Early identification of participants at risk of cognitive decline: An online tool for patient prediction of cognitive decline
Marcela Ines Cespedes, Rodrigo Canovas, Cai Gillis, Nancy N Maserejian, Paul Maruff, Christopher J Fowler, Stephanie R Rainey‐Smith, Ralph N Martins, Colin L Masters, James D. Doecke · 2025
Read Early identification of participants at risk of cognitive decline: An online tool for patient prediction of cognitive decline by Marcela Ines Cespedes, Rodrigo Canovas, Cai Gillis, Nancy N Maserejian, Paul Maruff, Christopher J Fowler, Stephanie R Rainey‐Smith, Ralph N Martins, Colin L Masters, James D. Doecke (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11712185.txt.
Description
Marcela Ines Cespedes and nine co-authors build a web tool that forecasts thinking decline in Alzheimer's disease in a 2025 paper. New drugs help most before symptoms bloom, so trials need sharp models of how minds slide. Past models leaned on small sets with gaps. Their base is the largest full natural history pool yet, a consortium set with brain scans and years of tests.
Near two thousand nine hundred people fed the model: unimpaired, mildly impaired, demented, and crossers between states. Curves of decline were fit by age and sex, then tied to amyloid load. The tool, PADPT, takes a single visit's data and projects the path ahead. The authors aim it at picking trial members and reading drug effects against a fair baseline.
Catalog record
| CREATOR | Marcela Ines Cespedes, Rodrigo Canovas, Cai Gillis, Nancy N Maserejian, Paul Maruff, Christopher J Fowler, Stephanie R Rainey‐Smith, Ralph N Martins, Colin L Masters, James D. Doecke |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 3 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |