Evidence map›Paper›PMID 36103083›Full record

Observational studyInternal and emergency medicine2022

Lung ultrasound in the follow-up of severe COVID-19 pneumonia: six months evaluation and comparison with CT.

Giulia Russo, Nicola Flor, Francesco Casella, Sonia Ippolito, Federica Leidi, Giovanni Casazza, Dejan Radovanovic, Federico Vezzulli, Pierachille Santus, Chiara Cogliati

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Internal and emergency medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  8. Cardiopulmonary Complications after Pulmonary Embolism in COVID-19.International journal of molecular sciences · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Giulia RussoInternal Medicine, Department of Biomedical and Clinical Sciences, ASST Fatebenefratelli Sacco, University of Milano, Via G.B. Grassi 74, 20157, Milan, Italy. giuliarusso02@gmail.com.ORCID 0000-0002-2338-492X
Nicola FlorRadiology Unit, Ospedale Luigi Sacco, Polo Universitario, ASST Fatebenefratelli-Sacco, Via G.B. Grassi 74, 20157, Milan, Italy.
Francesco CasellaInternal Medicine, Department of Biomedical and Clinical Sciences, ASST Fatebenefratelli Sacco, University of Milano, Via G.B. Grassi 74, 20157, Milan, Italy.
Sonia IppolitoRadiology Unit, Ospedale Luigi Sacco, Polo Universitario, ASST Fatebenefratelli-Sacco, Via G.B. Grassi 74, 20157, Milan, Italy.
Federica LeidiInternal Medicine, Department of Biomedical and Clinical Sciences, ASST Fatebenefratelli Sacco, University of Milano, Via G.B. Grassi 74, 20157, Milan, Italy.
Giovanni CasazzaDepartment of Clinical Sciences and Community Health, Università Degli Studi di Milano, Via Francesco Sforza 35, 20122, Milan, Italy.
Dejan RadovanovicDivision of Respiratory Diseases, Department of Biomedical and Clinical Sciences (DIBIC), Ospedale Luigi Sacco, Polo Universitario, ASST Fatebenefratelli-Sacco, Università Degli Studi di Milano, Via G.B. Grassi 74, 20157, Milan, Italy.
Federico VezzulliInternal Medicine, Department of Biomedical and Clinical Sciences, ASST Fatebenefratelli Sacco, University of Milano, Via G.B. Grassi 74, 20157, Milan, Italy.
Pierachille SantusDivision of Respiratory Diseases, Department of Biomedical and Clinical Sciences (DIBIC), Ospedale Luigi Sacco, Polo Universitario, ASST Fatebenefratelli-Sacco, Università Degli Studi di Milano, Via G.B. Grassi 74, 20157, Milan, Italy.
Chiara CogliatiInternal Medicine, Department of Biomedical and Clinical Sciences, ASST Fatebenefratelli Sacco, University of Milano, Via G.B. Grassi 74, 20157, Milan, Italy.
University of Milan · ITLuigi Sacco Hospital · ITVita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While lung ultrasonography (LUS) proved to be a useful diagnostic and prognostic tool in acute phase of COVID 19 pneumonia, its role in detecting long-term pulmonary sequelae has yet to be explored. In our prospective observational study we assessed the potential of LUS in detecting the presence of computed tomography (CT) fibrotic-like changes after 6 months from COVID-19 pneumonia. Patients who were discharged with a diagnosis of severe COVID-19 pneumonia were enrolled. After 6 months from hospital discharge they underwent LUS, chest CT scan and pulmonary function tests. A logistic regression analysis was performed to assess the association between presence of symptoms, LUS score and diffusing capacity for carbon monoxide (DLCO) at 6-month after hospital discharge and CT scan fibrotic-like changes. A second logistic model was performed to assess the value of some predefined baseline factors (age, sex, worst PaO2/FiO2, ventilator support, worst CRP value, worst D-dimer value and worst LUS score during hospitalization) to predict fibrotic-like changes on 6-month CT scan. Seventy-four patients were enrolled in the study. Twenty-four (32%) showed lung abnormalities suitable for fibrotic-like changes. At multivariate logistic regression analysis LUS score after 6 months from acute disease was significantly associated with fibrotic-like pattern on CT scan. The second logistic model showed that D-dimer value was the only baseline predictive variable of fibrotic-like changes at multivariate analysis. LUS performed after 6 months from severe COVID-19 pneumonia may be a promising tool for detection and follow-up of pulmonary fibrotic sequelae.

Indexed as

COVID-19Follow-Up StudiesHumansLungTomography, X-Ray ComputedUltrasonographyComputed tomographyCOVID-19 pneumoniaLung ultrasoundPulmonary fibrosisUltrasonography

Identifiers

PMID36103083
PMCPMC9472735
OpenAlexW4295681679

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.