ReviewNPJ Parkinson's disease2026
Unraveling the intersection of aging and Parkinson's disease: a collaborative roadmap for advancing research models.
Review in NPJ Parkinson's disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
Aging is the most significant risk factor for Parkinson's disease (PD), yet its role remains underexplored. The International Network for Parkinson's Disease Modelling and Aging (PD-AGE), funded by the Michael J. Fox Foundation, was established to address these challenges. Through collaborative efforts, the PD-AGE mouse-model working group developed a roadmap to prioritize mouse models, reach consensus on experimental approaches, and standardize protocols to investigate the intersection of aging and PD.
Identifiers
What Socratic holds
Registered trials
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.