Evidence map›Paper›PMID 28324303›Full record

ReviewCurrent neurology and neuroscience reports2017

Subtypes of Parkinson's Disease: What Do They Tell Us About Disease Progression?

Seyed-Mohammad Fereshtehnejad, Ronald B Postuma

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current neurology and neuroscience reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
100citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Trial
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  8. Article
  9. Refining the Parkinson's Disease Risk Estimator for Decline In Cognition Tool (PREDICT).Cognitive and behavioral neurology : official journal of the Society for Behavioral and Cognitive Neurology · 2026
    Article
  10. Review
  11. Article
  12. Review
  13. Review
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  15. Article
  16. Article
  17. Article
  18. Neuroprotection in Parkinson Disease.Neurology and therapy · 2025
    Review
  19. Article
  20. Article

40 more citing papers are in PubMed but not listed here.

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

2 authors.

Seyed-Mohammad FereshtehnejadDepartment of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.
Ronald B PostumaDepartment of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada. ron.postuma@mcgill.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease is a widely heterogeneous disorder with a broad list of motor and nonmotor manifestations. Identifying subtypes of Parkinson's disease is one of the top clinical and research priorities. This review aims to summarize the most valid conventional and recent subtyping solutions that have been introduced so far and to update our current knowledge with recent discoveries on the association between subtypes and disease progression. We also discuss the challenges of subtyping in the context of Parkinson's disease, stability of the subtypes over time, and potential clinical implications. Sophisticated evidence show that there are distinct subtypes of Parkinson's disease with diverging trends of progression. A more holistic view of subtyping to merge traditional motor features with key nonmotor manifestations is a promising approach to identify subgroups with different prognosis. Subtyping could improve further by adding continuing to add data from imaging, CSF, and genetic biomarkers.

Indexed as

Age of OnsetBiomarkersDisease ProgressionHumansParkinson DiseasePrognosisBiomarkersMotor symptomsNonmotor symptomsParkinson’s diseaseProgressionSubtype

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.