Evidence map›Paper›PMID 32854921›Full record

ArticleClinical radiology2020

Lung ultrasonography in patients with COVID-19: comparison with CT.

S Ottaviani, M Franc, E Ebstein, L Demaria, C Lheure, M P Debray, A Khalil, B Crestani, R Borie, P Dieudé

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Clinical radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
2.3field-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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Point-of-Care Ultrasound Predicts Clinical Outcomes in Patients With COVID-19.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2022
    Article
  5. Article
  6. Lung Ultrasound Findings in Patients Hospitalized With COVID-19.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2022
    Article
  7. Interobserver Agreement of Lung Ultrasound Findings of COVID-19.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2021
    Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Focus on the Potential Role of Lung Ultrasound in COVID-19 Pandemic: What More to Do?International journal of environmental research and public health · 2020
    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

10 authors at 3 institutions in 1 country.

S OttavianiUniversité de Paris, Service de Rhumatologie, Unité Covid-19, Hôpital Bichat, APHP, Paris, France. Electronic address: sebastien.ottaviani@aphp.fr.
M FrancUniversité de Paris, Service de Rhumatologie, Unité Covid-19, Hôpital Bichat, APHP, Paris, France.
E EbsteinUniversité de Paris, Service de Rhumatologie, Unité Covid-19, Hôpital Bichat, APHP, Paris, France.
L DemariaUniversité de Paris, Service de Rhumatologie, Unité Covid-19, Hôpital Bichat, APHP, Paris, France.
C LheureUniversité de Paris, Service de Dermatologie, Unité Covid-19, Hôpital Bichat, APHP, Paris, France.
M P DebrayUniversité de Paris, Service de Radiologie, Hôpital Bichat, APHP, Paris, France.
A KhalilUniversité de Paris, Service de Radiologie, Hôpital Bichat, APHP, Paris, France.
B CrestaniUniversité de Paris, Service de Pneumologie A, Centre de référence des maladies pulmonaires rares, Hôpital Bichat, APHP, Paris, France.
R BorieUniversité de Paris, Service de Pneumologie A, Centre de référence des maladies pulmonaires rares, Hôpital Bichat, APHP, Paris, France.
P DieudéUniversité de Paris, Service de Rhumatologie, Unité Covid-19, Hôpital Bichat, APHP, Paris, France.
Assistance Publique – Hôpitaux de Paris · FRHôpital Bichat-Claude-Bernard · FRUniversité Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo determine whether findings from lung ultrasound and chest high-resolution computed tomography (HRCT) correlate when evaluating COVID-19 pulmonary involvement. MATERIALS AND

methodsThe present prospective single-centre study included consecutive symptomatic patients with reverse transcription polymerase chain reaction (RT-PCR)-proven COVID-19 who were not in the intensive care unit. All patients were assessed using HRCT and ultrasound of the lungs by distinct operators blinded to each other's findings. The number of areas (0-12) with B-lines and/or consolidations was evaluated using ultrasound and compared to the percentage and classification (absent or limited, <10%; moderate, 10-25%; extensive, 25-50%; severe, 50-75%; critical, >75%) of lung involvement on chest HRCT.

resultsData were analysed for 21 patients with COVID-19 (median [range] age 65 [37-90] years, 76% male) and excellent correlation was found between the ultrasound score for B-lines and the classification (p<0.01) and percentage of lung involvement on chest HRCT (r=0.935, p<0.001). In addition, the ultrasound score correlated positively with supplemental oxygen therapy (r=0.45, p=0.041) and negatively with minimal oxygen saturation at ambient air (r=-0.652, p<0.01).

conclusionThe present study suggests that among COVID-19 patients, lung ultrasound and HRCT findings agree in quantifying lung involvement and oxygen parameters. In the context of the COVID-19 pandemic, lung ultrasound could be a relevant alternative to chest HRCT.

Indexed as

AdultAgedAged, 80 and overAge FactorsChi-Square DistributionCohort StudiesCoronavirus InfectionsCOVID-19DNA, ViralFemaleHumansItalyMaleMiddle AgedObserver VariationPandemicsDNA, Viral

Identifiers

PMID32854921
PMCPMC7420062
OpenAlexW3048431378

What OpenQuestion holds

Textmetadata
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.