ArticleJournal of neurology2025
Retinal microvascular differences between multiple sclerosis and neuromyelitis optica spectrum disorder: a cross-sectional study with diagnostic modeling.
Article in Journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Cerebrovascular risk factors impact on brain atrophy and DTI-ALPS decrease in neuromyelitis optica spectrum disorder.Journal of neurology · 2026Article
- Longitudinal retinal microvascular changes and their association with white matter hyperintensities in neuromyelitis optica spectrum disorder.Frontiers in neurologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
BACKGROUND AND
objectivesRetinal alterations in multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD) remain unclear, especially the specific patterns and extent of microvascular change. This study aimed to compare these alterations and to develop logistic regression and machine learning models using combined retinal microvascular and structural metrics for disease differentiation.
methodsPatients with MS or NMOSD in clinically stable phases underwent swept-source optical coherence tomography (OCT) and OCT angiography (OCTA). Quantified OCTA metrics included density, perfusion, and microdensity of superficial and deep vascular complex (SVC, DVC), choroidal vascular, and stromal volumes (CVV, CSV). Structural OCT metrics included retinal nerve fiber layer (RNFL) and ganglion cell-inner plexiform layer (GCIPL) thickness. Logistic regression and machine learning models were developed for classification.
resultsThe study enrolled 658 participants (167 MS patients, 221 NMOSD patients, and 270 age- and sex-matched healthy controls) with 1277 eyes. In optic neuritis (ON) eyes, NMOSD showed significantly lower SVC metrics than MS, whereas in non-ON eyes, MS exhibited more severe microvascular loss (most p < 0.017); correspondingly, EDSS-related SVC decline was steeper in ON eyes of NMOSD but steeper in non-ON eyes of MS (interaction p < 0.05 for most comparisons). The logistic regression model with microvascular metrics achieved an AUC of 0.900. Among machine learning classifiers, support vector machine performed best (AUC 0.912, accuracy 84.5%). DISCUSSION: Distinct retinal microvascular patterns differentiate NMOSD from MS and correlate with disability severity, especially considering ON history. OCTA-based models provide accurate, non-invasive differential diagnosis tools, highlighting microvascular integrity as a critical biomarker.
Indexed as
Identifiers
41099832What Socratic 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 Socratic graph.