ArticleJournal of clinical medicine2022
Development and Validation of the Predictive Model for the Differentiation between Vestibular Migraine and Meniere's Disease.
Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Patient-Level Modeling of Ménière's Disease vs. Vestibular Migraine: Performance of Speech Discrimination and Caloric-vHIT Dissociation.Journal of clinical medicine · 2026Article
- Imaging endolymphatic space of the inner ear in vestibular migraine.Journal of neurology, neurosurgery, and psychiatry · 2025Article
- Development and validation of a diagnostic model for migraine without aura in inpatients.Frontiers in neurology · 2025Article
- The role of selective serotonin reuptake inhibitors and tricyclic antidepressants in addressing reduction of Meniere's disease burden: A scoping review.World journal of otorhinolaryngology - head and neck surgery · 2024Article
- Mendelian randomization analysis does not reveal a causal association between migraine and Meniere's disease.Frontiers in neurology · 2024Article
- Diagnostic Value of the Vestibular Autorotation Test in Menière's Disease, Vestibular Migraine and Menière's Disease with Migraine.Brain sciences · 2022Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
(1) Background: Vestibular migraine (VM) and Meniere's disease (MD) share multiple features in terms of clinical presentations and auditory-vestibular dysfunctions, e.g., vertigo, hearing loss, and headache. Therefore, differentiation between VM and MD is of great significance. (2) Methods: We retrospectively analyzed the medical records of 110 patients with VM and 110 patients with MD. We at first established a regression equation by using logistic regression analysis. Furthermore, sensitivity, specificity, accuracy, positive predicted value (PV), and negative PV of screened parameters were assessed and intuitively displayed by receiver operating characteristic curve (ROC curve). Then, two visualization tools, i.e., nomograph and applet, were established for convenience of clinicians. Furthermore, other patients with VM or MD were recruited to validate the power of the equation by ROC curve and the Gruppo Italiano per la Valutazione degli Interventi in Terapia Intensiva (GiViTI) calibration belt. (3) Results: The clinical manifestations and auditory-vestibular functions could help differentiate VM from MD, including attack frequency (X5), phonophobia (X13), electrocochleogram (ECochG) (X18), head-shaking test (HST) (X23), ocular vestibular evoked myogenic potential (o-VEMP) (X27), and horizontal gain of vestibular autorotation test (VAT) (X30). On the basis of statistically significant parameters screened by Chi-square test and multivariable double logistic regression analysis, we established a regression equation: P = 1/[1 + e
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