excluded. Endothelial dysfunction was measured by flow-mediated dilatation in the brachial artery. Results: The mean age was 46.4 ± 16.5 years; 70% were males. The mean CT severity score was 22 ± 8; 60% required supplemental oxygen and steroids. The incidence of endothelial dysfunction was more in patients with a computed tomography severity score of >19.5 or oxygen saturation of <93% at room air as compared to mild cases ( Conclusions: Endothelial dysfunction as measured by impaired brachial artery flow mediated dilatation correlates with disease severity.

Indexed as

COVID-19CT severity scoreendothelial dysfunctionflow mediated dilatation

Identifiers

PMID35309652
PMCPMC8930105
OpenAlexW4210331509

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

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.