Evidence map›Paper›PMID 24805892›Full record

Trial reportJournal of rehabilitation research and development2014

Prediction of responders for outcome measures of locomotor Experience Applied Post Stroke trial.

Bruce H K Dobkin, Stephen E Nadeau, Andrea L Behrman, Samuel S Wu, Dorian K Rose, Mark Bowden, Stephanie Studenski, Xiaomin Lu, Pamela W Duncan

Abstract readComparative StudyMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Journal of rehabilitation research and development, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

30 citing papers in PubMed, 59 citations in OpenAlex.

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  15. Post-stroke cognitive impairments and responsiveness to motor rehabilitation: A review.Current physical medicine and rehabilitation reports · 2020
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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

9 authors at 6 institutions in 1 country.

Bruce H K DobkinDepartment of Neurology, Geffen School of Medicine, UCLA, 710 Westwood Plaza, Los Angeles, CA 90095. bdobkin@mednet.ucla.edu.
Stephen E Nadeau
Andrea L Behrman
Samuel S Wu
Dorian K Rose
Mark Bowden
Stephanie Studenski
Xiaomin Lu
Pamela W Duncan
University of Florida · USMedical University of South Carolina · USUniversity of California, Los Angeles · USUniversity of Louisville · USUniversity of Pittsburgh · USWake Forest University · US

Funding

University of Florida Older Americans Independence Center (OAIC)P30AG028740 · NIA · UNIVERSITY OF FLORIDA · PI CHRISTIAAN LEEUWENBURGH · 2007 to 2026
$22.8M
Locomotor Experience Applied Post-Stroke (LEAPS)R01NS050506 · NINDS · UNIVERSITY OF FLORIDA · PI DUNCAN, PAMELA W. · 2005 to 2009
$13.3M
fMRI Predictor Model for Stroke Locomotor RehabilitationR01HD046740 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DOBKIN, BRUCE H · 2005 to 2008
$1.6M
NRSA IN NEUROLOGICAL REHABILITATIONT32NS007479 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DOBKIN, BRUCE HARVEY · 1999 to 2003
$792k
Augmentation of Locomotor Adaptation Post-StrokeIK2RX000787 · VA · RALPH H JOHNSON VA MEDICAL CENTER · PI BOWDEN, MARK G. · 2015 to 2017
–
NIA NIH HHS P30 AG028740NICHD NIH HHS R01 HD046740NINDS NIH HHS R01 NS050506NINDS NIH HHS T32 NS007479RRD VA IK2 RX000787
6 · The paper itself

Abstract

The Locomotor Experience Applied Post Stroke rehabilitation trial found equivalent walking outcomes for body weight-supported treadmill plus overground walking practice versus home-based exercise that did not emphasize walking. From this large database, we examined several clinically important questions that provide insights into recovery of walking that may affect future trial designs. Using logistic regression analyses, we examined predictors of response based on a variety of walking speed-related outcomes and measures that captured disability, physical impairment, and quality of life. The most robust predictor was being closer at baseline to the primary outcome measure, which was the functional walking speed thresholds of 0.4 m/s (household walking) and 0.8 m/s (community walking). Regardless of baseline walking speed, a younger age and higher Berg Balance Scale score were relative predictors of responding, whether operationally defined by transitioning beyond each speed boundary or by a continuous change or a greater than median increase in walking speed. Of note, the cutoff values of 0.4 and 0.8 m/s had no particular significance compared with other walking speed changes despite their general use as descriptors of functional levels of walking. No evidence was found for any difference in predictors based on treatment group.

Indexed as

Activities of Daily LivingRecovery of FunctionStroke RehabilitationWalkingAdultAgedAged, 80 and overEmergency RespondersExercise TestExercise TherapyFemaleHumansLogistic ModelsMaleMiddle AgedOdds Ratiocommunity ambulationexercisefunctional walking levelgait speedLEAPSoutcome measuresphysical therapyquality of lifestroke rehabilitationwalking

Identifiers

PMID24805892
PMCPMC4374620
OpenAlexW2132543656

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.