Advances in diagnosis, classification, and management of pain in Parkinson’s disease

Autores
Tinazzi, Michele; Gandolfi, Marialuisa; Artusi, Carlo Alberto; Bannister, Kirsty; Rukavina, Katarina; Brefel-Courbon, Christine; Ciampi de Andrade, Daniel; Pérez Lloret, Santiago; Mylius, Veit
Año de publicación
2025
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fil: Tinazzi, Michele. Universidad de Verona; Italia
Fil: Gandolfi, Marialuisa. Universidad de Verona; Italia
Fil: Artusi, Carlo Alberto. Universidad de Turín; Italia
Fil: Bannister, Kirsty. Universidad Imperial de Londres; Inglaterra
Fil: Rukavina, Katarina. Movement Disorders Hospital Beelitz; Alemania
Fil: Rukavina, Katarina. Academia Europea de Neurología; Austria
Fil: Brefel-Courbon, Christine. University Hospital of Toulouse; Francia
Fil: Ciampi de Andrade, Daniel. Universidad de Aalborg; Dinamarca
Fil: Pérez Lloret, Santiago. Universidad de Buenos Aires; Argentina
Fil: Pérez Lloret, Santiago. Pontificia Universidad Católica Argentina. Facultad de Ciencias Médicas; Argentina
Fil: Pérez Lloret, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Mylius, Veit. Center for Neurorehabilitation; Suiza
Fil: Mylius, Veit. Universidad de Marburgo; Alemania
With over 10 million people affected worldwide, Parkinson’s disease is the fastest-growing neurological disorder. More than two-thirds of people with Parkinson’s disease live with chronic pain, which can manifest in various stages of the disease, substantially affecting daily activities and quality of life. The Parkinson’s disease Pain Classification System overcomes the limitations of previous classification systems by distinguishing between pain related to Parkinson’s disease and unrelated pain, while also incorporating clinical and pathophysiological (mechanistic) descriptors such as nociceptive, neuropathic, and nociplastic pain. This system provides a framework for accurate diagnosis and mechanism-based therapy. Alongside the appropriate classification of pain, consideration of treatment approaches that include non-invasive (pharmacological and non-pharmacological) and invasive strategies tailored to specific types of pain will refine and inform research trials and clinical practice when it comes to treating pain in Parkinson’s disease.
Fuente
The Lancet Neurology. 24, 2025.
Materia
ENFERMEDAD DE PARKINSON
DIAGNOSTICO
CLASIFICACION
MANEJO DEL DOLOR
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
Repositorio Institucional (UCA)
Institución
Pontificia Universidad Católica Argentina
OAI Identificador
oai:ucacris:123456789/19929

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oai_identifier_str oai:ucacris:123456789/19929
network_acronym_str RIUCA
repository_id_str 2585
network_name_str Repositorio Institucional (UCA)
spelling Advances in diagnosis, classification, and management of pain in Parkinson’s diseaseTinazzi, MicheleGandolfi, MarialuisaArtusi, Carlo AlbertoBannister, KirstyRukavina, KatarinaBrefel-Courbon, ChristineCiampi de Andrade, DanielPérez Lloret, SantiagoMylius, VeitENFERMEDAD DE PARKINSONDIAGNOSTICOCLASIFICACIONMANEJO DEL DOLORFil: Tinazzi, Michele. Universidad de Verona; ItaliaFil: Gandolfi, Marialuisa. Universidad de Verona; ItaliaFil: Artusi, Carlo Alberto. Universidad de Turín; ItaliaFil: Bannister, Kirsty. Universidad Imperial de Londres; InglaterraFil: Rukavina, Katarina. Movement Disorders Hospital Beelitz; AlemaniaFil: Rukavina, Katarina. Academia Europea de Neurología; AustriaFil: Brefel-Courbon, Christine. University Hospital of Toulouse; FranciaFil: Ciampi de Andrade, Daniel. Universidad de Aalborg; DinamarcaFil: Pérez Lloret, Santiago. Universidad de Buenos Aires; ArgentinaFil: Pérez Lloret, Santiago. Pontificia Universidad Católica Argentina. Facultad de Ciencias Médicas; ArgentinaFil: Pérez Lloret, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Mylius, Veit. Center for Neurorehabilitation; SuizaFil: Mylius, Veit. Universidad de Marburgo; AlemaniaWith over 10 million people affected worldwide, Parkinson’s disease is the fastest-growing neurological disorder. More than two-thirds of people with Parkinson’s disease live with chronic pain, which can manifest in various stages of the disease, substantially affecting daily activities and quality of life. The Parkinson’s disease Pain Classification System overcomes the limitations of previous classification systems by distinguishing between pain related to Parkinson’s disease and unrelated pain, while also incorporating clinical and pathophysiological (mechanistic) descriptors such as nociceptive, neuropathic, and nociplastic pain. This system provides a framework for accurate diagnosis and mechanism-based therapy. Alongside the appropriate classification of pain, consideration of treatment approaches that include non-invasive (pharmacological and non-pharmacological) and invasive strategies tailored to specific types of pain will refine and inform research trials and clinical practice when it comes to treating pain in Parkinson’s disease.Pontificia Universidad Católica Argentina2025info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://repositorio.uca.edu.ar/handle/123456789/199291474-442210.1016/S1474-4422(25)00033-XThe Lancet Neurology. 24, 2025.reponame:Repositorio Institucional (UCA)instname:Pontificia Universidad Católica Argentinaenginfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/2025-07-03T11:00:14Zoai:ucacris:123456789/19929instacron:UCAInstitucionalhttps://repositorio.uca.edu.ar/Universidad privadaNo correspondehttps://repositorio.uca.edu.ar/oaiclaudia_fernandez@uca.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:25852025-07-03 11:00:15.126Repositorio Institucional (UCA) - Pontificia Universidad Católica Argentinafalse
