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Recent Alzheimer's disease (AD) trials show promise. Analyzing efficacy across cognition, function, and global domains reveals true treatment successes and failures more clearly, guiding future AD drug development.

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Area of Science:

  • Neurology
  • Clinical Trials
  • Pharmacology

Background:

  • Recent Alzheimer's disease (AD) trials achieved success with amyloid-targeting monoclonal antibodies, stimulating new research avenues.
  • Understanding past AD trial successes and failures is crucial for optimizing future research, particularly for combination therapies.

Purpose of the Study:

  • To systematically review randomized clinical trials for Alzheimer's disease treatments.
  • To evaluate the efficacy of treatments by analyzing combined outcomes across cognitive, functional, and global domains.

Main Methods:

  • Systematic review of placebo/sham-controlled randomized clinical trials for mild cognitive impairment due to AD or mild-moderate AD.
  • Inclusion of studies reporting at least two domains: cognitive, function, and global.
  • Utilized a global statistical test (GST) and time savings metric to assess overall efficacy and treatment benefit magnitude.

Main Results:

  • Analyzed 217 studies encompassing over 130 AD treatments.
  • Identified studies previously considered failures showing positive effects, and promising studies proving to be failures.
  • Meta-analyses revealed overlooked mechanisms and confirmed conclusive treatment failures.

Conclusions:

  • Alzheimer's treatment efficacy is often obscured by evaluating single domains (cognition, function, or global).
  • Combined outcome measures provide a more reliable assessment of true treatment efficacy and lack thereof.
  • This approach enhances the detection of genuine treatment effects, potentially avoiding controversies like the aducanumab approval.