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Dose Response Curve: Conventional Versus Nonmonotonic01:21

Dose Response Curve: Conventional Versus Nonmonotonic

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The correlation between a drug's dosage and its impact on a biological system is a cornerstone of pharmacology and toxicology. Conventional dose–response curves, which include graded and quantal relationships, are key to this understanding. Graded dose–response curves depict the spectrum of a biological reaction to different doses within an individual, indicating that as the drug dosage increases, so does the intensity of the response. On the other hand, quantal dose–response...
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Dose Size and Dosing Frequency: Determination Methods01:21

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Determining the optimal dose size and dosing frequency in pharmacotherapy is crucial for achieving therapeutic effectiveness while minimizing adverse effects. This article explores the methodologies employed in determining these parameters, focusing on their significance and interplay to tailor dosing regimens.Dose Size: Dose size refers to the amount of a drug administered in a single dose. It is determined based on the drug's pharmacodynamics and pharmacokinetics properties and...
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Dosage Regimens: Designs and Approaches01:28

Dosage Regimens: Designs and Approaches

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Designing a dosage regimen, which refers to the manner of drug administration, is a complex process involving the selection of drug dose, route, and frequency. This process is underpinned by pharmacokinetic parameters derived from tests and population averages. These parameters are then tailored to patient-specific variables such as diagnosis, demographics, and allergy status. Once therapy commences, therapeutic response monitoring is critical and achieved through clinical and physical...
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Determination of Multiple Dosing Parameters: Loading and Maintenance Doses01:25

Determination of Multiple Dosing Parameters: Loading and Maintenance Doses

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A loading dose is an essential pharmacological strategy to rapidly achieve the target plasma drug concentration necessary for an immediate therapeutic effect. This approach is especially critical for drugs characterized by slow absorption or extended half-lives, where delaying therapeutic plasma levels could compromise treatment outcomes. By administering a loading dose, clinicians ensure a prompt onset of drug action, even for agents with complex pharmacokinetic profiles.Achieving steady-state...
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Dose-Response Relationship: Overview01:03

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Agonists can bind with and activate receptors, resulting in the formation of drug-receptor complexes. Once formed, these complexes catalyze many biochemical processes at the cellular level and subsequently induce a pharmacologic response. The degree of response is directly proportional to the fraction of activated receptors, which in turn, depends on the concentration of the drug at the receptor site as well as the sensitivity of the receptor. An increase in the administered dose contributes to...
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Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model01:14

Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model

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The link model is a fundamental pharmacokinetic-pharmacodynamic (PK–PD) approach to account for delayed drug responses when the observed effect does not immediately correlate with the drug's plasma concentration peak. This delay is mathematically addressed by introducing an effect compartment concentration, Ce, which is kinetically linked to the plasma concentration, Cp, via a first-order rate constant, ke0. The linkage allows for a more accurate prediction of drug effects over time. A...
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Related Experiment Video

Updated: Feb 26, 2026

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
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Dose Transition Pathways: The Missing Link Between Complex Dose-Finding Designs and Simple Decision-Making.

Christina Yap1, Lucinda J Billingham2, Ying Kuen Cheung3

  • 1Cancer Research UK Clinical Trials Unit, University of Birmingham, Birmingham, United Kingdom. c.yap@bham.ac.uk.

Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|July 23, 2017
PubMed
Summary

Dose transition pathways (DTP) simplify model-based dose-finding designs, enhancing clinical trial efficiency. This tool guides decisions for novel therapy assessment, making complex methods more accessible for investigators.

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Area of Science:

  • Clinical pharmacology
  • Biostatistics
  • Drug development

Background:

  • Novel therapies require efficient tolerability and activity assessment.
  • Model-based dose-finding designs offer advantages over conventional methods but are underutilized.
  • Practical and methodological challenges hinder the implementation of model-based designs.

Purpose of the Study:

  • To introduce Dose Transition Pathways (DTP) as a tool to address challenges in implementing model-based dose-finding designs.
  • To facilitate the practical application and understanding of model-based designs in clinical trials.
  • To aid in tailoring model-based designs to specific trial requirements and clinical judgments.

Main Methods:

  • DTP projects future dose recommendations (stay, escalate, de-escalate, stop early) based on accumulated data.
  • DTP is used to fine-tune specified statistical models to trial-specific needs, including toxicity stopping rules.
  • A modified continual reassessment method utilizing DTP was illustrated in an acute myeloid leukemia trial.

Main Results:

  • DTP simplifies model-based designs, demystifying them as complex systems and acting as a decision-making guide.
  • The tool facilitates investigator understanding and decision-making for dose adjustments.
  • Implementation in an acute myeloid leukemia trial demonstrated seamless and clear dose recommendations.

Conclusions:

  • Dose Transition Pathways (DTP) are advocated as an integral procedure for developing and implementing practical model-based designs.
  • DTP enhances the usability and acceptance of advanced statistical methods in clinical trials.
  • The tool supports collaborative efforts between statisticians and investigators for successful trial design and execution.