Evidence map›Paper›PMID 33083388›Full record

ReviewWorld journal of clinical cases2020

Review of simulation model for education of point-of-care ultrasound using easy-to-make tools.

Kyu Chul Shin, Young Rock Ha, Seong-Joon Lee, Jung Hwan Ahn

Abstract readReview
In one paragraph

Review in World journal of clinical cases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Kyu Chul ShinDepartment of Emergency Medicine, Ajou University School of Medicine, Suwon 16499, Gyeonggi-do, South Korea.
Young Rock HaDepartment of Emergency Medicine, Bundang Jesaeng Hospital, Seongnam-si 13590, South Korea.
Seong-Joon LeeDepartment of Neurology, Ajou University School of Medicine, Suwon 16499, Gyeonggi-do, South Korea.
Jung Hwan AhnDepartment of Emergency Medicine, Ajou University School of Medicine, Suwon 16499, Gyeonggi-do, South Korea. erdrajh@naver.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Point-of-care ultrasound (POCUS) is a powerful diagnostic tool and provides treatment guidelines in acute critical settings. However, the limitation of using POCUS is operator dependent. Appropriate and validated training for acquiring and using skills in practice must be conducted before using POCUS in clinical settings in order to keep patients safe. Simulation education models have been introduced as a way to solve and overcome these concerns. However, the commercial simulator with sufficiently secured fidelity is expensive and not always available. This review focused on the inexpensive and easily made simulators for education on POCUS in critical specific situations related to the airway, breathing, circulation, and disability. We introduced the simulators that used non-infectious materials, with easily transportable features, and that had a sonographic appearance reproducibility similar to human tissue. We also introduced the recipe of each simulator in two parts: Materials surrounding disease simulators (surrounding materials) and specific disease simulators themselves (target simulators). This review article covered the following: endotracheal or oesophageal intubation, lung (A-lines, B-lines, lung sliding, and pleural effusions such as hemothorax), central vein access, pericardial fluid (cardiac tamponade), the structure related to the eyes, soft tissue abscess, nerve (regional nerve block), and skull fracture simulators.

Indexed as

Critical careEducationEmergency medicinePoint-of-careSimulation trainingUltrasonography

Identifiers

PMID33083388
PMCPMC7559657

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.