Evidence map›Paper›PMID 38485119›Full record

ArticleOpen heart2024

Prevalence of abnormal left ventricular global longitudinal strain by speckle tracking echocardiography and its prognostic value in patients with COVID-19.

Shruti Hegde, Mina Shnoda, Yasser Alkhadra, Adhiraj Bhattacharya, Maria Nikolaeva, Michael Maysky

Open access · goldAbstract read
In one paragraph

Article in Open heart, 2024. 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
1.6field-weighted citation impact, top 19% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

6 authors at 3 institutions in 1 country.

Shruti HegdeCardiovascular Medicine, Southern Illinois University School of Medicine, Springfield, Illinois, USA.
Mina ShnodaCardiovascular Medicine, Southern Illinois University School of Medicine, Springfield, Illinois, USA mshnoda39@siumed.edu.ORCID 0000-0001-6062-9482
Yasser AlkhadraCardiovascular Medicine, Southern Illinois University School of Medicine, Springfield, Illinois, USA.
Adhiraj BhattacharyaDepartment of Internal medicine, Tufts/St Elizabeth Medical Center, Brighton, Massachusetts, USA.
Maria NikolaevaDepartment of Internal medicine, Tufts/St Elizabeth Medical Center, Brighton, Massachusetts, USA.
Michael MayskyCardiology, Caritas Saint Elizabeth's Medical Center, Brighton, Massachusetts, USA.
Southern Illinois University School of Medicine · USSt. Elizabeth Healthcare · USSt. Elizabeth's Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importanceAlthough cardiac injury is a known complication of COVID-19 infection, there is no established tool to predict cardiac involvement and in-hospital mortality in this patient population.

objectiveTo assess if left ventricular global longitudinal strain (LV-GLS) can detect cardiac involvement and be used as a risk-stratifying parameter for hospitalised patients with COVID-19. MAIN OUTCOMES AND MEASURES: In-hospital mortality.

resultsWe found a statistically significant association between LV-GLS and in-hospital mortality (adjusted OR (aOR)=1.09; 95% CI 1.0 to 1.19, p=0.050). Furthermore, right ventricular fractional area change was significantly associated with in-hospital mortality (aOR=1.04; 95% CI 1.0 to 1.08, p=0.043). Troponin level had no statistically significant association with in-hospital mortality (aOR=3.43; 95% CI 0.78 to 15.03, p=0.101). CONCLUSION AND RELEVANCE: LV-GLS can be a useful parameter for cardiovascular risk assessment in hospitalised patients with COVID-19 infection.

Indexed as

COVID-19Global Longitudinal StrainEchocardiographyHumansPrevalencePrognosisVentricular Function, LeftCOVID-19EchocardiographyOutcome Assessment, Health Care

Identifiers

PMID38485119
PMCPMC10941116
OpenAlexW4392820569

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.