Evidence map›Paper›PMID 37458046›Full record

ArticleJournal of Parkinson's disease2023

Parkinson's Progression Markers Initiative: A Milestone-Based Strategy to Monitor Parkinson's Disease Progression.

Michael C Brumm, Andrew Siderowf, Tanya Simuni, Elliot Burghardt, Seung Ho Choi, Chelsea Caspell-Garcia, Lana M Chahine, Brit Mollenhauer, Tatiana Foroud, Douglas Galasko and 11 more

Registry-linked trialAbstract read
In one paragraph

Article in Journal of Parkinson's disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06834191 (Analysis of the Relationship Between Immunosuppressive Treatment Status and Clinical Course of Parkinson's Disease), which is not on this map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06834191 recruitingnot on this mapstarted 2025, after this paper: background citation

Analysis of the Relationship Between Immunosuppressive Treatment Status and Clinical Course of Parkinson's Disease

TypeobservationalSponsorMedical University of WarsawRan2025 to 2028Enrolled80ConditionsParkinson Disease
3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Digital Outcomes as Biomarkers of Disease Progression in Early Parkinson's Disease: A Systematic Review.Movement disorders : official journal of the Movement Disorder Society · 2025
    Pooled it
  2. What's in a name? reframing advanced Parkinson's disease as a multidimensional state.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    Review
  3. Article
  4. Article
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  6. Article
  7. Review
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  10. Clinical and Imaging Characteristics of Parkinson's Disease with Negative Alpha-Synuclein Seed Amplification Assay.Movement disorders : official journal of the Movement Disorder Society · 2026
    Article
  11. Article
  12. Peripheral inflammation predicts motor, cognitive, and disease progression in Parkinson's disease: A 4-year longitudinal study from the PPMI cohorts.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
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  15. Review
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  18. Differentiating between the impact of sex and gender in Parkinson's disease: utilising these to advance current understanding and care practices.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Review
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  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Michael C BrummDepartment of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA.
Andrew SiderowfDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Tanya SimuniDepartment of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Elliot BurghardtDepartment of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA.
Seung Ho ChoiDepartment of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA.
Chelsea Caspell-GarciaDepartment of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA.
Lana M ChahineDepartment of Neurology, University of Pittsburgh, Pittsburgh, PA, USA.
Brit MollenhauerDepartment of Neurology, University Medical Center Goettingen, Goettingen, Germany.
Tatiana ForoudDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA.
Douglas GalaskoDepartment of Neurology, University of California, San Diego, CA, USA.
Kalpana MerchantDepartment of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Vanessa ArnedoThe Michael J. Fox Foundation for Parkinson's Research, New York, NY, USA.
Samantha J HuttenThe Michael J. Fox Foundation for Parkinson's Research, New York, NY, USA.
Alyssa N O'GradyThe Michael J. Fox Foundation for Parkinson's Research, New York, NY, USA.
Kathleen L PostonDepartment of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA.
Caroline M TannerDepartment of Neurology, Weill Institute for Neurosciences, University of California San Francisco, SanFrancisco, CA, USA.
Daniel WeintraubDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Karl KieburtzUniversity of Rochester Medical Center, University of Rochester, Rochester, NY, USA.
Kenneth MarekInstitute for Neurodegenerative Disorders, New Haven, CT, USA.
Christopher S CoffeyDepartment of Biostatistics, College of Public Health, University of Iowa, Iowa City, IA, USA.
Parkinson’s Progression Markers Initiative

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentifying a meaningful progression metric for Parkinson's disease (PD) that reflects heterogeneity remains a challenge.

objectiveTo assess the frequency and baseline predictors of progression to clinically relevant motor and non-motor PD milestones.

methodsUsing data from the Parkinson's Progression Markers Initiative (PPMI) de novo PD cohort, we monitored 25 milestones across six domains ("walking and balance"; "motor complications"; "cognition"; "autonomic dysfunction"; "functional dependence"; "activities of daily living"). Milestones were intended to be severe enough to reflect meaningful disability. We assessed the proportion of participants reaching any milestone; evaluated which occurred most frequently; and conducted a time-to-first-event analysis exploring whether baseline characteristics were associated with progression.

resultsHalf of participants reached at least one milestone within five years. Milestones within the cognitive, functional dependence, and autonomic dysfunction domains were reached most often. Among participants who reached a milestone at an annual follow-up visit and remained active in the study, 82% continued to meet criteria for any milestone at one or more subsequent annual visits and 55% did so at the next annual visit. In multivariable analysis, baseline features predicting faster time to reaching a milestone included age (p < 0.0001), greater MDS-UPDRS total scores (p < 0.0001), higher GDS-15 depression scores (p = 0.0341), lower dopamine transporter binding (p = 0.0043), and lower CSF total α-synuclein levels (p = 0.0030). Symptomatic treatment was not significantly associated with reaching a milestone (p = 0.1639).

conclusionClinically relevant milestones occur frequently, even in early PD. Milestones were significantly associated with baseline clinical and biological markers, but not with symptomatic treatment. Further studies are necessary to validate these results, further assess the stability of milestones, and explore translating them into an outcome measure suitable for observational and therapeutic studies.

Indexed as

Parkinson DiseasePrimary DysautonomiasBiomarkersCognitionDisease ProgressionHumansBiomarkersclinical trials as topicdisease progressionoutcome measuresParkinson’s disease

Identifiers

PMID37458046
PMCPMC10578214

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.