Evidence map›Paper›PMID 32488686›Full record

ReviewThe ultrasound journal2020

Role of point-of-care ultrasound during the COVID-19 pandemic: our recommendations in the management of dialytic patients.

Ana Luisa Silveira Vieira, José Muniz Pazeli Júnior, Marcus Gomes Bastos

Open access · goldAbstract readReview
In one paragraph

Review in The ultrasound journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Ana Luisa Silveira VieiraDepartment of Nephrology, Santa Casa de Misericórdia de Barbacena and University of Medicine of Barbacena Department of Point of Care Ultrasound, Minas Gerais, Brazil. analuisasvieira@gmail.com.ORCID http://orcid.org/0000-0001-6390-5091
José Muniz Pazeli JúniorDepartment of Nephrology and Intensive Care Medicine, Santa Casa de Misericórdia de Barbacena and University of Medicine of Barbacena Department of Point of Care Ultrasound, Minas Gerais, Brazil.
Marcus Gomes BastosFederal University of Juiz de Fora, Minas Gerais, Brazil.
Hospital Universitário - Universidade Federal de Juiz de Fora · BRSanta Casa de Misericórdia de Passos · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 is a viral disease due to the infection of the novel Corona virus SARS-CoV-2, that has rapidly spread in many countries until the World Health Organization declared the pandemic from March 11, 2020. Elderly patients and those affected by hypertension, diabetes mellitus, and chronic pulmonary and cardiovascular conditions are more susceptible to present more severe forms of COVID-19. These conditions are often represented in dialytic renal end-stage patients. Moreover, dialysis patients are more vulnerable to infection due to suppression of the immune system. Growing evidences, although still supported by few publications, are showing the potential utility of ultrasound in patients with COVID-19. In this review, we share our experience in using point-of-care ultrasound, particularly lung ultrasound, to indicate the probability of COVID-19 in patients with end-stage renal disease treated by hemodialysis. We also propose recommendations for the application of lung ultrasound, focused echocardiography and inferior vena cava ultrasound in the management of patients in hemodialysis.

Indexed as

COVID-19COVID-19 pandemicDialysisSARS-CoV-2Ultrasound

Identifiers

PMID32488686
PMCPMC7266651
OpenAlexW3032250588

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.