Evidence map›Paper›PMID 39085969›Full record

ArticleJournal of anesthesia, analgesia and critical care2024

Lung ultrasound among Expert operator'S: ScOring and iNter-rater reliability analysis (LESSON study) a secondary COWS study analysis from ITALUS group.

Enrico Boero, Luna Gargani, Annia Schreiber, Serena Rovida, Giampaolo Martinelli, Salvatore Maurizio Maggiore, Felice Urso, Anna Camporesi, Annarita Tullio, Fiorella Anna Lombardi and 7 more

Abstract read
In one paragraph

Article in Journal of anesthesia, analgesia and critical care, 2024. 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
–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

5 citing papers in PubMed.

  1. Review
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  5. To B or not to B-lines.Journal of anesthesia, analgesia and critical care · 2024
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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

17 authors.

Enrico BoeroDepartment of Anaesthesia and Intensive Care Unit, San Giovanni Bosco Hospital, Turin, Italy.
Luna GarganiDepartment of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy.
Annia SchreiberKeenan Research Centre, Li Ka Shing Knowledge Institute, Unity Health Toronto (St. Michael's Hospital), Toronto, Canada.
Serena RovidaEmergency Department, Barts Health NHS Trust, London, UK.
Giampaolo MartinelliSaint Bartholomew's Hospital, London, UK.
Salvatore Maurizio MaggioreSaint Bartholomew's Hospital, London, UK.
Felice UrsoDepartment of Anaesthesia and Intensive Care Unit, San Giovanni Bosco Hospital, Turin, Italy.
Anna CamporesiDivision of Pediatric Anesthesia and Intensive Care, Buzzi Children's Hospital, Milan, Italy.
Annarita TullioDepartment of Medicine, University of Udine, Udine, Italy.
Fiorella Anna LombardiInstitute of Clinical Physiology, National Research Council, Lecce, Italy.
Gianmaria CammarotaDepartment of Translational Medicine, Università del Piemonte Orientale, Novara, Italy.
Daniele Guerino BiasucciDepartment of Clinical Science and Translational Medicine, Tor Vergata' University of Rome, Rome, Italy.
Elena Giovanna BignamiAnesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Parma, Italy.
Cristian DeanaDepartment of Anaesthesia and Intensive Care, Health Integrated Agency of Friuli Centrale, Udine, Italy.
Giovanni VolpicelliDepartment of Medical and Surgical Science, Magna Graecia University, Catanzaro, Italy.
Sergio LivigniDepartment of Anaesthesia and Intensive Care Unit, San Giovanni Bosco Hospital, Turin, Italy.
Luigi VetrugnoDepartment of Anesthesiology, Critical Care Medicine and Emergency, SS. Annunziata Hospital, Chieti, Italy. luigi.vetrugno@unich.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung ultrasonography (LUS) is a non-invasive imaging method used to diagnose and monitor conditions such as pulmonary edema, pneumonia, and pneumothorax. It is precious where other imaging techniques like CT scan or chest X-rays are of limited access, especially in low- and middle-income countries with reduced resources. Furthermore, LUS reduces radiation exposure and its related blood cancer adverse events, which is particularly relevant in children and young subjects. The score obtained with LUS allows semi-quantification of regional loss of aeration, and it can provide a valuable and reliable assessment of the severity of most respiratory diseases. However, inter-observer reliability of the score has never been systematically assessed. This study aims to assess experienced LUS operators' agreement on a sample of video clips showing predefined findings.

methodsTwenty-five anonymized video clips comprehensively depicting the different values of LUS score were shown to renowned LUS experts blinded to patients' clinical data and the study's aims using an online form. Clips were acquired from five different ultrasound machines. Fleiss-Cohen weighted kappa was used to evaluate experts' agreement.

resultsOver a period of 3 months, 20 experienced operators completed the assessment. Most worked in the ICU (10), ED (6), HDU (2), cardiology ward (1), or obstetric/gynecology department (1). The proportional LUS score mean was 15.3 (SD 1.6). Inter-rater agreement varied: 6 clips had full agreement, 3 had 19 out of 20 raters agreeing, and 3 had 18 agreeing, while the remaining 13 had 17 or fewer people agreeing on the assigned score. Scores 0 and score 3 were more reproducible than scores 1 and 2. Fleiss' Kappa for overall answers was 0.87 (95% CI 0.815-0.931, p < 0.001).

conclusionsThe inter-rater agreement between experienced LUS operators is very high, although not perfect. The strong agreement and the small variance enable us to say that a 20% tolerance around a measured value of a LUS score is a reliable estimate of the patient's true LUS score, resulting in reduced variability in score interpretation and greater confidence in its clinical use.

Indexed as

Intensive careInter-rater variabilityLung sonographyLung ultrasound score

Identifiers

PMID39085969
PMCPMC11293153

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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.