Evidence map›Paper›PMID 33779834›Full record

ArticleAnnals of intensive care2021

Clinical performance of lung ultrasound in predicting ARDS morphology.

Andrea Costamagna, Emanuele Pivetta, Alberto Goffi, Irene Steinberg, Pietro Arina, Anna Teresa Mazzeo, Lorenzo Del Sorbo, Simona Veglia, Ottavio Davini, Luca Brazzi and 2 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Annals of intensive care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04991727 (Pulmonary Ultrasound to Evaluate Protective Lung Ventilation in Obese Patients With Postoperative Pulmonary Complications Impact), which is not on this map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
6.2field-weighted citation impact, top 3% 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.

NCT04991727 unknown statusnot on this map

Pulmonary Ultrasound to Evaluate Protective Lung Ventilation in Obese Patients With Postoperative Pulmonary Complications Impact

TypeobservationalSponsorGeneral Hospital of Ningxia Medical UniversityRan2021 to 2023Enrolled100ConditionsAssessmentArmsrecruitment maneuvers
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 54 citations in OpenAlex.

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  5. Advances in bedside imaging: lung ultrasound.Intensive care medicine experimental · 2025
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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

12 authors at 6 institutions in 3 countries.

Andrea CostamagnaDepartment of Anaesthesia and Critical Care, AOU Città della Salute e della Scienza di Torino, University of Turin, Corso Dogliotti 14, 10126, Turin, Italy.
Emanuele PivettaDepartment of General and Specialized Medicine, Division of Emergency Medicine and High Dependency Unit, Cancer Epidemiology Unit - AOU Città Della Salute e Della Scienza di Torino, Turin, Italy.
Alberto GoffiInterdepartmental Division of Critical Care Medicine and Department of Medicine, University of Toronto, Toronto, ON, Canada.
Irene SteinbergDepartment of Surgical Sciences, University of Turin, Turin, Italy.
Pietro ArinaDepartment of Surgical Sciences, University of Turin, Turin, Italy.
Anna Teresa MazzeoDepartment of Surgical Sciences, University of Turin, Turin, Italy.
Lorenzo Del SorboInterdepartmental Division of Critical Care Medicine and Department of Medicine, University of Toronto, Toronto, ON, Canada.
Simona VegliaDepartment of Diagnostic Imaging and Radiotherapy, AOU Città della Salute e della Scienza di Torino-University of Turin, Turin, Italy.
Ottavio DaviniDepartment of Diagnostic Imaging and Radiotherapy, AOU Città della Salute e della Scienza di Torino-University of Turin, Turin, Italy.
Luca BrazziDepartment of Anaesthesia and Critical Care, AOU Città della Salute e della Scienza di Torino, University of Turin, Corso Dogliotti 14, 10126, Turin, Italy.
V Marco RanieriAlma Mater Studiorum, Dipartimento di Scienze Mediche e Chirurgiche, Anesthesia and Intensive Care Medicine, Policlinico di Sant'Orsola, Università di Bologna, Bologna, Italy.
Vito FanelliDepartment of Anaesthesia and Critical Care, AOU Città della Salute e della Scienza di Torino, University of Turin, Corso Dogliotti 14, 10126, Turin, Italy. vito.fanelli@unito.it.ORCID http://orcid.org/0000-0002-1647-2411
Azienda Ospedaliera Citta' della Salute e della Scienza di Torino · ITUniversity of Turin · ITSt. Michael's Hospital · CAUniversity Health Network · CAUniversity of Bologna · ITUniversity of Messina · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo assess diagnostic performance of lung ultrasound (LUS) in identifying ARDS morphology (focal vs non-focal), compared with the gold standard computed tomography.

methodsMechanically ventilated ARDS patients undergoing lung computed tomography and ultrasound were enrolled. Twelve fields, were evaluated. LUS score was graded from 0 (normal) to 3 (consolidation) according to B-lines extent. Total and regional LUS score as the sum of the four ventral (LUS

resultsForty-seven patients with ARDS (25 training set and 22 validation set) were enrolled. LUS

conclusionsLUS had a valuable performance in distinguishing ARDS morphology.

Indexed as

ARDSARDS morphologyBedside testsLung ultrasoundPoint of care diagnostic testsRespiratory monitoring

Identifiers

PMID33779834
PMCPMC8006629
OpenAlexW3141251438

What OpenQuestion holds

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Registered trials

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.