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New methods for the assessment of Parkinson's disease (2005 to 2015): A systematic review.
Sánchez-Ferro, Álvaro; Elshehabi, Morad; Godinho, Catarina; Salkovic, Dina; Hobert, Markus A; Domingos, Josefa; van Uem, Janet Mt; Ferreira, Joaquim J; Maetzler, Walter.
Afiliación
  • Sánchez-Ferro Á; HM CINAC, Hospital Universitario HM Puerta del Sur, Móstoles, Madrid, Spain. asferro@mit.edu.
  • Elshehabi M; Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA. asferro@mit.edu.
  • Godinho C; Center for Neurology and Hertie Institute for Clinical Brain Research (HIH), Department of Neurodegeneration, University of Tübingen, Tübingen, Germany.
  • Salkovic D; DZNE, German Center for Neurodegenerative Diseases, Tübingen, Germany.
  • Hobert MA; Clinical Pharmacology Unit, Instituto de Medicina Molecular, Lisbon, Portugal.
  • Domingos J; Center of Interdisciplinary Research Egas Moniz (CiiEM), Instituto Superior de Ciências da Saúde Egas Moniz, Monte de Caparica, Portugal.
  • van Uem JM; CNS-Campus Neurológico Sénior, Torres Vedras, Portugal.
  • Ferreira JJ; Center for Neurology and Hertie Institute for Clinical Brain Research (HIH), Department of Neurodegeneration, University of Tübingen, Tübingen, Germany.
  • Maetzler W; DZNE, German Center for Neurodegenerative Diseases, Tübingen, Germany.
Mov Disord ; 31(9): 1283-92, 2016 09.
Article en En | MEDLINE | ID: mdl-27430969
BACKGROUND: The past decade has witnessed a highly dynamic and growing expansion of novel methods aimed at improving the assessment of Parkinson's disease with technology (NAM-PD) in laboratory, clinical, and home environments. However, the current state of NAM-PD regarding their maturity, feasibility, and usefulness in assessing the main PD features has not been systematically evaluated. METHODS: A systematic review of articles published in the field from 2005 to 2015 was performed. Of 9,503 publications identified in PubMed and the Web of Science, 848 full papers were evaluated, and 588 original articles were assessed to evaluate the technological, demographic, clinimetric, and technology transfer readiness parameters of NAM-PD. RESULTS: Of the studies, 65% included fewer than 30 patients, < 50% employed a standard methodology to validate diagnostic tests, 8% confirmed their results in a different dataset, and 87% occurred in a clinic or lab. The axial features domain was the most frequently studied, followed by bradykinesia. Rigidity and nonmotor domains were rarely investigated. Only 6% of the systems reached a technology level that justified the hope of being included in clinical assessments in a useful time period. CONCLUSIONS: This systematic evaluation provides an overview of the current options for quantitative assessment of PD and what can be expected in the near future. There is a particular need for standardized and collaborative studies to confirm the results of preliminary initiatives, assess domains that are currently underinvestigated, and better validate the existing and upcoming NAM-PD. © 2016 International Parkinson and Movement Disorder Society.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de Parkinson / Técnicas y Procedimientos Diagnósticos / Tecnología Biomédica Tipo de estudio: Diagnostic_studies / Health_technology_assessment / Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Mov Disord Asunto de la revista: NEUROLOGIA Año: 2016 Tipo del documento: Article País de afiliación: España Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de Parkinson / Técnicas y Procedimientos Diagnósticos / Tecnología Biomédica Tipo de estudio: Diagnostic_studies / Health_technology_assessment / Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Revista: Mov Disord Asunto de la revista: NEUROLOGIA Año: 2016 Tipo del documento: Article País de afiliación: España Pais de publicación: Estados Unidos