Development of Machine Learning Models to Predict Postoperative GERD Symptom Resolution After Laparoscopic Nissen Fundoplication
Development of Elastic Net Regression-SMOTE Models to Predict Postoperative Gastroesophageal Reflux Symptom Resolution After Laparoscopic Nissen Fundoplication
1 other identifier
observational
112
1 country
1
Brief Summary
This study aims to develop machine learning models to predict postoperative gastroesophageal reflux symptom resolution after laparoscopic Nissen fundoplication using Elastic Net regression and synthetic minority oversampling technique (SMOTE).
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Feb 2017
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
February 1, 2017
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 28, 2024
CompletedFirst Submitted
Initial submission to the registry
March 2, 2025
CompletedFirst Posted
Study publicly available on registry
March 6, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
August 31, 2025
CompletedJune 26, 2025
February 1, 2025
7.1 years
March 2, 2025
June 23, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Model performance of novel models
A total of 21 models will be developed to predict the resolution of heartburn, regurgitation, or atypical symptoms using the results of manometry, 24-hour esophageal pH monitoring, or both, with seven models for each symptom. All models will also incorporate the results of EGD. Elastic Net regression and the SMOTE method will be applied to oversample the minority class and develop the model. Model performance including AUC, sensitivity (or recall), specificity, accuracy, precision, and F1 score will be validated using 5-fold cross-validation.
Symptoms were assessed before surgery and at 1, 3, 6, 9, and 12 months after surgery
Secondary Outcomes (1)
Results from calibration analysis of novel models
Symptoms were assessed before surgery and at 1, 3, 6, 9, and 12 months after surgery
Other Outcomes (1)
Predictive performance of conventional predictors and possible predictors
Symptoms were assessed before surgery and at 1, 3, 6, 9, and 12 months after surgery
Study Arms (2)
Symptom resolution group
Preoperative and postoperative gastroesophageal symptoms, including heartburn and regurgitation, were evaluated using the GERD-HRQL and the Korean version of the GERD questionnaire. Postoperative symptoms were assessed at 1, 3, 6, 9, and 12 months after laparoscopic Nissen fundoplication. Patients with more than a 70% improvement in symptoms at the last follow-up will be classified as the symptom resolution group.
Symptom non-resolution group
Preoperative and postoperative gastroesophageal symptoms, including heartburn and regurgitation, were evaluated using the GERD-HRQL and the Korean version of the GERD questionnaire. Postoperative symptoms were assessed at 1, 3, 6, 9, and 12 months after laparoscopic Nissen fundoplication. Patients with less than a 70% improvement in symptoms at the last follow-up will be classified as the symptom non-resolution group.
Interventions
Laparoscopic Nissen fundoplication (LNF) is the most commonly performed anti-reflux surgery. LNF is performed in patients with GERD refractory to medication or those expected to require long-term medical treatment. During LNF, the fundus of the stomach is mobilized and wrapped 360 degrees around the lower esophagus to reinforce the lower esophageal sphincter (LES), preventing the reflux of gastric contents into the esophagus.
Eligibility Criteria
Patients who underwent laparoscopic Nissen fundoplication
You may qualify if:
- patients with age greater than 19 years
- patients who underwent laparoscopic Nissen fundoplication from February 2017 to February 2023
- patients who answered the GERD-HRQL questionnaire or the Korean version of the GERD questionnaire to assess preoperative and postoperative gastroesophageal reflux symptoms
- patients who underwent esophagogastroduodenoscopy before surgery
- patients who underwent esophageal manometry, 24-hour esophageal pH monitoring, or both before surgery
You may not qualify if:
- pregnant
- patients who were lost to follow-up before 3 months after surgery
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Korea University Anam Hospital
Seoul, 02841, South Korea
Related Publications (6)
Tay JK, Narasimhan B, Hastie T. Elastic Net Regularization Paths for All Generalized Linear Models. J Stat Softw. 2023;106:1. doi: 10.18637/jss.v106.i01. Epub 2023 Mar 23.
PMID: 37138589BACKGROUNDPark S, Park SH, Kim MS, Kwak J, Lee I, Kwon Y, Lee CM, Choi HS, Keum B, Yang KS, Park JM, Park S. Exploring objective factors to predict successful outcomes after laparoscopic Nissen fundoplication. Int J Surg. 2023 May 1;109(5):1239-1248. doi: 10.1097/JS9.0000000000000274.
PMID: 37026848BACKGROUNDJung SW, Lee I, Lee I, Kim JW, Alromi A, Seo WJ, Park SH, Kwon Y, Jang YJ, Lee CM, Kim JH, Park JM, Park S. Bolus exposure as a novel predictor of postoperative symptom resolution after laparoscopic Nissen fundoplication: a two-institutional retrospective cohort study. Int J Surg. 2024 Dec 1;110(12):7919-7928. doi: 10.1097/JS9.0000000000002124.
PMID: 39453844BACKGROUNDFarrell TM, Richardson WS, Trus TL, Smith CD, Hunter JG. Response of atypical symptoms of gastro-oesophageal reflux to antireflux surgery. Br J Surg. 2001 Dec;88(12):1649-52. doi: 10.1046/j.0007-1323.2001.01949.x.
PMID: 11736981BACKGROUNDYamasaki T, Fass R. Reflux Hypersensitivity: A New Functional Esophageal Disorder. J Neurogastroenterol Motil. 2017 Oct 30;23(4):495-503. doi: 10.5056/jnm17097.
PMID: 28992673BACKGROUNDZhang D, Liu S, Li Z, Wang R. Global, regional and national burden of gastroesophageal reflux disease, 1990-2019: update from the GBD 2019 study. Ann Med. 2022 Dec;54(1):1372-1384. doi: 10.1080/07853890.2022.2074535.
PMID: 35579516BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
March 2, 2025
First Posted
March 6, 2025
Study Start
February 1, 2017
Primary Completion
February 28, 2024
Study Completion
August 31, 2025
Last Updated
June 26, 2025
Record last verified: 2025-02
Data Sharing
- IPD Sharing
- Will not share
According to private information law, the IPD generated and/or analyzed for this study will not be shared.