Evidence map›Paper›PMID 34453633›Full record

ArticleAnnals of intensive care2021

Bioreactance reliably detects preload responsiveness by the end-expiratory occlusion test when averaging and refresh times are shortened.

Francesco Gavelli, Alexandra Beurton, Jean-Louis Teboul, Nello De Vita, Danila Azzolina, Rui Shi, Arthur Pavot, Xavier Monnet

Open access · goldAbstract read
In one paragraph

Article in Annals of intensive care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% 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, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Does the thoracic fluid content reflect lung water and cardiac preload?Journal of clinical monitoring and computing · 2025
    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

8 authors at 2 institutions in 2 countries.

Francesco GavelliService de Médecine Intensive-Réanimation, Université Paris-Saclay, AP-HP, Hôpital de Bicêtre, DMU CORREVE, Inserm UMR S_999, FHU SEPSIS, CARMAS, 78, Rue du Général Leclerc, 94 270, Le Kremlin-Bicêtre, France. francesco.gavelli@uniupo.it.ORCID http://orcid.org/0000-0002-0581-245X
Alexandra BeurtonService de Médecine Intensive-Réanimation, Université Paris-Saclay, AP-HP, Hôpital de Bicêtre, DMU CORREVE, Inserm UMR S_999, FHU SEPSIS, CARMAS, 78, Rue du Général Leclerc, 94 270, Le Kremlin-Bicêtre, France.
Jean-Louis TeboulService de Médecine Intensive-Réanimation, Université Paris-Saclay, AP-HP, Hôpital de Bicêtre, DMU CORREVE, Inserm UMR S_999, FHU SEPSIS, CARMAS, 78, Rue du Général Leclerc, 94 270, Le Kremlin-Bicêtre, France.
Nello De VitaService de Médecine Intensive-Réanimation, Université Paris-Saclay, AP-HP, Hôpital de Bicêtre, DMU CORREVE, Inserm UMR S_999, FHU SEPSIS, CARMAS, 78, Rue du Général Leclerc, 94 270, Le Kremlin-Bicêtre, France.
Danila AzzolinaResearch Support Unit, Department of Translational Medicine, Università degli Studi del Piemonte Orientale, 28100, Novara, Italy.
Rui ShiService de Médecine Intensive-Réanimation, Université Paris-Saclay, AP-HP, Hôpital de Bicêtre, DMU CORREVE, Inserm UMR S_999, FHU SEPSIS, CARMAS, 78, Rue du Général Leclerc, 94 270, Le Kremlin-Bicêtre, France.
Arthur PavotService de Médecine Intensive-Réanimation, Université Paris-Saclay, AP-HP, Hôpital de Bicêtre, DMU CORREVE, Inserm UMR S_999, FHU SEPSIS, CARMAS, 78, Rue du Général Leclerc, 94 270, Le Kremlin-Bicêtre, France.
Xavier MonnetService de Médecine Intensive-Réanimation, Université Paris-Saclay, AP-HP, Hôpital de Bicêtre, DMU CORREVE, Inserm UMR S_999, FHU SEPSIS, CARMAS, 78, Rue du Général Leclerc, 94 270, Le Kremlin-Bicêtre, France.
Inserm · FRUniversità degli Studi del Piemonte Orientale “Amedeo Avogadro” · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe end-expiratory occlusion (EEXPO) test detects preload responsiveness, but it is 15 s long and induces small changes in cardiac index (CI). It is doubtful whether the Starling bioreactance device, which averages CI over 24 s and refreshes the displayed value every 4 s (Starling-24.4), can detect the EEXPO-induced changes in CI (ΔCI). Our primary goal was to test whether this Starling device version detects preload responsiveness through EEXPO. We also tested whether shortening the averaging and refresh times to 8 s and one second, respectively, (Starling-8.1) improves the accuracy of the device in detecting preload responsiveness using EEXPO.

methodsIn 42 mechanically ventilated patients, during a 15-s EEXPO, we measured ∆CI through calibrated pulse contour analysis (CI

resultsTwenty-six patients were preload responders and sixteen non preload-responders. The AUROC for ∆CI

conclusionsShortening the averaging and refresh times of the bioreactance signal to 8 s and one second, respectively, increases the reliability of the Starling device in detection of EEXPO-induced ∆CI.

trial registrationNo. IDRCB: 2018-A02825-50. Registered 13 December 2018.

Indexed as

Cardiac indexFluidFluid challengeHeart lung interactionsMonitoringPassive leg raising

Identifiers

PMID34453633
PMCPMC8401368
OpenAlexW3194117930

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.