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Lancet Psychiatry. 2018 Nov;5(11):871. doi: 10.1016/S2215-0366(18)30349-3. Epub 2018 Oct 26.
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A systematic review into the incidence, severity and duration of antidepressant withdrawal effects: Are guidelines evidence-based?一项关于抗抑郁药戒断效应的发生率、严重程度和持续时间的系统评价:指南是否基于证据?
Addict Behav. 2019 Oct;97:111-121. doi: 10.1016/j.addbeh.2018.08.027. Epub 2018 Sep 4.
4
Network meta-analysis of antidepressants.抗抑郁药的网状Meta分析
Lancet. 2018 Sep 22;392(10152):1010-1011. doi: 10.1016/S0140-6736(18)31797-5. Epub 2018 Sep 20.
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Effect of Aspirin on All-Cause Mortality in the Healthy Elderly.阿司匹林对健康老年人全因死亡率的影响。
N Engl J Med. 2018 Oct 18;379(16):1519-1528. doi: 10.1056/NEJMoa1803955. Epub 2018 Sep 16.
6
LDL-C does not cause cardiovascular disease: a comprehensive review of the current literature.LDL-C 不会导致心血管疾病:对当前文献的综合综述。
Expert Rev Clin Pharmacol. 2018 Oct;11(10):959-970. doi: 10.1080/17512433.2018.1519391. Epub 2018 Oct 11.
7
Dose Increase Versus Unchanged Continuation of Antidepressants After Initial Antidepressant Treatment Failure in Patients With Major Depressive Disorder: A Systematic Review and Meta-Analysis of Randomized, Double-Blind Trials.抗抑郁药治疗失败后增加剂量与继续使用原剂量治疗对首发抑郁症患者的影响:一项随机、双盲试验的系统评价和荟萃分析。
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8
Type 2 diabetes.2型糖尿病
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Integrating data from the Investigational Medicinal Product Dossier/investigator's brochure. A new tool for translational integration of preclinical effects.整合研究用药品档案/研究者手册中的数据。一种用于临床前效应转化整合的新工具。
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Associations of serum potassium levels with mortality in chronic heart failure patients.血清钾水平与慢性心力衰竭患者死亡率的关系。
Eur Heart J. 2017 Oct 7;38(38):2890-2896. doi: 10.1093/eurheartj/ehx460.

将剂量反应转化为风险和收益。

Translating the dose response into risk and benefit.

机构信息

Flat 15, Porters Edge, 29 Surrey Quays Road, London, SE16 7FZ, UK.

出版信息

Br J Clin Pharmacol. 2019 Oct;85(10):2187-2193. doi: 10.1111/bcp.13949. Epub 2019 May 17.

DOI:10.1111/bcp.13949
PMID:30945324
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6783622/
Abstract

When choosing a medicine two aspects determine the balance between benefit and harm (risk-benefit), matching the medicine to the individual and the choice of dose. Knowing the relationship between dose and response allows a calculation of the dose that causes 50% of the maximal effect, the ED . Rational drug dosing depends on defining the ratio of the dose to the ED . The ED of each drug has two scales, whether the effect measured is for efficacy, or safety. Quantifying efficacy is comparatively straightforward. A fall in blood pressure, combined with a statistical and clinically significant reduction in cardiovascular events, might justify the efficacy of an antihypertensive. Measuring a drug's effect on safety is more complex, as this is so often a subjective assessment of a collection of adverse events. Though a science-based therapeutic window defined from in vitro efficacy and safety dose response curves is reassuring, this review discusses how to translate this into dose-dependent risk-benefit based on clinical trial data. Some of the limitations of our knowledge about the choice of dose that optimizes an individual's risk-benefit, or whether no drug is a better option, are discussed. It is important to define these limitations when educating the consumer/patient about the clinical pharmacology that justifies their treatment dose options.

摘要

在选择药物时,有两个方面决定了利益和危害(风险-效益)之间的平衡,即药物与个体的匹配和剂量的选择。了解剂量与反应之间的关系可以计算出引起最大效应的 50%的剂量,即 ED。合理的药物剂量取决于定义剂量与 ED 的比值。每种药物的 ED 有两个尺度,无论测量的效果是疗效还是安全性。衡量疗效相对简单。血压下降,结合心血管事件的统计学和临床显著减少,可能证明降压药的疗效是合理的。衡量药物对安全性的影响则更为复杂,因为这通常是对一系列不良事件的主观评估。虽然基于体外疗效和安全性剂量反应曲线定义的科学治疗窗令人放心,但本综述讨论了如何根据临床试验数据将其转化为基于剂量的风险-效益。还讨论了我们对优化个体风险-效益的最佳剂量选择的认识的局限性,或者是否没有药物是更好的选择。在向消费者/患者解释支持其治疗剂量选择的临床药理学时,定义这些局限性非常重要。