Evidence map›Paper›PMID 32440906›Full record

ArticleCanadian journal of anaesthesia = Journal canadien d'anesthesie2020

A proposed lung ultrasound and phenotypic algorithm for the care of COVID-19 patients with acute respiratory failure.

André Y Denault, Stéphane Delisle, David Canty, Alistair Royse, Colin Royse, Ximena Cid Serra, Caroline E Gebhard, Étienne J Couture, Martin Girard, Yiorgos Alexandros Cavayas and 3 more

Abstract read
In one paragraph

Article in Canadian journal of anaesthesia = Journal canadien d'anesthesie, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Lung Ultrasound in Critical Care: A Narrative Review.Diagnostics (Basel, Switzerland) · 2025
    Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Lung Ultrasound for Identification of Patients Requiring Invasive Mechanical Ventilation in COVID-19.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2021
    Article
  7. Article
  8. Thoracic imaging outcomes in COVID-19 survivors.World journal of radiology · 2021
    Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Emergency Department Management of COVID-19: An Evidence-Based Approach.The western journal of emergency medicine · 2020
    Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. 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

13 authors.

André Y DenaultDivision of Critical Care, Centre Hospitalier de l'Université Montréal, Montreal, QC, Canada. andre.denault@umontreal.ca.ORCID http://orcid.org/0000-0003-0634-6291
Stéphane DelisleDépartement de médecine de famille et médecine d'urgence, Université de Montréal, Montreal, QC, Canada.
David CantyDepartment of Surgery, University of Melbourne, Melbourne, Australia.
Alistair RoyseDepartment of Surgery, University of Melbourne, Melbourne, Australia.
Colin RoyseDepartment of Surgery, University of Melbourne, Melbourne, Australia.
Ximena Cid SerraDepartment of Surgery, University of Melbourne, Melbourne, Australia.
Caroline E GebhardDepartment of Intensive Care Medicine, University Hospital Basel, Basel, Switzerland.
Étienne J CoutureDepartment of Anesthesiology and Department of Medicine, Division of Intensive Care Medicine, Institut Universitaire de Cardiologie et de Pneumologie de Québec, Quebec, QC, Canada.
Martin GirardDepartment of Anesthesiology and Division of Critical Care, Centre Hospitalier de l'Université de Montréal, Montreal, QC, Canada.
Yiorgos Alexandros CavayasDivision of Critical Care, Hôpital Sacré-Coeur de Montréal and Montreal Heart Institute, Université de Montréal, Montreal, QC, Canada.
Nicolas PeschanskiEmergency Department, University of Rennes 1, Rennes, France.
Stéphan LangevinDepartment of Anesthesiology and Department of Medicine, Division of Intensive Care Medicine, Institut Universitaire de Cardiologie et de Pneumologie de Québec, Quebec, QC, Canada.
Paul OuelletDepartment of Surgery, Sherbrooke University, Sherbrooke, QC, Canada.ORCID http://orcid.org/0000-0002-9591-5435

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary complications are the most common clinical manifestations of coronavirus disease (COVID-19). From recent clinical observation, two phenotypes have emerged: a low elastance or L-type and a high elastance or H-type. Clinical presentation, pathophysiology, pulmonary mechanics, radiological and ultrasound findings of these two phenotypes are different. Consequently, the therapeutic approach also varies between the two. We propose a management algorithm that combines the respiratory rate and oxygenation index with bedside lung ultrasound examination and monitoring that could help determine earlier the requirement for intubation and other surveillance of COVID-19 patients with respiratory failure.

Indexed as

UltrasonographyAcute DiseaseAlgorithmsCoronavirus InfectionsCOVID-19HumansLungOxygenPandemicsPhenotypePneumonia, ViralPoint-of-Care SystemsRespiratory InsufficiencyRespiratory RateOxygenand oxygenation indexCOVID-19lung ultrasoundrespiratory failurerespiratory rate

Identifiers

PMID32440906
PMCPMC7241588

What OpenQuestion holds

Textmetadata
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.