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'Clean athlete status' cannot be certified: Calling for caution, evidence and transparency in 'alternative'
Andrea Petróczi1, Susan H Backhouse2, Ian D Boardley3
1School of Life Sciences, Pharmacy and Chemistry, Faculty of Science, Engineering and Computing, Kingston University London, Penrhyn Road, Kingston-upon-Thames, Surrey, KT1 2EE, United Kingdom.
Alternative anti-doping systems, like the Clean Protocol™, risk athlete fairness and legitimacy. Their unvalidated methods and misuse of data pose significant dangers, undermining clean sport efforts.
Area of Science:
- Sports Science
- Anti-Doping Research
- Regulatory Science
Background:
- The global anti-doping system, despite two decades of effort, remains imperfect.
- Frustrations with the current system have led to the emergence of alternative anti-doping protocols.
- These alternative systems operate outside the established global regulatory framework, raising concerns about accountability, legitimacy, and athlete fairness.
Purpose of the Study:
- To scrutinize the Clean Protocol™, the most comprehensive alternative anti-doping system.
- To analyze the alleged logical and scientific merits and shortcomings of the Clean Protocol™.
- To alert the anti-doping community to potential pitfalls of unvalidated assessment tools and new approaches.
Main Methods:
- Detailed analysis of the Clean Protocol™'s claims and operating principles.
- Critical evaluation of the scientific and logical basis of the protocol's assessment tools.
- Examination of the potential risks and harms associated with the protocol's implementation.
Main Results:
- The Clean Protocol™ utilizes assessment tools beyond their validated scope.
- New anti-doping approaches are implemented without prior validation.
- Protocols that disadvantage athletes or risk their well-being lack legitimacy.
Conclusions:
- The use of anti-doping data and research out of context is criticized.
- Widespread implementation of such protocols risks unintended harms to athletes and the integrity of clean sport.
- Alternative systems must be rigorously validated and ensure fairness and legitimacy for all stakeholders.
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