ReviewNeuroSci2025
Toward Biology-Driven Diagnosis of Atypical Parkinsonian Disorders.
Review in NeuroSci, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Review
- Parkinson's Disease: From Gene-Environment Risk to Precision Therapy.Medical sciences (Basel, Switzerland) · 2026Review
- Inflammatory and Neurotrophic Factors and Their Connection to Quality of Life in Progressive Supranuclear Palsy-Single-Center Study.International journal of molecular sciences · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Atypical parkinsonian disorders-progressive supranuclear palsy (PSP), corticobasal degeneration (CBD), and multiple system atrophy (MSA)-are rare, rapidly progressive neurodegenerative syndromes characterized by distinct molecular pathologies, heterogeneous clinical phenotypes, and limited therapeutic options. Accurate diagnosis remains a major clinical challenge, especially during early and prodromal phases, due to overlap with Parkinson's disease (PD), phenotypic evolution, and the absence of reliable stand-alone biomarkers. Misclassification delays prognosis, impairs patient care, and hinders clinical trial design. This review synthesizes advances from 2015 to 2025 in clinical, imaging, and biomarker-based diagnosis of PSP, CBD, and MSA. We examine their phenotypic spectra, neuropathological substrates, and epidemiological trends, and critically evaluate the diagnostic performance and translational potential of emerging tools-including quantitative MRI morphometry, second-generation tau and α-synuclein PET ligands, neurophysiological markers such as video-oculography and autonomic testing, and fluid biomarkers such as neurofilament light chain. Persistent diagnostic barriers are identified, from phenotypic mimicry and pathological pleomorphism to the limited specificity of molecular assays and inequitable access to advanced technologies. We propose tiered, multimodal diagnostic algorithms that integrate structured clinical phenotyping with quantitative imaging, molecular diagnostics, systemic risk profiling, and autopsy-linked validation. Such biology-anchored approaches could enable diagnosis years before classical features emerge, improve patient stratification for disease-modifying trials, and lay the foundation for precision medicine in atypical parkinsonian disorders. A paradigm shift from descriptive nosology to mechanistically grounded frameworks is essential to accelerate early intervention and transform the clinical management of these devastating diseases.
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.