Evidence map›Paper›PMID 36010199›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Extent and Distribution of Parenchymal Abnormalities in Baseline CT-Scans Do Not Predict Awake Prone Positioning Response in COVID-19 Related ARDS.

Federico Raimondi, Sara Cazzaniga, Simona Annibali, Luca Novelli, Matteo Brivio, Simone Pappacena, Luca Malandrino, Pietro Andrea Bonaffini, Ilaria Bianco, Noemi Liggeri and 4 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Observational
  2. Review
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

14 authors at 2 institutions in 1 country.

Federico RaimondiPulmonary Medicine Unit, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy.
Sara CazzanigaDepartment of Intensive Critical Care, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy.
Simona AnnibaliDepartment of Diagnostic Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy.
Luca NovelliPulmonary Medicine Unit, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy.ORCID 0000-0002-2705-248X
Matteo BrivioDepartment of Intensive Critical Care, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy.
Simone PappacenaPulmonary Medicine Unit, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy.
Luca MalandrinoPulmonary Medicine Unit, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy.
Pietro Andrea BonaffiniDepartment of Diagnostic Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy.ORCID 0000-0001-5335-9429
Ilaria BiancoDepartment of Diagnostic Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy.
Noemi LiggeriDepartment of Diagnostic Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy.
Paolo GrittiDepartment of Intensive Critical Care, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy.
Ferdinando Luca LoriniDepartment of Intensive Critical Care, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy.
Sandro SironiDepartment of Diagnostic Radiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy.
Fabiano Di MarcoPulmonary Medicine Unit, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy.ORCID 0000-0002-1743-0504
Ospedale Papa Giovanni XXIII · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prone positioning is frequently used for non-intubated hypoxemic patients with COVID-19, although conclusive evidence is still lacking. The aim of the present study was to investigate whether baseline CT-scans could predict the improvement in oxygenation in COVID-19 related Acute respira-tory syndrome (ARDS) patients when pronated.

methodsA retrospective study of COVID-19 patients who underwent non-invasive ventilation (NIV) and prone positioning was conducted.

resultsForty-five patients were included. On average, 50% of the overall lung volume was affected by the disease, as observed in the CT-scans, with ground glass opacities (GGOs) and consolidations accounting for 44% and 4%, respectively. The abnormalities were mainly posterior, as demonstrated by posterior/anterior distribution ratios of 1.5 and 4.4 for GGO and consolidation, respectively. The median PaO

conclusionDespite the lack of a priori estimation of the sample size, considering the absence of any trends in the differences and correlations, we can reasonably conclude that the baseline chest CT-scan does not predict a gas-exchange response in awake prone-positioned patients with COVID-19 related ARDS. Physicians dealing with this category of patients should not rely on the imaging at presentation when evaluating whether to pronate patients.

Indexed as

ARDScomorbiditiesCOVID-19CTmortalityrespiratory failure

Identifiers

PMID36010199
PMCPMC9406535
OpenAlexW4289109896

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.