Evidence map›Paper›PMID 36566525›Full record

ArticleParkinsonism & related disorders2023

Composite measures of motor performance and self-efficacy are better determinants of postural instability and gait difficulties than individual clinical measures in Parkinson's disease.

Chatkaew Pongmala, Stiven Roytman, Miriam van Emde Boas, Olivia Dickinson, Prabesh Kanel, Nicolaas I Bohnen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Parkinsonism & related disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
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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

6 authors.

Chatkaew PongmalaDepartment of Radiology, University of Michigan, Ann Arbor, MI, USA; Functional Neuroimaging, Cognitive, and Mobility Laboratory, Departments of Radiology and Neurology, University of Michigan, Ann Arbor, MI, USA; Morris K. Udall Center of Excellence for Parkinson's Disease Research, University of Michigan, Ann Arbor, MI, USA. Electronic address: pchatkae@umich.edu.
Stiven RoytmanDepartment of Radiology, University of Michigan, Ann Arbor, MI, USA; Functional Neuroimaging, Cognitive, and Mobility Laboratory, Departments of Radiology and Neurology, University of Michigan, Ann Arbor, MI, USA.
Miriam van Emde BoasDepartment of Radiology, University of Michigan, Ann Arbor, MI, USA; Functional Neuroimaging, Cognitive, and Mobility Laboratory, Departments of Radiology and Neurology, University of Michigan, Ann Arbor, MI, USA; Morris K. Udall Center of Excellence for Parkinson's Disease Research, University of Michigan, Ann Arbor, MI, USA.
Olivia DickinsonDepartment of Radiology, University of Michigan, Ann Arbor, MI, USA; Functional Neuroimaging, Cognitive, and Mobility Laboratory, Departments of Radiology and Neurology, University of Michigan, Ann Arbor, MI, USA.
Prabesh KanelDepartment of Radiology, University of Michigan, Ann Arbor, MI, USA; Functional Neuroimaging, Cognitive, and Mobility Laboratory, Departments of Radiology and Neurology, University of Michigan, Ann Arbor, MI, USA; Morris K. Udall Center of Excellence for Parkinson's Disease Research, University of Michigan, Ann Arbor, MI, USA; Parkinson's Foundation Research Center of Excellence, University of Michigan, Ann Arbor, MI, USA.
Nicolaas I BohnenDepartment of Radiology, University of Michigan, Ann Arbor, MI, USA; Department of Neurology, University of Michigan, Ann Arbor, MI, USA; Functional Neuroimaging, Cognitive, and Mobility Laboratory, Departments of Radiology and Neurology, University of Michigan, Ann Arbor, MI, USA; Morris K. Udall Center of Excellence for Parkinson's Disease Research, University of Michigan, Ann Arbor, MI, USA; Parkinson's Foundation Research Center of Excellence, University of Michigan, Ann Arbor, MI, USA; Neurology Service and GRECC, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA.

Funding

Udall Catalyst Research Project: Retrosplenial Cholinergic and Attentional-Motor Integration DysfunctionP50NS123067 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ALBIN, ROGER L · 2021 to 2025
$11.6M
Public Outreach and Education CoreP50NS091856 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAUER, WILLIAM T. · 2014 to 2019
$10.1M
Central cholinergic presbyvestibulopathy network changes and imbalance in Parkinson's disease and older personsR01AG073100 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOHNEN, NICOLAAS IDA · 2021 to 2025
$3.0M
Hyposmia, Cholinergic Denervation and Incipient Cognitive Decline in PDR01NS070856 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOHNEN, NICOLAAS IDA · 2010 to 2014
$1.9M
Amyloidopathy, cholinopathy, dopamine responsiveness and freezing of gait in PDI01RX001631 · VA · VETERANS HEALTH ADMINISTRATION · PI BOHNEN, NICOLAAS IDA · 2016 to 2020
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NIA NIH HHS R01 AG073100NINDS NIH HHS P50 NS091856NINDS NIH HHS P50 NS123067NINDS NIH HHS R01 NS070856RRD VA I01 RX001631
6 · The paper itself

Abstract

backgroundPostural instability and gait difficulties (PIGD) are a significant cause of disability and loss of quality of life (QoL) in Parkinson's Disease. Most research on clinical predictors of PIGD measures have focused on individual clinical often motor performance variables, However, PIGD motor features often result in fear of falling (FoF) lowering a patient's mobility self-efficacy. The purpose of this study was to assess composite measures of motor and self-efficacy determinants PIGD motor features in PD and compare these to analysis of individual clinical metrics.

methods75 PD participants underwent detailed motor and non-motor test batteries. Principal component analysis (PCA) was used to identify clusters of covarying correlates of slow walking, imbalance, falls, freezing of gait, FoG and compare these to traditional univariate analyses.

resultsA single PCA-derived composite measure of motor performance and self-efficacy of mobility was the most robust determinant of all PIGD motor features except for falls. In contrast, analysis of the individual clinical variables showed more limited and diverging findings, including evidence of better cognitive performance but more severe motor parkinsonian ratings in the fall group.

conclusionThere are robust associations between composite measures of motor performance and self-efficacy of mobility and all PIGD motor features except for falls. Univariate analysis of individual clinical measures showed limited correlates of PIGD motor features. Patient's own perception of motor performance, FoF, and QoL deserve more attention as PIGD therapeutic targets in PD.

Indexed as

Gait Disorders, NeurologicParkinson DiseaseFearGaitHumansPostural BalanceQuality of LifeSelf Efficacy

Identifiers

PMID36566525
PMCPMC10028594

What OpenQuestion holds

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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.