Evidence map›Paper›PMID 33180805›Full record

Observational studyPloS one2020

A quantitative CT parameter for the assessment of pulmonary oedema in patients with acute respiratory distress syndrome.

Patrick Leiser, Thomas Kirschning, Christel Weiß, Michael Hagmann, Jochen Schoettler, Franz-Simon Centner, Holger Haubenreisser, Philipp Riffel, Sonja Janssen, Claudia Henzler and 3 more

Open access · goldAbstract readObservational StudyValidation Study
In one paragraph

Observational study in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Observational
  3. Article
  4. Article
  5. Article
  6. 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

13 authors at 1 institution in 1 country.

Patrick LeiserInstitute of Clinical Radiology and Nuclear Medicine, University Medical Centre Mannheim, Heidelberg University, Mannheim, Germany.ORCID 0000-0002-6332-4454
Thomas KirschningDepartment of Anaesthesiology and Intensive Care Medicine, University Medical Centre Mannheim, Heidelberg University, Mannheim, Germany.
Christel WeißDepartment for Medical Statistics and Biomathematics, University Medical Centre Mannheim, Heidelberg University, Mannheim, Germany.
Michael HagmannDepartment for Medical Statistics and Biomathematics, University Medical Centre Mannheim, Heidelberg University, Mannheim, Germany.
Jochen SchoettlerDepartment of Anaesthesiology and Intensive Care Medicine, University Medical Centre Mannheim, Heidelberg University, Mannheim, Germany.
Franz-Simon CentnerDepartment of Anaesthesiology and Intensive Care Medicine, University Medical Centre Mannheim, Heidelberg University, Mannheim, Germany.
Holger HaubenreisserInstitute of Clinical Radiology and Nuclear Medicine, University Medical Centre Mannheim, Heidelberg University, Mannheim, Germany.
Philipp RiffelInstitute of Clinical Radiology and Nuclear Medicine, University Medical Centre Mannheim, Heidelberg University, Mannheim, Germany.
Sonja JanssenInstitute of Clinical Radiology and Nuclear Medicine, University Medical Centre Mannheim, Heidelberg University, Mannheim, Germany.
Claudia HenzlerInstitute of Clinical Radiology and Nuclear Medicine, University Medical Centre Mannheim, Heidelberg University, Mannheim, Germany.
Thomas HenzlerInstitute of Clinical Radiology and Nuclear Medicine, University Medical Centre Mannheim, Heidelberg University, Mannheim, Germany.
Stefan SchoenbergInstitute of Clinical Radiology and Nuclear Medicine, University Medical Centre Mannheim, Heidelberg University, Mannheim, Germany.
Daniel OverhoffInstitute of Clinical Radiology and Nuclear Medicine, University Medical Centre Mannheim, Heidelberg University, Mannheim, Germany.
Heidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was to establish quantitative CT (qCT) parameters for pathophysiological understanding and clinical use in patients with acute respiratory distress syndrome (ARDS). The most promising parameter is introduced. MATERIALS AND

methods28 intubated patients with ARDS obtained a conventional CT scan in end-expiratory breathhold within the first 48 hours after admission to intensive care unit (ICU). Following manual segmentation, 137 volume- and lung weight-associated qCT parameters were correlated with 71 clinical parameters such as blood gases, applied ventilation pressures, pulse contour cardiac output measurements and established status and prognosis scores (SOFA, SAPS II).

resultsOf all examined qCT parameters, excess lung weight (ELW), i.e. the difference between a patient's current lung weight and the virtual lung weight of a healthy person at the same height, displayed the most significant results. ELW correlated significantly with the amount of inflated lung tissue [%] (p<0.0001; r = -0.66) and was closely associated with the amount of extravascular lung water (EVLW) (p<0.0001; r = 0.72). More substantially than the oxygenation index (PaO2/FiO2) or any other clinical parameter it correlated with the patients' mean SOFA- (p<0.0001, r = 0.69) and SAPS II-Score (p = 0.0005, r = 0.62). Patients who did not survive intensive care treatment displayed higher values of ELW in the initial CT scans.

conclusionsELW could serve as a non-invasive method to quantify the amount of pulmonary oedema. It might serve as an early radiological marker of severity in patients with ARDS.

Indexed as

Tomography, X-Ray ComputedAdultAgedFeasibility StudiesFemaleHospital MortalityHumansIntensive Care UnitsLungLung Volume MeasurementsMaleMiddle AgedPulmonary EdemaRespiratory Distress SyndromeRespiratory Function TestsSeverity of Illness Index

Identifiers

PMID33180805
PMCPMC7660563
OpenAlexW3098739752

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.