ReviewParkinson's disease2026
Towards a Biologically Defined Diagnosis: Incorporating Pathophysiological Measures Into Parkinson's Disease Clinical Criteria.
Review in Parkinson's disease, 2026. 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
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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.
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Who cites it
3 citing papers in PubMed.
- Machine learning-based radiomics modeling of combined subcortical nuclei from quantitative susceptibility mapping for Parkinson's disease diagnosis.Frontiers in aging neuroscience · 2026Article
- Towards a Biologically Defined Diagnosis: Incorporating Pathophysiological Measures Into Parkinson's Disease Clinical Criteria.Parkinson's disease · 2026Review
- Layered classification in Parkinson's disease: a content analysis of clinical, prodromal, and biological criteria evolution.Frontiers in aging neuroscience · 2026Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Parkinson's disease is the second most common neurodegenerative disorder worldwide, as well as being the fastest-growing neurological disorder. Furthermore, PD corresponds to a significant burden on those diagnosed, their caregivers and healthcare systems, highlighting the critical need for early and accurate diagnosis. Effective diagnosis is essential not only for timely intervention but also for the development of disease-modifying treatments, which are currently unavailable for PD management. Historically, PD diagnosis and characterisation was heavily reliant on clinical presentation, which are only present after significant neurodegeneration has already occurred. Because of this, there is a consensus amongst the scientific community to transition away from clinical features and instead redefine PD diagnosis and staging based on biological presentation. This review discusses historical developments in clinical diagnostic criteria for PD as well as the role the recently developed frameworks such as SynNeurGe and the Neuronal alpha-Synuclein Disease-Integrated Staging System (NSD-ISS) will play in the further advancements of diagnostic practices. Furthermore, substantial research efforts into the pathobiology of PD have led to the development of novel in vivo assessments capable of detecting critical biomarkers of PD. Specialised imaging modalities, particularly nuclear imaging and magnetic resonance imaging, and biomarkers of α-synuclein pathology demonstrate high sensitivity and specificity for not only early diagnosis but also differential diagnosis between other parkinsonisms. Beyond diagnostic reforms, it is also important to identify markers that could serve as indicators of clinical course to aid in tailoring personalised treatment strategies. Therefore, this review also summarises key pathobiological hallmarks of PD beyond α-synuclein pathology, namely, dopaminergic denervation, copathologies and underlying indicators of neurodegeneration, such as iron deposition and neuroinflammation. Furthermore, strategies to assess such pathologies and their potential utility in the current paradigm shift towards biological characterisation are discussed.
Identifiers
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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.