Evidence map›Paper›PMID 41125264›Full record

ArticleBMJ open2025

Reliability of minimally trained operator's left ventricular outflow tract velocity-time integral measurement guided by artificial intelligence: protocol for a multicentre randomised controlled trial.

Nathan Levy, Simon Meslin, Romain Barthélémy, Fanny Benremily, Cleo Bourgeois, Paul Bourzeix, Benjamin Chousterman, Juliette Djadi-Prat, Alexia Ep, Aghilas Kezar and 10 more

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06486467 (Reliability of Minimally Trained Operator's Velocity-Time Integral Measurement Guided by Artificial Intelligence), which is not on this map. Not yet cited in PubMed.

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

NCT06486467 narecruitingnot on this map

Reliability of Minimally Trained Operator's Velocity-Time Integral Measurement Guided by Artificial Intelligence (MiniTrained-VTI)

TypeinterventionalSponsorAssistance Publique - Hôpitaux de ParisRan2024 to 2026Enrolled100ConditionsVelocity-time Integral Measurement, Critically Ill Patients, Tissue HypoperfusionArmsFluid challenge (cristalloids) OR passive leg raising
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

20 authors.

Nathan LevyDepartment of Anesthesiology, Intensive Care & Perioperative Medicine, APHP, Hôpital Européen Georges Pompidou, Paris, France nathan.levy@aphp.fr.ORCID http://orcid.org/0009-0005-6189-1462
Simon MeslinDepartment of Anesthesiology, Intensive Care & Perioperative Medicine, APHP, Hôpital Européen Georges Pompidou, Paris, France.
Romain BarthélémyDepartment of Anesthesiology and Intensive Care, APHP, Hôpital Lariboisière, Paris, France.ORCID http://orcid.org/0000-0002-6493-4326
Fanny BenremilyClinical Research Unit, APHP, Hopital Europeen Georges Pompidou, Paris, France.
Cleo BourgeoisClinical Research Unit, APHP, Hopital Europeen Georges Pompidou, Paris, France.
Paul BourzeixMedical-Surgical Intensive Care Unit, Centre Hospitalier Universitaire de Limoges, Limoges, France.
Benjamin ChoustermanUniversité Paris Cité, Paris, France.
Juliette Djadi-PratClinical Research Unit, APHP, Hopital Europeen Georges Pompidou, Paris, France.ORCID http://orcid.org/0000-0003-4949-9474
Alexia EpDirection de la Recherche Clinique et de l'Innovation, AP-HP, Paris, France.
Aghilas KezarDepartment of Anesthesiology, Intensive Care & Perioperative Medicine, APHP, Hôpital Européen Georges Pompidou, Paris, France.
Clémence LaidetMedical-Surgical Intensive Care Unit, Centre Hospitalier Universitaire de Limoges, Limoges, France.
Emilie LanoyClinical Research Unit, APHP, Hopital Europeen Georges Pompidou, Paris, France.
Valentine LéopoldUniversité Paris Cité, Paris, France.
Helena PereiraClinical Research Unit, APHP, Hopital Europeen Georges Pompidou, Paris, France.
Olivier PlatekerMedical-Surgical Intensive Care Unit, Centre Hospitalier Universitaire de Limoges, Limoges, France.
Anne-Sophie RivoalenMedical-Surgical Intensive Care Unit, Centre Hospitalier Universitaire de Limoges, Limoges, France.
C de RoquetailladeUniversité Paris Cité, Paris, France.
Philippe VignonMedical-Surgical Intensive Care Unit, Centre Hospitalier Universitaire de Limoges, Limoges, France.ORCID http://orcid.org/0000-0003-4551-5772
Jolie BrunoDepartment of Anesthesiology, Intensive Care & Perioperative Medicine, APHP, Hôpital Européen Georges Pompidou, Paris, France.
Bernard CholleyDepartment of Anesthesiology, Intensive Care & Perioperative Medicine, APHP, Hôpital Européen Georges Pompidou, Paris, France.ORCID http://orcid.org/0000-0001-6388-6011

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionStroke volume is a major determinant of tissue perfusion and, therefore, a key parameter to monitor in patients with haemodynamic instability and hypoperfusion. Left ventricular outflow tract (LVOT) velocity-time integral (VTI) measurement using pulsed-wave Doppler is widely used as an estimation of stroke volume and should be a competence required for every intensive care unit (ICU) physician. Artificial intelligence (AI) applied to ultrasound facilitates the acquisition of adequate images. The aim of the present study is to evaluate the interchangeability of LVOT VTI measurements obtained by minimally trained operators and expert physicians, both guided by AI. METHODS AND ANALYSIS: This is a prospective multicentre randomised controlled trial. ICU patients in whom fluid administration is considered necessary will be included. A minimally trained operator and an expert will independently measure LVOT VTI, guided by the UltraSight AI software to obtain the best five-chamber view, before and after a 250 mL fluid challenge. The order of acquisition between each operator will be randomised. 100 patients will be included.The primary endpoint is the relative difference in LVOT VTI between operators. Secondary outcomes include the concordance of the therapeutic decision made by the blinded physician in charge of the patient based on the measures obtained by each operator, and the agreement between absolute values of LVOT VTI obtained by minimally trained and expert operators. ETHICS AND DISSEMINATION: The study has been reviewed and approved by a regional ethics committee (Comité de Protection des Personnes-Ile de France II-n°24.00671.000291). An information note will be given to the participant before he or she participates in the study. The present study will be disseminated through peer-reviewed publications and academic and medical conferences. TRIAL REGISTRATION NUMBER: NCT06486467.

Indexed as

Artificial IntelligenceHeart VentriclesClinical CompetenceHumansIntensive Care UnitsMulticenter Studies as TopicProspective StudiesRandomized Controlled Trials as TopicReproducibility of ResultsStroke VolumeAdult intensive & critical careArtificial IntelligenceEchocardiographyEDUCATION & TRAINING (see Medical Education & Training)Hemodynamics

Identifiers

PMID41125264
PMCPMC12551547

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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.