Evidence map›Paper›PMID 33442553›Full record

ArticleERJ open research2020

Diagnosing COVID-19 pneumonia in a pandemic setting: Lung Ultrasound

Arthur W E Lieveld, Bram Kok, Frederik H Schuit, Kaoutar Azijli, Jarom Heijmans, Arjan van Laarhoven, Natascha L Assman, Ruud S Kootte, Tycho J Olgers, Prabath W B Nanayakkara and 1 more

Abstract read
In one paragraph

Article in ERJ open research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 3 pooled it
–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

38 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Thoracic imaging tests for the diagnosis of COVID-19.The Cochrane database of systematic reviews · 2022
    Pooled it
  3. Pooled it
  4. Observational
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  18. Lung Ultrasound in Patients With SARS-COV-2 Pneumonia: Correlations With Chest Computed Tomography, Respiratory Impairment, and Inflammatory Cascade.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2022
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Arthur W E LieveldSection General and Acute Internal Medicine, Dept of Internal Medicine, Amsterdam Public Health Research Institute, Amsterdam UMC, location VUmc, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-1930-6873
Bram KokSection Acute Medicine, Dept of Internal Medicine, Radboudumc, Nijmegen, The Netherlands.
Frederik H SchuitSection General and Acute Internal Medicine, Dept of Internal Medicine, Amsterdam Public Health Research Institute, Amsterdam UMC, location VUmc, Amsterdam, The Netherlands.
Kaoutar AzijliSection Emergency Medicine, Emergency Dept, Amsterdam Public Health Research Institute, Amsterdam UMC, location VUmc, Amsterdam, The Netherlands.
Jarom HeijmansSection Acute Medicine, Dept of Internal Medicine, Amsterdam UMC, location AMC, Amsterdam, The Netherlands.
Arjan van LaarhovenSection Acute Medicine, Dept of Internal Medicine, Radboudumc, Nijmegen, The Netherlands.
Natascha L AssmanSection Acute Medicine, Dept of Internal Medicine, Radboudumc, Nijmegen, The Netherlands.
Ruud S KootteSection Acute Medicine, Dept of Internal Medicine, Amsterdam UMC, location AMC, Amsterdam, The Netherlands.
Tycho J OlgersSection Acute Medicine, Dept of Internal Medicine, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Prabath W B NanayakkaraSection General and Acute Internal Medicine, Dept of Internal Medicine, Amsterdam Public Health Research Institute, Amsterdam UMC, location VUmc, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-1555-3682
Frank H BoschSection Acute Medicine, Dept of Internal Medicine, Radboudumc, Nijmegen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn this coronavirus disease 2019 (COVID-19) pandemic, fast and accurate testing is needed to profile patients at the emergency department (ED) and efficiently allocate resources. Chest imaging has been considered in COVID-19 workup, but evidence on lung ultrasound (LUS) is sparse. We therefore aimed to assess and compare the diagnostic accuracy of LUS and computed tomography (CT) in suspected COVID-19 patients.

methodsThis multicentre, prospective, observational study included adult patients with suspected COVID-19 referred to internal medicine at the ED. We calculated diagnostic accuracy measures for LUS and CT using both PCR and multidisciplinary team (MDT) diagnosis as reference. We also assessed agreement between LUS and CT, and between sonographers.

resultsOne hundred and eighty-seven patients were recruited between March 19 and May 4, 2020. Area under the receiver operating characteristic (AUROC) was 0.81 (95% CI 0.75-0.88) for LUS and 0.89 (95% CI 0.84-0.94) for CT. Sensitivity and specificity for LUS were 91.9% (95% CI 84.0-96.7) and 71.0% (95% CI 61.1-79.6), respectively,

conclusionLUS and CT have comparable diagnostic accuracy for COVID-19 pneumonia. LUS can safely exclude clinically relevant COVID-19 pneumonia and may aid COVID-19 diagnosis in high prevalence situations.

Identifiers

PMID33442553
PMCPMC7569754

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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.