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Trends in Management of Ménière Disease: A TriNetX Network Database Analysis

Authors: Tyler J. Gallagher; Meredith E. Adams; Janet S. Choi;

Trends in Management of Ménière Disease: A TriNetX Network Database Analysis

Abstract

AbstractThis study investigated management practices for Meniere's disease (MD) and their temporal trends from 2008 to 2022 within the TriNetX network database. Study cohort included adult patients (≥18 years) with the diagnosis of MD from TriNetX's multi‐institutional medical records (n = 77,493). MD diagnosis and management were queried based on the international classification of diseases, tenth revision, current procedural terminology, and RXNorm codes. Temporal trends were analyzed using joinpoint regression. There was significant increase in rates of relevant medications prescribed within 12 months of MD diagnosis from 2008 to 2022 (annual percent change [APC]: 1.2 [95% confidence interval, CI: 0.4–1.9]). There were no significant changes in rate of intratympanic injection within 12 months of MD diagnosis (1.7 [95% CI: −1.1 to 4.5]). Rate of endolymphatic sac surgery and labyrinthectomy any time after MD diagnosis gradually decreased from 2008 to 2022 at APC of −8.1 (95% CI: −11.8 to −4.2) and −11.0 (95% CI: −14.0 to −7.7), respectively. Use of relevant medications has significantly increased during the early management of MD and the overall use of surgical treatments has decreased.

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Keywords

treatment, RD1-811, intratympanic injection, labyrinthectomy, ménière disease, endolymphatic sac surgery, Otorhinolaryngology, RF1-547, Surgery, Scientific Briefing, guidelines

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
Green
gold