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Clinical Trials

Clinical Trials

Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
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Clinical Trials: Overview

Clinical Trials: Overview

Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs

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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...

Preclinical Development: Overview

Preclinical Development: Overview

Preclinical development consists of a series of tests that ensure the safety and efficacy of a new therapeutic compound before it is tested in humans. There are four main phases to this process. First, safety pharmacology tests are conducted to ensure the drug does not produce any acutely harmful effects. These tests examine parameters such as bronchoconstriction, cardiac dysrhythmias, blood pressure changes, and ataxia. Next, preliminary toxicological testing is performed to determine the...

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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...

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Related Experiment Video

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A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition

A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition

Published on: September 20, 2019

Adaptive design methods in clinical trials - a review.

Shein-Chung Chow¹, Mark Chang

¹Duke University School of Medicine, Durham, North Carolina, USA. sheinchung.chow@duke.edu

Orphanet Journal of Rare Diseases

|May 6, 2008

Summary

Adaptive designs offer flexibility in clinical trials but risk altering patient populations and Type I error rates. This review examines prospective, concurrent, and retrospective adaptive designs, discussing challenges and strategies for rare diseases.

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Area of Science:

Clinical Research
Biostatistics
Drug Development

Background:

Adaptive design methods are increasingly popular in clinical research for their flexibility and efficiency.
These designs allow modifications to ongoing clinical trials based on accrued data.
Adaptive designs can be prospective, concurrent (ad hoc), or retrospective.

Purpose of the Study:

To review commonly used adaptive designs in clinical trials.
To discuss the impacts, challenges, and obstacles associated with different types of adaptive designs.
To explore strategies for using adaptive designs in rare disease development.

Main Methods:

Review of literature on adaptive design methodologies.
Analysis of impacts of ad hoc adaptations (protocol amendments).
Discussion of challenges in prospective and retrospective adaptations.

Main Results:

Concerns exist regarding potential deviations from target patient populations and control of Type I error rates.
Major adaptations may lead to trials that do not address the original scientific questions.
Examples from Velcade development for multiple myeloma and non-Hodgkin's lymphoma are provided.

Conclusions:

Adaptive designs present practical issues that require careful consideration during implementation.
Strategies for rare disease drug development using adaptive designs are discussed.
Balancing flexibility with scientific integrity and error control is crucial for adaptive clinical trials.