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IAPRD new consensus classification of myoclonus

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dc.contributor.author Latorre, Anna
dc.contributor.author van der Veen, S.
dc.contributor.author Pena, Ashley
dc.contributor.author Truong, Daniel
dc.contributor.author Erro, Roberto
dc.contributor.author Frucht, Steven
dc.contributor.author Ganos, Christos
dc.contributor.author Hallett, Mark
dc.contributor.author Perez-Duenas, Belen
dc.contributor.author Rossi, Malco Damián
dc.contributor.author Roze, Emmanuel
dc.contributor.author Vidailhet, Marie
dc.contributor.author Aj de Koning-Tijssen, Marina
dc.contributor.author Caviness, John N.
dc.date.accessioned 2025-04-16T17:02:31Z
dc.date.available 2025-04-16T17:02:31Z
dc.date.issued 2025-02-20
dc.identifier.citation Latorre A, van der Veen S, Pena A, Truong D, Erro R, Frucht S, et al. IAPRD new consensus classification of myoclonus. Parkinsonism Relat Disord. marzo de 2025;132:107216 es_ES
dc.identifier.uri https://doi.org/10.1016/j.parkreldis.2024.107216
dc.identifier.uri https://repositorio.fleni.org.ar/xmlui/handle/123456789/1349
dc.description.abstract Introduction: Recent new advances in myoclonus characterization and etiology justify an update of the 40-year-old respected classification of myoclonus proposed by Marsden, Hallett, and Fahn. New advances include genetic studies and clinical neurophysiology characterization. Methods: The IAPRD appointed an expert panel to develop a new myoclonus classification. The Delphi Method of consensus determination was employed using a panel of fifteen international experts in myoclonus. In an in-person meeting, an Axis approach, previously used for dystonia and tremor was ratified by the panel: Axis I included clinical and neurophysiology features, Axis II included etiology categories. As a unique part of our Axis approach, Clinical Neurophysiology was included as Axis Ib. The first Delphi survey round queried agreement on major headings in Axes Ia and Ib, myoclonus clinical syndromes, and Axis II. In the second round, the full expert panel was surveyed on constituents and specific characteristics of each feature that had consensus in the first round. Results: In the first round, the percentage of agreement for the fifty-three out of the 56 items was greater than 60.0 %, indicating strong consensus among expert panel members. In the second round, for Axis Ia, Axis Ib, and Axis II, strong agreement was also achieved. For both rounds, Physiological Myoclonus had the lowest agreement. Comments from the whole panel were incorporated into the consensus results. Conclusion: This Myoclonus Classification, which reached consensus using the Delphi Method, will facilitate a collaborative effort among myoclonus investigators to find better diagnostics and treatment for myoclonus patients. es_ES
dc.language.iso eng es_ES
dc.publisher Elsevier es_ES
dc.subject Delphi Technique es_ES
dc.subject Técnica Delphi es_ES
dc.subject Myoclonus es_ES
dc.subject Mioclonía es_ES
dc.title IAPRD new consensus classification of myoclonus es_ES
dc.type info:eu-repo/semantics/article es_ES
dc.description.fil Fil: Rossi, Malco Damián. Fleni. Departamento de Neurología. Servicio de Movimientos Anormales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
dc.relation.ispartofVOLUME 132
dc.relation.ispartofPAGINATION 107216
dc.relation.ispartofCOUNTRY Reino Unido
dc.relation.ispartofCITY Oxford
dc.relation.ispartofTITLE Parkinsonism & related disorders
dc.relation.ispartofISSN 1873-5126
dc.type.snrd info:ar-repo/semantics/artículo es_ES


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