Evidence map›Paper›PMID 30280267›Full record

ReviewCurrent neurology and neuroscience reports2018

Longitudinal Progression Markers of Parkinson's Disease: Current View on Structural Imaging.

Jing Yang, Roxana G Burciu, David E Vaillancourt

Open access · greenAbstract readReview
In one paragraph

Review in Current neurology and neuroscience reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% of its field
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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. The diagnostic value of SNpc using NM-MRI in Parkinson's disease: meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2019
    Pooled it
  2. One-Year Substantia NigraMovement disorders : official journal of the Movement Disorder Society · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. PET, SPECT, and MRI imaging for evaluation of Parkinson's disease.American journal of nuclear medicine and molecular imaging · 2024
    Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  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

3 authors at 2 institutions in 2 countries.

Jing YangDepartment of Neurology, West China Hospital of Sichuan University, Chengdu, China.
Roxana G BurciuDepartment of Applied Physiology and Kinesiology, University of Florida, P.O. Box 118205, Gainesville, FL, 32611, USA.
David E VaillancourtDepartment of Applied Physiology and Kinesiology, Department of Neurology, Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA. vcourt@ufl.edu.
University of Florida · USSichuan University · CN

Funding

Scaling and Sequencing Motor Output in Humans: fMRI StudyR01NS052318 · NINDS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI VAILLANCOURT, DAVID E · 2005 to 2020
$6.0M
Neuroimaging Biomarkers in Parkinsonism: Differentiating Subtypes and Tracking Disease ProgressionU01NS102038 · NINDS · UNIVERSITY OF FLORIDA · PI CORCOS, DANIEL M., VAILLANCOURT, DAVID E · 2017 to 2019
$2.3M
NINDS NIH HHS R01 NS052318NINDS NIH HHS U01 NS102038
6 · The paper itself

Abstract

purpose of reviewAdvances in neuroimaging techniques pave a rich avenue for in vivo progression biomarkers, which can objectively and noninvasively assess the long-term dynamic alterations in the brain of Parkinson's disease (PD) patients. This article reviews recent progress in structural magnetic resonance imaging (MRI) tools to track disease progression in PD, and discusses specific criteria a neuroimaging tool needs to meet to be a progression biomarker of PD and the potential applications of these techniques in PD based on current evidence. RECENT

findingsRecent longitudinal studies showed that quantitative structural MRI markers derived from T1-weighted, diffusion-weighted, neuromelanin-sensitive, and iron-sensitive imaging have the potential to track disease progression in PD. However, validation of these progression biomarkers is only beginning, and more work is required for multisite validation, the sample size for use in a clinical trial, and drug-responsiveness of most of these biomarkers. At present, the most clinical trial-ready biomarker is free-water diffusion imaging of the substantia nigra and seems well established to be used in disease-modifying studies in PD. A variety of structural imaging biomarkers are promising candidates to be progression biomarkers in PD. Further studies are needed to elucidate the sensitivity, reliability, sample size, and effect of confounding factors of these progression biomarkers.

Indexed as

BiomarkersDisease ProgressionHumansMagnetic Resonance ImagingMelaninsNeuroimagingParkinson DiseaseSubstantia NigraBiomarkersMelaninsneuromelaninBiomarkersDiffusion-weighted MRIFree-waterParkinson’s diseaseProgressionStructural MRI

Identifiers

PMID30280267
PMCPMC8650526
OpenAlexW2895157802

What OpenQuestion holds

Textmetadata
LicenceTDM
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.