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Prevention of sporadic Alzheimer's disease: lessons learned from clinical trials and future directions

期刊

LANCET NEUROLOGY
卷 14, 期 9, 页码 926-944

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/S1474-4422(15)00153-2

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资金

  1. Beaufour Ipsen Pharma
  2. Elan
  3. Lilly
  4. Nestle
  5. Pierre Fabre
  6. Sanofi
  7. Servier
  8. EU
  9. Lundeck Neuroscience Foundation
  10. US Alzheimer's Association
  11. Janssen
  12. US National Institute on Aging
  13. Toyama
  14. Abbott
  15. Abbvie
  16. Amgen
  17. Anavex
  18. AstraZeneca
  19. Biogen Idec
  20. Biotie
  21. Bristol-Myers Squibb
  22. Cardeus
  23. Cohbar
  24. Eisai
  25. Eli Lilly
  26. Genentech
  27. Ichor
  28. iPerian
  29. Lundbedc
  30. Medivation
  31. Merck
  32. NeuroPhage
  33. Novartis
  34. Pfizer
  35. Probiodrug
  36. Roche
  37. Somaxon
  38. Lundbeck
  39. MSD
  40. Otsuka
  41. Regeneron
  42. Biogen
  43. TauRx Therapeutics
  44. National Institute for Health Research [NF-SI-0512-10053] Funding Source: researchfish

向作者/读者索取更多资源

Interventions that have even quite modest effects at the individual level could drastically reduce the future burden of dementia associated with Alzheimer's disease at the population level. In the past three decades, both pharmacological and lifestyle interventions have been studied for the prevention of cognitive decline or dementia in randomised controlled trials of individuals mostly aged older than 50-55 years with or without risk factors for Alzheimer's disease. Several trials testing the effects of physical activity, cognitive training, or antihypertensive interventions showed some evidence of efficacy on a primary cognitive endpoint. However, most of these trials had short follow-up periods, and further evidence is needed to confirm effectiveness and establish the optimum design or dose of interventions and ideal target populations. Important innovations in ongoing trials indude the development of multidomain interventions, and the use of biomarker or genetic inclusion criteria. Challenges indude the use of adaptive trial designs, the development of standardised, sensitive outcome measures, and the need for interventions that can be implemented in resource-poor settings.

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