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Application of Artificial Intelligence-Assisted Systems in Non-erosive Gastroesophageal Reflux Disease

Application of Artificial Intelligence-Assisted Systems in Non-erosive Gastroesophageal Reflux Disease

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600125107
Enrollment
Unknown
Registered
2026-05-21
Start date
2026-05-27
Completion date
Unknown
Last updated
2026-05-25

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

non-erosive reflux disease

Interventions

Part One:None
Part Two:None
Part Three:None

Sponsors

Suining Central Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. The first part explores the correlation between different characteristic changes of NERD and reflux. The study subjects were patients diagnosed with NERD at Suining Central Hospital from 2018 to 2026, who had gastroscopy, high-resolution esophageal manometry, and reflux monitoring data. Inclusion criteria: patients diagnosed with NERD, with complete gastroscopy, high-resolution esophageal manometry, and reflux monitoring (24-hour pH monitoring or 24-hour pH combined impedance monitoring) data. Diagnostic criteria for NERD: long disease course (>6 months), reflux-related symptoms, endoscopy findings not corresponding to Los Angeles classification of reflux esophagitis, acid exposure time >4.0%. 2. The second part of the study establishes an AI-assisted NERD diagnostic model. The study subjects were images obtained from the Digestive Endoscopy Center of Suining Central Hospital from 2018 to 2026. Inclusion criteria: images of the gastroesophageal junction that meet upper gastrointestinal endoscopy standards. 3. The third part of the study verifies the diagnostic performance of the model. The study subjects were images obtained from the Digestive Endoscopy Center of Suining Central Hospital after completing parts one and two of the study. Inclusion criteria: patients over 18 years old, referred for upper gastrointestinal endoscopy for screening, gastrointestinal symptom investigation, or monitoring.

Exclusion criteria

Exclusion criteria: 1. Exclusion criteria for the first part of the study: Poor-quality gastroscopic images of the gastroesophageal junction (GEJ); acid exposure time (AET) < 4.0%; reflux esophagitis (RE); Barrett's esophagus (BE); gastroesophageal outflow obstruction (GOO); eosinophilic esophagitis (EoE); hiatal hernia; history of upper gastrointestinal surgery; malignant esophageal tumors. 2. Exclusion criteria for the second part of the study:Images of the gastroesophageal junction (GEJ) that do not meet the standards of upper gastrointestinal endoscopy. 3. Exclusion criteria for the third part of the study: Pregnancy; malignant esophageal tumors; history of upper gastrointestinal surgery; esophageal stasis; patients with known active upper gastrointestinal bleeding, those undergoing emergency endoscopy, patients with esophageal stricture or severe underlying diseases; patients who refuse to participate.

Design outcomes

Primary

MeasureTime frame
Detection rate of lesions;24-hour esophageal pH monitoring;Accuracy;

Secondary

MeasureTime frame
high resolution esophageal manometry;twenty-four hours esophageal multiple channel intraluminal pH-impedance reflux monitoring;

Countries

China

Contacts

Public ContactSuYu He

Suining Central Hospital

hesuyu2009@163.com+86 180 0825 8565

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: May 30, 2026