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Registry of the European Mantle Cell Lymphoma Network

Registry of the European Mantle Cell Lymphoma Network - EMCL Registry

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
DRKS
Registry ID
DRKS00032670
Enrollment
100000
Registered
2023-10-19
Start date
2016-07-01
Completion date
Unknown
Last updated
2025-04-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

ORPHA:52416 C83.1

Interventions

Group 1: In the EMCL registry, data on the sequential treatment regime of patients with mantle cell lymphoma (MCL) are collected pro- and retrospectively. All patients diagnosed with mantle cell lymph

Sponsors

Universitätsmedizin der Johannes Gutenberg-Universität Mainz
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: Mantle cell lymphoma Informed consent with the exception of deceased patients

Exclusion criteria

Exclusion criteria: Lymphoma other than MCL

Design outcomes

Primary

MeasureTime frame
Understand the disease course of mantle cell lymphoma (MCL) and it variants with the use of different treatment modalities or different treatment sequencing

Secondary

MeasureTime frame
* Describe patient characteristics * Describe existing and identify clinical and molecular risk factors * Evaluate impact of comorbidity scores (e.g. Charlson, HCT-CI) on outcome * Describe pathological profiles * Describe pattern and completeness of diagnostic procedures: clinical, laboratory, pathological * Describe patterns of treatments used in different lines within different treatment periods * Understand scope of responses to sequentially applied treatments * Develop a prediction model for selection of ideal treatments for individual patients * Evaluate prognostic scoring systems in distinct subpopulations * Collect and analyze real world data on progression free survival on various drugs * Collect and analyze real world data on overall survival * Collect and analyze real world data on healthcare resource utilization * Collect and analyze Quality of life (QoL) QoL analysis are highly relevant and attractive (defined prospective cohort) * Analyze adverse event profiles in dedicated and representative patient populations, distinct from clinical research cohorts using a defined set of clinically relevant events, which may be defined in relation to specific projects within the protocol * Understand the pattern of clinically meaningful adverse events and late sequalae of treatment * Integrate long term follow up of clinical trials * Monitor efficacy and safety of novel therapeutic option with real world data

Countries

Croatia, Egypt, Germany, Ireland, Italy, Portugal, Spain, Switzerland

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026