Clinical trial Recruiting at 1 site Observational Ages 18 to 69

Identifying biomarkers for predicting complications after surgery in inflammatory bowel disease

Official title: Spatially and Temporally Resolving Predictive Biomarkers of Postoperative Recurrence and Complications in Chronic Intestinal Inflammation

Run by IRCCS Ospedale San Raffaele · NCT06516341 · Data updated 2026-11-12

This study is trying to find specific markers in patients with inflammatory bowel disease after surgery to see if they can help predict complications and the chance of the disease coming back.

Quick facts

Study typeObservational
Ages18 Years to 69 Years
SexAll
Enrollment35 (estimated)
SponsorIRCCS Ospedale San Raffaele
Academic / other
Locations1 site (Milan, Italy)
StatusRecruiting
StartedFebruary 27, 2025
Main results expectedSeptember 2025
Study endsSeptember 2026
Registry record updatedMarch 14, 2025
Trial IDNCT06516341 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Ideal candidates include adults over 18 years with histologically confirmed Crohn's disease or ulcerative colitis undergoing intestinal resection due to stricturing disease.

Probably not a fit

Patients under 18 or over 70 years, those with unconfirmed diagnoses, or those with concurrent dysplasia or cancer may not benefit from this study.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study focuses on patients with inflammatory bowel disease (IBD) who require surgical intervention due to inadequate response to existing therapies. The researchers aim to identify and validate specific biomarkers that may remain in the resection margins after surgery, which could indicate the risk of postoperative complications and disease recurrence. By utilizing humanized experimental models and machine learning, the study seeks to develop a predictive model for these risks, although it will not alter clinical decision-making. Patients will continue to receive standard care while being monitored throughout the study.

Why it matters

Potential benefit: If successful, this study could lead to improved prediction of postoperative complications in IBD patients, potentially enhancing patient management and outcomes.

How similar studies have gone: While the approach of using machine learning for predictive modeling in IBD is innovative, similar studies have shown promise in identifying risk factors for postoperative complications in other contexts.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* adult (age \>18 years) patients with histologically confirmed CD or UC undergoing intestinal resection due to stricturing disease, regardless of their current or past medical treatment;
* given that it is an observational study, also pregnant and breastfeeding patients could be included;
* able and willing to sign the informed consent.

Exclusion Criteria:

* patients \<18 years or \> 70 years;
* patients with unconfirmed both UC and CD diagnoses;
* patients with superimposed dysplasia or cancer diagnosis and resections for which post- operative endoscopic assessment of recurrence is not feasible;
* patients unable or unwilling to sign the informed consent.

Where it's running

  • IRCCS Ospedale San Raffaele
    Milan, Italy, Italy
    Recruiting

Study contacts

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.