ArticleFrontiers in neuroscience2021
Development and Validation of a Plasma FAM19A5 and MRI-Based Radiomics Model for Prediction of Parkinson's Disease and Parkinson's Disease With Depression.
Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- The differential diagnosis value of radiomics-based machine learning in Parkinson's disease: a systematic review and meta-analysis.Frontiers in aging neuroscience · 2023Pooled it
- Peripheral and CSF protein quantification in Parkinson's disease and multiple system atrophy-the nucleic acid-linked immuno-sandwich assay.Brain communications · 2026Article
- Radiomics models identifying dementia in patients with normal age-related hippocampal atrophy: a study based on machine learning.BMC geriatrics · 2025Article
- Identification of Depression Subtypes in Parkinson's Disease Patients via Structural MRI Whole-Brain Radiomics: An Unsupervised Machine Learning Study.CNS neuroscience & therapeutics · 2025Article
- Differentiating idiopathic Parkinson's disease from multiple system atrophy-P using brain MRI-based radiomics: a multicenter study.Therapeutic advances in neurological disorders · 2025Article
- Machine learning study on predicting depressive symptoms and genetic correlations in Parkinson's disease.Frontiers in aging neuroscience · 2025Article
- Automatic substantia nigra segmentation with Swin-Unet in susceptibility- and T2-weighted imaging: application to Parkinson disease diagnosis.Quantitative imaging in medicine and surgery · 2024Article
- Can Adipokine FAM19A5 Be a Biomarker of Metabolic Disorders?Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Review
- Amygdala's T1-weighted image radiomics outperforms volume for differentiation of anxiety disorder and its subtype.Frontiers in psychiatry · 2023Article
- Increased level of FAM19A5 is associated with cerebral small vessel disease and leads to a better outcome.PeerJ · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.