Observational studyRespiration; international review of thoracic diseases2020
Lung Ultrasound in COVID-19 Pneumonia: Correlations with Chest CT on Hospital admission.
Observational study in Respiration; international review of thoracic diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05279378 (Correlation of Lung Ultrasonography With Chest CT Findings in Cancer Patients With COVID-19 Viral Pneumonia, an Observational Study), which is not on this map. Cited by 75 papers, 7 of them syntheses that pooled it.
What it found
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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.
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.
Correlation of Lung Ultrasonography With Chest CT Findings in Cancer Patients With COVID-19 Viral Pneumonia, an Observational Study
Who cites it
75 citing papers in PubMed, 7 syntheses or guidelines pooled it, 125 citations in OpenAlex.
- Lung ultrasound score severity cut-off points in COVID-19 pneumonia. A systematic review and validating cohort.Medicina clinica · 2023Pooled it
- Ultrasound findings of lung ultrasonography in COVID-19: A systematic review.European journal of radiology · 2022Pooled it
- Epidemiological assessment of the first COVID-19 epidemic wave in Lombardy. A systematic review.Acta bio-medica : Atenei Parmensis · 2021Pooled it
- Pulmonary Ultrasound in the Diagnosis and Monitoring of Coronavirus Disease (COVID-19): A Systematic Review.Ultrasound in medicine & biology · 2021Pooled it
- Echocardiography, lung ultrasound, and cardiac magnetic resonance findings in COVID-19: A systematic review.Echocardiography (Mount Kisco, N.Y.) · 2021Pooled it
- Association of Lung Ultrasound Score with Mortality and Severity of COVID-19: A Meta-Analysis and Trial Sequential Analysis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021Pooled it
- Pooled it
- Integrated Lung, Diaphragm and Lower Limb Muscular Ultrasound: Clinical Correlations in Geriatric Patients with Acute Respiratory Illness.Diagnostics (Basel, Switzerland) · 2025Article
- Pulmonary ultrasound in COVID-19 and non-COVID-19 pneumonia in South Africa: An observational study.African journal of thoracic and critical care medicine · 2025Article
- Relationship of lung ultrasound score with oxygenation and pulmonary mechanics in mechanically ventilated patients: An observational study.Indian journal of anaesthesia · 2024Article
- Diaphragm Ultrasound in Different Clinical Scenarios: A Review with a Focus on Older Patients.Geriatrics (Basel, Switzerland) · 2024Review
- Non-Invasive Ventilation Support during Hospitalization for SARS-CoV-2 and the Risk of Venous Thromboembolism.Journal of clinical medicine · 2024Article
- Article
- Point-of-care ultrasound use in COVID-19: a narrative review.Annals of translational medicine · 2024Review
- Advancing healthcare through thoracic ultrasound research in older patients.Aging clinical and experimental research · 2023Review
- Lung ultrasound score severity cut-off points in COVID-19 pneumonia. A systematic review and validating cohort.Medicina clinica (English ed.) · 2023Article
- Article
- A review of current effective COVID-19 testing methods and quality control.Archives of microbiology · 2023Review
- The value of lung ultrasound in COVID-19 pneumonia, verified by high resolution computed tomography assessed by artificial intelligence.BMC infectious diseases · 2023Observational
- Insights from comparison of the clinical presentation and outcomes of patients hospitalized with COVID-19 in an Italian internal medicine ward during first and third wave.Frontiers in medicine · 2023Article
15 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLung ultrasound (LUS) is an accurate, safe, and cheap tool assisting in the diagnosis of several acute respiratory diseases. The diagnostic value of LUS in the workup of coronavirus disease-19 (COVID-19) in the hospital setting is still uncertain.
objectivesThe aim of this observational study was to explore correlations of the LUS appearance of COVID-19-related pneumonia with CT findings.
methodsTwenty-six patients (14 males, age 64 ± 16 years) urgently hospitalized for COVID-19 pneumonia, who underwent chest CT and bedside LUS on the day of admission, were enrolled in this observational study. CT images were reviewed by expert chest radiologists, who calculated a visual CT score based on extension and distribution of ground-glass opacities and consolidations. LUS was performed by clinicians with certified competency in thoracic ultrasonography, blind to CT findings, following a systematic approach recommended by ultrasound guidelines. LUS score was calculated according to presence, distribution, and severity of abnormalities.
resultsAll participants had CT findings suggestive of bilateral COVID-19 pneumonia, with an average visual scoring of 43 ± 24%. LUS identified 4 different possible -abnormalities, with bilateral distribution (average LUS score 15 ± 5): focal areas of nonconfluent B lines, diffuse confluent B lines, small subpleural microconsolidations with pleural line irregularities, and large parenchymal consolidations with air bronchograms. LUS score was significantly correlated with CT visual scoring (r = 0.65, p < 0.001) and oxygen saturation in room air (r = -0.66, p < 0.001).
conclusionWhen integrated with clinical data, LUS could represent a valid diagnostic aid in patients with suspect COVID-19 pneumonia, which reflects CT findings.
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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.