Safety evaluation of biosimilar trastuzumab in breast cancer: Experience of Colombian institutions

11/10/2022
23/04/2024
EU PAS number:
EUPAS49290
Study
Planned
Study type

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness
Safety study (incl. comparative)
Other

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

Profile the safety of the biosimilar trastuzumab in Colombia
Non-interventional study

Non-interventional study design

Other

Non-interventional study design, other

Retrospective descriptive study
Study drug and medical condition

Anatomical Therapeutic Chemical (ATC) code

(L01FD01) trastuzumab
trastuzumab

Medical condition to be studied

Breast cancer metastatic

Additional medical condition(s)

Adjuvant Breast Cancer
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

100
Study design details

Main study objective

To describe the frequency of adverse events by degree of severity and anatomical group to detail establish the safety profile of the biosimilar trastuzumab used for breast cancer in Colombian healthcare institutions.

Outcomes

Secondary Objectives: Perform the clinical characterization of patients who were treated with the biosimilar trastuzumab for breast cancer. Exploratory objectives: a)To calculate the overall survival (OS) and progression-free survival (PFS) in patients treated with the biosimilar trastuzumab for breast cancer, b)To explore the factors associated with effectiveness and safety in patients treat

Data analysis plan

Descriptive statistics will be produced for all variables. These will include estimates of the mean, standard deviation, 95% confidence intervals of the mean, median, interquartile ranges and frequency distributions for continuous scale variables and frequency distributions for categorical scale variables. The normality of the continuous variables will be assessed using the Kolmogorov test or the Shapiro Wilk test according to the number of samples collected. Time to event data including time to disease progression, death, partial response and complete response will be described using the Kaplan Meier estimator of the Survival Function. Associated factors of response to treatment will be identified among patient, disease and treatment parameters using Cox Proportional Hazard Models. The main factors that would be assessed in these analyses: Age, Diagnosis date, Stage, ECOG Status, Metastasis, Sites of metastasis, treatment received and AE. Log rank test will be used to compare the d