Study type

Study topic

Human medicinal product

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness
Disease epidemiology
Drug utilisation
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Name of medicine

SIMPONI

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

GOLIMUMAB

Anatomical Therapeutic Chemical (ATC) code

(L04AB06) golimumab
golimumab

Medical condition to be studied

Colitis ulcerative
Colorectal cancer
Hepatosplenic T-cell lymphoma
Colectomy
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

3000
Study design details

Main study objective

To characterize the clinical and demographic profile of first-time users of golimumab (GLM) vs first time users of alternate therapies in the treatment of UC, to describe the risk of incident CRC and the risk of all-cause total colectomy exposed to GLM and alternative therapies.

Outcomes

Incidence of CRC, incidence of all-cause total colectomy

Data analysis plan

Patients in each cohort will be followed for the outcomes of CRC, HSTCL, and colectomy through 18- Mar-2021. The risk of primary outcomes (incident CRC, all-cause total colectomy) will be estimated as cumulative incidence within each inception cohort in unadjusted and adjusted analyses. Censoring events will include death, emigration, and first occurrence of study outcomes. The cohort analyses will be conducted based on automated data only using survival analysis techniques (including Kaplan-Meier) to estimate cumulative risks. Sensitivity analyses have been specified that examine the robustness of results to alternate specifications of the study population, risk window, outcome definitions, and additional adjustment using quantitative bias analysis (QBA).