Evidence map›Paper›PMID 32803484›Full record

ArticleThe international journal of cardiovascular imaging2021

Evaluation of biventricular function in patients with COVID-19 using speckle tracking echocardiography.

Omer Faruk Baycan, Hasan Ali Barman, Adem Atici, Adem Tatlisu, Furkan Bolen, Pınar Ergen, Sacit Icten, Baris Gungor, Mustafa Caliskan

Abstract read
In one paragraph

Article in The international journal of cardiovascular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 4 pooled it
–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

68 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Echocardiographic assessment of the right ventricle in COVID-19: a systematic review.The international journal of cardiovascular imaging · 2021
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  7. Cardiovascular Manifestations of Patients with Long COVID.Diagnostics (Basel, Switzerland) · 2025
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8 more citing papers are in PubMed but not listed here.

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

9 authors.

Omer Faruk BaycanDepartment of Cardiology, Faculty of Medicine, Goztepe Training and Research Hospital, Istanbul Medeniyet University, Istanbul, Turkey.
Hasan Ali BarmanDepartment of Cardiology, Institute of Cardiology, Istanbul University - Cerrahpasa, Istanbul, Turkey. drhasanali@hotmail.com.ORCID http://orcid.org/0000-0001-7450-5202
Adem AticiDepartment of Cardiology, Faculty of Medicine, Goztepe Training and Research Hospital, Istanbul Medeniyet University, Istanbul, Turkey.
Adem TatlisuDepartment of Cardiology, Faculty of Medicine, Goztepe Training and Research Hospital, Istanbul Medeniyet University, Istanbul, Turkey.
Furkan BolenDepartment of Cardiology, Faculty of Medicine, Goztepe Training and Research Hospital, Istanbul Medeniyet University, Istanbul, Turkey.
Pınar ErgenDepartment of Cardiology, Faculty of Medicine, Goztepe Training and Research Hospital, Istanbul Medeniyet University, Istanbul, Turkey.
Sacit IctenDepartment of Cardiology, Faculty of Medicine, Goztepe Training and Research Hospital, Istanbul Medeniyet University, Istanbul, Turkey.
Baris GungorDepartment of Cardiology, Dr. Siyami Ersek Training and Research Hospital, University of Health Sciences, Istanbul, Turkey.
Mustafa CaliskanDepartment of Cardiology, Faculty of Medicine, Goztepe Training and Research Hospital, Istanbul Medeniyet University, Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new infectious outbreak sustained by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is now spreading all around the world. The aim of this study was to evaluate the prognostic value of left ventricular global longitudinal strain (LV-GLS) and right ventricular longitudinal strain (RV-LS) in patients with coronavirus disease 2019 (COVID-19). In this prospective, single-center study, data were gathered from patients treated for COVID-19 between April 15 and April 30, 2020. Two-dimensional echocardiography (2-DE) and speckle tracking echocardiography (STE) images were obtained for all patients. Patients were divided into three groups: those with severe COVID-19 infection, those with non-severe COVID-19 infection, and those without COVID-19 infection (the control group). Data regarding clinical characteristics and laboratory findings were obtained from electronic medical records. The primary endpoint was in-hospital mortality. A total of 100 patients hospitalized for COVID-19 were included in this study. The mean age of the severe group (n = 44) was 59.1 ± 12.9, 40% of whom were male. The mean age of the non-severe group (n = 56) was 53.7 ± 15.1, 58% of whom were male. Of these patients, 22 died in the hospital. In patients in the severe group, LV-GLS and RV-LS were decreased compared to patients in the non-severe and control groups (LV-GLS: - 14.5 ± 1.8 vs. - 16.7 ± 1.3 vs. - 19.4 ± 1.6, respectively [p < 0.001]; RV-LS: - 17.2 ± 2.3 vs. - 20.5 ± 3.2 vs. - 27.3 ± 3.1, respectively [p < 0.001]). The presence of cardiac injury, D-dimer, arterial oxygen saturation (SaO2), LV-GLS (OR 1.63, 95% confidence interval [CI] 1.08-2.47; p = 0.010) and RV-LS (OR 1.55, 95% CI 1.07-2.25; p = 0.019) were identified as independent predictors of mortality via multivariate analysis. LV-GLS and RV-LS are independent predictors of in-hospital mortality in patients with COVID-19.

Indexed as

COVID-19EchocardiographyFemaleHeart VentriclesHumansMaleMiddle AgedProspective StudiesSARS-CoV-2Ventricular Dysfunction, LeftVentricular Dysfunction, RightBiventricular functionCOVID-19Speckle tracking echocardiography

Identifiers

PMID32803484
PMCPMC7429089

What OpenQuestion holds

Textmetadata
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.