Evidence map›Paper›PMID 41054340›Full record

ArticleMovement disorders clinical practice2026

Prognostic Value of Parkinson's Disease Subtypes in the LABS-PD Cohort: Functional Ability, Quality of Life and Mortality.

Deepa Dash, Shirley Eberly, David Oakes, David Grimes, Anthony E Lang, Caroline Tanner, Tiago A Mestre, Connie Marras

Abstract read
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Article in Movement disorders clinical practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Deepa DashParkinson's Disease and Movement Disorders Center, Division of Neurology, Department of Medicine, The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada.ORCID https://orcid.org/0000-0002-4285-144X
Shirley EberlyDepartment of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, USA.
David OakesDepartment of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, USA.
David GrimesParkinson's Disease and Movement Disorders Center, Division of Neurology, Department of Medicine, The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada.
Anthony E LangMorton and Gloria Shulman Movement Disorders Centre and the Edmond J. Safra Program in Parkinson's disease, Toronto Western Hospital, University of Toronto, Toronto, ON, Canada.
Caroline TannerDepartment of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.
Tiago A MestreParkinson's Disease and Movement Disorders Center, Division of Neurology, Department of Medicine, The Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada.ORCID https://orcid.org/0000-0002-6973-7479
Connie MarrasMorton and Gloria Shulman Movement Disorders Centre and the Edmond J. Safra Program in Parkinson's disease, Toronto Western Hospital, University of Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-9236-9328

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch on Parkinson's disease (PD) heterogeneity may inform clinical prognosis. There is currently no fully validated PD subtype classification system.

objectivesWe aimed at assessing the prognostic relevance of a data-driven PD subtype classification system.

methodsTo identify PD subtypes, we conducted cluster analyses in the Longitudinal and Biomarker Studies in Parkinson's Disease study (LABS-PD) cohort including 461 PD patients enrolled within 2 years of diagnosis and followed for at least 5 years. We determined the association of each PD subtype with the mean changes in the Schwab & England Activities of Daily Living (SE-ADL) and Parkinson's Disease Questionnaire-39 (PDQ-39). We evaluated the association of each PD subtype with the death rate and time to death, after mortality ascertainment using the National Death Index database and review of records at study sites.

resultsWe identified three subtypes: Tremor Predominant, Motor Complications, and Rapid Progression. Over 2 years, the change of SE-ADL score for the "Motor Complications" subtype (-4.26, 95% CI: -6.60, -1.91) was worse compared to the "Tremor Predominant" subtype (0.43, 95% CI: -1.35, 2.22). The adjusted death rate was lower for the "Tremor Predominant" subtype compared to the "Motor Complications" subtype (HR [time to death]: 0.27, 95% CI: 0.14, 0.52).

conclusionsPD subtypes generated in LABS-PD cohort have prognostic value, for short-term functional ability and long-term survival. Membership in the "Tremor Predominant" subtype 5 years after PD diagnosis was associated with preserved functional ability and longer survival compared to the "Motor Complications" subtype.

Indexed as

Activities of Daily LivingParkinson DiseaseQuality of LifeAgedCohort StudiesDisease ProgressionFemaleHumansLongitudinal StudiesMaleMiddle AgedPrognosisclinicaldata‐drivenmortalityParkinson's diseaseprognosissubtypes

Identifiers

PMID41054340
PMCPMC13042752

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