Evidence map›Paper›PMID 26740065›Full record

SynthesisArchives of physical medicine and rehabilitation2016

Dimensionality and Item-Difficulty Hierarchy of the Lower Extremity Fugl-Meyer Assessment in Individuals With Subacute and Chronic Stroke.

Chitralakshmi K Balasubramanian, Chih-Ying Li, Mark G Bowden, Pamela W Duncan, Steven A Kautz, Craig A Velozo

Abstract readMeta-Analysis
In one paragraph

Synthesis in Archives of physical medicine and rehabilitation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed, 1 synthesis or guideline 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.

Chitralakshmi K BalasubramanianDepartment of Clinical and Applied Movement Sciences, University of North Florida, Jacksonville, FL. Electronic address: c.k-balasubramanian@unf.edu.
Chih-Ying LiDepartment of Health Science and Research and Division of Physical Therapy, College of Health Profession, Medical University of South Carolina, Charleston, SC.
Mark G BowdenDepartment of Health Science and Research and Division of Physical Therapy, College of Health Profession, Medical University of South Carolina, Charleston, SC; Ralph H. Johnson Veterans Affairs Medical Center, Charleston, SC.
Pamela W DuncanDepartment of Neurology, Wake Forest University, Winston-Salem, NC.
Steven A KautzDepartment of Health Science and Research and Division of Physical Therapy, College of Health Profession, Medical University of South Carolina, Charleston, SC; Ralph H. Johnson Veterans Affairs Medical Center, Charleston, SC.
Craig A VelozoDivision of Occupational Therapy, College of Health Profession, Medical University of South Carolina, Charleston, SC.

Funding

Treating Depression and Enhancing Locomotor Recovery Post-strokeP20GM109040 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI KAUTZ, STEVEN A. · 2014 to 2024
$23.5M
Locomotor Experience Applied Post-Stroke (LEAPS)R01NS050506 · NINDS · UNIVERSITY OF FLORIDA · PI DUNCAN, PAMELA W. · 2005 to 2009
$13.3M
Intermuscular Coordination of Hemiparetic WalkingR01HD046820 · NICHD · UNIVERSITY OF FLORIDA · PI KAUTZ, STEVEN A. · 2004 to 2010
$1.9M
Augmentation of Locomotor Adaptation Post-StrokeIK2RX000787 · VA · RALPH H JOHNSON VA MEDICAL CENTER · PI BOWDEN, MARK G. · 2015 to 2017
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NICHD NIH HHS HD46820NICHD NIH HHS R01 HD046820NIGMS NIH HHS P20 GM109040NIGMS NIH HHS P20-GM109040NINDS NIH HHS R01 NS050506RRD VA IK2 RX000787
6 · The paper itself

Abstract

objectiveTo investigate the dimensionality and item-difficulty hierarchy of the Fugl-Meyer Assessment of the lower extremity (FMA-LE).

designSecondary analyses of data pooled from 4 existing datasets: a phase III randomized controlled trial investigating the effectiveness of body weight support and a treadmill for rehabilitation of walking poststroke, and 3 cross-sectional studies investigating the link between impaired motor performance poststroke and walking.

settingUniversity research centers and rehabilitation centers.

participantsA pooled sample of individuals with a stroke (N=535, men=313; mean age ± SD, 61.91±12.42y).

interventionsNot applicable.

main outcome measuresConfirmatory factor analyses (CFA) and Rasch residual principal component analysis (PCA) investigated the dimensionality of the FMA-LE. The Rasch analysis rating scale model investigated item-difficulty hierarchy of the FMA-LE.

resultsThe CFA showed adequate fit of a 3-factor model, with 2 out of 3 indices (CFA=.95; Tucker-Lewis Index=.94; root mean square error of approximation=.124) showing good model fit. Rasch PCA showed that removal of the reflex and coordination items explained 90.8% of variance in the data, suggesting that the abnormal synergy items contributed to the measurement of a unidimensional construct. However, rating scale model results revealed deviations in the item-difficulty hierarchy of the unidimensional abnormal synergy items from the originally proposed stepwise sequence of motor recovery.

conclusionsOur findings suggest that the FMA-LE might represent a multidimensional construct, challenging the use of a total score of the FMA-LE to predict lower extremity motor recovery. Removal of the misfit items resulted in creation of a unidimensional scale composed of the abnormal synergy items. However, this unidimensional scale deviates from the originally proposed hierarchical ordering.

Indexed as

Disability EvaluationRecovery of FunctionAgedChronic DiseaseCross-Sectional StudiesExercise TestFactor Analysis, StatisticalFemaleHumansLower ExtremityMaleMiddle AgedPrincipal Component AnalysisPsychometricsRandomized Controlled Trials as TopicRetrospective StudiesLower extremityRehabilitationStroke

Identifiers

PMID26740065
PMCPMC5223484

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.