dc.title.none.fl_str_mv Advances in diagnosis, classification, and management of pain in Parkinson’s disease
title Advances in diagnosis, classification, and management of pain in Parkinson’s disease
spellingShingle Advances in diagnosis, classification, and management of pain in Parkinson’s disease
Tinazzi, Michele
ENFERMEDAD DE PARKINSON
DIAGNOSTICO
CLASIFICACION
MANEJO DEL DOLOR
title_short Advances in diagnosis, classification, and management of pain in Parkinson’s disease
title_full Advances in diagnosis, classification, and management of pain in Parkinson’s disease
title_fullStr Advances in diagnosis, classification, and management of pain in Parkinson’s disease
title_full_unstemmed Advances in diagnosis, classification, and management of pain in Parkinson’s disease
title_sort Advances in diagnosis, classification, and management of pain in Parkinson’s disease
dc.creator.none.fl_str_mv Tinazzi, Michele
Gandolfi, Marialuisa
Artusi, Carlo Alberto
Bannister, Kirsty
Rukavina, Katarina
Brefel-Courbon, Christine
Ciampi de Andrade, Daniel
Pérez Lloret, Santiago
Mylius, Veit
author Tinazzi, Michele
author_facet Tinazzi, Michele
Gandolfi, Marialuisa
Artusi, Carlo Alberto
Bannister, Kirsty
Rukavina, Katarina
Brefel-Courbon, Christine
Ciampi de Andrade, Daniel
Pérez Lloret, Santiago
Mylius, Veit
author_role author
author2 Gandolfi, Marialuisa
Artusi, Carlo Alberto
Bannister, Kirsty
Rukavina, Katarina
Brefel-Courbon, Christine
Ciampi de Andrade, Daniel
Pérez Lloret, Santiago
Mylius, Veit
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv ENFERMEDAD DE PARKINSON
DIAGNOSTICO
CLASIFICACION
MANEJO DEL DOLOR
topic ENFERMEDAD DE PARKINSON
DIAGNOSTICO
CLASIFICACION
MANEJO DEL DOLOR
dc.description.none.fl_txt_mv Fil: Tinazzi, Michele. Universidad de Verona; Italia
Fil: Gandolfi, Marialuisa. Universidad de Verona; Italia
Fil: Artusi, Carlo Alberto. Universidad de Turín; Italia
Fil: Bannister, Kirsty. Universidad Imperial de Londres; Inglaterra
Fil: Rukavina, Katarina. Movement Disorders Hospital Beelitz; Alemania
Fil: Rukavina, Katarina. Academia Europea de Neurología; Austria
Fil: Brefel-Courbon, Christine. University Hospital of Toulouse; Francia
Fil: Ciampi de Andrade, Daniel. Universidad de Aalborg; Dinamarca
Fil: Pérez Lloret, Santiago. Universidad de Buenos Aires; Argentina
Fil: Pérez Lloret, Santiago. Pontificia Universidad Católica Argentina. Facultad de Ciencias Médicas; Argentina
Fil: Pérez Lloret, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Mylius, Veit. Center for Neurorehabilitation; Suiza
Fil: Mylius, Veit. Universidad de Marburgo; Alemania
With over 10 million people affected worldwide, Parkinson’s disease is the fastest-growing neurological disorder. More than two-thirds of people with Parkinson’s disease live with chronic pain, which can manifest in various stages of the disease, substantially affecting daily activities and quality of life. The Parkinson’s disease Pain Classification System overcomes the limitations of previous classification systems by distinguishing between pain related to Parkinson’s disease and unrelated pain, while also incorporating clinical and pathophysiological (mechanistic) descriptors such as nociceptive, neuropathic, and nociplastic pain. This system provides a framework for accurate diagnosis and mechanism-based therapy. Alongside the appropriate classification of pain, consideration of treatment approaches that include non-invasive (pharmacological and non-pharmacological) and invasive strategies tailored to specific types of pain will refine and inform research trials and clinical practice when it comes to treating pain in Parkinson’s disease.
description Fil: Tinazzi, Michele. Universidad de Verona; Italia
publishDate 2025
dc.date.none.fl_str_mv 2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://repositorio.uca.edu.ar/handle/123456789/19929
1474-4422
10.1016/S1474-4422(25)00033-X
url https://repositorio.uca.edu.ar/handle/123456789/19929
identifier_str_mv 1474-4422
10.1016/S1474-4422(25)00033-X
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Pontificia Universidad Católica Argentina
publisher.none.fl_str_mv Pontificia Universidad Católica Argentina
dc.source.none.fl_str_mv The Lancet Neurology. 24, 2025.
reponame:Repositorio Institucional (UCA)
instname:Pontificia Universidad Católica Argentina
reponame_str Repositorio Institucional (UCA)
collection Repositorio Institucional (UCA)
instname_str Pontificia Universidad Católica Argentina
repository.name.fl_str_mv Repositorio Institucional (UCA) - Pontificia Universidad Católica Argentina
repository.mail.fl_str_mv claudia_fernandez@uca.edu.ar
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score 13.13397