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 type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 50 (estimated) |
| Sponsor | Grand Hôpital de Charleroi Academic / other |
| Drugs / interventions | chemotherapy, CAR T |
| Locations | 1 site (Charleroi, Hainaut) |
| Status | Recruiting |
| Started | January 3, 2023 |
| Main results expected | December 31, 2026 |
| Study ends | December 31, 2026 |
| Registry record updated | September 14, 2026 |
| Trial ID | NCT06241729 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
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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
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.