Evidence map›Paper›PMID 29247072›Full record

ArticleNeurology2018

Vascular and dopaminergic contributors to mild parkinsonian signs in older adults.

Andrea L Rosso, Nicolaas I Bohnen, Lenore J Launer, Howard J Aizenstein, Kristine Yaffe, Caterina Rosano

Open access · bronzeAbstract read
In one paragraph

Article in Neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

20 citing papers in PubMed, 33 citations in OpenAlex.

  1. Analyzing the 'Bradykinesia Complex' in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2026
    Article
  2. Article
  3. Neural basis of motor symptoms in Alzheimer's disease: role of regional tau burden and cognition.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  4. Article
  5. Higher Striatal Dopamine is Related With Lower Physical Performance Fatigability in Community-Dwelling Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Anticholinergic Medication Use, Dopaminergic Genotype, and Recurrent Falls.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
  10. Mild Parkinsonian Signs, Energy Decline, and Striatal Volume in Community-Dwelling Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
  11. Cortico-striatal functional connectivity and cerebral small vessel disease: Contribution to mild Parkinsonian signs.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2022
    Article
  12. Association between neuromelanin-sensitive MRI signal and psychomotor slowing in late-life depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Influence of Striatal Dopamine, Cerebral Small Vessel Disease, and Other Risk Factors on Age-Related Parkinsonian Motor Signs.The journals of gerontology. Series A, Biological sciences and medical sciences · 2020
    Article
  17. Differential Influence of Location-Specific White-Matter Hyperintensities on Attention Subdomains Measured Using the Attention Network Test.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Article
  18. Article
  19. Subtype definition of vascular parkinsonism.Parkinsonism & related disorders · 2018
    Article
  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

6 authors at 2 institutions in 1 country.

Andrea L RossoFrom the Department of Epidemiology, Graduate School of Public Health (A.L.R., C.R.), and Department of Psychiatry (H.J.A.), University of Pittsburgh, PA; Departments of Radiology and Neurology (N.I.B.), University of Michigan, Ann Arbor; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, Baltimore, MD; and Departments of Psychiatry, Neurology, and Epidemiology & Biostatistics (K.Y.), University of California, San Francisco. alr143@pitt.edu.
Nicolaas I BohnenFrom the Department of Epidemiology, Graduate School of Public Health (A.L.R., C.R.), and Department of Psychiatry (H.J.A.), University of Pittsburgh, PA; Departments of Radiology and Neurology (N.I.B.), University of Michigan, Ann Arbor; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, Baltimore, MD; and Departments of Psychiatry, Neurology, and Epidemiology & Biostatistics (K.Y.), University of California, San Francisco.
Lenore J LaunerFrom the Department of Epidemiology, Graduate School of Public Health (A.L.R., C.R.), and Department of Psychiatry (H.J.A.), University of Pittsburgh, PA; Departments of Radiology and Neurology (N.I.B.), University of Michigan, Ann Arbor; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, Baltimore, MD; and Departments of Psychiatry, Neurology, and Epidemiology & Biostatistics (K.Y.), University of California, San Francisco.
Howard J AizensteinFrom the Department of Epidemiology, Graduate School of Public Health (A.L.R., C.R.), and Department of Psychiatry (H.J.A.), University of Pittsburgh, PA; Departments of Radiology and Neurology (N.I.B.), University of Michigan, Ann Arbor; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, Baltimore, MD; and Departments of Psychiatry, Neurology, and Epidemiology & Biostatistics (K.Y.), University of California, San Francisco.
Kristine YaffeFrom the Department of Epidemiology, Graduate School of Public Health (A.L.R., C.R.), and Department of Psychiatry (H.J.A.), University of Pittsburgh, PA; Departments of Radiology and Neurology (N.I.B.), University of Michigan, Ann Arbor; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, Baltimore, MD; and Departments of Psychiatry, Neurology, and Epidemiology & Biostatistics (K.Y.), University of California, San Francisco.
Caterina RosanoFrom the Department of Epidemiology, Graduate School of Public Health (A.L.R., C.R.), and Department of Psychiatry (H.J.A.), University of Pittsburgh, PA; Departments of Radiology and Neurology (N.I.B.), University of Michigan, Ann Arbor; Laboratory of Epidemiology and Population Sciences (L.J.L.), National Institute on Aging, Baltimore, MD; and Departments of Psychiatry, Neurology, and Epidemiology & Biostatistics (K.Y.), University of California, San Francisco.
National Institute on Aging · USUniversity of Michigan–Ann Arbor · US

Funding

VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
Public Outreach and Education CoreP50NS091856 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ALBIN, ROGER L · 2014 to 2019
$10.1M
Peripheral Nerve Function Decline in an Aged CohortR01AG028050 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STROTMEYER, ELSA S. · 2007 to 2015
$3.5M
Brain anatomical correlates of mobility control in the oldest oldR01AG029232 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROSANO, CATERINA · 2007 to 2011
$2.7M
Novel Brain Neuroimaging Markers of Age-Related Mobility ImpairmentK23AG028966 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROSANO, CATERINA · 2006 to 2008
$643k
Environmental Challenges and the Aging Brain: Implications for Community MobilityK01AG053431 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ROSSO, ANDREA L · 2016 to 2020
$509k
NIA NIH HHS K01 AG053431NIA NIH HHS K23 AG028966NIA NIH HHS P30 AG024827NIA NIH HHS R01 AG028050NIA NIH HHS R01 AG029232NINDS NIH HHS P50 NS091856
6 · The paper itself

Abstract

objectiveMild parkinsonian signs (MPS) are an underappreciated neurologic condition in older adults; we assessed associations of MPS with measures of dopaminergic (catechol-O-methyltransferase [COMT] genotype, an indicator of synaptic dopamine levels) and vascular (white matter hyperintensities [WMH], an indicator of cerebral small vessel disease) factors.

methodsIn a cohort of older adults (mean age 82.6 years [SD 2.6]; 58.0% female; 38.8% black), we assessed cross-sectional associations of WMH volume and COMT Val158Met (rs4680) genotype (n = 35 Met/Met, n = 180 Val carriers) with MPS by regression models adjusted for demographic and health characteristics. Interactions between WMH and COMT were assessed and analyses were repeated stratified by COMT genotype (Met/Met related to higher synaptic dopamine vs Val carriers related to lower synaptic dopamine).

resultsMPS was present in 42.3% of our sample. WMH (odds ratio [OR] 1.16, confidence interval [CI] 1.05-1.27) but not COMT (Met/Met compared to Val carrier: OR 0.62, CI 0.27-1.42) was related to MPS. There was a significant interaction between WMH and COMT (

conclusionsWMH had a direct relation with MPS. In contrast, COMT was not associated with MPS, but it did modify the effect of WMH on MPS. The dopaminergic system may provide compensation for the effects of WMH on MPS. These findings suggest that MPS has a vascular rather than dopaminergic origin in older adults, but both factors are important in MPS manifestation.

Indexed as

AgedAged, 80 and overCatechol O-MethyltransferaseCohort StudiesCross-Sectional StudiesFemaleGenetic Association StudiesGenetic Predisposition to DiseaseHeterozygoteHumansMagnetic Resonance ImagingMaleNuchal CordOrgan SizeParkinsonian DisordersSeverity of Illness IndexCatechol O-MethyltransferaseCOMT protein, human

Identifiers

PMID29247072
PMCPMC5772161
OpenAlexW2771745658

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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.