反兴奋剂战略中法医层面的整合。

Medicine and sport science Pub Date : 2017-01-01 Epub Date: 2017-06-01 DOI:10.1159/000460723
François Marclay, Martial Saugy
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引用次数: 5

摘要

传统上,反兴奋剂研究一直受到技术改进的需要的刺激,以适应禁止物质和方法清单的扩大。然而,近年来,由于兴奋剂方法的日益复杂和不断完善,反兴奋剂发现自己处于十字路口。正如2012年美国反兴奋剂机构(USADA)诉兰斯·阿姆斯特朗案所表明的那样,范式的改变是必要的。探索新的科学途径来了解兴奋剂的机制并查明其做法是最需要的,以便设计更有效的预防或破坏性策略。在此背景下,以及在2017年撰写本文时,将司法情报的概念转化为反兴奋剂的概念被认为是一种有希望的方法,可以以主动而非被动的方式解决兴奋剂的不同方面,从运动员个人到有组织的兴奋剂和药物贩运。事实上,收集、组织和逻辑处理多个信息来源,而不是严格的尿液和血液样本的生物分析测试结果,可以为检测和描述潜在的、新出现的或现有的兴奋剂问题带来额外的价值。这种反兴奋剂情报可以为反兴奋剂当局和相关利益相关者提供及时、准确和可用的信息,用于决策,以解决、减少和/或防止与兴奋剂有关的活动。将情报与其他反兴奋剂方法相结合,是开发更有效、更有力的反兴奋剂战略的潜在重要一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integration of the Forensic Dimension into Anti-Doping Strategies.

Traditionally, research in anti-doping has been stimulated by the need for technological improvements to accommodate the expansion of the list of prohibited substances and methods. Nevertheless, in recent years, anti-doping found itself at a crossroads due to the increasing complexity and constant refinement of doping methods. As illustrated by the 2012 USADA (United States Anti-Doping Agency) versus Lance Armstrong case, a change in paradigm was necessary. The exploration of new scientific avenues to understand the mechanisms of doping and pinpoint its practice was most needed to allow designing more efficient preventive or disruptive strategies. In this context, and at the time of writing in 2017, transposing the concept of forensic intelligence to anti-doping was identified as a promising approach to address the different aspects of doping, from the individual athlete to organized doping and trafficking of substances in a proactive rather than a reactive way. Indeed, collection, structuring, and logical processing of multiple sources of information, and not strictly results of bioanalytical testing of urinary and blood samples, can bring additional value to detect and describe potential, emerging, or existing doping issues. This anti-doping intelligence can provide anti-doping authorities and relevant stakeholders with timely, accurate, and usable information for decision making to solve, reduce, and/or prevent doping-related activities. The integration of intelligence to complement other anti-doping approaches is a potentially major step forward in the development of more effective and robust anti-doping strategies.

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