Evidence map›Paper›PMID 39506755›Full record

ReviewCritical care (London, England)2024

Pressure support, patient effort and tidal volume: a conceptual model for a non linear interaction.

Mattia Docci, Giuseppe Foti, Laurent Brochard, Giacomo Bellani

Registry-linked trialAbstract readReview
In one paragraph

Review in Critical care (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07199881 (Assessment of Respiratory Drive and Inspiratory Effort Across Pressure Support Levels in Patients After Major Abdominal Surgery), which is not on this map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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.

NCT07199881 narecruitingnot on this mapstarted 2025, after this paper: background citation

Assessment of Respiratory Drive and Inspiratory Effort Across Pressure Support Levels in Patients After Major Abdominal Surgery

TypeinterventionalSponsorMahidol UniversityRan2025 to 2027Enrolled40ConditionsInspiratory Effort, Mechanical Ventilation, Major Abdominal SurgeriesArmsStepwise PSV adjustment protocol
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. 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

4 authors.

Mattia DocciSchool of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Giuseppe FotiSchool of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Laurent BrochardKeenan Centre for Biomedical Research, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, ON, Canada.
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

Pressure support ventilation (PSV) is a form of assisted ventilation which has become frequently used, with the aim of partially unloading the patient's inspiratory muscles. Both under- and over-assistance should be avoided to target a lung- and diaphragm- protective ventilation. Herein, we propose a conceptual model, supported by actual data, to describe how patient and ventilator share the generation of tidal volume (Vt) in PSV and how respiratory system compliance (Crs) affects this interaction. We describe the presence of a patient-specific range of PSV levels, within which the inspiratory effort (Pmus) is modulated, keeping Vt relatively steady on a desired value (Vt

Indexed as

Tidal VolumeHumansPositive-Pressure RespirationRespiration, ArtificialAcute respiratory failureInspiratory effortInvasive mechanical ventilationPressure support ventilationRespiratory mechanics

Identifiers

PMID39506755
PMCPMC11539557

What OpenQuestion holds

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Registered trials

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.