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Quality Tolerance Limits: A General Guidance for Parameter Selection and Threshold Setting.

Annett Keller1, Nathalie van Borrendam2, Patrice Benner3

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Summary
This summary is machine-generated.

Quality by Design (QbD) in clinical trials uses Quality Tolerance Limit (QTL) parameters to monitor risks. This approach ensures trial integrity by defining acceptable risk ranges for critical data and processes.

Keywords:
CtQ factorData simulationHistorical dataQTL ParameterQTL Threshold setting methodologiesQuality Tolerance Limits (QTLs)

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Area of Science:

  • Clinical trial methodology
  • Pharmaceutical quality assurance
  • Regulatory science

Background:

  • The Quality by Design (QbD) approach is increasingly recognized for enhancing clinical trial quality.
  • Identifying Critical to Quality (CtQ) factors, particularly Critical Data and Processes (CD&Ps), is central to risk-based monitoring.
  • A gap exists in understanding how to operationalize risk monitoring within QbD frameworks.

Purpose of the Study:

  • To define Quality Tolerance Limit (QTL) parameters within the QbD framework for clinical trials.
  • To provide guidance on establishing thresholds for QTL parameters.
  • To enable the derivation of acceptable risk ranges for Critical Data and Processes (CD&Ps).

Main Methods:

  • Conceptual definition of QTL parameters.
  • Exploration of the link between QTL parameters and trial scientific questions.
  • Guidance on setting QTL parameter thresholds for risk assessment.

Main Results:

  • QTL parameters are defined as variables monitoring risk evolution for CD&Ps.
  • QTL parameters are directly linked to trial endpoints and scientific integrity.
  • Methodology for setting QTL thresholds to establish acceptable risk ranges is proposed.

Conclusions:

  • QTL parameters are essential for effective risk-based monitoring in QbD-guided clinical trials.
  • Establishing QTL thresholds provides a framework for maintaining trial integrity.
  • This work supports the robust implementation of QbD principles in clinical research.