Evidence map›Paper›PMID 33627160›Full record

ArticleCritical care (London, England)2021

Computed tomography assessment of PEEP-induced alveolar recruitment in patients with severe COVID-19 pneumonia.

Lorenzo Ball, Chiara Robba, Lorenzo Maiello, Jacob Herrmann, Sarah E Gerard, Yi Xin, Denise Battaglini, Iole Brunetti, Giuseppe Minetti, Sara Seitun and 9 more

Open access · goldAbstract read
In one paragraph

Article in Critical care (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 pooled it
12.9field-weighted citation impact, top 1% 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

40 citing papers in PubMed, 2 syntheses or guidelines pooled it, 92 citations in OpenAlex.

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  7. Electrical Impedance Tomography: The Electrocardiogram for the Lungs?American journal of respiratory and critical care medicine · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 4 institutions in 3 countries.

Lorenzo BallDepartment of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Viale Benedetto XV 16, Genoa, Italy. lorenzo.ball@unige.it.ORCID http://orcid.org/0000-0002-3876-4730
Chiara RobbaAnesthesia and Intensive Care, Ospedale Policlinico San Martino, IRCCS Per L'Oncologia e le Neuroscienze, Genoa, Italy.
Lorenzo MaielloDepartment of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Viale Benedetto XV 16, Genoa, Italy.
Jacob HerrmannDepartment of Biomedical Engineering, Harvard Medical School, Boston, MA, USA.
Sarah E GerardDepartment of Radiology, Harvard Medical School, Boston, MA, USA.
Yi XinDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Denise BattagliniAnesthesia and Intensive Care, Ospedale Policlinico San Martino, IRCCS Per L'Oncologia e le Neuroscienze, Genoa, Italy.
Iole BrunettiAnesthesia and Intensive Care, Ospedale Policlinico San Martino, IRCCS Per L'Oncologia e le Neuroscienze, Genoa, Italy.
Giuseppe MinettiRadiology Department, Ospedale Policlinico San Martino, IRCCS Per L'Oncologia e le Neuroscienze, Genoa, Italy.
Sara SeitunRadiology Department, Ospedale Policlinico San Martino, IRCCS Per L'Oncologia e le Neuroscienze, Genoa, Italy.
Antonio VenaInfectious Diseases Unit, Ospedale Policlinico San Martino, IRCCS Per L'Oncologia e le Neuroscienze, Genoa, Italy.
Daniele Roberto GiacobbeInfectious Diseases Unit, Ospedale Policlinico San Martino, IRCCS Per L'Oncologia e le Neuroscienze, Genoa, Italy.
Matteo BassettiInfectious Diseases Unit, Ospedale Policlinico San Martino, IRCCS Per L'Oncologia e le Neuroscienze, Genoa, Italy.
Patricia R M RoccoLaboratory of Pulmonary Investigation, Carlos Chagas Filho Institute of Biophysics, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Maurizio CeredaDepartment of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Lucio CastellanRadiology Department, Ospedale Policlinico San Martino, IRCCS Per L'Oncologia e le Neuroscienze, Genoa, Italy.
Nicolò PatronitiDepartment of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Viale Benedetto XV 16, Genoa, Italy.
Paolo PelosiDepartment of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Viale Benedetto XV 16, Genoa, Italy.
GECOVID (GEnoa COVID-19) group
Ospedale Policlinico San Martino · ITHarvard University · USUniversidade Federal do Rio de Janeiro · BRUniversity of Genoa · IT

Funding

Iowa Lung Imaging Training ProgramT32HL144461 · NHLBI · UNIVERSITY OF IOWA · PI HOFFMAN, ERIC ALFRED, REINHARDT, JOSEPH M · 2019 to 2023
$1.6M
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) 401700/2020-8Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/210.181/ 2020NHLBI NIH HHS T32 HL144461
6 · The paper itself

Abstract

backgroundThere is a paucity of data concerning the optimal ventilator management in patients with COVID-19 pneumonia; particularly, the optimal levels of positive-end expiratory pressure (PEEP) are unknown. We aimed to investigate the effects of two levels of PEEP on alveolar recruitment in critically ill patients with severe COVID-19 pneumonia.

methodsA single-center cohort study was conducted in a 39-bed intensive care unit at a university-affiliated hospital in Genoa, Italy. Chest computed tomography (CT) was performed to quantify aeration at 8 and 16 cmH

resultsForty-two patients were included in this analysis. Alveolar recruitment was median [interquartile range] 2.7 [0.7-4.5] % of lung weight and was not associated with excess lung weight, PaO

conclusionsIn patients with severe COVID-19 pneumonia, higher PEEP resulted in limited alveolar recruitment. These findings suggest limiting PEEP strictly to the values necessary to maintain oxygenation, thus avoiding the use of higher PEEP levels.

Indexed as

Positive-Pressure RespirationAgedCohort StudiesCOVID-19FemaleHumansItalyMaleMiddle AgedPneumonia, ViralPulmonary AlveoliSeverity of Illness IndexTomography, X-Ray ComputedTreatment OutcomeARDSCOVID-19CT scanMechanical ventilationRespiratory system mechanics

Identifiers

PMID33627160
PMCPMC7903929
OpenAlexW3131876040

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.