Evidence map›Paper›PMID 37426709›Full record

ReviewJournal of cardiovascular echography

Echocardiography in Coronavirus Disease 2019 Era: A Single Tool for Diagnosis and Prognosis.

Caterina Oriana Aragona, Gianluca Bagnato, Simona Tomeo, Daniela La Rosa, Marianna Chiappalone, Maria Concetta Tringali, Emanuele Balwinder Singh, Antonio Giovanni Versace

Abstract readReview
In one paragraph

Review in Journal of cardiovascular echography. 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
–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

1 citing paper in PubMed.

  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

8 authors.

Caterina Oriana AragonaDepartment of Emergency, Unit of Emergency Mecicine, AOU Policlinico "G.Martino", University of Messina, Messina, Italy.
Gianluca BagnatoDepartment of Emergency, Unit of Emergency Mecicine, AOU Policlinico "G.Martino", University of Messina, Messina, Italy.
Simona TomeoDepartment of Emergency, Unit of Emergency Mecicine, AOU Policlinico "G.Martino", University of Messina, Messina, Italy.
Daniela La RosaDepartment of Emergency, Unit of Emergency Mecicine, AOU Policlinico "G.Martino", University of Messina, Messina, Italy.
Marianna ChiappaloneDepartment of Emergency, Unit of Emergency Mecicine, AOU Policlinico "G.Martino", University of Messina, Messina, Italy.
Maria Concetta TringaliDepartment of Emergency, Unit of Emergency Mecicine, AOU Policlinico "G.Martino", University of Messina, Messina, Italy.
Emanuele Balwinder SinghDepartment of Emergency, Unit of Emergency Mecicine, AOU Policlinico "G.Martino", University of Messina, Messina, Italy.
Antonio Giovanni VersaceDepartment of Emergency, Unit of Emergency Mecicine, AOU Policlinico "G.Martino", University of Messina, Messina, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is characterized by multi-organ involvement, including respiratory and cardiac events. Echocardiography is widely considered the first-choice tool for the evaluation of cardiac structures and function because of its reproducibility, feasibility, easy to use at bedside, and for good cost-effectiveness. The aim of our literature review is to define the utility of echocardiography in the prediction of prognosis and mortality in COVID-19 patients with mild to critical respiratory illness, with or without known cardiovascular disease. Moreover, we focused our attention on classical echocardiographic parameters and the use of speckle tracking to predict the evolution of respiratory involvement. Finally, we tried to explore the possible relationship between pulmonary disease and cardiac manifestations.

Indexed as

Cardiovascular diseasescoronavirus disease 2019respiratory failuresevere acute respiratory syndrome coronavirus 2speckle trackingtransthoracic echocardiography

Identifiers

PMID37426709
PMCPMC10328134

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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 Socratic graph.