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The Biologics & Biosimilars Collective Intelligence Consortium (BBCIC) this month reached a significant new phase of operation, posting research protocols that will lay the groundwork for comparative effectiveness and safety studies of biosimilars currently available or projected to enter the market next year.
PRESS RELEASE Alexandria, Va., Oct. 14, 2016 — The Biologics & Biosimilars Collective Intelligence Consortium (BBCIC) this month reached a significant new phase of operation, posting research protocols that will lay the groundwork for comparative effectiveness and safety studies of biosimilars currently available or projected to enter the market next year.
The three descriptive analysis protocols — posted on www.clinicaltrials.gov — will look at (1) biologic anti-inflammatory therapies, (2) colony stimulating factors, and (3) long-acting insulins. A precursor to actual observational research studies, these protocols establish indicators to be measured by characterizing patient populations, identifying exposures and outcomes, as well as patterns of use and clinical risk factors that may influence patient response.
“We’re in a new era with complex products entering the market, including biologic proteins, gene therapies, cell-based therapies and biosimilars,” said BBCIC Program Director Bernadette Eichelberger. “Health care stakeholders have an interest in ensuring that biologics, including biosimilars, are safe and effective and widely accepted in the U.S. The BBCIC believes post-approval pharmacovigilance is key to patient and physician confidence.”
Examples of specific indicators to be examined in the protocols include:
The BBCIC research teams will use the protocols to begin actively monitoring biologics agents already on the market, as well as biosimilars that are expected to gain FDA approval in 2017. The research teams are comprised of diverse health-care stakeholders, including payers (i.e., managed care organizations and integrated delivery networks), providers, patient advocates, biopharma and academia.
The research will draw on large sets of de-identified medical and pharmacy data covering 100 million people. Findings on products will be made available to providers and patients as they become known.