Impact of Demography, Ethnicity, Co-morbidities and Inequalities on Outcomes in High-Grade Lymphoma Across the UKCHART Network (DECIPHER)

September 4, 2026 updated by: The Royal Wolverhampton Hospitals NHS Trust

DECIPHER - Impact of Demography, Ethnicity, Co-morbidities and Inequalities on Outcomes in High-Grade Lymphoma Across the UKCHART Network

DECIPHER is a retrospective multicentre observational cohort study using data collected across UKCHART sites. The study will evaluate the impact of ethnicity, socioeconomic deprivation and comorbidity burden on treatment delivery and outcomes in adults diagnosed with DLBCL between 2021 and 2025.

Study Overview

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

Observational

Enrollment (Estimated)

2000

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

N/A

Sampling Method

Non-Probability Sample

Study Population

Data will be collected retrospectively by the 21 individual trusts which make up UKCHART. The population catchment is around 18 million.

Description

Inclusion Criteria:

  • Adults aged ≥18 years.
  • Newly diagnosed DLBCL.
  • Managed within participating UKCHART sites.

Exclusion Criteria:

  • Transformed lymphoma.
  • Insufficient linkage data.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

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

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

October 1, 2026

Primary Completion (Estimated)

September 1, 2027

Study Completion (Estimated)

September 1, 2027

Study Registration Dates

First Submitted

September 4, 2026

First Submitted That Met QC Criteria

September 4, 2026

First Posted (Actual)

September 10, 2026

Study Record Updates

Last Update Posted (Actual)

September 10, 2026

Last Update Submitted That Met QC Criteria

September 4, 2026

Last Verified

September 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • 2026HAE151

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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