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The remarkable therapeutic potential of response-based dose individualisation in drug trials and patient care

机译:药物试验和患者护理中基于响应的剂量个性化的显着治疗潜力

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摘要

The FDA reported that most drugs are effective in only 25–62% of patients. Although many drugs require dose individualisation in clinical practice, dose-finding trials usually aim to identify an optimal dose for the patient population. Such a dose would be suboptimal for many patients. Simulations show that individualised dose titration, balancing efficacy against toxicity, can remarkably increase the response rate — doubling it in some situations. Dose titration in a clinical trial can efficiently establish the realistic expectations for the drug’s true utility in a trial setting that reflects clinical practice, as well as generate important knowledge to guide patient care through informative drug labels. This design answers key questions truly relevant to patient care that other designs cannot — will a patient benefit from a given therapy, to what extent and at what dose? Therefore, response-based dose titration should be considered for dose-finding trials, where appropriate, for drugs that will eventually be used this way in the clinic.
机译:FDA报道,大多数药物仅为25-62%的患者有效。虽然许多药物需要临床实践中的剂量个性化,但剂量发现试验通常旨在鉴定患者人群的最佳剂量。这种剂量将是许多患者的次优。模拟表明,个性化剂量滴定,平衡毒性的功效,可以显着提高响应率 - 在某些情况下翻倍。临床试验中的剂量滴定可以有效地为药物在反映临床实践的审判计划中为药物的真正效用进行​​有效地建立了现实的预期,以及通过信息性药物标签引导患者护理的重要知识。这种设计答案与患者护理真正相关的关键问题,即其他设计不能 - 将患者从给定的治疗中受益,在多大程度上和何时服用?因此,应考虑基于响应的剂量滴定,以便在适当的情况下进行剂量寻找试验,用于最终将在诊所中使用的药物。

著录项

  • 来源
    《Drug discovery today》 |2018年第8期|共6页
  • 作者

    Chao Chen;

  • 作者单位

    Clinical Pharmacology Modelling and Simulation;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 药学;
  • 关键词

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