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Dosage Regimens: Designs and Approaches01:28

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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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Bioavailability studies are essential for understanding how a drug is absorbed, distributed, metabolized, and excreted in the body. These studies assess the extent and rate at which the active pharmaceutical agent becomes available at the site of action. The design of bioavailability studies can involve single-dose or multiple-dose regimens, each with distinct advantages and limitations.Single-dose studies are the preferred approach due to their simplicity and reduced drug exposure for...
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Dosage Regimens: Partial Pharmacokinetic Parameters01:01

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It is not uncommon for complete drug pharmacokinetic profiles to remain elusive in pharmacokinetics. This necessitates certain educated assumptions by pharmacokineticists to determine appropriate dosage regimens without comprehensive pharmacokinetic data from animal or human studies. One prevalent assumption is setting the bioavailability factor, denoted as F, to 1 or 100%. This assumption caters to the scenario where a drug doesn't achieve full systemic absorption, resulting in the patient...
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Body:Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...
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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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Body:Bioequivalence experimental study designs are crucial methodologies used in evaluating and comparing the bioavailability of different drug products. These designs are categorized into various types: completely randomized, randomized block, repeated measures, cross and carry-over, and Latin square designs.Completely randomized designs involve randomly allocating treatments to all subjects participating in the experiment. This allocation is achieved by assigning unique random numbers to...
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A two-stage Bayesian adaptive design for minimum effective dose (MinED)-based dosing-finding trials.

Rongji Mu1, Guoying Xu2, Guanfu Liu3

  • 1Clinical Research Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.

Contemporary Clinical Trials
|July 25, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a novel Bayesian adaptive design for identifying the minimum effective dose (MinED) in clinical trials. This model-free approach targets the lowest effective dose, improving upon traditional methods focused solely on toxicity.

Keywords:
Bayesian adaptive dose-finding trialInterval-based designMinimum effective doseRandom scenario generative algorithm

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Area of Science:

  • Clinical Trial Design
  • Biostatistics
  • Pharmacology

Background:

  • Conventional Phase I trials often focus on maximum tolerated dose (MTD), which may not be the optimal dose for efficacy.
  • Identifying the minimum effective dose (MinED) is crucial for optimizing treatment strategies.
  • Existing MinED studies often involve complex dose-ranging or dose-response designs.

Purpose of the Study:

  • To propose a new Bayesian two-stage adaptive design for MinED-based dose-finding studies.
  • To develop a model-free approach suitable for various dose-efficacy relationships.
  • To provide a practical implementation tool for the proposed design.

Main Methods:

  • A novel Bayesian two-stage adaptive design schema is proposed, building upon interval-based Phase I methods.
  • The design is model-free, avoiding pre-specified dose-efficacy curves.
  • A random scenario generative algorithm was developed for comprehensive simulation studies.

Main Results:

  • The proposed method demonstrates desirable theoretical properties, including semi-coherence and consistency.
  • Simulation studies confirmed the desirable performance of the new adaptive design.
  • The method is suitable for various dose-efficacy relationships.

Conclusions:

  • The developed Bayesian adaptive design offers an effective and flexible approach for identifying the minimum effective dose.
  • The model-free nature enhances its applicability across different therapeutic areas.
  • An R package and Shiny app are available for practical implementation.