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

Other

Non-interventional study design, other

Multicentre retrospective observational study
Study drug and medical condition

Medical condition to be studied

Acute myeloid leukaemia

Additional medical condition(s)

untreated CD33-positive acute myeloid leukaemia (AML) patients aged 15 years and older, with the exception of acute promyelocytic leukaemia (APL)
Population studied

Age groups

  • Adolescents (12 to < 18 years)
  • 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

Hepatic impaired
Immunocompromised
Pregnant women
Renal impaired

Estimated number of subjects

130
Study design details

Main study objective

The purpose of this study is to describe the use, efficacy and safety of MYLOTARG® in real-world conditions.

Data analysis plan

For continuous variables, the usual statistics (n, missing n, mean, standard deviation (SD), median, first and third quartile (Q1 and Q3), minimum and maximum) are presented. For discrete variables, the usual statistics (n, missing n, frequency and percentage) will be given. Unless stated otherwise in the SAP, percentages are only calculated for items completed and missing data will be excluded. The EFS endpoint criterion will be presented using the Kaplan-Meier method with the associated survival curve. Standard statistics will be used to summarise the response endpoint, tolerance endpoints, patient and disease characteristics at initiation of treatment and subsequent treatments. An exploratory analysis will also be performed of patients treated under the ATU and those treated post-ATU. The percentage of VOD cases will be provided with its two2-sided 95% confidence interval (Clopper-Pearson exact method). Methodology for summary and statistical analyses of data collected in SAP.