Evidence map›Paper›PMID 34709656›Full record

ArticleJournal of clinical ultrasound : JCU2022

Right ventricle early inflow-outflow index may inform about the severity of pneumonia in patients with COVID-19.

Muzaffer Kahyaoglu, MuratCan Guney, Derya Deniz, Ertugrul Kilic

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical ultrasound : JCU, 2022. 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
0.4field-weighted citation impact, top 37% 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

4 authors at 1 institution in 1 country.

Muzaffer KahyaogluDepartment of Cardiology, Gaziantep Abdulkadir Yuksel State Hospital, Gaziantep, Turkey.ORCID https://orcid.org/0000-0002-8572-1725
MuratCan GuneyDepartment of Cardiology, Gaziantep Abdulkadir Yuksel State Hospital, Gaziantep, Turkey.
Derya DenizDepartment of Chest Diseases, Gaziantep Abdulkadir Yuksel State Hospital, Gaziantep, Turkey.
Ertugrul KilicDepartment of Anaesthesiology and Reanimation, Gaziantep Abdulkadir Yuksel State Hospital, Gaziantep, Turkey.
Gaziantep Children's Hospital · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEchocardiography is generally used in our daily practice to detect cardiovascular complications in COVID-19 patients and for etiological research in the case of worsened clinical status. Many echocardiographic parameters have been the subject of investigation in previous studies on COVID-19. Recently, the right ventricle early inflow-outflow (RVEIO) index has been identified as a possible and indirect marker of the severity of tricuspid regurgitation and right ventricular dysfunction in pulmonary embolism. In this study, we aimed to investigate the relationship between the severity of pneumonia in COVID-19 patients and the RVEIO index.

methodsA total of 54 patients diagnosed with COVID-19 pneumonia were enrolled in this study. Our study population was separated into two groups as severe pneumonia and nonsevere pneumonia based on computed tomography imaging.

resultsSaturation O

conclusionThe RVEIO index can be used as a bedside, noninvasive, easily accessible, and useful marker to identify the COVID-19 patient group with widespread pneumonia and, therefore high risk of complications, morbidity, and mortality.

Indexed as

COVID-19Ventricular Dysfunction, RightEchocardiographyHeart VentriclesHumansSARS-CoV-2Ventricular Function, RightCOVID-19pneumoniaRVEIO indexseverity

Identifiers

PMID34709656
PMCPMC8657520
OpenAlexW3208774474

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.