Regulatory Science Virtual Symposium: “Study Design for Clinical Trials: Types and Trends” Session 5: Medical Device Trials (2023)

Research & Study Design
Regulatory & Quality Sciences
Frances Richmond, PhD

Director of the D. K. Kim International Center for Regulatory Science & Professor of Regulatory and Quality Sciences, Department of Regulatory and Quality Sciences, Mann School of Pharmacy

Course Syllabus/Topics

  1. When do we do device trials?
    1. Device trials are conducted for about 15% of approved devices
      1. Only when the information is necessary to prove safety/efficacy that performance testing, animal testing, and previous literature cannot
      2. Clinical studies are not conducted for devices such as surgical scissors
  2. Typically, device trials are done on implants
    1. Restraints include device costs, ethics, study controls, and device size
    2. Post-market trials are often conducted for reimbursement and expansion of device knowledge
    3. Clinical utility is a key
  3. Strong partnerships are needed
    1. Include hospital administration, radiologists, therapists, patients and their families, other clinicians, R&D teams, and committees etc.
    2. Must be multicenter
  4. Transcatheter versus transapical implants
    1. Threading through a femoral artery is as good as going through the heart – Will patients still do as well?
    2. Relatively sophisticated trail design: prospective, non-blinded, randomized, controlled, multi-center clinical trial with non-inferiority outcome
      1. Based on patients who can get access through transfemoral vs transapical groups
      2. Each group randomized
      3. Primary safety/effectiveness endpoint: As time went by, some patients in both groups died but note that the death rate for transfemoral route was slightly less
      4. Non-inferiority study: we are good as within a 7.5% delta range and outcome measures of 3 months
    3. Can be challenging to pre-specify in device trial so industry has adopted adaptive trial design
  5. Synthetic control groups
    1. Develop from external data
    2. Quality of the match to the current study is critical
  6. Registries versus trials
    1. Real-world data is a rich source of information
    2. Types of registries: patient, specialty, population, device, and payer
    3. Harder to control bias and apply statistical analyses from data taken from registries
  7. Adaptive trials
    1. Design that “allows for prospectively planned modification based on accumulating study data without undermining the study’s integrity and validity”
    2. Factors that might be modified when following this type of design:
      1. Number of patients
      2. Patient population
      3. Randomization
      4. Primary hypothesis
      5. Decision rules
    3. Some advantages of Adaptive Trials include reduced duration, enrichment of the experiment arm, use of a control group from another trial, sample size adjustment
    4. Adaptation is usually determined by stages of endpoints
    5. Some disadvantages include the potential for damaging statistical validity, affecting bias of clinical managers, and requiring predictions prior to approval
    6. CDRH experience
    7. As precision medicine becomes more common, more studies will use adaptive design
  8. Let us look at a pressure-ulcer trial using microstimulators
    1. Bions and insertion tool
    2. Inclusion criteria
    3. History
    4. Typical exercise program
  9. Another study: Shoulder Subluxation
    1. An example of historical controls
    2. Measures of muscle thickness using ultrasound
    3. Takeaway: Want to use robust outcome measures
  10. Questions?

Acknowledgments

Accompanying text created by Roxy Terteryan, RKS Project Administrator, SC CTSI (atertery@usc.edu) and Cyan Tan, Student Worker

NIH Funding Acknowledgment: Important - All publications resulting from the utilization of SC CTSI resources are required to credit the SC CTSI grant by including the NIH funding acknowledgment and must comply with the NIH Public Access Policy.