- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07813585
Impact of Demography, Ethnicity, Co-morbidities and Inequalities on Outcomes in High-Grade Lymphoma Across the UKCHART Network (DECIPHER)
DECIPHER - Impact of Demography, Ethnicity, Co-morbidities and Inequalities on Outcomes in High-Grade Lymphoma Across the UKCHART Network
Study Overview
Status
Detailed Description
Despite the provision of universal healthcare through the National Health Service (NHS), variation in treatment delivery and outcomes among patients with diffuse large B-cell lymphoma (DLBCL) persists. Previous UK population-based studies have demonstrated that socioeconomic factors and multimorbidity influence survival outcomes in aggressive lymphoma, with patients from more deprived backgrounds experiencing poorer outcomes than those from less deprived areas (Smith et al., 2015; Smith et al., 2021a). Furthermore, multimorbidity has been associated with diagnostic delay and emergency presentation, factors known to adversely affect lymphoma outcomes (Smith et al., 2021b).
National datasets such as the National Cancer Registration and Analysis Service (NCRAS) and the Systemic Anti-Cancer Therapy (SACT) database provide valuable population-level real-world evidence and have improved understanding of lymphoma outcomes at a national level. However, these datasets often lack the detailed clinical information required to fully explore the impact of ethnicity, socioeconomic deprivation, frailty, comorbidity burden, treatment modifications, and treatment delivery on patient outcomes.
The UK Consortium for Haematology Audit, Real-world Data and Trials (UKCHART) provides a unique opportunity to address these evidence gaps. Through a network of participating NHS organisations serving a large, diverse, and geographically distributed population, UKCHART enables the collection of detailed patient-level clinical data that are not routinely available within national registries. The demographic diversity of the UKCHART population makes it particularly well suited to investigating healthcare inequalities and understanding how ethnicity, deprivation, and comorbidity influence treatment delivery and outcomes in patients with DLBCL.
This study will utilise the UKCHART network to evaluate the impact of ethnicity, socioeconomic deprivation, and comorbidity burden on the delivery of frontline chemoimmunotherapy and subsequent clinical outcomes in patients with newly diagnosed DLBCL. By generating contemporary UK real-world evidence, the study aims to identify potentially modifiable factors contributing to outcome disparities and inform future strategies to improve equity of care for patients with high-grade lymphoma.
Study Type
Enrollment (Estimated)
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Adults aged ≥18 years.
- Newly diagnosed DLBCL.
- Managed within participating UKCHART sites.
Exclusion Criteria:
- Transformed lymphoma.
- Insufficient linkage data.
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Treatment completion
Time Frame: Time Period between 2021-2026
|
Delivered versus planned number of frontline chemoimmunotherapy cycles
|
Time Period between 2021-2026
|
|
Dose intensity reduction
Time Frame: Time Period between 2021-2026
|
Occurrence and magnitude (%) of chemotherapy dose reductions, particularly reductions >25% from planned treatment
|
Time Period between 2021-2026
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Overall Survival (OS)
Time Frame: Time Period between 2021-2026
|
Measured as time from diagnosis (or treatment start, as defined in the SAP) to death from any cause
|
Time Period between 2021-2026
|
|
Progression-Free Survival (PFS)
Time Frame: Time Period between 2021-2026
|
Measured as time from diagnosis/treatment initiation to disease progression, relapse, or death.
|
Time Period between 2021-2026
|
|
Stage at Diagnosis
Time Frame: Time Period between 2021-2026
|
Measured using Ann Arbor stage recorded at diagnosis
|
Time Period between 2021-2026
|
|
Time to Treatment Initiation
Time Frame: Time Period between 2021-2026
|
Measured as the interval between diagnosis and commencement of first-line treatment.
|
Time Period between 2021-2026
|
Collaborators and Investigators
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- 2026HAE151
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