Evidence map›Paper›PMID 29680878›Full record

Observational studyJournal of clinical monitoring and computing2019

Quantitative computed tomography in comparison with transpulmonary thermodilution for the estimation of pulmonary fluid status: a clinical study in critically ill patients.

Bernd Saugel, Moritz Wildgruber, Albrecht Staudt, Michael Dieckmeyer, Konstantin Holzapfel, Georgios Kaissis, Mikhail Y Kirov, Vsevolod V Kuzkov, Roland M Schmid, Wolfgang Huber

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Journal of clinical monitoring and computing, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Review
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Lung water assessment: from gravimetry to wearables.Journal of clinical monitoring and computing · 2019
    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

10 authors.

Bernd SaugelII. Medizinische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany. bernd.saugel@gmx.de.ORCID 0000-0001-6619-0722
Moritz WildgruberInstitut für diagnostische und interventionelle Radiologie, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany.
Albrecht StaudtII. Medizinische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany.
Michael DieckmeyerInstitut für diagnostische und interventionelle Radiologie, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany.
Konstantin HolzapfelInstitut für diagnostische und interventionelle Radiologie, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany.
Georgios KaissisInstitut für diagnostische und interventionelle Radiologie, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany.
Mikhail Y KirovDepartment of Anesthesiology and Intensive Care Medicine, Northern State Medical University, Arkhangelsk, Russia.
Vsevolod V KuzkovDepartment of Anesthesiology and Intensive Care Medicine, Northern State Medical University, Arkhangelsk, Russia.
Roland M SchmidII. Medizinische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany.
Wolfgang HuberII. Medizinische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extravascular lung water (index) (EVLW(I)) can be estimated using transpulmonary thermodilution (TPTD). Computed tomography (CT) with quantitative analysis of lung tissue density has been proposed to quantify pulmonary edema. We compared variables of pulmonary fluid status assessed using quantitative CT and TPTD in critically ill patients. In 21 intensive care unit patients, we performed TPTD measurements directly before and after chest CT. Based on the density data of segmented CT images we calculated the tissue volume (TV), tissue volume index (TVI), and the mean weighted index of voxel aqueous density (VMWaq). CT-derived TV, TVI, and VMWaq did not predict TPTD-derived EVLWI values ≥ 14 mL/kg. There was a significant moderate positive correlation between VMWaq and mean EVLWI (EVLWI before and after CT) (r = 0.45, p = 0.042) and EVLWI after CT (r = 0.49, p = 0.025) but not EVLWI before CT (r = 0.38, p = 0.086). There was no significant correlation between TV and EVLW before CT, EVLW after CT, or mean EVLW. There was no significant correlation between TVI and EVLWI before CT, EVLWI after CT, or mean EVLWI. CT-derived variables did not predict elevated TPTD-derived EVLWI values. In unselected critically ill patients, variables of pulmonary fluid status assessed using quantitative CT cannot be used to predict EVLWI.

Indexed as

Critical IllnessAgedCritical CareExtravascular Lung WaterFemaleHemodynamicsHumansIntensive Care UnitsLungMaleMiddle AgedPulmonary EdemaThermodilutionTomography, X-Ray ComputedExtravascular lung waterPulmonary edemaPulmonary vascular permeabilityTissue volume

Identifiers

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Registered trials

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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.