Cl-Pharm-IBS-ML-2026
ConditionIBS
Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18-65
SponsorTanta University
About this trial
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.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
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.
Disqualifiers
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.
Trial 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.
Trial design
Design model
Other
Time perspective
Cross-sectional
Treatments tested in this trial
Questionnaire and Physical Exam
Other interventionONLINE QUESTIONNAIRE
Treatment groups
No treatment groups listed
Trial outcomes
Primary outcomes
1
Distinct patient subgroups (phenotypes) identified through unsupervised machine learning clustering algorithms.
Time frame
At the time of questionnaire completion (Baseline)Locations
Sponsors and contacts
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Source ClinicalTrials.gov
This trial is not recruiting at the moment. You can still explore other options: