ArticleSurgical endoscopy2025
Endoscopic sleeve gastroplasty video assessment: do technical features influence ESG integrity and weight loss at 6 and 12 months follow-up?
Article in Surgical endoscopy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Artificial Intelligence Applications in Endoscopic Sleeve Gastroplasty: A Systematic Review of Preliminary Evidence.Obesity surgery · 2026Pooled it
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEndoscopic Sleeve Gastroplasty (ESG) allows for gastric volume reduction and shortening leading to weight loss and resolution of obesity-related comorbidities. While position statements and recommendations are being developed, limited studies have explored how technique influences outcomes. Video-based assessment (VBA) of endoscopic and surgical procedures are increasingly being adopted to achieve a deeper understanding of procedures technical aspects. This study explores how ESG technical features and anatomical landmarks relate to outcomes, and to develop predictive models from them.
methodsVideos of ESG were collected, and an annotation manual was developed by an ESG expert, outlining technical and anatomical landmarks possibly influencing 6 and 12 month outcomes. Evaluated outcomes included technical (i.e., intact gastroplasty) and clinical (i.e., total and excess weight loss percentages) success. Two independent surgeons annotated the videos. Analysis of annotated features and of an engineered feature was performed; predictive regression models were developed. Pearson correlation and inter-rater reliability (IRR) of the annotations were evaluated.
resultsForty videos were annotated. The features "Bleeding," "Hemicircumferential" suture pattern encircling 180° of the stomach's incisura, "Suture number" and "Regular tubular ESG" configuration were analyzed. The engineered feature "Suture_Regular" defined by a combination of Regular tubular ESG" and "Suture number" was developed and analyzed. Predictive models were developed using progressively expanded feature sets in various combinations. XGBoost models demonstrated best performances across outcomes and timepoints, with R
conclusionVBA can enhance the understanding of endoscopic techniques. Combinations of events occurring during ESG and technique-specific features can be used to predict technical and clinical success. Future studies should include multicentric data to enhance models generalizability. Automating feature recognition could enable real-time guidance and improve patient management.
Indexed as
Identifiers
40804543What Socratic holds
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 Socratic graph.