Evidence map›Paper›PMID 34505190›Full record

ArticleIntensive care medicine experimental2021

Validation of a novel system to assess end-expiratory lung volume and alveolar recruitment in an ARDS model.

Laurent Bitker, Nadja Cristinne Carvalho, Sascha Reidt, Christoph Schranz, Dominik Novotni, Maciej Orkisz, Eduardo Davila Serrano, Jean-Pierre Revelly, Jean-Christophe Richard

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Article in Intensive care medicine experimental, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Laurent BitkerService de Médecine Intensive - Réanimation, Hôpital De La Croix Rousse, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France.
Nadja Cristinne CarvalhoResearch and New Technology Department, Hamilton Medical AG, Bonaduz, Switzerland.
Sascha ReidtResearch and New Technology Department, Hamilton Medical AG, Bonaduz, Switzerland.
Christoph SchranzResearch and New Technology Department, Hamilton Medical AG, Bonaduz, Switzerland.
Dominik NovotniResearch and New Technology Department, Hamilton Medical AG, Bonaduz, Switzerland.
Maciej OrkiszUniversité de Lyon, Université Claude Bernard Lyon 1, INSA-Lyon, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, Villeurbanne, France.
Eduardo Davila SerranoUniversité de Lyon, Université Claude Bernard Lyon 1, INSA-Lyon, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1206, Villeurbanne, France.
Jean-Pierre RevellyResearch and New Technology Department, Hamilton Medical AG, Bonaduz, Switzerland.
Jean-Christophe RichardService de Médecine Intensive - Réanimation, Hôpital De La Croix Rousse, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France. j-christophe.richard@chu-lyon.fr.ORCID http://orcid.org/0000-0003-1503-3035

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPersonalizing mechanical ventilation requires the development of reliable bedside monitoring techniques. The multiple-breaths nitrogen washin-washout (MBNW) technique is currently available to measure end-expiratory lung volume (EELV

resultsSeven pigs were studied in 6 experimental conditions: at baseline, after experimental ARDS and during a decremental PEEP trial at PEEP 16, 12, 6 and 2 cmH

conclusionsWe report a new bedside MBNW technique that reliably assesses EELV in an experimental ARDS model with high precision and excellent trending ability.

Indexed as

Acute respiratory distress syndromeAlveolar recruitmentComputed tomographyEnd-expiratory lung volumeFunctional residual capacityLung injuryNitrogen washin–washoutPositive end-expiratory pressure

Identifiers

PMID34505190
PMCPMC8428961

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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.