Study type

Study type

Non-interventional study

Scope of the study

Assessment of risk minimisation measure implementation or effectiveness
Effectiveness study (incl. comparative)
Non-interventional study

Non-interventional study design

Cohort
Study drug and medical condition

Anatomical Therapeutic Chemical (ATC) code

100000095899
human menopausal gonadotrophin
100000095902
follitropin alfa

Medical condition to be studied

Infertility female
Population studied

Age groups

Adults (18 to < 46 years)
Adults (46 to < 65 years)

Estimated number of subjects

79000
Study design details

Main study objective

To compare rhFSH-alfa reference product with HP-hMG or rhFSH-alfa biosimilar products regarding live birth outcome measures.

Outcomes

The primary outcome is live birth, measured as live birth rate (LBR) per initiated in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI) stimulation cycle, cumulative live birth rate (CLBR) per initiated IVF/ICSI stimulation cycle, and CLBR in up to five initiated IVF/ICSI stimulation cycles (termed multiple-cycle MC-CLBR). The secondary outcomes are clinical pregnancy, ongoing pregnancy, oocytes retrieved, embryos transferred, embryos cryopreserved, utilizable embryos, implantation, pregnancy loss, multiple pregnancy, cycle cancellation, OHSS, and treatment-associated costs.

Data analysis plan

The analysis will be conducted in two stages: (i) construction of inverse probability of treatment weighted (IPTW) study cohorts, by modelling rhFSH-alfa reference product vs. HP-hMG treatment initiation and rhFSH-alfa reference product vs. rhFSH-alfa biosimilar product treatment initiation, (ii) estimation of the effect of rhFSH-alfa reference product on the outcomes, compared with the respective comparator drugs. Descriptive analysis will be conducted to describe the baseline characteristics of the study cohorts. For outcomes, rates per 100 units of observations will be estimated with 95% CIs. Adjusted odds ratios with 95% CIs will be estimated from the statistical model weighted with IPTWs and any variables included in the propensity score (PS) that are still unbalanced between the study cohorts after weighting. The analyses will be conducted for each data source separately and combined using meta-analyses, providing a summary estimate for all data sources.