NLP to Aid in the Evaluation and Diagnosis of FGIDs

NCT ID: NCT05501028

Last Updated: 2025-11-04

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

ENROLLING_BY_INVITATION

Total Enrollment

700 participants

Study Classification

OBSERVATIONAL

Study Start Date

2018-08-09

Study Completion Date

2026-07-01

Brief Summary

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The study has two arms, where the same natural language processing (NLP) and probabilistic graphical modeling technology will be utilized on patients' report of symptoms in both arms. The clinical arm is focused on patients presenting for consultation with a gastroenterologist. The endoscopy arm is focused generally on patients presenting for a diagnostic endoscopy, with the goal of capturing Functional Gastrointestinal Disorder (FGID) patients prior to diagnosis.

Detailed Description

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Conditions

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Functional Gastrointestinal Disorders

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Patients scheduled for consult with gastroenterologist

No interventions assigned to this group

Patients scheduled for diagnostic endoscopy

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* Scheduled for consult in the Motility Clinic in the MGH Gastroenterology Unit or for diagnostic endoscopy in the MGH Gastroenterology Unit
* Patient must agree to have their interactions audio-recorded
* Informed consent form signed by the subjects

Exclusion Criteria

* Non-native English speaker
* Patients unable to communicate their own symptoms
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Massachusetts Institute of Technology

OTHER

Sponsor Role collaborator

Massachusetts General Hospital

OTHER

Sponsor Role lead

Responsible Party

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Kyle Staller, MD, MPH

Principal Investigator

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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Massachusetts General Hospital

Boston, Massachusetts, United States

Site Status

Countries

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United States

Other Identifiers

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2018P001542

Identifier Type: -

Identifier Source: org_study_id

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