NCT06862037

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

55
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
112

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Feb 2017

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
active not recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

February 1, 2017

Completed
7.1 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

February 28, 2024

Completed
1 year until next milestone

First Submitted

Initial submission to the registry

March 2, 2025

Completed
4 days until next milestone

First Posted

Study publicly available on registry

March 6, 2025

Completed
6 months until next milestone

Study Completion

Last participant's last visit for all outcomes

August 31, 2025

Completed
Last Updated

June 26, 2025

Status Verified

February 1, 2025

Enrollment Period

7.1 years

First QC Date

March 2, 2025

Last Update Submit

June 23, 2025

Conditions

Keywords

Gastroesophageal reflux diseaseLaparoscopic Nissen fundoplicationMachine learningElastic Net regressionSMOTEendoscopyesophagogastroduodenoscopyesophageal pH monitoringmanometry

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.

Procedure: Laparoscopic Nissen fundoplication

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.

Procedure: Laparoscopic Nissen fundoplication

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.

Symptom non-resolution groupSymptom resolution group

Eligibility Criteria

Age20 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

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

Location

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: 37138589BACKGROUND
  • Park 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: 37026848BACKGROUND
  • Jung 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: 39453844BACKGROUND
  • Farrell 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: 11736981BACKGROUND
  • Yamasaki 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: 28992673BACKGROUND
  • Zhang 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

Gastroesophageal Reflux

Condition Hierarchy (Ancestors)

Esophageal Motility DisordersDeglutition DisordersEsophageal DiseasesGastrointestinal DiseasesDigestive System Diseases

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.

Locations