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External control arms in oncology: current use and future directions


Summary

  • Considerations for using external controls in oncology clinical trials are complex and depend on their intended use.
  • There is a review of recent research and marketing applications that describe the current usage of external control data in oncology.
  • Incorporating external controls for primary evidence of efficacy requires careful pre-specification of study design elements.
  • Randomized control trials (RCTs) are ideal for comparing treatment arms due to minimal confounding, but are not always feasible in certain disease settings.
  • When RCTs are not possible, external control data can expand the interpretability of experimental arm results through formal or informal comparative analysis.
  • The paper introduces the concept of external controls in oncology trials, reviews current research, and discusses general considerations for trial design incorporating external controls.
  • Case studies of marketing applications submitted to the FDA, which included external control data, are provided as examples.

The control arm of a randomized clinical trial plays a fundamental role in estimating the efficacy and safety of an investigational therapy. Concurrently randomized control arms allow for an understanding of the temporally relevant factors associated with the natural history of the disease, particularly with respect to current standards of clinical care. This contemporaneous control permits an estimation of treatment effect that is attributable to the experimental arm of interest, and randomization minimizes concern for bias by removing systematic imbalances between arms in measured and unmeasured prognostic factors. When a concurrently randomized arm is not feasible in an oncology trial due to practical or ethical concerns, single-arm trials may be appropriate. In single-arm trials, tumor response rates are an appropriate endpoint to assess treatment effect, as an individual patient's own baseline tumor measurement serves as an internal control with the assumption that most tumor types will not shrink without intervention or treatment.

 However, if tumor response cannot be reasonably measured due to disease characteristics (such as in certain neuro-oncologic tumors) or there is interest in estimating a comparative treatment effect within the population of interest, approaches have been explored to supplement single-arm data with data external to the clinical trial, also referred to as an external control arm...

 

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external controls, real-word data, Food and Drug Administration, FDA, external control arm