Evidence map›Paper›PMID 33964872›Full record

Observational studyBMC cardiovascular disorders2021

CardiOvaScular Mechanisms In Covid-19: methodology of a prospective observational multimodality imaging study (COSMIC-19 study).

Shirjel R Alam, Anoop S V Shah, Kevin O Ombati, Edward Nganga, Samuel Gitau, Khalid Makhdomi, Michael H Chung, Sudhir Vinayak

Open access · goldAbstract readClinical Trial ProtocolObservational Study
In one paragraph

Observational study in BMC cardiovascular disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. [Nuclear Cardiology in the COVID-19 pandemic].Revista espanola de medicina nuclear e imagen molecular
    Article
  6. Nuclear Cardiology in the COVID-19 pandemic.Revista espanola de medicina nuclear e imagen molecular
    Article
  7. Revista espanola de medicina nuclear e imagen molecular
    Review
  8. [Revista espanola de medicina nuclear e imagen molecular
    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 3 countries.

Shirjel R Alam *Manchester University, Manchester, UK.
Anoop S V Shah *London School of Hygiene and Tropical Medicine, London, UK. anoop.shah@lshtm.ac.uk.ORCID 0000-0002-2825-3419
Kevin O OmbatiAga Khan University Hospital, Nairobi, Kenya.
Edward NgangaAga Khan University Hospital, Nairobi, Kenya.
Samuel GitauAga Khan University Hospital, Nairobi, Kenya.
Khalid MakhdomiAga Khan University Hospital, Nairobi, Kenya.
Michael H ChungEmory University, Atlanta, USA.
Sudhir VinayakAga Khan University Hospital, Nairobi, Kenya.
Aga Khan University Hospital Nairobi · KEEmory University · USLondon School of Hygiene & Tropical Medicine · GBUniversity of Manchester · GB

Funding

British Heart Foundation FS/19/17/34172GCRF Cov3
6 · The paper itself

Abstract

background8-28% of patients infected with COVID-19 have evidence of cardiac injury, and this is associated with an adverse prognosis. The cardiovascular mechanisms of injury are poorly understood and speculative. We aim to use multimodality cardiac imaging including cardiac magnetic resonance (CMR) imaging, computed tomography coronary angiography (CTCA) and positron emission tomography with 2-deoxy-2-[fluorine-18]fluoro-D-glucose integrated with computed tomography (18F-FDG-PET/CT) to identify the cardiac pathophysiological mechanisms related to COVID-19 infections.

methodsThis is a single-centre exploratory observational study aiming to recruit 50 patients with COVID-19 infection who will undergo cardiac biomarker sampling. Of these, 30 patients will undergo combined CTCA and 18F-FDG-PET/CT, followed by CMR. Prevalence of obstructive and non-obstructive atherosclerotic coronary disease will be assessed using CTCA. CMR will be used to identify and characterise myocardial disease including presence of cardiac dysfunction, myocardial fibrosis, myocardial oedema and myocardial infarction. 18F-FDG-PET/CT will identify vascular and cardiac inflammation. Primary endpoint will be the presence of cardiovascular pathology and the association with troponin levels. DISCUSSION: The results of the study will identify the presence and modality of cardiac injury associated COVID-19 infection, and the utility of multi-modality imaging in diagnosing such injury. This will further inform clinical decision making during the pandemic.

trial registrationThis study has been retrospectively registered at the ISRCTN registry (ID ISRCTN12154994) on 14th August 2020. Accessible at https://www.isrctn.com/ISRCTN12154994.

Indexed as

CardiomyopathiesComputed Tomography AngiographyCoronary DiseaseCOVID-19Fluorodeoxyglucose F18HumansMagnetic Resonance ImagingMultimodal ImagingPositron Emission Tomography Computed TomographyProspective StudiesRadiopharmaceuticalsFluorodeoxyglucose F18Radiopharmaceuticals18F-FDG-PET/CTCardiac injuryCardiovascularCMRCOVID-19CTCAFDGImagingTroponin

Identifiers

PMID33964872
PMCPMC8106368
OpenAlexW3121931847

What OpenQuestion holds

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LicenceCC BY
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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.