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相关概念视频

Clinical Trials01:16

Clinical Trials

10.1K
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.
There are four phases in a clinical trial. A phase one...
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Clinical Trials: Overview01:11

Clinical Trials: Overview

4.5K
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...
4.5K
Data Collection by Experiments01:13

Data Collection by Experiments

26.8K
Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
26.8K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

376
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,...
376
Data Collection I01:30

Data Collection I

7.7K
Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
7.7K
Data Collection II01:29

Data Collection II

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The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
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相关实验视频

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Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
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洞察力为优化临床试验数据收集的策略提供信息.

Kenneth Getz1, Emily Botto2, Ana Calduch Arques3

  • 1Tufts Center for the Study of Drug Development, Tufts University School of Medicine, Boston, MA, USA. kenneth.getz@tufts.edu.

Therapeutic innovation & regulatory science
|December 30, 2025
PubMed
概括

临床试验数据收集正在增加,非核心和非必要的程序对参与者和现场负担作出了重大贡献. 通过减少不必要的数据收集来优化协议可以降低负担.

关键词:
临床协议 临床协议临床研究数据 临床研究数据临床试验的设计协议复杂性 协议复杂性协议数据 协议数据协议设计 协议设计协议的终点 协议的终点

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科学领域:

  • 临床研究行动临床研究行动.
  • 临床试验中的数据管理
  • 制药发展 制药发展

背景情况:

  • 过去的研究量化了支持临床试验终点的程序,但没有数据量或参与者负担.
  • 越来越多的数据收集影响了临床试验的效率和资源分配.

研究的目的:

  • 更新临床试验数据收集的基准.
  • 确定优化数据收集和减少参与者和站点负担的机会.

主要方法:

  • 分析了2018年之后开始的105个多疗法临床试验协议.
  • 根据终点支持,将程序分为核心,标准和非核心.
  • 评估数据量,程序的必要性,以及相关的负担.

主要成果:

  • 每个III期协议的平均数据量为590万个数据点,每年增长11%.
  • 非核心程序占总程序的16-18%,大量数据收集用于探索性目的.
  • 支持核心终点的非必要程序贡献了8.2-17.1%的总数据点,高达30%的参与者/网站负担.

结论:

  • 临床试验程序和数据收集的很大一部分是非核心或非必要的.
  • 减少非核心和非必要的数据收集,特别是从问卷中收集的数据,可以大大减少参与者和站点的负担.
  • 简化协议设计对于提高临床试验效率和参与者体验至关重要.