A New Source of Heterogeneity in Comparative and Translational Clinical Trials: The "Border-Time" Bias

Mariachiara Santorsola1, Michele Caraglia2, Guglielmo Nasti1

  • 1Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", Via M. Semmola, 80131 Naples, Italy.

Cancers
|November 11, 2022
PubMed

Insights

Targeted cancer therapies rely on biomarker expression. This study identifies "border time" bias in clinical trials, affecting progression-free survival evaluation due to screening and reassessment timing issues.

Area of Science:

  • Oncology
  • Clinical Trial Methodology
  • Biomarker Research

Background:

  • Targeted anti-cancer drugs are revolutionizing cancer treatment by integrating biomarker expression from laboratory testing into clinical practice.
  • Progression-free survival is a key endpoint in clinical trials for biologic anti-cancer agents, necessitating accurate time-to-outcome evaluation.

Purpose of the Study:

  • To describe the "border time" bias, an underestimated source of methodological heterogeneity in anti-cancer clinical trials.
  • To highlight how specific time points and intervals, particularly during screening and disease reassessment, can lead to inaccurate evaluations of time-to-outcome.

Main Methods:

  • Analysis of time-related factors in anti-cancer treatment protocols.
  • Identification of bias sources at the beginning (pre-screening and screening) and end (disease reassessment) of treatment phases.

Main Results:

  • "Border time" bias arises from specific time points and intervals in clinical trials.
  • This bias is concentrated in pre-screening, screening activities, and disease reassessment modalities.
  • These factors can lead to a wrong evaluation of time-to-outcome, impacting progression-free survival assessment.

Conclusions:

  • Reducing "border time" bias is crucial for accurate clinical trial results in targeted cancer therapy.
  • Shortening pre-screening and screening times using innovative tools and harmonizing disease reassessment rules can mitigate this bias.
  • Addressing these methodological issues will improve the reliability of clinical studies evaluating anti-cancer agents.

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