Literature DB >> 21780180

Wearing-off scales in Parkinson's disease: critique and recommendations.

Angelo Antonini1, Pablo Martinez-Martin, Ray K Chaudhuri, Marcelo Merello, Robert Hauser, Regina Katzenschlager, Per Odin, Mark Stacy, Fabrizio Stocchi, Werner Poewe, Oliver Rascol, Cristina Sampaio, Anette Schrag, Glenn T Stebbins, Christopher G Goetz.   

Abstract

Wearing-off occurs in the majority of patients with Parkinson's disease after a few years of dopaminergic therapy. Because a variety of scales have been used to estimate wearing-off, the Movement Disorder Society commissioned a task force to assess their clinimetric properties. A systematic review was conducted to identify wearing-off scales that have either been validated or used in Parkinson's patients. A scale was designated "Recommended" if it had been used in clinical studies beyond the group that developed it, if it had been specifically used in Parkinson's disease reports, and if clinimetric studies had established that it is valid, reliable, and sensitive. "Suggested" scales met 2 of the above criteria, and those meeting 1 were "Listed." We identified 3 diagnostic and 4 severity rating scales for wearing-off quantification. Two questionnaires met the criteria to be Recommended for diagnostic screening (questionnaires for 19 and 9 items), and 1 was Suggested (questionnaire for 32 items). Only the patient diaries were Recommended to assess wearing-off severity, with the caveat of relatively limited knowledge of validity. Among the other severity assessment tools, the Unified Parkinson Disease Rating Scale version 3 and the version revised from the Movement Disorders Society were classified as Suggested, whereas the Treatment Response Scale was Listed.
Copyright © 2011 Movement Disorder Society.

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Year:  2011        PMID: 21780180     DOI: 10.1002/mds.23875

Source DB:  PubMed          Journal:  Mov Disord        ISSN: 0885-3185            Impact factor:   10.338


  28 in total

1.  Linguistic, psychometric validation and diagnostic ability assessment of an Italian version of a 19-item wearing-off questionnaire for wearing-off detection in Parkinson's disease.

Authors:  Giovanni Abbruzzese; Angelo Antonini; Paolo Barone; Fabrizio Stocchi; Tiziano Tamburini; Laura Bernardi; Marianna Amboni; Laura Vacca; Valeria Posocco; Delia Colombo
Journal:  Neurol Sci       Date:  2012-02-04       Impact factor: 3.307

2.  Health-related quality of life in Parkinson's: impact of 'off' time and stated treatment preferences.

Authors:  Cicely Kerr; Emily J Lloyd; Charlotte E Kosmas; Helen T Smith; James A Cooper; Karissa Johnston; Emma McIntosh; Andrew J Lloyd
Journal:  Qual Life Res       Date:  2015-12-01       Impact factor: 4.147

3.  Conceptualizing and prioritizing clinical trial outcomes from the perspectives of people with Parkinson's disease versus health care professionals: a concept mapping study.

Authors:  Catharina Sjödahl Hammarlund; Maria H Nilsson; Markus Idvall; Scott R Rosas; Peter Hagell
Journal:  Qual Life Res       Date:  2014-01-04       Impact factor: 4.147

4.  The Parkinson's disease e-diary: Developing a clinical and research tool for the digital age.

Authors:  Joaquin A Vizcarra; Álvaro Sánchez-Ferro; Walter Maetzler; Luca Marsili; Lucia Zavala; Anthony E Lang; Pablo Martinez-Martin; Tiago A Mestre; Ralf Reilmann; Jeffrey M Hausdorff; E Ray Dorsey; Serene S Paul; Judith W Dexheimer; Benjamin D Wissel; Rebecca L M Fuller; Paolo Bonato; Ai Huey Tan; Bastiaan R Bloem; Catherine Kopil; Margaret Daeschler; Lauren Bataille; Galit Kleiner; Jesse M Cedarbaum; Jochen Klucken; Aristide Merola; Christopher G Goetz; Glenn T Stebbins; Alberto J Espay
Journal:  Mov Disord       Date:  2019-03-22       Impact factor: 10.338

5.  Assessment of Wearing Off in Parkinson's disease using objective measurement.

Authors:  Parisa Farzanehfar; Holly Woodrow; Malcolm Horne
Journal:  J Neurol       Date:  2020-09-15       Impact factor: 4.849

6.  Association Between Catechol-O-Methyltransferase (COMT) Gene Polymorphisms, Parkinson's Disease, and Levodopa Efficacy.

Authors:  Bowen Yin; Yongqian Chen; Limei Zhang
Journal:  Mol Diagn Ther       Date:  2013-11-15       Impact factor: 4.074

7.  Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity: The Mobile Parkinson Disease Score.

Authors:  Andong Zhan; Srihari Mohan; Christopher Tarolli; Ruth B Schneider; Jamie L Adams; Saloni Sharma; Molly J Elson; Kelsey L Spear; Alistair M Glidden; Max A Little; Andreas Terzis; E Ray Dorsey; Suchi Saria
Journal:  JAMA Neurol       Date:  2018-07-01       Impact factor: 18.302

Review 8.  Measurement Instruments to Assess Functional Mobility in Parkinson's Disease: A Systematic Review.

Authors:  Raquel Bouça-Machado; Gonçalo S Duarte; Maria Patriarca; Ana Castro Caldas; Joana Alarcão; Ricardo M Fernandes; Tiago A Mestre; Ricardo Matias; Joaquim J Ferreira
Journal:  Mov Disord Clin Pract       Date:  2019-12-11

9.  The Most Bothersome Aspects of Off Periods Reported by Individuals with Parkinson's Disease.

Authors:  Lana M Chahine; Briana Edison; Margaret Daeschler; Sneha Mantri; Steven Kahl; Robyn Rapoport; Arina Goyle; Chelle Precht; Catherine Kopil; Connie Marras
Journal:  Mov Disord Clin Pract       Date:  2020-03-05

Review 10.  Understanding, Impact, and Communication of "Off" Periods in Parkinson's Disease: A Scoping Review.

Authors:  Tara Rastgardani; Melissa J Armstrong; Anna R Gagliardi; Connie Marras
Journal:  Mov Disord Clin Pract       Date:  2018-10-09
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