Evidence map›Paper›PMID 36874412›Full record

ArticleWorld journal of clinical cases2023

COVID-19-related cardiomyopathy: Can dual-energy computed tomography be a diagnostic tool?

Fahri Aydin, Mecit Kantarci, Sonay Aydın, Erdal Karavaş, Gökhan Ceyhun, Hayri Ogul, Çağrı Emin Şahin, Suat Eren

Open access · diamondAbstract read
In one paragraph

Article in World journal of clinical cases, 2023. 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
0.2field-weighted citation impact, top 55% 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, 2 citations in OpenAlex.

  1. Article
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

8 authors at 4 institutions in 1 country.

Fahri AydinDepartment of Radiology, Ataturk University, Erzurum 25000, Turkey.
Mecit KantarciDepartment of Radiology, Ataturk University, Erzurum 25000, Turkey.
Sonay AydınDepartment of Radiology, Erzincan Binali Yidirim University, Erzincan 24000, Turkey.
Erdal KaravaşDepartment of Radiology, Bandirma Onyedi Eylul University, Balikesir 10200, Turkey. erdalkaravas@hotmail.com.
Gökhan CeyhunDepartment of Cardiology, Ataturk University, Erzurum 25000, Turkey.
Hayri OgulDepartment of Radiology, Ataturk University, Erzurum 25000, Turkey.
Çağrı Emin ŞahinGeneral Directorate of Public Health, Ministry of Health in Türkiye, Ankara 06100, Turkey.
Suat ErenDepartment of Radiology, Ataturk University, Erzurum 25000, Turkey.
Atatürk University · TRBandırma Onyedi Eylül University · TRErzincan Binali Yıldırım University · TRMinistry of Health · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNo study on dual energy computed tomography (DECT) has been found in the literature to evaluate possibly fatal cardiac/myocardial problems in corona virus disease 2019 (COVID-19) patients. Myocardial perfusion deficits can be found in COVID-19 patients even without any significant coronary artery occlusion, and these deficits can be shown

aimTo assess lung perfusion alterations in COVID-19 patients. To our knowledge, no study using DECT has been performed to evaluate possibly fatal cardiac/ myocardial problems in COVID-19 patients. The purpose of this study is to evaluate the role of DECT in the detection of COVID-19-related cardiac diseases.

methodsTwo blinded independent examiners evaluated CT images using the 17-segment model according to the American Heart Association's classification of the segmentation of the left ventricular myocardium. Additionally, intraluminal diseases and abnormalities in the main coronary arteries and branches were investigated. Following segment-by-segment analysis, perfusion deficiencies identified on the iodine map pictures on DECT were identified.

resultsThe study enrolled a total of 87 patients. Forty-two of these individuals were classified as COVID-19 positive, and 45 were classified as controls. Perfusion deficits were identified in 66.6% (

conclusionMyocardial perfusion deficits can be found in COVID-19 patients even without any significant coronary artery occlusion. These deficits can be shown

Indexed as

COVID-19D-dimerDual energy computed tomographyHeartPerfusion

Identifiers

PMID36874412
PMCPMC9979305
OpenAlexW4320519596

What OpenQuestion holds

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LicenceCC BY-NC
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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.