Study type

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness
Drug utilisation
Effectiveness study (incl. comparative)
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Name of medicine

BREYANZI

Medical condition to be studied

Follicular lymphoma

Additional medical condition(s)

relapsed/refractory diffuse large B-cell lymphoma,primary mediastinal B-cell lymphoma
Population studied

Age groups

Adults (18 to < 46 years)
Adults (46 to < 65 years)
Adults (65 to < 75 years)
Adults (75 to < 85 years)
Adults (85 years and over)

Estimated number of subjects

750
Study design details

Main study objective

The main objective is to the incidence and severity of selected adverse drug reactions (ADRs), as outlined in the Summary of Product Characteristics (SmPC), in patients treated with liso-cel in the postmarketing setting and to monitor for potential clinically important adverse events (AEs) that have not yet been identified as part of the liso-cel safety profile.

Outcomes

Secondary malignancies Cytokine release syndrome (CRS) all grades Neurotoxicities all grades Prolonged cytopenias Pregnancy outcome Other AEs considered related to liso-cel treatment (Grade ≥ 3, where applicable), Overall response rate (ORR) Complete response rate (CRR) Duration of response (DoR) Progression-free survival (PFS) Overall survival (OS) Time to next treatment (TTNT)

Data analysis plan

Results will be analyzed and reported descriptively and no formal hypothesis testing is intended. Summary statistics will consist of the number and percentage of patients in each category for discrete variables, whereas for continuous variables the sample size, mean, median, standard deviation, minimum, and maximum will be given. For the primary safety endpoints, incidence proportions and incidence rates will be calculated with the appropriate time periods and methods, analyses will be carried out both with and without accounting for competing risks. For the secondary effectiveness endpoints, Kaplan-Meier estimates and curves will be generated.