Evidence map›Paper›PMID 33467705›Full record

ReviewDiagnostics (Basel, Switzerland)2021

Cardiac MRI and Myocardial Injury in COVID-19: Diagnosis, Risk Stratification and Prognosis.

Saagar K Sanghvi, Logan S Schwarzman, Noreen T Nazir

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

25 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
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  11. Cardiovascular complications in the Post-Acute COVID-19 syndrome (PACS).International journal of cardiology. Heart & vasculature · 2022
    Review
  12. Review
  13. Prognosis patients with COVID-19 using deep learning.BMC medical informatics and decision making · 2022
    Article
  14. Review
  15. Review
  16. Cardiovascular complications of COVID-19 severe acute respiratory syndrome.American journal of cardiovascular disease · 2022
    Review
  17. Article
  18. Article
  19. Acute and Chronic Effects of COVID-19 on the Cardiovascular System.Journal of cardiovascular development and disease · 2021
    Review
  20. 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

3 authors at 1 institution in 1 country.

Saagar K SanghviDivision of Cardiology, University of Illinois College of Medicine at Chicago, Chicago, IL 60612, USA.
Logan S SchwarzmanDepartment of Medicine, University of Illinois College of Medicine at Chicago, Chicago, IL 60612, USA.ORCID 0000-0002-0896-4942
Noreen T NazirDivision of Cardiology, University of Illinois College of Medicine at Chicago, Chicago, IL 60612, USA.
Illinois College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myocardial injury is a common complication of the COVID-19 illness and is associated with a worsened prognosis. Systemic hyperinflammation seen in the advanced stage of COVID-19 likely contributes to myocardial injury. Cardiac magnetic resonance imaging (CMR) is the preferred imaging modality for non-invasive evaluation in acute myocarditis, enabling risk stratification and prognostication. Modified scanning protocols in the pandemic setting reduce risk of exposure while providing critical data regarding cardiac tissue inflammation and fibrosis, chamber remodeling, and contractile function. The growing use of CMR in clinical practice to assess myocardial injury will improve understanding of the acute and chronic sequelae of myocardial inflammation from various pathological etiologies.

Indexed as

cardiac magnetic resonance imaging (CMR)COVID-19cytokine stormmyocardial inflammation

Identifiers

PMID33467705
PMCPMC7830889
OpenAlexW3120433432

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.