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Shuu Jiun Wang

Researcher at Taipei Veterans General Hospital

Publications -  544
Citations -  30138

Shuu Jiun Wang is an academic researcher from Taipei Veterans General Hospital. The author has contributed to research in topics: Migraine & Population. The author has an hindex of 71, co-authored 502 publications receiving 24800 citations. Previous affiliations of Shuu Jiun Wang include National Yang-Ming University & Taipei Medical University.

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Reply to ‘Migraine, sudden sensorineural hearing loss and autoimmune ear disease’

TL;DR: The incidence rate of MD in this study, 168 per 100,000 was reasonable since this incidence was estimated from a migraine cohort with female predominance, and the consideration of vestibular migraine (VM).
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Transient visual disturbances are associated with disability and suicide risk in patients with migraine without aura

TL;DR: In this article , the authors investigated the characteristics and clinical correlates of transient visual disturbances (TVDs) in patients with migraine without aura (MO) patients frequently report TVDs, which differ from typical visual aura, but the clinical significance of these TVDs has not been determined.

Prevalence of Migraine in Middle to Old-Aged Residents in Kinmen

TL;DR: The study on middle-to old-aged subjects found migraine as a significant illness in women but not in men, and the prevalence showed no marked change during these transitional years toward old age.
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Reversion from chronic migraine to episodic migraine: A new outcome measure:

TL;DR: This proof-of-concept study demonstrated both the short-term and long-term efficacy of erenumab on “reversion of CM to EM” in patients with CM, and the suggested primary and secondary outcome measures are similar for the clinical trials.
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Identification of patients with chronic migraine by using sensory-evoked oscillations from the electroencephalogram classifier

TL;DR: In this paper , the authors examined whether the modulating evoked cortical oscillations could be brain signatures among patients with chronic migraine, and investigated cortical modulation using an electroencephalogram with machine learning techniques.