ArticleMovement disorders : official journal of the Movement Disorder Society2025
Brain Atrophy Does Not Predict Clinical Progression in Progressive Supranuclear Palsy.
Article in Movement disorders : official journal of the Movement Disorder Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Cited by 4 papers.
What it found
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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.
A Double-Blind, Placebo-Controlled, Randomized, Parallel-Group Study Evaluating the Safety, Tolerability, and Efficacy of Two Different Oral Doses of NP031112, a GSK-3 Inhibitor, Versus Placebo in the Treatment of Patients With Mild-to-Moderate Progressive Supranuclear Palsy
A Phase 2/3, Randomized, Double-Blind, Placebo-Controlled, Study to Evaluate the Safety and Efficacy of Davunetide for the Treatment of Progressive Supranuclear Palsy
A Randomized, Double-Blind, Placebo-Controlled Multiple Dose Study to Assess Efficacy, Safety, Tolerability, and Pharmacokinetics of ABBV-8E12 in Progressive Supranuclear Palsy
A Randomized, Double-Blind, Placebo-Controlled, Parallel-Group Study to Evaluate the Efficacy and Safety of Intravenously Administered BIIB092 in Participants With Progressive Supranuclear Palsy
Who cites it
4 citing papers in PubMed.
- Neuroimaging and Pathology Biomarkers in Parkinson's Disease and Parkinsonism.Brain sciences · 2026Article
- Utility of Progression Rate Since Symptom Onset in Predicting Subsequent Survival in Progressive Supranuclear Palsy.Movement disorders : official journal of the Movement Disorder Society · 2026Article
- Magnetic resonance imaging volumetry in atypical parkinsonism: current evidence and neuroradiological perspectives.Frontiers in aging neuroscience · 2026Review
- Neuroprotection trial design in progressive supranuclear palsy: challenges and solutions.Alzheimer's & dementia (New York, N. Y.)Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundClinical progression rate is the typical primary endpoint measure in progressive supranuclear palsy (PSP) clinical trials.
objectivesThis longitudinal multicohort study investigated whether baseline clinical severity and regional brain atrophy could predict clinical progression in PSP-Richardson's syndrome (PSP-RS).
methodsPSP-RS patients (n = 309) from the placebo arms of clinical trials (NCT03068468, NCT01110720, NCT02985879, NCT01049399) and DescribePSP cohort were included. We investigated associations of baseline clinical and volumetric magnetic resonance imaging (MRI) data with 1-year longitudinal PSP rating scale (PSPRS) change. Machine learning (ML) models were tested to predict individual clinical trajectories.
resultsPSP-RS patients showed a mean PSPRS score increase of 10.3 points/yr. The frontal lobe volume showed the strongest association with subsequent clinical progression (β: -0.34, P < 0.001). However, ML models did not accurately predict individual progression rates (R
conclusionsBaseline clinical severity and brain atrophy could not predict individual clinical progression, suggesting no need for MRI-based stratification of patients in future PSP trials. © 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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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.