Evidence map›Paper›PMID 30777941›Full record

ArticleEndoscopic ultrasound

Use of simulator for EUS training in the diagnosis of pancreatobiliary diseases.

Jie Gao, Jun Fang, Zhendong Jin, Dong Wang, Zhaoshen Li

Abstract read
In one paragraph

Article in Endoscopic ultrasound. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Jie GaoDepartment of Gastroenterology, Changhai Hospital, The Second Military University, Shanghai, China.
Jun FangDepartment of Gastroenterology, Changhai Hospital, The Second Military University, Shanghai, China.
Zhendong JinDepartment of Gastroenterology, Changhai Hospital, The Second Military University, Shanghai, China.
Dong WangDepartment of Gastroenterology, Changhai Hospital, The Second Military University, Shanghai, China.
Zhaoshen LiDepartment of Gastroenterology, Changhai Hospital, The Second Military University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesEUS has been widely used in the diagnosis of pancreatobiliary diseases. However, improvements in the conventional training pattern of EUS are needed urgently. In this study, we compared the results achieved after use of clinical practice training patterns combined with or without simulator training and evaluated the effectiveness of simulator use in EUS training. SUBJECTS AND

methodsThe trainees were randomly divided into two groups: the experimental group was trained with both clinical practice and simulator training system and the control group was only trained through clinical practice. After 1 month of training, trainees of both groups were tested with an established technical evaluation procedure that aimed to assess trainees' ability to examine the normal anatomical structure. Then, trainees in the experimental group completed a questionnaire.

resultsThe mean test score of the experimental group (64.53 ± 4.91) was significantly greater than that of the control group (60.09 ± 5.49; P= 0.028). Moreover, the individual test score of trainees in the experimental group was positively correlated with the frequency of simulator use (P = 0.242).

conclusionSimulator training can promote trainees' ability to evaluate the normal anatomical structure, and thus, can improve the efficiency of the EUS training program.

Indexed as

DiagnosisEUSpancreatobiliary systemsimulatortraining

Identifiers

PMID30777941
PMCPMC6400094

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.