ArticleSurgical endoscopy2023
Gastric myoelectrical activity based AI-derived threshold predicts resolution of gastroparesis post-pyloric balloon dilation.
Article in Surgical endoscopy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.
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Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.
- Artificial Intelligence in Gastrointestinal Motility Diagnostics: A Systematic Review.Neurogastroenterology and motility · 2026Pooled it
- Radiomics and artificial intelligence-based prediction of tumor response in digestive system neoplasm: a systematic review and meta-analysis.Frontiers in medicine · 2026Pooled it
- Artificial intelligence in gastrointestinal surgery: A systematic review.World journal of gastrointestinal surgery · 2025Article
- Gastroparesis, a diabetic complication causing further, even serious, complications: How to prevent its worsening?World journal of gastroenterology · 2025Article
- Prevalence of Upper Gastrointestinal Symptoms and Gastric Dysrhythmias in Diabetic and Non-Diabetic Indian Populations: A Real-World Retrospective Analysis from Electrogastrography Data.Diagnostics (Basel, Switzerland) · 2025Article
- Endoscopic mucosal electrodes: New directions for recording and regulating gastric myoelectric activity.Frontiers in surgery · 2022Review
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA patient subset with gastroparesis (GP) has normal gastric myoelectrical activity (GMA) and pyloric dysfunction.
aims(1) To determine pyloric balloon dilation (BD) effect on symptoms and gastric emptying in GP patients with normal 3 cycles per minute (cpm) GMA. (2) To demonstrate GMA-based artificial intelligence (AI)-derived formulae predict BD success at 10-12-month follow-up.
methodsCohort subjects completed baseline electrogastrogram w/water load satiety test (WLST), solid-phase nuclear gastric emptying, Gastrointestinal Cardinal Symptom Index (ANMS GCSI-DD) and Leeds questionnaires. Subjects were divided into two groups based on response to the WLST. Group 1 (n = 26) with hypernormal/normal 3 cpm GMA and Group 2 (n = 4) hyponormal/normal range 3 cpm GMA, compared to healthy normals. All subjects underwent endoscopic pyloric BD. After 10-12 months, gastric emptying and dyspepsia questionnaires were repeated to evaluate outcomes.
resultsGroup 1 ANMS GCSI-DD scores improved from 2 points at baseline (BL) to 0 at follow-up (f/u) (p < 0.001); Group 2 ANMS GSCI-DD scores were 2 at BL and 1.6 at f/u (p = 0.25). Leeds scores improved (p < 0.001) only for Group 1. Group 1 gastric emptying improved (54.5% retained at 2 h at BL vs. 12.2% at f/u, p < 0.001) in contrast to Group 2 patients (51.25% at BL vs. 56.25% at f/u, p = 0.252). Percentage 3 cpm GMA decreased (41.1% at BL vs. 24.9% at f/u, p ≤ 0.005) in Group 1 versus Group 2 (15.3% at BL vs. 23.4% at f/u, p = 0.114). AI-derived GMA threshold (GMAT) of 0.59 predicted positive pyloric BD outcomes at 10-12 months with sensitivity 96%, specificity 75%, and 93% correct classification.
conclusionsPyloric BD improved symptoms and gastric emptying long term in patients with GP and hypernormal/normal 3 cpm GMA. AI-derived GMAT predicted pyloric BD success. GMA post-WLST and GMAT are objective measures for improved selection and outcomes for endoscopic pyloric BD.
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