Evidence map›Paper›PMID 32275766›Full record

ReviewAnaesthesia2020

Point-of-care lung ultrasound in patients with COVID-19 - a narrative review.

M J Smith, S A Hayward, S M Innes, A S C Miller

Registry-linked trialOpen access · hybridAbstract readReview
In one paragraph

Review in Anaesthesia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04689672 (Predictivity of hEmoGasAnalysis Associated to Bedside Lung UltraSound in Determining COVID-19 Severity in the Emergency Departement), which is not on this map. Cited by 198 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
198citing papers in PubMed, 3 pooled it
34.0field-weighted citation impact, top 1% 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.

NCT04689672 unknown statusnot on this map

Predictivity of hEmoGasAnalysis Associated to Bedside Lung UltraSound in Determining COVID-19 Severity in the Emergency Departement

TypeobservationalSponsorIRCCS San RaffaeleRan2020 to 2021Enrolled600ConditionsCovid19ArmsLung ultrasound
3 · Its place in the literature

Who cites it

198 citing papers in PubMed, 3 syntheses or guidelines pooled it, 322 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Trial
  5. Article
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  8. Observational
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  12. Lung Ultrasound in Critical Care: A Narrative Review.Diagnostics (Basel, Switzerland) · 2025
    Review
  13. Article
  14. Review
  15. Article
  16. Review
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  18. Review
  19. Article
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138 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 4 institutions in 1 country.

M J SmithSchool of Healthcare Sciences, College of Biomedical and Life Sciences, Cardiff University, Cardiff, UK.
S A HaywardBlackpool Teaching Hospitals NHS Foundation Trust, Blackpool, UK.
S M InnesSchool of Sport, Rehabilitation and Exercise Sciences, University of Essex, UK.
A S C MillerDepartment of Intensive Care Medicine Shrewsbury, Telford Hospitals, Telford, UK.
Blackpool Teaching Hospitals NHS Foundation Trust · GBCardiff University · GBShrewsbury and Telford Hospital NHS Trust · GBUniversity of Essex · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ultrasound imaging of the lung and associated tissues may play an important role in the management of patients with COVID-19-associated lung injury. Compared with other monitoring modalities, such as auscultation or radiographic imaging, we argue lung ultrasound has high diagnostic accuracy, is ergonomically favourable and has fewer infection control implications. By informing the initiation, escalation, titration and weaning of respiratory support, lung ultrasound can be integrated into COVID-19 care pathways for patients with respiratory failure. Given the unprecedented pressure on healthcare services currently, supporting and educating clinicians is a key enabler of the wider implementation of lung ultrasound. This narrative review provides a summary of evidence and clinical guidance for the use and interpretation of lung ultrasound for patients with moderate, severe and critical COVID-19-associated lung injury. Mechanisms by which the potential lung ultrasound workforce can be deployed are explored, including a pragmatic approach to training, governance, imaging, interpretation of images and implementation of lung ultrasound into routine clinical practice.

Indexed as

BetacoronavirusPoint-of-Care SystemsClinical CompetenceCoronavirus InfectionsCOVID-19HumansInservice TrainingLungPandemicsPneumonia, ViralSARS-CoV-2UltrasonographyCOVID-19lung ultrasoundpoint-of-care ultrasoundtrainingworkforce

Identifiers

PMID32275766
PMCPMC7262296
OpenAlexW3015453652

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.