Evidence map›Paper›PMID 40838151›Full record

ReviewWorld journal of gastrointestinal endoscopy2025

Endoscopic ultrasound training: Current state, challenges, and the path to proficiency.

Hanane Delsa, Wafaa Khannoussi, Elsayed Ghoneem, Hussein Hassan Okasha

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in World journal of gastrointestinal endoscopy, 2025. 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. 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.

Hanane DelsaDepartment of Gastroenterology and Hepatology, Cheikh Khalifa International University Hospital, Mohammed VI University of Sciences and Health, Casablanca 82403, Casablanca-Settat, Morocco.
Wafaa KhannoussiDepartment of Gastroenterology and Hepatology, Cheikh Khalifa International University Hospital, Mohammed VI University of Sciences and Health, Casablanca 82403, Casablanca-Settat, Morocco.
Elsayed GhoneemDepartment of Gastroenterology and Hepatology, Faculty of Medicine, Mansoura University, Mansoura 35511, Egypt.
Hussein Hassan OkashaDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Kasr Al-Aini School of Medicine, Cairo University, Cairo 11562, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endoscopic ultrasound (EUS) is an indispensable tool for the diagnosis and management of various diseases, particularly biliopancreatic disorders, as it provides detailed visualization of the gastrointestinal tract and surrounding structures. As the demand for diagnostic and interventional EUS procedures increases, ensuring high-quality training for endoscopists is essential to improve patient outcomes. This mini-review provides an overview of the current state of EUS training and emphasizes the importance of a structured approach that integrates theoretical knowledge and hands-on experience. We discuss different training methods, focusing on the main courses available worldwide, and highlight their advantages and limitations. In addition, we examine the challenges of training for diagnostic and interventional EUS, such as limited access to training centers and the need for personalized feedback. Overall, improving EUS training programs is essential to enhance physician skills and ensure this advanced technique is used safely and efficiently in clinical practice.

Indexed as

CertificateDiplomaEndoscopic ultrasoundHands-onModelTraining

Identifiers

PMID40838151
PMCPMC12362506

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.