Evidence map›Paper›PMID 33091835›Full record

ArticleEuropean journal of radiology2020

Comparison of admission chest computed tomography and lung ultrasound performance for diagnosis of COVID-19 pneumonia in populations with different disease prevalence.

Davide Colombi, Marcello Petrini, Gabriele Maffi, Gabriele D Villani, Flavio C Bodini, Nicola Morelli, Gianluca Milanese, Mario Silva, Nicola Sverzellati, Emanuele Michieletti

Abstract readComparative Study
In one paragraph

Article in European journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
–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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Thoracic imaging tests for the diagnosis of COVID-19.The Cochrane database of systematic reviews · 2022
    Pooled it
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  16. An outlook on coronavirus disease 2019 detection methods.Journal of pharmaceutical analysis · 2022
    Review
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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

10 authors.

Davide ColombiDepartment of Radiological Functions, Radiology Unit, "Guglielmo da Saliceto" Hospital, Piacenza, Italy. Electronic address: D.Colombi@ausl.pc.it.
Marcello PetriniDepartment of Radiological Functions, Radiology Unit, "Guglielmo da Saliceto" Hospital, Piacenza, Italy.
Gabriele MaffiDepartment of Radiological Functions, Radiology Unit, "Guglielmo da Saliceto" Hospital, Piacenza, Italy.
Gabriele D VillaniDepartment of Radiological Functions, Radiology Unit, "Guglielmo da Saliceto" Hospital, Piacenza, Italy.
Flavio C BodiniDepartment of Radiological Functions, Radiology Unit, "Guglielmo da Saliceto" Hospital, Piacenza, Italy.
Nicola MorelliDepartment of Radiological Functions, Radiology Unit, "Guglielmo da Saliceto" Hospital, Piacenza, Italy.
Gianluca MilaneseDepartment of Medicine and Surgery (DiMeC), Unit "Scienze Radiologiche", University of Parma, Parma, Italy.
Mario SilvaDepartment of Medicine and Surgery (DiMeC), Unit "Scienze Radiologiche", University of Parma, Parma, Italy.
Nicola SverzellatiDepartment of Medicine and Surgery (DiMeC), Unit "Scienze Radiologiche", University of Parma, Parma, Italy.
Emanuele MichielettiDepartment of Radiological Functions, Radiology Unit, "Guglielmo da Saliceto" Hospital, Piacenza, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeChest computed tomography (CT) is considered a reliable imaging tool for COVID-19 pneumonia diagnosis, while lung ultrasound (LUS) has emerged as a potential alternative to characterize lung involvement. The aim of the study was to compare diagnostic performance of admission chest CT and LUS for the diagnosis of COVID-19.

methodsWe included patients admitted to emergency department between February 21-March 6, 2020 (high prevalence group, HP) and between March 30-April 13, 2020 (moderate prevalence group, MP) undergoing LUS and chest CT within 12 h. Chest CT was considered positive in case of "indeterminate"/"typical" pattern for COVID-19 by RSNA classification system. At LUS, thickened pleural line with ≥ three B-lines at least in one zone of the 12 explored was considered positive. Sensitivity, specificity, PPV, NPV, and AUC were calculated for CT and LUS against real-time reverse transcriptase polymerase chain reaction (RT-PCR) and serology as reference standard.

resultsThe study included 486 patients (males 61 %; median age, 70 years): 247 patients in HP (COVID-19 prevalence 94 %) and 239 patients in MP (COVID-19 prevalence 45 %). In HP and MP respectively, sensitivity, specificity, PPV, and NPV were 90-95 %, 43-69 %, 96-72 %, 20-95 % for CT and 94-93 %, 7-31 %, 94-52 %, 7-83 % for LUS. CT demonstrated better performance than LUS in diagnosis of COVID-19, both in HP (AUC 0.75 vs 0.51; P < 0.001) and MP (AUC 0.85 vs 0.62; P < 0.001).

conclusionsAdmission chest CT shows better performance than LUS for COVID-19 diagnosis, at varying disease prevalence. LUS is highly sensitive, but not specific for COVID-19.

Indexed as

AgedCohort StudiesCOVID-19FemaleHumansLungMaleMiddle AgedPandemicsPrevalenceReproducibility of ResultsRetrospective StudiesSensitivity and SpecificityTomography, X-Ray ComputedUltrasonographyComputed tomographyCOVID-19Diagnostic ultrasoundSpiral

Identifiers

PMID33091835
PMCPMC7543736

What OpenQuestion holds

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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.