Evidence map›Paper›PMID 32913147›Full record

ArticleEndoscopic ultrasound

Exploration of an effective training system for the diagnosis of pancreatobiliary diseases with EUS: A prospective study.

Chaoqun Han, Chi Nie, Xiaoping Shen, Tao Xu, Jun Liu, Zhen Ding, Xiaohua Hou

Registry-linked trialOpen access · greenAbstract 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. It is linked to trial NCT06279546 (Comparative Evaluation of Artificial Intelligence and Endoscopists´ Accuracy in Endoscopic Ultrasound for Identifying Normal Anatomical Structures), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 24% 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.

NCT06279546 completednot on this map

Comparative Evaluation of Artificial Intelligence and Endoscopists´ Accuracy in Endoscopic Ultrasound for Identifying Normal Anatomical Structures: A Multi-institutional, Cross-sectional Study

Typeobservational_patient_registrySponsorInstituto Ecuatoriano de Enfermedades DigestivasRan2023 to 2024Enrolled30ConditionsGastrointestinal DiseasesArmsDetection of structures
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 13 citations in OpenAlex.

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

7 authors at 3 institutions in 1 country.

Chaoqun HanDivision of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
Chi NieDivision of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
Xiaoping ShenDivision of Gastroenterology, Jianshi People's Hospital, Enshi, Wuhan, Hubei Province, China.
Tao XuDivision of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
Jun LiuDivision of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
Zhen DingDivision of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
Xiaohua HouDivision of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
Huazhong University of Science and Technology · CNUnion Hospital · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveThere are limited data on multistage-based training programs focused on EUS. We aimed to explore an effective training system for diagnosing pancreaticobiliary diseases with EUS. MATERIALS AND

methodsNine advanced endoscopy trainees (AETs) with less EUS experience from nine institutions were recruited. The training system consisted of multiple stages and multi-teaching methods, including biliopancreatic standard scanning, anatomy and imaging knowledge, simulator, hands-on operations, error correction, and case analysis over a 12-month training period. Grading for technical and cognitive skills was assessed using The EUS Skills Assessment Tool.

resultsAfter training, the overall scores for radial (4.16 ± 0.21 vs. 1.46 ± 0.16, P < 0.01) and linear (4.43 ± 0.20 vs. 1.63 ± 0.23, P < 0.01) scanning were significantly improved. The aortopulmonary window/mediastinum station can be learned more easily by AETs compared with other stations (P = 0023). The scanning of the descending part of the duodenum seemed to improve the slowest after training (P = 0.0072), indicating that the descending part of the duodenum can be more difficult and should be the focus of training. Every teaching method heightened EUS competence, especially case analysis and hands-on operations. AETs achieved equivalent EUS competence after training despite their initial experience. Through a poststudy questionnaire, it was found that all AETs strongly agreed they were satisfied with the training system, and their confidence was greatly enhanced when EUS was performed independently.

conclusionsThe current multistage and multi-methods training system showed efficient performance in the cognitive and technical competence of EUS. Descending part of duodenum scanning was difficult for beginners and should be the focus of training.

Indexed as

biliopancreaticeducationEUStraining

Identifiers

PMID32913147
PMCPMC7811728
OpenAlexW3084292679

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

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.