ArticleNPJ Parkinson's disease2025
Predictive modeling to uncover Parkinson's disease characteristics that delay diagnosis.
Article in NPJ Parkinson's disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The trial behind it
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Who cites it
5 citing papers in PubMed.
- Brain age gap as predictor of disease progression in Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Machine learning identifies lactate metabolism biomarkers and deciphers immune infiltration landscapes in Parkinson's disease.Scientific reports · 2025Article
- Exposure to ambient air pollution and onset of Parkinson's disease in a large cohort study.NPJ Parkinson's disease · 2025Article
- Global, Regional, and National Burdens of Parkinson's Disease in Adults Aged 20-50 Years, 1990-2021: A Cross-Sectional Study.Health science reports · 2025Article
- Predictive value of the combined DTI-ALPS index and serum creatinine levels in mild cognitive impairment in Parkinson's disease.Frontiers in neurology · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
PD patients present with diverse symptoms, complicating timely diagnosis. We analyzed 1124 PD trajectories using a novel model-based approach to estimate whether diagnosis was early or late compared to cohort averages. Higher age, specific non-motor symptoms, and fast disease progression were linked to later diagnosis, while gait impairment led to earlier diagnosis. Our findings are in line with a biological definition of PD that extends beyond classical motor symptoms.
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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 OpenQuestion graph.