Based in Geneva, Switzerland, Data Mining International is a leader in advanced analyses for databases, as well as small sample significance management, multicriteria analysis and clinical data rescue. Company CEO Ariel Beresniak is an MD specialising in Public Health. OrphaNews Europe asked Dr. Beresniak to discuss the particulars of managing data in studies for rare disease medicinal products.
OrphaNews Europe: As CEO of Data Mining International, a leading company specialising in statistical and mathematical analyses of clinical databases, what is your opinion on the need for specific clinical analyses for orphan diseases?
AB: We are observing today some important changes in the clinical development environment. Relying on well-established policies and processes dating from the 1960s, clinical assessment is based on theoretical foundations that do not meet the needs of the challenges facing modern science today. The development of the biotech sector is one response to the changing expectations of patients, doctors and public authorities.These expectations can be summarised in 3 points :
- better management of chronic diseases
- development of efficacious products for rare diseases
- quick availability of innovative products
It is not enough that an innovative product be potentially safe and efficacious, it is necessary to be able to demonstrate this. The principle of clinical assessment demands planning a clinical study as large as the efficacy differences are expected to be small.
Current calculations of the number of subjects needed for one trial are often not compatible with acceptable budget and time duration constraints, and are also quite impossible in terms of patient recruitment feasibility. Orphan drugs are often developed by the biotech sector, which specialises in niche markets. In addition, most clinical trials cannot reach the significance threshold (p value < 5%, meaning that we accept a 5% risk of error), jeopardizing the potential access to market for tested products.
Read the full interview with Ariel Beresniak