Study type

Study topic

Human medicinal product
Disease /health condition

Study type

Non-interventional study

Scope of the study

Drug utilisation

Data collection methods

Secondary use of data
Non-interventional study

Non-interventional study design

Cohort
Other

Non-interventional study design, other

Descriptive, retrospective observational study
Study drug and medical condition

Name of medicine

TEMODAL

Medical condition to be studied

Glioblastoma
Population studied

Short description of the study population

The study population included patients with malignant gliomas treated with temozolomide with or without antiepileptic drugs identified through Agenzia Regionale della Sanità Toscana (ARS) database between 2010 and 2021.

Age groups

Infants and toddlers (28 days – 23 months)
Children (2 to < 12 years)
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

Other

Special population of interest, other

Patients with malignant gliomas

Estimated number of subjects

1000
Study design details

Main study objective

Primary objective: To describe the real-world utilization of TMZ with or without antiepileptic drugs for the treatment of patients with malignant gliomas in Tuscany between 2010 and 2021. Secondary objective: To describe the survival of patients using TMZ with or without antiepileptic drugs for the treatment of patients with malignant gliomas in Tuscany between 2010 and 2021.

Outcomes

Drug utilization, Survival

Data analysis plan

Descriptive analyses will be conducted to assess demographic and clinical characteristics of temozolomide users (concomitant/adjuvant) in relation to use of antiepileptic drugs. Continuous variables will be described by means and standard deviation or by median and range. Categorical variables will be described by patient counts and percentages. Characteristics of patients according to concomitant use of antiepileptic drugs will be compared using parametric or non- parametric tests according to distribution of data. A Kaplan Meier curve will be plotted for describing persistence and overall survival during follow- up. Also median overall survival will be calculated.