Study type

Study topic

Human medicinal product

Study type

Non-interventional study

Scope of the study

Drug utilisation
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Name of medicine

BINOCRIT

Study drug International non-proprietary name (INN) or common name

EPOETIN ALFA

Anatomical Therapeutic Chemical (ATC) code

(B03XA01) erythropoietin
erythropoietin

Medical condition to be studied

Anaemia
Fatigue
Population studied

Age groups

  • Adult and elderly population (≥18 years)
    • Adults (18 to < 65 years)
      • Adults (18 to < 46 years)
      • Adults (46 to < 65 years)
    • Elderly (≥ 65 years)
      • Adults (65 to < 75 years)
      • Adults (75 to < 85 years)
      • Adults (85 years and over)

Estimated number of subjects

965
Study design details

Main study objective

The main objective of the study is to determine the correlation between fatigue,measured using a Visual Analog Scale (VAS), and Quality of Life, evaluated using the EORTC QLQ C30 questionnaire, perceived by patients undergoing chemotherapy for a solid tumour,malignant lymphoma, multiple myeloma presenting with a chemotherapy-induced anaemia and receiving Binocrit®.

Outcomes

The evaluation of the correlation at T0 (inclusion), T1 (follow-up) and T2 (end of follow-up), between the fatigue perceived by the patient and measured using a VAS and the QL score from the EORTC QLQ-C30 questionnaire. *Correlation coefficient between:
-the change in fatigue and the change in QL between T0 and T1 and between T0 and T2 -haemoglobin and the QL -haemoglobin and VAS perceived by patient
*Patient's VAS fatigue perceived by the physician
*Concordance between the VAS (patient and physician)
*Procedure for using Binocrit® based on haemoglobin
*Factors associated with improved fatigue and QL

Data analysis plan

Statistical tests will be bilateral and a significance threshold of 5% will be used. The raw correlation between the two quantitative variables, fatigue value estimated value and QL score, will be calculated using the Pearson correlation coefficient and will be presented alongside its 95% CI.
If the distributions do not follow a normal distribution or if outliers are observed, the use of the Spearman correlation coefficient will be preferred.
The null hypotheses H0 r=0, r=0.10 and r=0.3 will be tested at a risk level of α = 0.05 in a bilateral situation in order to test respectively if the correlation level is zero, weak or moderate.
The differences observed between the three evaluation timepoints (T0, T1 and T2) will be discussed.
Unless otherwise specified (i.e. calculation of sub-scores in the QL questionnaire, multivariate analyses to look for predictive factors of fatigue and QL improvement), missing data will not be replaced.