Evidence map›Paper›PMID 34855187›Full record

ArticleJournal of ultrasound2022

The Impact of Different Lung Ultrasound Protocols in the Assessment of Lung Lesions in COVID-19 Patients: Is There an Ideal Lung Ultrasound Protocol?

Yale Tung-Chen, Silvia Ossaba-Vélez, Kevin Stephen Acosta Velásquez, Maria Luz Parra-Gordo, Aurea Díez-Tascón, Tomás Villén-Villegas, Esther Montero-Hernández, Andrea Gutiérrez-Villanueva, Ángela Trueba-Vicente, Isabel Arenas-Berenguer and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of ultrasound, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  4. Review
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  8. Thoracic UltrasONOgraphy Reporting: The TUONO Consensus.Diagnostics (Basel, Switzerland) · 2023
    Article
  9. Article
  10. Observational
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

11 authors at 4 institutions in 1 country.

Yale Tung-ChenDepartment of Internal Medicine, Hospital Universitario Puerta de Hierro, Majadahonda, Madrid, Spain. yale.tung@salud.madrid.org.ORCID http://orcid.org/0000-0002-5613-3609
Silvia Ossaba-VélezDepartment of Emergency Radiology, Hospital Universitario de La Paz, Madrid, Spain.
Kevin Stephen Acosta VelásquezDepartment of Emergency Radiology, Hospital Universitario de La Paz, Madrid, Spain.
Maria Luz Parra-GordoDepartment of Emergency Radiology, Hospital Universitario de La Paz, Madrid, Spain.
Aurea Díez-TascónDepartment of Emergency Radiology, Hospital Universitario de La Paz, Madrid, Spain.
Tomás Villén-VillegasFacultad de Medicina, Universidad Francisco de Vitoria, Madrid, Spain.
Esther Montero-HernándezDepartment of Internal Medicine, Hospital Universitario Puerta de Hierro, Majadahonda, Madrid, Spain.
Andrea Gutiérrez-VillanuevaDepartment of Internal Medicine, Hospital Universitario Puerta de Hierro, Majadahonda, Madrid, Spain.
Ángela Trueba-VicenteDepartment of Emergency Medicine, Hospital Universitario Ramón y Cajal, Madrid, Spain.
Isabel Arenas-BerenguerDepartment of Emergency Medicine, Hospital Universitario La Paz, Madrid, Spain.
Milagros Martí de GraciaDepartment of Emergency Radiology, Hospital Universitario de La Paz, Madrid, Spain.
Hospital Universitario La Paz · ESHospital Universitario Puerta de Hierro Majadahonda · ESHospital Universitario Ramón y Cajal · ESUniversidad Francisco de Vitoria · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the past months, several lung ultrasonography (LUS) protocols have been proposed, mainly on previously validated schemes independent of coronavirus disease 2019 (COVID-19).

objectivesThe main purpose of this study was to determine the impact and accuracy of different LUS protocols proposed in COVID-19.

methodsPatients were evaluated with a standard sequence of LUS scans in 72 intercostal spaces along 14 anatomic lines in the chest. A scoring system of LUS findings was reported and then analyzed separately according to each proposed LUS protocol zones. This score was then correlated to a validated Pulmonary Inflammation Index (PII) on chest Computed Tomography (CT).

resultsThirty-two patients were enrolled. The most frequent pattern was ground-glass opacities in the chest X-ray (53.1%), chest CT (59.1%) and subpleural or lobar consolidations (40.8%) in the posteroinferior areas (p < 0.001) on LUS. The Interclass Correlation Coefficient (ICC) was significantly correlated with almost every protocol analyzed except the 8-zone (p = 0.119) and the 10-zone protocol that only included one posterior point (p = 0.052). The highest ICC was obtained with a 12-zone protocol (ICC 0.500; p = 0.027) and decreased as more points were included.

conclusionsIn conclusion, our study results suggest that performing an ultrasound protocol with 12-zone scanning, including the superior and inferior areas of the anterior, lateral and posterior regions of the chest was consistent with higher ICC and higher degree of concordance with CT. We emphasize the need of a more standardization technique to further implement and develop this imaging modality in COVID-19.

Indexed as

COVID-19HumansLungSARS-CoV-2Tomography, X-Ray ComputedUltrasonographyCoronavirus disease 2019 (COVID-19)Lung ultrasonography (LUS)Point-of-care ultrasonography (POCUS)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)

Identifiers

PMID34855187
PMCPMC8638638
OpenAlexW3216838965

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.