Clinical trial Recruiting at 1 site Observational Ages 18 and up

Observational study on predicting treatment response in diffuse large B-cell lymphoma

Official title: Supervised Machine Learning for the Prediction of Primary Refractory Status in Patients With Diffuse Large Cell B Lymphoma in a Monocentric Cohort at the Grand Hôpital de Charleroi

Run by Grand Hôpital de Charleroi · NCT06241729 · Data updated 2026-11-12

This study is trying to see if using machine learning can help doctors predict which patients with diffuse large B-cell lymphoma might not respond to treatment, so they can provide better care.

Quick facts

Study typeObservational
Ages18 Years and up
SexAll
Enrollment50 (estimated)
SponsorGrand Hôpital de Charleroi
Academic / other
Drugs / interventionschemotherapy, CAR T
Locations1 site (Charleroi, Hainaut)
StatusRecruiting
StartedJanuary 3, 2023
Main results expectedDecember 31, 2026
Study endsDecember 31, 2026
Registry record updatedSeptember 14, 2026
Trial IDNCT06241729 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Ideal candidates are adults diagnosed with diffuse large-cell B lymphoma who are being treated for the first time at the Grand Hôpital de Charleroi.

Probably not a fit

Patients under 18 years old will 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 study focuses on patients diagnosed with diffuse large B-cell lymphoma (DLBCL) to understand the factors contributing to primary refractory disease, which affects 30-40% of patients. By utilizing machine learning algorithms, the study aims to predict the likelihood of patients becoming refractory to treatment based on their medical records and various risk factors. The goal is to enable early intervention strategies tailored to individual patient needs, potentially improving treatment outcomes. The study will analyze data from patients treated at the Grand Hôpital de Charleroi, leveraging advanced predictive modeling techniques.

Why it matters

Potential benefit: If successful, this study could lead to more personalized treatment strategies for patients with DLBCL, improving their chances of recovery.

How similar studies have gone: Previous studies have shown promise in using machine learning for predicting treatment outcomes in similar contexts, indicating a potential for success in this approach.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* patients with diffuse large-cell B lymphoma treated in the haematology department at the Grand Hôpital de Charleroi for the first time
* able to understand the information and sign their consent form

Exclusion Criteria:

* under 18 years old

Where it's running

  • Grand Hôpital de Charleroi
    Charleroi, Hainaut, Belgium
    Recruiting

Study contacts

  • Principal investigator: Delphine Pranger, MD — Grand Hôpital de Charleroi
  • Study coordinator: Marie Detrait, MD, PhD
  • Email: marie.detrait@ghdc.be
  • Phone: 0031 71 10

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.