Evidence map›Paper›PMID 34088531›Full record

ArticleUltrasound in medicine & biology2021

Lung Ultrasound Can Predict the Clinical Course and Severity of COVID-19 Disease.

Cecilia Gómez Ravetti, Paula Frizera Vassallo, Guilherme Monteiro de Barros, Guilherme Carvalho Rocha, Samuel Chamon, Isabela Nascimento Borges, Carolina Coimbra Marinho, Máderson Alvares de Souza Cabral, Helena Duani, Marcus Vinícius Melo de Andrade and 2 more

Abstract read
In one paragraph

Article in Ultrasound in medicine & biology, 2021. 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
–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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Rapid 8-Zone Lung Ultrasound Protocol is Comparable to a Full 12-Zone Protocol for Outcome Prediction in Hospitalized COVID-19 Patients.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2022
    Article
  6. Article
  7. 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

12 authors.

Cecilia Gómez RavettiDepartment of Internal Medicine, School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil. Electronic address: ceciliag.ravetti@gmail.com.
Paula Frizera VassalloHospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Guilherme Monteiro de BarrosEmpresa Brasileira de Serviços Hospitalares, Belo Horizonte, Brazil; Postgraduate Program in Health Sciences, Infectious Diseases and Tropical Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Guilherme Carvalho RochaDepartment of Internal Medicine, School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Samuel ChamonDepartment of Internal Medicine, School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Isabela Nascimento BorgesDepartment of Internal Medicine, School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Carolina Coimbra MarinhoDepartment of Internal Medicine, School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Máderson Alvares de Souza CabralPostgraduate Program in Health Sciences, Infectious Diseases and Tropical Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Helena DuaniDepartment of Internal Medicine, School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Marcus Vinícius Melo de AndradeDepartment of Internal Medicine, School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Vandack NobrePostgraduate Program in Health Sciences, Infectious Diseases and Tropical Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Núcleo de Investigação em Medicina Intensiva (NIIMI)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) compromises the lung in large numbers of people. The development of minimally invasive methods to determine the severity of pulmonary extension is desired. This study aimed to describe the characteristics of sequential lung ultrasound and to test the prognostic usefulness of this exam in a group of patients admitted to the hospital with COVID-19. We prospectively evaluated patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection admitted to our hospital between April and August 2020. Bedside lung ultrasound exams were performed at three time points: at inclusion in the study, after 48 h and on the seventh day of follow-up. Lung ultrasound scores were quantified according to the aeration loss in each of eight zones scanned. Sixty-six participants were included: 42 (63.6%) in the intensive care unit and 24 (36.3%) in the ward. Lung ultrasound scores were higher in participants admitted to the intensive care unit than in those admitted to the ward at the time of inclusion (16 [13-17] vs. 10 [4-14], p < 0.001), after 48 h (15.5 [13-17] vs. 12.5 [8.2-14.7], p = 0.001) and on the seventh day (16 [14-17] vs. 7 [4.5-13.7], p < 0.001) respectively. Lung ultrasound score measured at the time of inclusion in the study was independently associated with the need for admission to the intensive care unit (odds ratio = 1.480; 95% confidence interval, 1.093-2.004; p = 0.011) adjusted by the Sequential Organ Failure Assessment score.

Indexed as

SARS-CoV-2AgedBrazilCOVID-19FemaleHumansLungMaleMiddle AgedPredictive Value of TestsPrognosisSeverity of Illness IndexUltrasonographyCOVID-19Intensive careLung ultrasoundSARS-CoV-2

Identifiers

PMID34088531
PMCPMC8092622

What OpenQuestion holds

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Registered trials

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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.