Evidence map›Paper›PMID 39076192›Full record

ReviewReviews in cardiovascular medicine2022

CMR Findings in COVID-19 Recovered Patients: A Review on Parametric Mapping, Feature-Tracking, and LGE.

Mary Luz Mojica-Pisciotti, Roman Panovský, Tomáš Holeček, Lukáš Opatřil

Abstract readReview
In one paragraph

Review in Reviews in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Mary Luz Mojica-PisciottiInternational Clinical Research Center at St. Anne's University Hospital, 60200 Brno, Czech Republic.ORCID https://orcid.org/0000-0002-9827-1006
Roman PanovskýInternational Clinical Research Center at St. Anne's University Hospital, 60200 Brno, Czech Republic.ORCID https://orcid.org/0000-0001-8489-132X
Tomáš HolečekInternational Clinical Research Center at St. Anne's University Hospital, 60200 Brno, Czech Republic.ORCID https://orcid.org/0000-0001-8805-668X
Lukáš OpatřilInternational Clinical Research Center at St. Anne's University Hospital, 60200 Brno, Czech Republic.ORCID https://orcid.org/0000-0002-5504-7370

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

On March 11, 2020, the World Health Organization raised the coronavirus disease 2019 (COVID-19) status to a pandemic level. The disease caused a global outbreak with devastating consequences, and a fair percentage of patients who have recovered from it continue experiencing persistent sequelae. Hence, identifying the medium and long-term effects of the COVID-19 disease is crucial for its future management. In particular, cardiac complications, from affected function to myocardial injuries, have been reported in these patients. Considering that cardiovascular magnetic resonance (CMR) imaging is the gold standard in diagnosing myocardial involvement and has more advantages than other medical imaging modalities, assessing the outcomes of patients who recovered from COVID-19 with CMR could prove beneficial. This review compiles common findings in CMR in patients from the general population who recovered from COVID-19. The CMR-based techniques comprised parametric mapping for analyzing myocardial composition, feature tracking for studying regional heart deformation, and late gadolinium enhancement for detecting compromised areas in the cardiac muscle. A total of 19 studies were included. The evidence suggests that it is more likely to find signs of myocardial injury in patients who recovered from COVID-19 than in healthy controls, including changes in T1 and T2 mapping relaxation times, affected strain, or the presence of late gadolinium enhancement (LGE) lesions. However, more than two years after the outbreak, there is still a lack of consensus about how these parameters may indicate cardiac involvement in patients who recovered from the disease, as limited and contradictory data is available.

Indexed as

feature trackinglate gadolinium enhancementmagnetic resonance imageparametric mappingSARS-CoV-2

Identifiers

PMID39076192
PMCPMC11269062

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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.