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相关概念视频

Pharmacovigilance01:19

Pharmacovigilance

829
Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
829
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

125
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,...
125
Clinical Trials: Overview01:11

Clinical Trials: Overview

2.9K
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...
2.9K

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相关实验视频

Updated: Jun 27, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
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从多数据源研究合作中吸取的经验教训:Mirabegron授权后安全研究计划

Stefan de Vogel1, John D Seeger2, Alejandro Arana3

  • 1Pharmacovigilance, Astellas Pharma B.V., Leiden, The Netherlands.

Pharmacoepidemiology and drug safety
|April 29, 2024
PubMed
概括
此摘要是机器生成的。

进行大型,多数据源,非干预性,授权后安全研究 (NI-PASS) 需要仔细规划. 成功的关键因素包括合作,透明度和可靠的安全评估的强有力的方法.

关键词:
学习学习学习学习.多元数据源非干预性授权后安全研究.组织和方法的组织和方法.研究合作研究合作.

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A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
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A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

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相关实验视频

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Use of Magnetic Resonance Imaging and Biopsy Data to Guide Sampling Procedures for Prostate Cancer Biobanking
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科学领域:

  • 药监和药物安全 药监和药物安全
  • 流行病学 流行病学
  • 监管科学 监管科学

背景情况:

  • 多数据源,非干预性,授权后安全研究 (NI-PASS) 是监管提交的复杂企业.
  • 评估从这些大型研究中学到的经验教训为未来的研究提供了宝贵的见解.

研究的目的:

  • 讨论成功执行营销后要求 (PMR) /授权后安全研究 (PASS) 计划的挑战和关键因素.
  • 为了调查与Mirabegron相关的心血管和癌症事件风险,一个过度活跃的膀药物.

主要方法:

  • 这项研究涉及多个数据源,非干预性设计.
  • 方法考虑包括数据源选择,患者数量,比较组和混因素.
  • 组织方面的重点是合作,透明度和项目管理.

主要成果:

  • 他们分享了关于研究合作,科学透明度和组织方法的学习.
  • 讨论了减轻延迟的不确定性和确保结果有效性的方法.
  • 介绍了优化患者人数,比较组和概括性的策略.

结论:

  • 成功执行大型PMR/PASS计划需要长期的承诺和有效的协调.
  • 合作伙伴,咨询委员会,赞助商和卫生当局之间的广泛科学互动至关重要.
  • 该计划为多数据源NI-PASS的设计和组织提供了宝贵的学习经验.