Evidence map›Paper›PMID 37404548›Full record

ReviewPolish journal of radiology2023

Lung ultrasound in a nutshell. Lines, signs, some applications, and misconceptions from a radiologist's point of view.

Piotr Łyźniak, Dominik Świętoń, Zbigniew Serafin, Edyta Szurowska

Abstract readReview
In one paragraph

Review in Polish journal of radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Explainable transfer learning ensemble AI model for lung ultrasound pneumothorax detection with expert benchmark.Scandinavian journal of trauma, resuscitation and emergency medicine · 2026
    Article
  2. Review
  3. 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

4 authors.

Piotr Łyźniak2 Department of Radiology, University Clinical Centre in Gdańsk, Gdańsk, Poland.
Dominik Świętoń2 Department of Radiology, University Clinical Centre in Gdańsk, Gdańsk, Poland.
Zbigniew SerafinDepartment and Chair of Radiology and Imaging Diagnostics, Nicolaus Copernicus University in Toruń, Bydgoszcz, Poland.
Edyta Szurowska2 Department of Radiology, University Clinical Centre in Gdańsk, Gdańsk, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, lung ultrasound (LUS) has developed rapidly, and it is growing in popularity in various scenarios. It has become especially popular among clinicians. There are constant attempts to introduce it in new fields, with quite a strong resistance in the radiological community. In addition, knowledge regarding lung and LUS has been augmented by the recent COVID-19 pandemic. Unfortunately, this has led to many misconceptions. The aim of this review is to discuss lines, signs, and phenomena that can be seen in LUS in order to create a single, easily available compendium for radiologists and promote consistency in LUS nomenclature. Some simplified suggestions are presented.

Indexed as

B-linelineslungLUSsignsultrasound

Identifiers

PMID37404548
PMCPMC10317011

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.