Evidence map›Paper›PMID 35628846›Full record

ArticleJournal of clinical medicine2022

Lung Aeration in COVID-19 Pneumonia by Ultrasonography and Computed Tomography.

Alexandros Kalkanis, Christophe Schepers, Zafeiris Louvaris, Laurent Godinas, Els Wauters, Dries Testelmans, Natalie Lorent, Pierre Van Mol, Joost Wauters, Walter De Wever and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Review
  5. Review
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

11 authors at 2 institutions in 1 country.

Alexandros KalkanisDepartment of Respiratory Diseases, University Hospitals, Katholieke Universiteit Leuven, 3000 Leuven, Belgium.ORCID 0000-0002-1740-6782
Christophe SchepersDepartment of Radiology, University Hospitals, Katholieke Universiteit Leuven, 3000 Leuven, Belgium.
Zafeiris LouvarisDepartment of Rehabilitation Sciences, Faculty of Movement and Rehabilitation Sciences, Research Group for Rehabilitation in Internal Disorders, Katholieke Universiteit Leuven, 3000 Leuven, Belgium.ORCID 0000-0001-8661-8546
Laurent GodinasDepartment of Respiratory Diseases, University Hospitals, Katholieke Universiteit Leuven, 3000 Leuven, Belgium.
Els WautersDepartment of Respiratory Diseases, University Hospitals, Katholieke Universiteit Leuven, 3000 Leuven, Belgium.ORCID 0000-0002-0115-0030
Dries TestelmansDepartment of Respiratory Diseases, University Hospitals, Katholieke Universiteit Leuven, 3000 Leuven, Belgium.ORCID 0000-0001-7303-9799
Natalie LorentDepartment of Respiratory Diseases, University Hospitals, Katholieke Universiteit Leuven, 3000 Leuven, Belgium.ORCID 0000-0002-2653-5885
Pierre Van MolDepartment of Respiratory Diseases, University Hospitals, Katholieke Universiteit Leuven, 3000 Leuven, Belgium.
Joost WautersDepartment of Internal Medicine, University Hospitals, Katholieke Universiteit Leuven, 3000 Leuven, Belgium.
Walter De WeverDepartment of Radiology, University Hospitals, Katholieke Universiteit Leuven, 3000 Leuven, Belgium.
Christophe DoomsDepartment of Respiratory Diseases, University Hospitals, Katholieke Universiteit Leuven, 3000 Leuven, Belgium.
KU Leuven · BEVIB-KU Leuven Center for Cancer Biology · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We conducted a prospective single-center observational study to determine lung ultrasound reliability in assessing global lung aeration in 38 hospitalized patients with non-critical COVID-19. On admission, fixed chest CT scans using visual (CTv) and software-based (CTs) analyses along with lung ultrasound imaging protocols and scoring systems were applied. The primary endpoint was the correlation between global chest CTs score and global lung ultrasound score. The secondary endpoint was the association between radiographic features and clinical disease classification or laboratory indices of inflammation. Bland−Altman analysis between chest CT scores obtained visually (CTv) or using software (CTs) indicated that only 1 of the 38 paired measures was outside the 95% limits of agreement (−4 to +4 score). Global lung ultrasound score was highly and positively correlated with global software-based CTs score (r = 0.74, CI = 0.55−0.86; p < 0.0001). Significantly higher median CTs score (p = 0.01) and lung ultrasound score (p = 0.02) were found in severe compared to moderate COVID-19. Furthermore, we identified significantly lower (p < 0.05) lung ultrasound and CTs scores in those patients with a more severe clinical condition manifested by SpO2 < 92% and C-reactive protein > 58 mg/L. We concluded that lung ultrasound is a reliable bedside clinical tool to assess global lung aeration in hospitalized non-critical care patients with COVID-19 pneumonia.

Indexed as

computed tomographyCOVID-19 pneumoniaimaginglung ultrasoundradiology

Identifiers

PMID35628846
PMCPMC9144288
OpenAlexW4280559796

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.