ArticleScientific reports2020
Corneal confocal microscopy detects small fibre neurodegeneration in Parkinson's disease using automated analysis.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- CornealFrontiers in medicine · 2022Pooled it
- Corneal nerve imaging in systemic neuropathy: A minireview of experimental and precision medicine applications.World journal of experimental medicine · 2026Review
- In vivo corneal microscopy: from image to insight - where are we going?Zeitschrift fur medizinische Physik · 2026Review
- Cornea Nerves Can Identify Different Types of Parkinson's Disease.Investigative ophthalmology & visual science · 2025Article
- Corneal confocal microscopy may help to distinguish Multiple System Atrophy from Parkinson's disease.NPJ Parkinson's disease · 2024Article
- Narrative Review Concerning the Clinical Spectrum of Ophthalmological Impairments in Parkinson's Disease.Neurology international · 2023Review
- Chaudhuri's Dashboard of Vitals in Parkinson's syndrome: an unmet need underpinned by real life clinical tests.Frontiers in neurology · 2023Review
- Update on Corneal Confocal Microscopy Imaging.Diagnostics (Basel, Switzerland) · 2022Review
- Ocular Surface Features in Patients with Parkinson Disease on and off Treatment: A Narrative Review.Life (Basel, Switzerland) · 2022Review
- Corneal confocal microscopy for the assessment of diabetic neuropathy and beyond in Brazil.Arquivos de neuro-psiquiatria · 2022Article
- Trigeminal Nerve Affection in Patients with Neuro-Sjögren Detected by Corneal Confocal Microscopy.Journal of clinical medicine · 2022Article
- Corneal Confocal Microscopy and the Nervous System: Introduction to the Special Issue.Journal of clinical medicine · 2022Article
- Loss of corneal nerves and brain volume in mild cognitive impairment and dementia.Alzheimer's & dementia (New York, N. Y.) · 2022Article
- Corneal nerve loss as a surrogate marker for poor pial collaterals in patients with acute ischemic stroke.Scientific reports · 2021Article
- Corneal nerve fiber loss relates to cognitive impairment in patients with Parkinson's disease.NPJ Parkinson's disease · 2021Article
- Corneal Confocal Microscopy to Image Small Nerve Fiber Degeneration: Ophthalmology Meets Neurology.Frontiers in pain research (Lausanne, Switzerland) · 2021Review
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
We studied the utility of corneal confocal microscopy (CCM) in detecting a reduction in corneal nerve parameters in a large cohort of patients with Parkinson's disease (PD) compared to controls using a fully automated potentially scalable method of analysis. We also assessed if CCM parameters are related to the severity and sub-type of PD. 98 participants with PD and 26 healthy controls underwent CCM with automated corneal nerve quantification, MDS-UPDRS III, Hoehn and Yahr scale, Montreal Cognitive Assessment, Parkinson's Disease Questionnaire-39 and PD subtype assessment. Corneal nerve fibre density (mean difference: - 5.00 no/mm
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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.