Evidence map›Paper›PMID 35653251›Full record

ReviewCurrent opinion in critical care2022

Lung aeration, ventilation, and perfusion imaging.

Lorenzo Ball, Gaetano Scaramuzzo, Jacob Herrmann, Maurizio Cereda

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in critical care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Imaging the Lung in ARDS: A Primer.Respiratory care · 2024
    Review
  5. Article
  6. Article
  7. Article
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

4 authors at 4 institutions in 2 countries.

Lorenzo BallDepartment of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa.
Gaetano ScaramuzzoDepartment of Translational Medicine, University of Ferrara.
Jacob HerrmannRoy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa.
Maurizio CeredaDepartment of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Arcispedale Sant'Anna · ITUniversity of Genoa · ITUniversity of Iowa · USUniversity of Pennsylvania · US

Funding

An Integrated Approach to Predict and Improve the Outcomes of Lung InjuryR01HL137389 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI CEREDA, MAURIZIO FRANCO · 2018 to 2021
$3.0M
Iowa Lung Imaging Training ProgramT32HL144461 · NHLBI · UNIVERSITY OF IOWA · PI HOFFMAN, ERIC ALFRED, REINHARDT, JOSEPH M · 2019 to 2023
$1.6M
NHLBI NIH HHS R01 HL137389NHLBI NIH HHS T32 HL144461
6 · The paper itself

Abstract

purpose of reviewLung imaging is a cornerstone of the management of patients admitted to the intensive care unit (ICU), providing anatomical and functional information on the respiratory system function. The aim of this review is to provide an overview of mechanisms and applications of conventional and emerging lung imaging techniques in critically ill patients. RECENT

findingsChest radiographs provide information on lung structure and have several limitations in the ICU setting; however, scoring systems can be used to stratify patient severity and predict clinical outcomes. Computed tomography (CT) is the gold standard for assessment of lung aeration but requires moving the patients to the CT facility. Dual-energy CT has been recently applied to simultaneous study of lung aeration and perfusion in patients with respiratory failure. Lung ultrasound has an established role in the routine bedside assessment of ICU patients, but has poor spatial resolution and largely relies on the analysis of artifacts. Electrical impedance tomography is an emerging technique capable of depicting ventilation and perfusion at the bedside and at the regional level. SUMMARY: Clinicians should be confident with the technical aspects, indications, and limitations of each lung imaging technique to improve patient care.

Indexed as

LungPerfusion ImagingHumansRespirationRespiration, ArtificialTomography, X-Ray Computed

Identifiers

PMID35653251
PMCPMC9178949
OpenAlexW4281760092

What OpenQuestion holds

Textmetadata
LicenceTDM
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.