ReviewBrain communications2025
Biomarkers of disease progression in progressive supranuclear palsy for use in clinical trials.
Review in Brain communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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
8 citing papers in PubMed.
- Pallidal Volumetry and Neutrophil-to-Lymphocyte Ratio in Differentiating Progressive Supranuclear Palsy from Parkinson's Disease.Diseases (Basel, Switzerland) · 2026Article
- Data-driven modelling of tau pathology reveals distinct progressive supranuclear palsy subtypes.Brain : a journal of neurology · 2026Article
- Opposite molecular sex correlations in tauopathy paralleled by motor and cognitive efficacy of davunetide in women.Molecular psychiatry · 2026Article
- Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy.Annals of clinical and translational neurology · 2026Article
- From clinical phenotypes to molecular precision: multimodal biomarkers for progressive supranuclear palsy.Frontiers in neuroscience · 2026Review
- Diagnostic utility of biomarkers in progressive supranuclear palsy: toward a biotyping framework.Journal of neurology · 2025Review
- Brain Atrophy Does Not Predict Clinical Progression in Progressive Supranuclear Palsy.Movement disorders : official journal of the Movement Disorder Society · 2025Article
- Developing a novel reference region for [European journal of nuclear medicine and molecular imaging · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Progressive supranuclear palsy (PSP) is a rare neurodegenerative disease with no current disease-modifying treatments approved. Longitudinal research and clinical trials for PSP are ongoing and require reliable measures that are sensitive to disease progression. Despite susceptibility to subjective limitations, clinical and cognitive assessments are the most used instruments in therapeutic trials in PSP. The objective of this review was to identify measures that have been studied longitudinally as measures of progression and are suitable for use as clinical trial endpoints. We reviewed the measures currently used as trial endpoints, identifying the clinical, cognitive, fluid and imaging measures that have previously been studied longitudinally, and discuss current diagnostic and emerging measures that are yet to be studied longitudinally but that may be sensitive to disease progression. We found that many fluid and imaging measures require further research to validate their use as longitudinal measures of change, including emerging measures that have not yet been studied specifically in PSP. We also summarize the sample size estimates required to detect changes in a two-arm, 52-week therapeutic trial and found that specific MRI volumes require the smallest sample sizes to detect change.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.