Exploring Interrater Disagreement on Essential Tremor Using a Standardized Tremor Elements Assessment.

dystonic tremor essential tremor tremor tremor classification

Journal

Movement disorders clinical practice
ISSN: 2330-1619
Titre abrégé: Mov Disord Clin Pract
Pays: United States
ID NLM: 101630279

Informations de publication

Date de publication:
Apr 2021
Historique:
received: 07 10 2020
revised: 18 12 2020
accepted: 19 12 2020
entrez: 5 4 2021
pubmed: 6 4 2021
medline: 6 4 2021
Statut: epublish

Résumé

Patients with upper limb action tremor frequently exhibit additional neurological signs of uncertain significance. Clinicians vary in their interpretation, and interrater agreement on the final diagnosis is poor. A new clinical tool for assessing the presence or absence of clinical signs that are important in axis-1 classification of tremor patients is introduced: the Standardized Tremor Elements Assessment (STEA). Interrater agreement is determined, and signs leading to disagreement in the final diagnosis are identified. Three tremor-focussed and one dystonia-focussed movement disorder specialists rated 59 videos of patients with upper limb action tremor syndromes using STEA. Interrater agreements for final diagnosis and STEA items were calculated. Interrater agreement regarding the final diagnosis was higher within the group of tremor specialists and poor between dystonia and tremor specialists. Greater agreement was found for items characterizing tremor than for signs of dystonia. Clinical signs leading to diagnostic disagreement were identified with STEA, and STEA should therefore be useful in future studies of diagnostic disagreement. The thresholds for considering neurological signs as soft versus significant for ataxia, parkinsonism, dystonia, etc. are critically important in tremor classification and must be studied across movement disorder subspecialties, not simply within a pool of tremor specialists.

Sections du résumé

BACKGROUND BACKGROUND
Patients with upper limb action tremor frequently exhibit additional neurological signs of uncertain significance. Clinicians vary in their interpretation, and interrater agreement on the final diagnosis is poor.
OBJECTIVES OBJECTIVE
A new clinical tool for assessing the presence or absence of clinical signs that are important in axis-1 classification of tremor patients is introduced: the Standardized Tremor Elements Assessment (STEA). Interrater agreement is determined, and signs leading to disagreement in the final diagnosis are identified.
METHODS METHODS
Three tremor-focussed and one dystonia-focussed movement disorder specialists rated 59 videos of patients with upper limb action tremor syndromes using STEA. Interrater agreements for final diagnosis and STEA items were calculated.
RESULTS RESULTS
Interrater agreement regarding the final diagnosis was higher within the group of tremor specialists and poor between dystonia and tremor specialists. Greater agreement was found for items characterizing tremor than for signs of dystonia.
CONCLUSIONS CONCLUSIONS
Clinical signs leading to diagnostic disagreement were identified with STEA, and STEA should therefore be useful in future studies of diagnostic disagreement. The thresholds for considering neurological signs as soft versus significant for ataxia, parkinsonism, dystonia, etc. are critically important in tremor classification and must be studied across movement disorder subspecialties, not simply within a pool of tremor specialists.

Identifiants

pubmed: 33816665
doi: 10.1002/mdc3.13150
pii: MDC313150
pmc: PMC8015892
doi:

Types de publication

Journal Article

Langues

eng

Pagination

371-376

Informations de copyright

© 2021 The Authors. Movement Disorders Clinical Practice published by Wiley Periodicals LLC. on behalf of International Parkinson and Movement Disorder Society.

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Auteurs

Jos Becktepe (J)

Department of Neurology University Hospital Schleswig-Holstein, Christian-Albrechts-University Kiel Germany.

Felix Gövert (F)

Department of Neurology University Hospital Schleswig-Holstein, Christian-Albrechts-University Kiel Germany.

Bettina Balint (B)

Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology University College London London UK.
Department of Neurology University Hospital Heidelberg Heidelberg Germany.

Christian Schlenstedt (C)

Department of Neurology University Hospital Schleswig-Holstein, Christian-Albrechts-University Kiel Germany.

Kailash Bhatia (K)

Department of Clinical and Movement Neurosciences, Queen Square Institute of Neurology University College London London UK.

Rodger Elble (R)

Department of Neurology Southern Illinois University School of Medicine Springfield Illinois USA.

Günther Deuschl (G)

Department of Neurology University Hospital Schleswig-Holstein, Christian-Albrechts-University Kiel Germany.

Classifications MeSH