Designing primary and secondary Alzheimer’s disease prevention studies for success with optimal measurement of risk, early pathology and clinical decline

Key Points

• Optimal measurement of risk can significantly enhance early detection of Alzheimer's disease.
• The study emphasizes the importance of assessing early pathology, which is crucial for intervention success.
• Designing prevention studies with robust clinical decline metrics may lead to better long-term outcomes.
• Addressing these measurement challenges in Alzheimer's research could aid in developing effective prevention strategies.