Cl-Pharm-IBS-ML-2026

NCT07809646 | Not Yet Recruiting

• 1 other identifier: REC-TU-2026-85
• Study Type: observational
• Target: 500
• Locations: 0 countries
• Sites: N/A

Brief Summary

The purpose of this study is to identify distinct subgroups (phenotypes) of Irritable Bowel Syndrome (IBS) patients. While traditional IBS classification relies mainly on bowel habits, this research uses a multidimensional questionnaire to capture clinical symptoms, psychological factors, diet triggers, sleep quality, and digital behaviors. By applying advanced machine learning algorithms to these patient-reported outcomes, the study aims to uncover hidden patterns that can help customize future treatments and improve patient care.

Conditions

IBS

Outcome Measures

Primary Outcomes (1)

• Distinct patient subgroups (phenotypes) identified through unsupervised machine learning clustering algorithms.

  At the time of questionnaire completion (Baseline)

Interventions

Questionnaire and Physical Exam OTHER

ONLINE QUESTIONNAIRE

Eligibility Criteria

• Age: 18 Years - 65 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

A convenience sample of adult patients with a physician-confirmed diagnosis of Irritable Bowel Syndrome (IBS) recruited from online health communities, clinical networks, and social media platforms. The population includes individuals across various demographic backgrounds, IBS subtypes, and symptom severity levels, who are capable of completing a digital questionnaire regarding their clinical and lifestyle characteristics.

You may qualify if:

• Participants aged 18 years or older.
• Formal physician-confirmed diagnosis of Irritable Bowel Syndrome (IBS).
• Ability to access and complete the digital multidimensional questionnaire.
• Willingness to provide digital informed consent.

You may not qualify if:

• Presence of organic gastrointestinal diseases (e.g., Inflammatory Bowel Disease, celiac disease, or colorectal cancer).
• Presence of alarm/red flag symptoms (e.g., nocturnal symptoms waking the patient).
• Incomplete or inconsistent questionnaire responses.

Sponsors & Collaborators

• Tanta University: lead

MeSH Terms

Interventions

Surveys and Questionnaires; Restraint, Physical

Intervention Hierarchy (Ancestors)

Data Collection; Epidemiologic Methods; Investigative Techniques; Health Care Evaluation Mechanisms; Quality of Health Care; Health Care Quality, Access, and Evaluation; Public Health; Environment and Public Health; Behavior Control; Therapeutics; Immobilization

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Director

Study Record Dates

• First Submitted: September 3, 2026
• First Posted: September 9, 2026
• Study Start: September 20, 2026
• Primary Completion (Estimated): January 1, 2027
• Study Completion (Estimated): January 1, 2027
• Last Updated: September 11, 2026

Record last verified: 2026-09