Evidence map›Paper›PMID 35127855›Full record

ReviewFrontiers in cardiovascular medicine2021

Assessment of Phasic Changes of Vascular Size by Automated Edge Tracking-State of the Art and Clinical Perspectives.

Luca Mesin, Stefano Albani, Piero Policastro, Paolo Pasquero, Massimo Porta, Chiara Melchiorri, Gianluca Leonardi, Carlo Albera, Paolo Scacciatella, Pierpaolo Pellicori and 11 more

Abstract readReview
In one paragraph

Review in Frontiers in cardiovascular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
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

21 authors.

Luca MesinMathematical Biology and Physiology, Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy.
Stefano AlbaniSC Cardiologia Ospedale Regionale U. Parini, Aosta, Italy.
Piero PolicastroMathematical Biology and Physiology, Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy.
Paolo PasqueroDepartment of Medical Sciences, Universitá di Torino, Turin, Italy.
Massimo PortaDepartment of Medical Sciences, Universitá di Torino, Turin, Italy.
Chiara MelchiorriDepartment of Medical Sciences, Universitá di Torino, Turin, Italy.
Gianluca LeonardiDepartment of Medical Sciences, Universitá di Torino, Turin, Italy.
Carlo AlberaDepartment of Medical Sciences, Universitá di Torino, Turin, Italy.
Paolo ScacciatellaSC Cardiologia Ospedale Regionale U. Parini, Aosta, Italy.
Pierpaolo PellicoriRobertson Centre for Biostatistics, Research Institute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Davide StolfoDepartment of Medical, Surgical and Health Sciences, Universitá di Trieste, Trieste, Italy.
Andrea GrilloDepartment of Medical, Surgical and Health Sciences, Universitá di Trieste, Trieste, Italy.
Bruno FabrisDepartment of Medical, Surgical and Health Sciences, Universitá di Trieste, Trieste, Italy.
Roberto BiniChirurgia Generale e Trauma Team GOM Niguarda, Milan, Italy.
Alberto GiannoniScuola Superiore Sant'Anna, Pisa, Italy.
Antonio PepeHighly Specialized in Rehabilitation Hospital-ORAS S.p.A., Motta di Livenza, Italy.
Leonardo ErminiIntegrative Physiology Lab, Department of Neuroscience, Universitá di Torino, Turin, Italy.
Stefano SeddoneIntegrative Physiology Lab, Department of Neuroscience, Universitá di Torino, Turin, Italy.
Gianfranco SinagraRobertson Centre for Biostatistics, Research Institute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Francesco Antonini-CanterinHighly Specialized in Rehabilitation Hospital-ORAS S.p.A., Motta di Livenza, Italy.
Silvestro RoattaIntegrative Physiology Lab, Department of Neuroscience, Universitá di Torino, Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessment of vascular size and of its phasic changes by ultrasound is important for the management of many clinical conditions. For example, a dilated and stiff inferior vena cava reflects increased intravascular volume and identifies patients with heart failure at greater risk of an early death. However, lack of standardization and sub-optimal intra- and inter- operator reproducibility limit the use of these techniques. To overcome these limitations, we developed two image-processing algorithms that quantify phasic vascular deformation by tracking wall movements, either in long or in short axis. Prospective studies will verify the clinical applicability and utility of these methods in different settings, vessels and medical conditions.

Indexed as

arterial stiffnessfluid volume assessmentinferior vena cavapulsatilityright atrial pressureultrasound imaging

Identifiers

PMID35127855
PMCPMC8814097

What OpenQuestion holds

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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.