Successful completion of large, low-cost randomized cancer trials at an academic cancer center

Andrew J Vickers1, Behfar Ehdaie2, Hanae K Tokita3

  • 1Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

PubMed
Abstract

Insights

Implementing four innovative strategies significantly improved patient enrollment in cancer clinical trials. These methods address common barriers, making trials more accessible and efficient for patients and researchers.

Area of Science:

  • Oncology
  • Clinical Trials
  • Biostatistics

Background:

  • Low patient accrual is a persistent challenge in cancer clinical trials, often leading to premature closure.
  • Statistical models are increasingly used to predict trial failures due to low enrollment.
  • Previous research proposed four methodological solutions to enhance clinical trial accrual.

Purpose of the Study:

  • To report the practical application of four proposed methodological fixes for improving patient accrual in randomized cancer clinical trials.
  • To evaluate the feasibility and success of these innovative trial designs in a real-world setting.

Main Methods:

  • Reducing eligibility criteria to broaden patient access.
  • Utilizing routine clinical practice data for trial endpoints.
  • Employing cluster randomization to increase patient participation.
  • Implementing staged consent procedures to streamline enrollment.

Main Results:

  • Seven single-center randomized trials were successfully completed, with nearly 10,000 patients accrued across ongoing studies.
  • These trials included surgical interventions, historically challenging areas for accrual.
  • The majority of trials were not externally funded, indicating cost-effectiveness.

Conclusions:

  • The implemented methodological fixes proved effective in enhancing patient accrual for randomized cancer clinical trials.
  • Further investigation into innovative trial designs is recommended for medical and radiotherapy interventions.
  • The findings suggest that these strategies can be successfully applied in major cancer centers with existing research infrastructure.