Study type

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Name of medicine

INLYTA
KEYTRUDA

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

AXITINIB
PEMBROLIZUMAB

Anatomical Therapeutic Chemical (ATC) code

(L01EK01) axitinib
axitinib
(L01XC18) pembrolizumab
pembrolizumab

Medical condition to be studied

Renal cell carcinoma
Population studied

Age groups

Preterm newborn infants (0 – 27 days)
Term newborn infants (0 – 27 days)
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)

Estimated number of subjects

200
Study design details

Main study objective

Among the overall population of Japanese participants with radically unresectable or metastatic RCC who receive treatment with pembrolizumab in combination with axitinib, to describe the proportion of participants with hepatic disorders, including clinical events and/or laboratory elevations with or without hepatic dysfunction.

Outcomes

Proportion of participants with hepatic adverse events (HAEs, overall, serious and grade 3 or higher), including clinical events and/or laboratory elevations with or without hepatic dysfunction, (Overall) Baseline data, % discontinuing treatment due to HAE, % with treatment interruption, % with dose reduction, time to discontinuation, interruption, resumption, and dose reduction, (participants with HAE) Baseline data, % with resolved HAE, % using steroids/other treatment, time to HAE onset, HAE summary. Subgroup analysis for HAEs will be performed (overall, serious, and >=grade 3)

Data analysis plan

Analyses will be of an explorative and descriptive nature. There is no formal hypothesis testing. Descriptive statistics will be reported including measures of central tendency and dispersion for continuous variables and frequency and percentages for categorical scale variables. Comparison of characteristics in subgroups will be performed using Chi-square test or Fisher’s exact test for categorical/binary variables, and Student’s t-test for continuous data. Other test statistics may be used, as relevant, depending on the data distributions and normality assumptions.
Documents
Study report
English (750.15 KB - PDF)View document