Evidence map›Paper›PMID 29018630›Full record

ArticleIEEE journal of translational engineering in health and medicine2017

A Versatile Ultrasound Simulation System for Education and Training in High-Fidelity Emergency Scenarios.

Saverio Farsoni, Luca Astolfi, Marcello Bonfe, Savino Spadaro, Carlo Alberto Volta

Open access · goldAbstract read
In one paragraph

Article in IEEE journal of translational engineering in health and medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 22% of its field
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

8 citing papers in PubMed, 22 citations in OpenAlex.

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  7. Development of a novel massage platform for medical training.Technology and health care : official journal of the European Society for Engineering and Medicine · 2020
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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 at 1 institution in 1 country.

Saverio FarsoniDepartment of EngineeringUniversity of Ferrara.
Luca AstolfiDepartment of Morphology, Surgery and Experimental MedicineInstitution of Anesthesia and Intensive CareUniversity of Ferrara.
Marcello BonfeDepartment of EngineeringUniversity of Ferrara.
Savino SpadaroDepartment of Morphology, Surgery and Experimental MedicineInstitution of Anesthesia and Intensive CareUniversity of Ferrara.
Carlo Alberto VoltaDepartment of Morphology, Surgery and Experimental MedicineInstitution of Anesthesia and Intensive CareUniversity of Ferrara.
University of Ferrara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Point of care ultrasonography and the related focused assessment with sonography for trauma protocol, if performed by experienced physicians, is a highly sensitive examination, and specific for the detection of free fluids. Different systems and methods have been proposed for training, including simulation as one of the most efficient. This paper presents an ultrasound training system, specifically designed to be used during bedside high fidelity simulation scenarios, that could facilitate the learning process. The development of the proposed system exploited novel rapid prototyping electronic boards as a means to obtain good performances with a low cost. Moreover, the design of the data structure permits the construction of a library that caters for individual needs, with the possibility of adding emergency scenarios, collecting pictures or videos, as well as 3-D volumes. The device has been compared with currently commercial ultrasound simulators and its innovative aspects have been highlighted. Finally, it has been tested during a training session in order to evaluate features, such as realism and user-friendliness.

Indexed as

Biomedical image processingmedical simulationpoint of care ultrasonographysensor systems and applicationstrainingultrasound

Identifiers

PMID29018630
PMCPMC5477762
OpenAlexW2577529092

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.