Evidence map›Paper›PMID 38238635›Full record

ArticleJournal of clinical monitoring and computing2024

A non-invasive continuous and real-time volumetric monitoring in spontaneous breathing subjects based on bioimpedance-ExSpiron®Xi: a validation study in healthy volunteers.

Stefano Gatti, Emanuele Rezoagli, Fabiana Madotto, Giuseppe Foti, Giacomo Bellani

Abstract read
In one paragraph

Article in Journal of clinical monitoring and computing, 2024. 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
–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

6 citing papers in PubMed.

  1. Review
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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

5 authors.

Stefano Gatti *Department of Emergency and Intensive Care, Terapia Intensiva e Semintensiva adulti e Pediatrica, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy.
Emanuele Rezoagli *Department of Emergency and Intensive Care, Terapia Intensiva e Semintensiva adulti e Pediatrica, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy.
Fabiana MadottoDepartment of Area Emergenza Urgenza, Fondazione IRCCS Ca' Granda - Ospedale Maggiore Policlinico, Milan, Italy.
Giuseppe FotiDepartment of Emergency and Intensive Care, Terapia Intensiva e Semintensiva adulti e Pediatrica, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy.
Giacomo BellaniCentre for Medical Sciences - CISMed, University of Trento, Trento, Italy. giacomo.bellani@apss.tn.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tidal volume (TV) monitoring breath-by-breath is not available at bedside in non-intubated patients. However, TV monitoring may be useful to evaluate the work of breathing. A non-invasive device based on bioimpedance provides continuous and real-time volumetric tidal estimation during spontaneous breathing. We performed a prospective study in healthy volunteers aimed at evaluating the accuracy, the precision and the trending ability of measurements of ExSpiron®Xi as compared with the gold standard (i.e. spirometry). Further, we explored whether the differences between the 2 devices would be improved by the calibration of ExSpiron®Xi with a pre-determined tidal volume. Analysis accounted for the repeated nature of measurements within each subject. We enrolled 13 healthy volunteers, including 5 men and 8 women. Tidal volume, TV/ideal body weight (IBW) and respiratory rate (RR) measured with spirometer (TV

Indexed as

RespirationFemaleHealthy VolunteersHumansLung Volume MeasurementsMaleProspective StudiesTidal VolumeBioimpedanceHealthy volunteersNon-invasive monitoringNon-invasive respiratory supportNon-invasive ventilationRespiratory failureTidal volume

Identifiers

PMID38238635
PMCPMC10994998

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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.