Evidence map›Paper›PMID 39729150›Full record

SynthesisJournal of clinical monitoring and computing2025

Automated and reference methods for the calculation of left ventricular outflow tract velocity time integral or ejection fraction by non-cardiologists: a systematic review on the agreement of the two methods.

Filipe André Gonzalez, Mateusz Zawadka, Rita Varudo, Simone Messina, Alessandro Caruso, Cristina Santonocito, Michel Slama, Filippo Sanfilippo

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of clinical monitoring and computing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Microbubble Contrast Agent Use During Invasive Coronary Microvascular Assessment.Journal of the Society for Cardiovascular Angiography & Interventions · 2025
    Article
  4. 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.

Filipe André GonzalezIntensive Care Department of Hospital Garcia de Orta, Almada, Portugal. filipeandregonzalez@edu.ulisboa.pt.ORCID 0000-0002-8539-1092
Mateusz Zawadka2nd Department of Anaesthesiology and Intensive Care, Medical University of Warsaw, Warsaw, Poland.ORCID 0000-0003-3058-7984
Rita VarudoIntensive Care Department of Hospital Garcia de Orta, Almada, Portugal.ORCID 0000-0001-5201-8198
Simone MessinaDepartment of Anesthesia and Intensive Care, "Policlinico San Marco" University Hospital, Catania, Italy.ORCID 0000-0002-5403-6813
Alessandro CarusoDepartment of Anesthesia and Intensive Care, "Policlinico San Marco" University Hospital, Catania, Italy.
Cristina SantonocitoDepartment of Anesthesia and Intensive Care, "Policlinico San Marco" University Hospital, Catania, Italy.ORCID 0000-0002-4213-9153
Michel SlamaMedical Intensive Care Unit, Hospital Sud Amiens, Amiens, France.
Filippo SanfilippoDepartment of Anesthesia and Intensive Care, "Policlinico San Marco" University Hospital, Catania, Italy. filipposanfi@yahoo.it.ORCID 0000-0001-5144-0776

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Echocardiography is crucial for evaluating patients at risk of clinical deterioration. Left ventricular ejection fraction (LVEF) and velocity time integral (VTI) aid in diagnosing shock, but bedside calculations can be time-consuming and prone to variability. Artificial intelligence technology shows promise in providing assistance to clinicians performing point-of-care echocardiography. We conducted a systematic review, utilizing a comprehensive literature search on PubMed, to evaluate the interchangeability of LVEF and/or VTI measurements obtained through automated mode as compared to the echocardiographic reference methods in non-cardiology settings, e.g., Simpson´s method (LVEF) or manual trace (VTI). Eight studies were included, four studying automated-LVEF, three automated-VTI, and one both. When reported, the feasibility of automated measurements ranged from 78.4 to 93.3%. The automated-LVEF had a mean bias ranging from 0 to 2.9% for experienced operators and from 0% to -10.2% for non-experienced ones, but in both cases, with wide limits of agreement (LoA). For the automated-VTI, the mean bias ranged between - 1.7 cm and - 1.9 cm. The correlation between automated and reference methods for automated-LVEF ranged between 0.63 and 0.86 for experienced and between 0.56 and 0.81 for non-experienced operators. Only one study reported a correlation between automated-VTI and manual VTI (0.86 for experienced and 0.79 for non-experienced operators). We found limited studies reporting the interchangeability of automated LVEF or VTI measurements versus a reference approach. The accuracy and precision of these automated methods should be considered within the clinical context and decision-making. Such variability could be acceptable, especially in the hands of trained operators. PROSPERO number CRD42024564868.

Indexed as

EchocardiographyHeart VentriclesStroke VolumeVentricular Function, LeftAlgorithmsArtificial IntelligenceAutomationBlood Flow VelocityHumansPoint-of-Care SystemsReproducibility of ResultsVentricular Dysfunction, LeftArtificial intelligenceCritical careEchocardiographyLeft ventricle ejection fractionVelocity time integral

Identifiers

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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.