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相关概念视频

Dose-Response Relationship: Overview01:03

Dose-Response Relationship: Overview

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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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Dose-Response Relationship: Potency and Efficacy01:22

Dose-Response Relationship: Potency and Efficacy

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The potency of a drug is the measure of its ability to produce a biological response and can be compared by looking at the half-maximum effective concentration or EC50 values of different drugs. A lower EC50 value indicates higher potency of the drug. In the dose–response curve of two antihypertensive drugs, candesartan and irbesartan, a significant difference is observed in their EC50 values. A lower EC50 value for candesartan indicates that it is more potent than irbesartan, as it...
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Dose-Response Relationship: Selectivity and Specificity01:25

Dose-Response Relationship: Selectivity and Specificity

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Drugs exert their therapeutic effects by interacting with receptors, enzymes, or ion channels that are present throughout the human body. The strength and duration of the interaction between a drug and its target receptor are characterized by the selectivity and specificity of the drug. Selectivity refers to a drug's strong preference for its intended target over other targets. For instance, isoprenaline, a non-selective β-adrenergic agonist, interacts with both β1- and...
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Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

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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,...
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Clinical Trials: Overview01:11

Clinical Trials: Overview

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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...
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Crossover Experiments01:16

Crossover Experiments

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Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
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Pretargeted Radioimmunotherapy Based on the Inverse Electron Demand Diels-Alder Reaction
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用于剂量确定临床试验的数据依赖对比试验.

Masahiro Kojima1

  • 1Biometrics Department, R&D Division, Kyowa Kirin Co., Ltd. Otemachi Financial City Grand Cube, 1-9-2 Otemachi, Chiyoda-ku, Tokyo 100-004, Japan; Research Center for Medical and Health Data Science, The Institute of Statistical Mathematics, Tokyo, Japan.

Contemporary clinical trials
|June 12, 2023
PubMed
概括

一个新的数据依赖的对比测试可以准确地确定最佳药物剂量. 这种强大的方法,使用顺序约束系数,通过可靠地确定剂量-反应关系来增强剂量发现临床试验.

科学领域:

  • 生物统计学 生物统计学
  • 临床药理学 临床药理学
  • 药物开发 药物开发

背景情况:

  • 剂量检测研究对于确定最佳治疗剂量至关重要.
  • 现有的方法在确定剂量-反应关系方面可能缺乏功率或灵活性.
  • 需要一个强大的统计方法来精确选择剂量.

研究的目的:

  • 引入一种依赖于数据的对比测试,用于剂量反应评估.
  • 建立一种选择最佳剂量反应模型和确定推剂量的方法.
  • 在各种场景中评估拟议测试的性能.

主要方法:

  • 使用通过池-相邻-违规者算法计算的顺序约束对比系数.
  • 实施依赖数据的对比测试以确定剂量-反应显著性 (p < 0.05).
  • 通过模拟研究将拟议的测试与传统方法和建模技术进行比较.

主要成果:

  • 数据依赖的对比测试成功证实了样本和实际研究数据中的剂量反应关系.
  • 该测试在没有剂量反应的数据集上显示出比传统方法更大的功率.
  • 即使没有治疗组差异,也保持了1型错误率在显著水平.
关键词:
对比性测试试验 测试对比性测试试验剂量确定性临床试验剂量-反应关系关系.

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Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation
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Irradiator Commissioning and Dosimetry for Assessment of LQ &#945; and &#946; Parameters, Radiation Dosing Schema, and in vivo Dose Deposition
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Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation
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结论:

  • 数据依赖的对比测试是剂量确定临床试验的强大而可靠的工具.
  • 该方法有效地识别了剂量反应关系,并推了最佳剂量.
  • 它为临床药理学中现有的统计方法提供了一个强大的替代方案.