Evidence map›Paper›PMID 38009739›Full record

ArticleJournal of veterinary internal medicine

Lung ultrasound score in dogs and cats: A reliability study.

Stefano Oricco, Daniele Medico, Ilaria Tommasi, Richard Marcello Bini, Roberto Rabozzi

Open access · goldAbstract read
In one paragraph

Article in Journal of veterinary internal medicine. 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
2.6field-weighted citation impact, top 10% 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, 12 citations in OpenAlex.

  1. Ultrasonographic Assessment of the Lungs in Asiatic Elephants (Elephas maximus).Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Anaesthesia-induced atelectasis in a rat model (Frontiers in veterinary science · 2025
    Article
  10. Article
  11. 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

5 authors at 3 institutions in 2 countries.

Stefano OriccoCentro Veterinario Imperiese, Imperia, Italy.ORCID https://orcid.org/0000-0001-6515-5060
Daniele MedicoCentro Veterinario Imperiese, Imperia, Italy.ORCID https://orcid.org/0009-0009-7254-7914
Ilaria TommasiCentro Veterinario Imperiese, Imperia, Italy.ORCID https://orcid.org/0009-0006-5390-8516
Richard Marcello BiniCentro Veterinario Imperiese, Imperia, Italy.
Roberto RabozziPoliclinico Veterinario Roma Sud, Roma, Italy.ORCID https://orcid.org/0000-0001-7881-538X
Imperial Valley College · USPoliclinico Casilino · ITUniversity of Parma · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung ultrasound (LUS) is a noninvasive tool for examining respiratory distress patients. The lung ultrasound score (LUSS) can be used to quantify and monitor lung aeration loss with good reliability. HYPOTHESIS/

objectivesAssess the reliability of a new LUSS among raters with different levels of experience and determine how well the same raters agree on identifying patterns of LUS abnormalities. ANIMALS: Forty LUS examinations of dogs and cats and 320 videos were reviewed from a digital database.

methodsRetrospective reliability study with post hoc analysis. Protocolized LUS were randomly selected; intrarater and interrater reliability of the LUSS and pattern recognition agreement among 4 raters with different levels of experience in LUS were tested.

resultsThe intrarater intraclass correlation coefficient (ICC) single measurement, absolute agreement, and 2-way mixed effects model was 0.967 for the high-experience rater (H-Exp), 0.963 and 0.952 for the medium-experience raters (M-Exp-1; M-Exp-2), and 0.950 for the low-experience rater (L-Exp). The interrater ICC average measurement, absolute agreement, and 2-way random effects model among the observers was 0.980. The Fleiss' kappa (k) values showed almost perfect agreement (k = 1) among raters in identifying pleural effusion and translobar tissue-like pattern, strong agreement for A-lines (k = 0.881) and B-lines (k = 0.806), moderate agreement (k = 0.693) for subpleural loss of aeration, and weak agreement (k = 0.474) for irregularities of the pleural line. CONCLUSIONS AND CLINICAL IMPORTANCE: Our results indicate excellent intra- and interrater reliability for LUS scoring and pattern identification, providing a foundation for the use of the LUSS in emergency medicine and intensive care.

Indexed as

Cat DiseasesDog DiseasesAnimalsCatsDogsHumansLungReproducibility of ResultsRetrospective StudiesUltrasonographyagreementlung aerationpattern recognitionpoint-of-care ultrasoundrepeatabilityrespiratory distressthoracic ultrasound

Identifiers

PMID38009739
PMCPMC10800220
OpenAlexW4389070271

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.