ArticleNPJ Parkinson's disease2022
A meta-analysis of the diagnostic utility of biomarkers in cerebrospinal fluid in Parkinson's disease.
Article in NPJ Parkinson's disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 papers, 2 of them syntheses that pooled it.
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
22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.
- Cerebrospinal fluid biomarkers for diagnosis of Parkinson's disease: a systematic review and network meta-analysis.Journal of neurology · 2025Pooled it
- Cerebrospinal fluid and blood neurofilament light chain in Parkinson's disease and atypical parkinsonian syndromes: a systematic review and Bayesian network meta-analysis.Journal of neurology · 2025Pooled it
- Acoustofluidic enrichment of small extracellular vesicles: physical principles, microfluidic implementations, and prospects for Parkinson's disease liquid biopsy.Mikrochimica acta · 2026Review
- Biomarker advancements in cerebral small vessel disease: An overview.Neural regeneration research · 2026Article
- From phenotype to biology: a multi-modal roadmap of biofluid, tissue, imaging, and digital biomarkers in Parkinson's disease.Translational neurodegeneration · 2026Review
- Age-dependent peripheral dissemination of α-synuclein seeds: mechanistic basis for blood-based early detection of Parkinson's disease.Acta neuropathologica communications · 2026Article
- Combining plasma biomarkers, clinical parameters, and neuroimaging features for differential diagnosis of Parkinson's disease and atypical parkinsonian syndromes: a multidimensional modeling approach.Frontiers in aging neuroscience · 2026Article
- Parkinson's Disease: The Epidemiology, Risk Factors, Molecular Pathogenesis, Prevention, and Therapy.MedComm · 2025Review
- Differentiating Progressive Supranuclear Palsy and Corticobasal Syndrome: Insights from Cerebrospinal Fluid Biomarkers-A Narrative Review.Medicina (Kaunas, Lithuania) · 2025Review
- Development of Neurodegenerative Disease Diagnosis and Monitoring from Traditional to Digital Biomarkers.Biosensors · 2025Review
- Article
- A lightweight cerebrospinal fluid biomarker-based model for first-diagnosis prediction of Parkinson's disease: model development, external validation, and local deployment.Frontiers in aging neuroscience · 2025Article
- Differences in Blood and Cerebrospinal Fluid Between Parkinson's Disease and Related Diseases.Cellular and molecular neurobiology · 2024Review
- Cerebrospinal fluid tau and disease progression in early Parkinson's disease: an 8-year longitudinal study.Journal of neurology · 2024Article
- Biological Function Analysis of MicroRNAs and Proteins in the Cerebrospinal Fluid of Patients with Parkinson's Disease.International journal of molecular sciences · 2024Review
- Serum Tau Species in Progressive Supranuclear Palsy: A Pilot Study.Diagnostics (Basel, Switzerland) · 2024Article
- Neuronal threshold functions: Determining symptom onset in neurological disorders.Progress in neurobiology · 2024Review
- Integrative Metabolome and Proteome Analysis of Cerebrospinal Fluid in Parkinson's Disease.International journal of molecular sciences · 2024Review
- Cerebrospinal Fluid Total, Phosphorylated and Oligomeric A-Synuclein in Parkinson's Disease: A Systematic Review, Meta-Analysis and Meta-Regression Study.Biomedicines · 2024Review
- Perspective Strategies for Interventions in Parkinsonism: Remedying the Neglected Role of TPPP.Cells · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biomarkers play important roles in the diagnosis and differential diagnosis of Parkinson's disease (PD). Thus, we carried out a systematic review and meta-analysis evaluating the diagnostic utility of cerebrospinal fluid (CSF) biomarkers to distinguish PD from atypical parkinsonian syndromes (APSs) and controls. Data for PD and APS and controls were extracted from 123 studies that reported the concentration of CSF biomarkers. Comparisons were presented using pooled Hedges' g. Sources of heterogeneity were evaluated using meta-regression, and subgroup and sensitivity analyses. We found that compared with controls, PD patients had lower levels of amyloid beta 1-42, phosphorylated tau, total tau, total α-synuclein, Zn, DJ-1, and YKL-40, and higher levels of oligomeric and phosphorylated α-synuclein. Moreover, lower CSF levels of neurofilament light chain, t-tau, YKL-40, and C-reactive protein were found in PD patients compared to those with multiple system atrophy. PD patients also had lower levels of NFL and higher levels of Aβ42 compared with patients with progressive supranuclear palsy. Reduced levels of p-tau and t-tau and higher Aβ42 levels were found in PD patients compared with patients with dementia with Lewy bodies. Finally, reduced NFL levels were found in patients with PD compared with patients with cortical basal degeneration. Therefore, we believe that the combinations of t-α-syn, Aβ42, and NFL could be promising biomarkers for the differential diagnosis of PD and APSs.
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.