Evidence map›Paper›PMID 34177171›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2021

Use of Handheld Ultrasound Device with Artificial Intelligence for Evaluation of Cardiorespiratory System in COVID-19.

Harish M Maheshwarappa, Shivangi Mishra, Anuja V Kulkarni, Vikneswaran Gunaseelan, Muralidhar Kanchi

Open access · diamondAbstract read
In one paragraph

Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

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  13. There is No Substitute for Human Intelligence.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2021
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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

5 authors at 1 institution in 1 country.

Harish M MaheshwarappaDepartment of Critical Care Medicine, Mazumdar Shaw Medical Centre, Narayana Health City, Bengaluru, Karnataka, India.ORCID https://orcid.org/0000-0001-9377-3421
Shivangi MishraDepartment of Critical Care Medicine, Mazumdar Shaw Medical Centre, Narayana Health City, Bengaluru, Karnataka, India.ORCID https://orcid.org/0000-0003-4960-2400
Anuja V KulkarniNarayana Institute of Cardiac Sciences, Narayana Health City, Bengaluru, Karnataka, India.ORCID https://orcid.org/0000-0002-8540-0024
Vikneswaran GunaseelanDepartment of Clinical Research, Narayana Hrudayalaya Limited, Bengaluru, Karnataka, India.ORCID https://orcid.org/0000-0002-8191-1572
Muralidhar KanchiDepartment of Anaesthesiology and Intensive Care, Narayana Institute of Cardiac Sciences, Bengaluru, Karnataka, India.ORCID https://orcid.org/0000-0003-3347-0204
Narayana Health · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease-2019 (COVID-19) causes various cardiopulmonary manifestations. Bedside ultrasound helps in the rapid diagnosis of these manifestations. Vscan Extend™ (GE, Wauwatosa, WI, USA) is a handheld ultrasound device with a dual probe and an artificial intelligence application to detect ejection fraction. It can help in reducing the time for diagnosis, duration, and the number of healthcare workers exposed to COVID-19. This is a prospective observational study comparing the cardiorespiratory parameters and time duration for assessment between Vscan Extend™ and the conventional ultrasound machine. MATERIALS AND

methodsPaired observations were made in 96 COVID-19 patients admitted to the intensive care unit by two intensivists. Intensivist A used the Vscan Extend™ device to assess the cardiac function, lung fields, diaphragm, deep veins, and abdomen. Intensivist B used clinical examination, X-ray chest, ECG, and conventional echocardiogram for assessment. The agreement between the findings and the time duration required in both the methods was compared.

resultsThe use of handheld ultrasound has significantly decreased the duration of bedside examination of patients than the conventional method. The median duration of examination using handheld ultrasound was 9 (8.0-11.0) minutes, compared to 20 (17-22) minutes with the conventional method (

conclusionVscan Extend™ helps in the rapid identification and diagnosis of cardiopulmonary manifestations in COVID-19 patients. The agreement between the handheld device and the conventional method proves its efficacy and safety. CTRI NUMBER: CTRI/2020/07/026701. HOW TO CITE THIS ARTICLE: Maheshwarappa HM, Mishra S, Kulkarni AV, Gunaseelan V, Kanchi M. Use of Handheld Ultrasound Device with Artificial Intelligence for Evaluation of Cardiorespiratory System in COVID-19. J Crit Care Med 2021;25(5):524-527.

Indexed as

Artificial intelligenceCOVID-19Critically ill; Handheld ultrasound devicesPoint of careUltrasound

Identifiers

PMID34177171
PMCPMC8196368
OpenAlexW3161591529

What OpenQuestion holds

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LicenceCC BY-NC
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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.