Evidence map›Paper›PMID 35304493›Full record

ArticleNPJ Parkinson's disease2022

The emerging postural instability phenotype in idiopathic Parkinson disease.

Frank M Skidmore, William S Monroe, Christopher P Hurt, Anthony P Nicholas, Adam Gerstenecker, Thomas Anthony, Leon Jololian, Gary Cutter, Adil Bashir, Thomas Denny and 2 more

Open access · goldAbstract read
In one paragraph

Article in NPJ Parkinson's disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 26 citations in OpenAlex.

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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

12 authors at 3 institutions in 1 country.

Frank M SkidmoreDepartment of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA.
William S MonroeDepartment of Electrical & Computer Engineering, University of Alabama at Birmingham, Birmingham, AL, USA.
Christopher P HurtDepartment of Physical Therapy, University of Alabama at Birmingham, Birmingham, AL, USA.
Anthony P NicholasDepartment of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA.
Adam GersteneckerDepartment of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA.
Thomas AnthonyDepartment of Electrical & Computer Engineering, University of Alabama at Birmingham, Birmingham, AL, USA.
Leon JololianDepartment of Electrical & Computer Engineering, University of Alabama at Birmingham, Birmingham, AL, USA.
Gary CutterSchool of Public Health, Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA.
Adil BashirDepartment of Computer and Electrical Engineering, Auburn University, Auburn, AL, USA.
Thomas DennyDepartment of Computer and Electrical Engineering, Auburn University, Auburn, AL, USA.ORCID http://orcid.org/0000-0002-6695-4777
David StandaertDepartment of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA.ORCID http://orcid.org/0000-0003-2921-8348
Elizabeth A DisbrowDepartment of Neurology, Center for Brain Health, Louisiana State University Health Sciences Center, Shreveport, LA, USA. elizabeth.disbrow@lsuhs.edu.ORCID http://orcid.org/0000-0002-2133-3221
University of Alabama at Birmingham · USAuburn University · USLouisiana State University Health Sciences Center Shreveport · US

Funding

Diagnosis of Parkinson's Disease using Diffusion Tensor ImagingK23NS083620 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SKIDMORE, FRANK M. · 2014 to 2018
$930k
NINDS NIH HHS K23 NS083620U.S. Department of Health & Human Services | National Institutes of Health (NIH) K23NS083620
6 · The paper itself

Abstract

Identification of individuals at high risk for rapid progression of motor and cognitive signs in Parkinson disease (PD) is clinically significant. Postural instability and gait dysfunction (PIGD) are associated with greater motor and cognitive deterioration. We examined the relationship between baseline clinical factors and the development of postural instability using 5-year longitudinal de-novo idiopathic data (n = 301) from the Parkinson's Progressive Markers Initiative (PPMI). Logistic regression analysis revealed baseline features associated with future postural instability, and we designated this cohort the emerging postural instability (ePI) phenotype. We evaluated the resulting ePI phenotype rating scale validity in two held-out populations which showed a significantly higher risk of postural instability. Emerging PI phenotype was identified before onset of postural instability in 289 of 301 paired comparisons, with a median progression time of 972 days. Baseline cognitive performance was similar but declined more rapidly in ePI phenotype. We provide an ePI phenotype rating scale (ePIRS) for evaluation of individual risk at baseline for progression to postural instability.

Identifiers

PMID35304493
PMCPMC8933561
OpenAlexW4220664572

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.