Evidence map›Paper›PMID 35921882›Full record

ArticleChest2023

Feasibility of a New Lung Ultrasound Protocol to Determine the Extent of Lung Injury in COVID-19 Pneumonia.

Giovanni Volpicelli, Thomas Fraccalini, Luciano Cardinale, Giuseppe Stranieri, Rouslan Senkeev, Guido Maggiani, Alberto Pacielli, Domenico Basile

Open access · greenAbstract read
In one paragraph

Article in Chest, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Quantify or Diagnose Acute Respiratory Distress Syndrome by Lung Ultrasound.American journal of respiratory and critical care medicine · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Giovanni VolpicelliDepartment of Emergency Medicine, San Luigi Gonzaga University Hospital, Torino, Italy. Electronic address: giovi.volpicelli@gmail.com.
Thomas FraccaliniDepartment of Emergency Medicine, San Luigi Gonzaga University Hospital, Torino, Italy.
Luciano CardinaleDepartment of Oncology, Radiology Unit, San Luigi Gonzaga University Hospital, Torino, Italy.
Giuseppe StranieriDepartment of Oncology, Radiology Unit, San Luigi Gonzaga University Hospital, Torino, Italy.
Rouslan SenkeevDepartment of Oncology, Radiology Unit, San Luigi Gonzaga University Hospital, Torino, Italy.
Guido MaggianiDepartment of Medical Sciences, Section of Geriatrics, Città della Salute e della Scienza University Hospital, Torino, Italy.
Alberto PacielliDepartment of Oncology, Radiology Unit, San Luigi Gonzaga University Hospital, Torino, Italy.
Domenico BasileDepartment of Oncology, Radiology Unit, San Luigi Gonzaga University Hospital, Torino, Italy.
Ospedale San Luigi Gonzaga · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung ultrasound (LUS) scanning is useful to diagnose and assess the severity of pulmonary lesions during COVID-19-related ARDS (CoARDS). A conventional LUS score is proposed to measure the loss of aeration during CoARDS. However, this score was validated during the pre-COVID-19 era in patients with ARDS in the ICU and does not consider the differences with CoARDS. An alternative LUS method is based on grading the percentage of extension of the typical signs of COVID-19 pneumonia on the lung surface (LUSext). RESEARCH QUESTION: Is LUSext feasible in patients with COVID-19 at the onset of disease, and does it correlate with the volumetric measure of severity of COVID-19 pneumonia lesions at CT scan (CTvol)? STUDY DESIGN AND

methodsThis observational study enrolled a convenience sampling of patients in the ED with confirmed COVID-19 whose condition demonstrated pneumonia at bedside LUS and CT scan. LUSext was visually quantified. All CT scan studies were analyzed retrospectively by a specifically designed software to calculate the CTvol. The correlation between LUSext and CTvol, and the correlations of each score with Pao

resultsWe analyzed data from 179 patients. Feasibility of LUSext was 100%. Time to perform LUS scan was 5 ± 1.5 mins. LUSext and CTvol were correlated positively (R = 0.67; P < .0001). Both LUSext and CTvol showed negative correlation with Pao

interpretationLUSext is a valid measure of the severity of the lesions when compared with the CT scan. Not only are LUSext and CTvol correlated, but they also have similar inverse correlation with the severity of respiratory failure. LUSext is a practical and simple bedside measure of the severity of pneumonia in CoARDS, whose clinical and prognostic impact need to be investigated further.

Indexed as

COVID-19Lung InjuryRespiratory Distress SyndromeFeasibility StudiesHumansLungObservational Studies as TopicRetrospective StudiesUltrasonographyARDSCOVID-19 pneumoniaCT volumetryinterstitial pneumonialung ultrasoundlung ultrasound scoring

Identifiers

PMID35921882
PMCPMC9339094
OpenAlexW4288926152

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.