Evidence map›Paper›PMID 35138228›Full record

ArticleJournal of clinical and experimental neuropsychology2021

An initial exploration of the convergent and ecological validity of the UDS 3.0 neuropsychological battery in Parkinson's Disease.

RoShunna Lea, Jared F Benge, Charles H Adler, Thomas G Beach, Christine M Belden, Nan Zhang, Holly A Shill, Erika Driver-Dunckley, Shyamal H Mehta, Alireza Atri

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical and experimental neuropsychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Ecological validity of cognitive fluctuations in dementia with Lewy bodies.Journal of the International Neuropsychological Society : JINS · 2024
    Article
  3. Article
  4. 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

10 authors at 6 institutions in 1 country.

RoShunna LeaDepartment of Neurology, Baylor Scott and White Health, Temple, TX, USA.
Jared F BengeDepartment of Neurology, University of Texas Dell Medical School, University of Texas, Austin, TX, USA.
Charles H AdlerParkinson's Disease and Movement Disorders Center, Department of Neurology, Mayo Clinic College of Medicine, Scottsdale, AZ, USA.
Thomas G BeachCivin Laboratory for Neuropathology, Banner Sun Health Research Institute, Sun City, AZ, USA.
Christine M BeldenNeuropsychology Center, Banner Sun Health Research Institute, Sun City, AZ, USA.
Nan ZhangParkinson's Disease and Movement Disorders Center, Department of Neurology, Mayo Clinic College of Medicine, Scottsdale, AZ, USA.
Holly A ShillDepartment of Neurology, Barrow Neurological Institute, Phoenix, AZ, USA.
Erika Driver-DunckleyParkinson's Disease and Movement Disorders Center, Department of Neurology, Mayo Clinic College of Medicine, Scottsdale, AZ, USA.
Shyamal H MehtaParkinson's Disease and Movement Disorders Center, Department of Neurology, Mayo Clinic College of Medicine, Scottsdale, AZ, USA.
Alireza AtriCleo Roberts Center, Banner Sun Health Research Institute, Sun City, AZ, USA.
Mayo Clinic in Arizona · USBanner Sun Health Research Institute · USBarrow Neurological Institute · USBaylor Scott & White Health · USBrigham and Women's Hospital · USThe University of Texas at Austin · US

Funding

Research Education ComponentP30AG019610 · NIA · SUN HEALTH RESEARCH INSTITUTE · PI REIMAN, ERIC MICHAEL · 2001 to 2020
$32.5M
Research Education ComponentP30AG072980 · NIA · BANNER HEALTH · PI Nicholas Ashton · 2021 to 2026
$24.9M
National Brain and Tissue Resource for Parkinson's Disease and Related DisordersU24NS072026 · NINDS · BANNER SUN HEALTH RESEARCH INSTITUTE · PI BEACH, THOMAS G · 2011 to 2015
$7.8M
NIA NIH HHS P30 AG019610NIA NIH HHS P30 AG072980NINDS NIH HHS U24 NS072026
6 · The paper itself

Abstract

objectiveThe Uniform Data Set 3.0 neuropsychological battery (UDS3NB) is well developed for research with Alzheimer's disease and related dementias, and may serve as a common set of measures of cognitive decline across neurodegenerative diseases. However, the battery has not been formally assessed in persons with Parkinson's disease (PD). The current research provides initial information on the convergent and ecological validity of the UDS3NB in individuals with PD.

methodsParticipants included 75 individuals diagnosed with PD from the Arizona Study of Aging and Neurodegenerative Disorders. Clinical dementia ratings, administered independently from the cognitive measures, identified individuals as having normal cognition (

resultsAt the group-level, UDS3NB scores followed the expected pattern with higher scores in participants with PD but no cognitive diagnosis and lower in those with dementia; scores in the MCI group were between these extremes. Convergent validity was suggested by moderate correlations between UDS specific measures (i.e., Craft story) and measures such as the RAVLT. Ecological validity was suggested by statistically significant correlations between UDS3NB performance and caregiver ratings of ADLs, with speed and executive functioning measures (Trailmaking A;

conclusionsFindings provide initial support for the convergent and ecological validity of the UDS3NB in individuals with PD. Implications and future directions for this battery are discussed.

Indexed as

Cognitive DysfunctionParkinson DiseaseActivities of Daily LivingCognitionHumansMental Status and Dementia TestsNeuropsychological Testsdementiaecological validitymild cognitive impairmentNeuropsychological AssessmentParkinson’s Diseasepsychometrics

Identifiers

PMID35138228
PMCPMC8881345
OpenAlexW4210834046

What OpenQuestion holds

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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.