Pooling Alzheimer's disease clinical trial data to develop personalized medicine approaches is easier said than done: A proof-of-principle study and call to action.
Mark A DubbelmanEleonora M VromenBetty M TijmsJohannes BerkhofLois OttenhoffEverard G B VijverbergNiels D PrinsWiesje M van der FlierSietske A M SikkesPublished in: Alzheimer's & dementia (New York, N. Y.) (2024)
Pooling data from past Alzheimer's disease clinical trials may help identify subgroups most likely to benefit from specific treatments and may help inform future trial design.Accessing past trial datasets is complicated, frustrating the field's communal effort to find the best treatments for the right individuals.We urge trial sponsors and the academic research community to remove data access barriers and improve collaboration through practicing open science and harmonizing outcome measures.