Study type

Study topic

Disease /health condition
Other

Study topic, other

Disease/Epidemiology study

Study type

Non-interventional study

Scope of the study

Drug utilisation
Other

If ‘other’, further details on the scope of the study

Treatment patterns and resource utilisation

Data collection methods

Secondary use of data
Non-interventional study

Non-interventional study design

Other

Non-interventional study design, other

Retrospective chart review
Study drug and medical condition

Medical condition to be studied

Plasma cell myeloma
Population studied

Short description of the study population

Patients treated for a first episode of relapse/refractory multiple myeloma in in a real-world setting in Spain.

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)

Special population of interest

Other

Special population of interest, other

Multiple myeloma patients

Estimated number of subjects

375
Study design details

Main study objective

The primary objective is to estimate progression free survival (PFS) in a cohort of patients in Spain treated for a first episode of relapse/refractory multiple myeloma (RRMM).

Outcomes

Progression-free survival (PFS), Overall survival (OS), socio-demographic, clinical and treatment characteristics, healthcare resource utilisation and associated costs, and reasons for change in Line of Therapy (LOT)

Data analysis plan

PFS and OS will be described using Kaplan-Meier plots with estimation of the median PFS and 95% CIs. The number of events and the number of patients at risk by 1 month periods will be reported. If the median level (50%) is not reached, cumulative incidence by 3 month periods will be provided. Analyses will be performed overall and stratified by age, presence of previous treatment with immunomodulatory drugs and prior LOT (1st, ≥ 2). Patient characteristics at the index date will be summarized. Descriptive statistics will be used to describe treatment characteristics by LOT during follow-up. Summary descriptive statistics will report HRU and costs during the follow-up in the pre-/post-progression states. The overall proportion of RRMM patients who undergo a change in LOT during follow-up, proportions by LOT and reasons for change will be presented. To identify patient- and center-level characteristics associated with PFS Cox regression models will be used.