Evidence map›Paper›PMID 32449104›Full record

ArticleAnnals of intensive care2020

The end-expiratory occlusion test for detecting preload responsiveness: a systematic review and meta-analysis.

Francesco Gavelli, Rui Shi, Jean-Louis Teboul, Danila Azzolina, Xavier Monnet

Abstract read
In one paragraph

Article in Annals of intensive care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
–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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Trial
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  6. Article
  7. Fluid management methods for severely burned patients: a narrative review.Journal of clinical monitoring and computing · 2026
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  12. SIGHCritical care (London, England) · 2025
    Article
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  18. How I personalize fluid therapy in septic shock?Critical care (London, England) · 2023
    Review
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  20. Observational
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.

Francesco GavelliService de Médecine Intensive-Réanimation, Hôpital de Bicêtre, Hôpitaux Universitaires Paris-Saclay, 78, rue du Général Leclerc, 94270, Le Kremlin-Bicêtre, France. francesco.gavelli@uniupo.it.ORCID http://orcid.org/0000-0002-0581-245X
Rui ShiService de Médecine Intensive-Réanimation, Hôpital de Bicêtre, Hôpitaux Universitaires Paris-Saclay, 78, rue du Général Leclerc, 94270, Le Kremlin-Bicêtre, France.
Jean-Louis TeboulService de Médecine Intensive-Réanimation, Hôpital de Bicêtre, Hôpitaux Universitaires Paris-Saclay, 78, rue du Général Leclerc, 94270, Le Kremlin-Bicêtre, France.
Danila AzzolinaDepartment of Translational Medicine, Università degli Studi del Piemonte Orientale, 28100, Novara, Italy.
Xavier MonnetService de Médecine Intensive-Réanimation, Hôpital de Bicêtre, Hôpitaux Universitaires Paris-Saclay, 78, rue du Général Leclerc, 94270, Le Kremlin-Bicêtre, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe performed a systematic review and meta-analysis of studies assessing the end-expiratory occlusion test (EEXPO test)-induced changes in cardiac output (CO) measured by any haemodynamic monitoring device, as indicators of preload responsiveness.

methodsMEDLINE, EMBASE and Cochrane Database were screened for original articles. Bivariate random-effects meta-analysis determined the Area under the Summary Receiver Operating Characteristic (AUSROC) curve of EEXPO test-induced changes in CO to detect preload responsiveness, as well as pooled sensitivity and specificity and the best diagnostic threshold.

resultsThirteen studies (530 patients) were included. Nine studies were performed in the intensive care unit and four in the operating room. The pooled sensitivity and the pooled specificity for the EEXPO test-induced changes in CO were 0.85 [0.77-0.91] and 0.88 [0.83-0.91], respectively. The AUSROC curve was 0.91 [0.86-0.94] with the best threshold of CO increase at 5.1 ± 0.2%. The accuracy of the test was not different when changes in CO were monitored through pulse contour analysis compared to other methods (AUSROC: 0.93 [0.91-0.95] vs. 0.87 [0.82-0.96], respectively, p = 0.62). Also, it was not different in studies in which the tidal volume was ≤ 7 mL/kg compared to the remaining ones (AUSROC: 0.96 [0.92-0.97] vs. 0.89 [0.82-0.95] respectively, p = 0.44). Subgroup analyses identified one possible source of heterogeneity.

conclusionsEEXPO test-induced changes in CO reliably detect preload responsiveness. The diagnostic performance is not influenced by the method used to track the EEXPO test-induced changes in CO. Trial registration The study protocol was prospectively registered on PROSPERO: CRD42019138265.

Indexed as

Cardiac preloadFluid challengeFluid responsivenessHaemodynamic monitoringHeart–lung interactions

Identifiers

PMID32449104
PMCPMC7246264

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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.