Novel predictors of Alzheimer's disease in Down syndrome identified using machine learning.
Eric Rubenstein, Salina Tewolde, Amy Michals, Juan Fortea, Marcia Pescador Jimenez, Brian G Skotko, Yorghos Tripodis, Jennifer Weuve, Anthony J Rosellini
Article in Journal of Alzheimer's disease : JAD, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
9 authors.
Eric RubensteinDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, USA.ORCID 0000-0002-9146-4497
Salina TewoldeBoston University School of Public Health, Boston, MA, USA.
Amy MichalsCenter for Health Data Science, Boston University School of Public Health, Boston, MA, USA.
Juan ForteaSant Pau Memory Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau - Biomedical Research Institute Sant Pau- Universitat Autònoma de Barcelona, Carrer de Sant Antoni Maria Claret, Barcelona, Spain.
Marcia Pescador JimenezDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
Brian G SkotkoDown Syndrome Program, Massachusetts General Hospital, Boston, MA, USA.
Yorghos TripodisBoston University School of Public Health, Boston, MA, USA.
Jennifer WeuveDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
Anthony J RoselliniDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
Funding
DS-ARC: A Remote Digital Cognitive Assessment for Down Syndrome-Associated Alzheimer's DiseaseR01AG081394 · NIA · WASHINGTON UNIVERSITY · PI Jason J Hassenstab · 2023 to 2026
$6.0M
The Role of Inflammation and NGF Dysfunction in the Evolution of Alzheimer Disease Pathology in Down Syndrome-RevisionRF1AG056850 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI BUSCIGLIO, JORGE A, CUELLO, A CLAUDIO · 2018 to 2020
$5.9M
Clinical trials to prevent Alzheimer's Disease in Down SyndromeR61AG066543 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI RAFII, MICHAEL S · 2019 to 2020
$5.6M
Down Syndrome Toward Optimal Trajectories and Health using Medicaid Analytic eXtract (DS-TO-THE-MAX)R01AG073179 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Eric S Rubenstein · 2021 to 2026
$3.5M
Tau pathology in Down syndrome and Alzheimer'sRF1AG061566 · NIA · UNIVERSITY OF DENVER (COLORADO SEMINARY) · PI GRANHOLM-BENTLEY, ANN-CHARLOTTE ESTHER, MARGITTAI, MARTIN · 2019 to 2019
$3.4M
Sleep and Temperature Disturbance as risk factors for Alzheimer's Disease in Down Syndrome: a Longitudinal StudyRF1AG080769 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BLESSING, ESTHER MARIAN, FORTEA, JUAN · 2023 to 2023
$1.9M
Biological Correlates of Alzheimer in Down Syndrome.R21AG056974 · NIA · UNIVERSITY OF DENVER (COLORADO SEMINARY) · PI GRANHOLM-BENTLEY, ANN-CHARLOTTE ESTHER · 2017 to 2018
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.