Evidence map›Paper›PMID 39311676›Full record

ArticleEuropean journal of rheumatology2024

Ultrasound Evaluation of Interstitial Lung Disease in Rheumatoid Arthritis and Autoimmune Diseases.

Vicente-Rabaneda Esther F, David A Bong, Noemí Busquets-Pérez, Ingrid Möller

Abstract read
In one paragraph

Article in European journal of rheumatology, 2024. 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. Article
  2. Article
  3. 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

4 authors.

Vicente-Rabaneda Esther FDepartment of Rheumatology, Hospital Universitario de la Princesa, Madrid, Spain.
David A BongFaculty of Medicine, University of Barcelona-Bellvitge Campus, Barcelona, Spain.
Noemí Busquets-PérezDepartment of Rheumatology, Hospital de Granollers, Granollers, Barcelona, Spain.
Ingrid MöllerInstituto Poal de Reumatologia, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interpretation of lung ultrasound is the result of the analysis of artifacts rather than exact representations of anatomical structures, which appear when changes in the physical properties of the lung occur. Its application to the study of interstitial lung disease (ILD) associated with autoimmune diseases has aroused great interest in the last 10 years, as evidenced by a growing number of publications studying its usefulness in the diagnostic process, as a prognostic marker and as an aid in monitoring of patients. The main elements in lung ultrasound interpretation in ILD are the B lines and the changes in the pleural line. B lines are vertical artifacts that are generated when there is a partial decrease in the air content of the lung parenchyma and/or the volume of the interstitial area expands. Pleural line alterations that can be seen are irregularities, thickening, fragmentation, or subpleural nodules. Both the B lines and the changes in the pleural line have shown a significant positive correlation with the evidence on chest computed tomography [high resolution computed tomography (HRCT)] of ILD associated with autoimmune diseases, with sensitivity and negative predictive values of up to 100%. These results, together with the safety, accessibility, and low cost of lung ultrasound, support this imaging technique as a promising screening method for optimizing the indication for HRCT. The role of lung ultrasound regarding sensitivity to change needs further investigation with multicenter prospective studies.

Identifiers

PMID39311676
PMCPMC11459615

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.