Standardizing EUS-guided Gastroenterostomy: a Delphi consensus on technical steps and adverse events management
Bibliographic record
Abstract
Aims EUS-guided gastroenterostomy (EUS-GE) is increasingly used in the management of Gastric Outlet Obstruction. However, significant variability exists in technical choices which might account for heterogeneous clinical outcomes. The aim of this Delphi methodology was to address open questions and to gather expert consensus on key aspects of EUS-GE. Methods A panel of 25 international leading experts in EUS-GE was invited to revise literature around the technique. A Delphi process was conducted over three rounds, with each round involving anonymous voting on 29 predefined statements, using a 5-point Likert scale (1: strongly disagree – 5: totally agree). Responses were analysed through Medians [Interquartile Ranges], with pre-defined thresholds for approval, revision or discard of the statement. Statements reaching final consensus were graded based on the strength of agreement, defined as the proportion of responses rated 4 or 5. Results Response rate was 88% in Round 1 and 100% in Round 2 and 3. Among 29 statements, eight were approved at Round 1, eighteen at Round 2 and four at Round 3, while two were ultimately rejected. There was early and excellent agreement (> 95%) on the need of fluoroscopy for EUS-GE, the need for electrocautery-enhanced Lumen Apposing Metal Stent (LAMS), and the preference for free-hand LAMS release. All panellists agreed that endoscopists performing EUS-GE should be familiar with management of Adverse Events (AEs) such as bleedings or perforations. After discussion, excellent agreement was obtained for the management of AEs (misdeployments and bleedings) and LAMS dysfunctions. Final Strong agreement (> 90%) was reached for preferred patient positioning, the required sedation and the preference for saline solution for jejunal distention. Extensive discussion with final Moderate agreement (> 80%) was reached on the use of dye, the preference for catheter-assisted EUS-GE instead of endoscope- or needle-directed instillation, the typical location for EUS-GE and the operative space required for LAMS release. Statements on the use of contrast and the choice between WEST and EPASS techniques were removed due to lack of agreement. Conclusions Despite technical differences (such as the preference of a jejunal catheter or a double-balloon catheter) most EUS-GE experts agree on key technical principles, providing valuable guidance on the standardization of EUS-GE in clinical practice. Conversely, certain topics show limited agreement, identifying future research priorities in the field of EUS-GE. Publication History Article published online: 27 March 2025 © 2025. European Society of Gastrointestinal Endoscopy. All rights reserved. Georg Thieme Verlag KG Oswald-Hesse-Straße 50, 70469 Stuttgart, Germany
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.340 | 0.326 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".