How to choose a time zero for patients in external control arms

Daniel Backenroth1

  • 1Quantitative Sciences, Janssen Research and Development LLC, Raritan, New Jersey, USA.

Insights

Using external control arms in oncology trials can be biased. Including patients multiple times for each qualifying treatment, rather than just once, avoids this bias for more accurate overall survival comparisons.

Area of Science:

  • Oncology
  • Clinical Trial Design
  • Biostatistics

Background:

  • Single-arm oncology trials often use external control arms from retrospective registries for efficacy assessment.
  • Comparing novel compounds to physician's choice of chemotherapy presents challenges in selecting appropriate external control arm patients.
  • Patients in retrospective registries may qualify for external control arms at multiple treatment lines.

Purpose of the Study:

  • To investigate bias in external control arm construction for oncology trials.
  • To evaluate methods for selecting patients for external control arms based on treatment lines.
  • To propose an unbiased method for constructing external control arms using retrospective data.

Main Methods:

  • Probabilistic arguments and simulation studies were employed.
  • Real-world data was utilized for simulations.
  • Comparison of overall survival between single-arm trial and various external control arm construction methods.

Main Results:

  • Including external control arm patients from the last available line of therapy introduces bias.
  • Randomly selecting a line of therapy for external control arm patients also results in bias.
  • Bias favoring the single-arm trial was observed in both tested methods.

Conclusions:

  • Current methods for constructing external control arms in oncology trials can lead to biased efficacy assessments.
  • An unbiased approach involves including external control arm patients multiple times, corresponding to each qualifying treatment line.
  • This multi-inclusion strategy enhances the reliability of overall survival comparisons in single-arm oncology studies.

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