Evidence map›Paper›PMID 33743018›Full record

Observational studyIntensive care medicine2021

Lung ultrasound for the early diagnosis of COVID-19 pneumonia: an international multicenter study.

Giovanni Volpicelli, Luna Gargani, Stefano Perlini, Stefano Spinelli, Greta Barbieri, Antonella Lanotte, Gonzalo García Casasola, Ramon Nogué-Bou, Alessandro Lamorte, Eustachio Agricola and 29 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Intensive care medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed, 1 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

105 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Lung Ultrasound in Critical Care: A Narrative Review.Diagnostics (Basel, Switzerland) · 2025
    Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
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45 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

39 authors.

Giovanni Volpicelli *Department of Emergency Medicine, San Luigi Gonzaga University Hospital, Regione Gonzole 10, Orbassano, 10024, Turin, Italy. giovi.volpicelli@gmail.com.ORCID http://orcid.org/0000-0003-1000-6054
Luna Gargani *Institute of Clinical Physiology, National Research Council, Via Moruzzi 1, 56124, Pisa, Italy. gargani@ifc.cnr.it.ORCID http://orcid.org/0000-0002-0716-453X
Stefano PerliniEmergency Department, Department of Internal Medicine, IRCCS Policlinico San Matteo Foundation, University of Pavia, Pavia, Italy.
Stefano SpinelliEmergency Medicine Department, University of Pisa, Pisa, Italy.
Greta BarbieriEmergency Medicine Department, University of Pisa, Pisa, Italy.
Antonella LanotteEmergency Department, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Gonzalo García CasasolaInternal Medicine Service, Infanta Cristina University Hospital, Madrid, Spain.
Ramon Nogué-BouUniversity Hospital, Lleida, Spain.
Alessandro LamorteEmergency Department Parini Hospital, Aosta, Italy.
Eustachio AgricolaVita-Salute University, San Raffaele, Milan, Italy.
Tomas VillénFrancisco de Vitoria University Hospital, Madrid, Spain.
Paramjeet Singh DeolChelsea and Westminster Hospital, London, UK.
Peiman NazerianDepartment of Emergency Medicine, Careggi University Hospital, Florence, Italy.
Francesco CorradiDepartment of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy.
Valerio StefanoneFerrero Hospital, Verduno, Italy.
Denise Nicole FragaCarolinas Medical Center, Atrium Health, Charlotte, USA.
Paolo NavalesiIntensive Care Unit Department, University of Padova, Padova, Italy.
Robinson FerreDepartment of Emergency Medicine, Indiana University, Indianapolis, Indiana, USA.
Enrico BoeroSan Giovanni Bosco Hospital, Turin, Italy.
Giampaolo MartinelliSaint Bartholomew's Hospital, London, UK.
Lorenzo CristoniFrimley Health Foundation Trust, Frimley, UK.
Cristiano PeraniEmergency Department, Spedali Civili Hospital, Brescia, Italy.
Luigi VetrugnoDepartment of Medicine, University Hospital of Udine, Udine, Italy.
Cian McDermottMater University Hospital, Dublin, Republic of Ireland.
Francisco Miralles-AguiarAnesthesiology Service, University Hospital of Puerta del Mar, Cadiz, Spain.
Gianmarco SeccoEmergency Department, Department of Internal Medicine, IRCCS Policlinico San Matteo Foundation, University of Pavia, Pavia, Italy.
Caterina ZatteraEmergency Department, Department of Internal Medicine, IRCCS Policlinico San Matteo Foundation, University of Pavia, Pavia, Italy.
Francesco SalinaroEmergency Department, Department of Internal Medicine, IRCCS Policlinico San Matteo Foundation, University of Pavia, Pavia, Italy.
Alice GrignaschiEmergency Department, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Andrea BoccatondaEmergency Department, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Fabrizio GiostraEmergency Department, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Marta Nogué InfanteUniversity Hospital, Lleida, Spain.
Michele CovellaEmergency Department Parini Hospital, Aosta, Italy.
Giacomo IngallinaCardiovascular Imaging Unit, San Raffaele Hospital, Milan, Italy.
Julia BurkertChelsea and Westminster Hospital, London, UK.
Paolo FrumentoDepartment of Political Sciences, University of Pisa, Pisa, Italy.
Francesco ForforiDepartment of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy.
Lorenzo GhiadoniEmergency Medicine Department, University of Pisa, Pisa, Italy.
on behalf of the International Multicenter Study Group on LUS in COVID-19

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo analyze the application of a lung ultrasound (LUS)-based diagnostic approach to patients suspected of COVID-19, combining the LUS likelihood of COVID-19 pneumonia with patient's symptoms and clinical history.

methodsThis is an international multicenter observational study in 20 US and European hospitals. Patients suspected of COVID-19 were tested with reverse transcription-polymerase chain reaction (RT-PCR) swab test and had an LUS examination. We identified three clinical phenotypes based on pre-existing chronic diseases (mixed phenotype), and on the presence (severe phenotype) or absence (mild phenotype) of signs and/or symptoms of respiratory failure at presentation. We defined the LUS likelihood of COVID-19 pneumonia according to four different patterns: high (HighLUS), intermediate (IntLUS), alternative (AltLUS), and low (LowLUS) probability. The combination of patterns and phenotypes with RT-PCR results was described and analyzed.

resultsWe studied 1462 patients, classified in mild (n = 400), severe (n = 727), and mixed (n = 335) phenotypes. HighLUS and IntLUS showed an overall sensitivity of 90.2% (95% CI 88.23-91.97%) in identifying patients with positive RT-PCR, with higher values in the mixed (94.7%) and severe phenotype (97.1%), and even higher in those patients with objective respiratory failure (99.3%). The HighLUS showed a specificity of 88.8% (CI 85.55-91.65%) that was higher in the mild phenotype (94.4%; CI 90.0-97.0%). At multivariate analysis, the HighLUS was a strong independent predictor of RT-PCR positivity (odds ratio 4.2, confidence interval 2.6-6.7, p < 0.0001).

conclusionCombining LUS patterns of probability with clinical phenotypes at presentation can rapidly identify those patients with or without COVID-19 pneumonia at bedside. This approach could support and expedite patients' management during a pandemic surge.

Indexed as

UltrasonographyAdultAgedCOVID-19Early DiagnosisHumansLungMiddle AgedCOVID-19Interstitial pneumoniaLung ultrasoundSARS-CoV-2

Identifiers

PMID33743018
PMCPMC7980130

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.