Evidence map›Paper›PMID 38603205›Full record

ArticleJournal of diagnostic medical sonography : JDMS

Lung Ultrasound and High-Resolution Computed Tomography in Suspected COVID-19 Patients Admitted to the Emergency Department: A Comparison.

Soccorsa Sofia, Paolo Orlandi, Vincenzo Bua, Michele Imbriani, Laura Cecilioni, Alessandra Caruso, Cosima Schiavone, Andrea Boccatonda, Antonella Cianci, Michele Domenico Spampinato

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In one paragraph

Article in Journal of diagnostic medical sonography : JDMS. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 52% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 2 institutions in 1 country.

Soccorsa SofiaDepartment of Emergency, Azienda USL di Bologna, Bologna, Italy.
Paolo OrlandiRadiology Department, Azienda USL di Bologna, Bologna, Italy.
Vincenzo BuaDepartment of Emergency, Azienda USL di Bologna, Bologna, Italy.
Michele ImbrianiRadiology Department, Azienda USL di Bologna, Bologna, Italy.
Laura CecilioniDepartment of Emergency, Azienda USL di Bologna, Bologna, Italy.
Alessandra CarusoDepartment of Emergency, Azienda USL di Bologna, Bologna, Italy.
Cosima SchiavoneInternistic Ultrasound Unit, "S. S. Annunziata" Hospital, "G. d'Annunzio" University, Chieti, Italy.
Andrea BoccatondaInternal Medicine, Internal and Vascular Ultrasound Centre of Bentivoglio Hospital, Azienda USL di Bologna, Bologna, Italy.
Antonella CianciSchool of Emergency Medicine, Department of Translational Medicine, University of Ferrara, Ferrara, Italy.
Michele Domenico SpampinatoSchool of Emergency Medicine, Department of Translational Medicine, University of Ferrara, Ferrara, Italy.ORCID https://orcid.org/0000-0002-2285-327X
Azienda USL di Bologna · ITUniversity of Ferrara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze the diagnostic accuracy of lung ultrasonography (LUS) and high-resolution computed tomography (HRCT), to detect COVID-19. Materials and Methods: This study recruited all patients admitted to the emergency medicine unit, due to a suspected COVID-19 infection, during the first wave of the COVID-19 pandemic. These patients also who underwent a standardized LUS examination and a chest HRCT. The signs detected by both LUS and HRCT were reported, as well as the sensitivity, specificity, positive predictive value, and negative predictive value for LUS and HRCT. Results: This cohort included 159 patients, 101 (63%) were diagnosed with COVID-19. COVID-19 patients showed more often confluent subpleural consolidations and parenchymal consolidations in lower lung regions of LUS. They also had "ground glass" opacities and "crazy paving" on HRCT, while pleural effusion and pulmonary consolidations were more common in non-COVID-19 patients. LUS had a sensitivity of 0.97 (95% CI 0.92-0.99) and a specificity of 0.24 (95% CI 0.07-0.5) for COVID-19 lung infections. HRCT abnormalities resulted in a 0.98 sensitivity (95% CI 0.92-0.99) and 0.1 specificity (95% CI 0.04-0.23) for COVID-19 lung infections. Conclusion: In this cohort, LUS proved to be a noninvasive, diagnostic tool with high sensitivity for lung abnormalities that were likewise detected by HRCT. Furthermore, LUS, despite its lower specificity, has a high sensitivity for COVID-19, which could prove to be as effective as HRCT in excluding a COVID-19 lung infection.

Indexed as

COVID-19lung diseaseslung infiltrateslung ultrasonography

Identifiers

PMID38603205
PMCPMC9892814
OpenAlexW4318456988

What OpenQuestion holds

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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.