Evidence map›Paper›PMID 32769671›Full record

ArticleJournal of neurologic physical therapy : JNPT2020

Day-to-Day Variability of Walking Performance Measures in Individuals Poststroke and Individuals With Parkinson Disease.

Carey L Holleran, Marghuretta D Bland, Darcy S Reisman, Terry D Ellis, Gammon M Earhart, Catherine E Lang

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of neurologic physical therapy : JNPT, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Trial
  2. Development and clinical validation of a stroke-specific Gait Deviation Index.Journal of neuroengineering and rehabilitation · 2026
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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 at 1 institution in 1 country.

Carey L HolleranProgram in Physical Therapy (C.L.H., M.D.B., G.M.E., C.E.L.), Program in Occupational Therapy (M.D.B., C.E.L.), Department of Neurology (C.L.H., M.D.B., G.M.E., C.E.L.), and Department of Neuroscience (G.M.E.), Washington University School of Medicine, St Louis, Missouri; Department of Physical Therapy, University of Delaware, Newark (D.S.R.); and Department of Physical Therapy & Athletic Training, College of Health & Rehabilitation Sciences: Sargent, Boston University, Boston, Massachusetts (T.D.E.).
Marghuretta D Bland
Darcy S Reisman
Terry D Ellis
Gammon M Earhart
Catherine E Lang
Hesco (United States) · US

Funding

Translation of in-clinic Gains to Gains in Daily Life After StrokeR01HD068290 · NICHD · WASHINGTON UNIVERSITY · PI LANG, CATHERINE · 2012 to 2021
$4.0M
Translation of In-Clinic Gains to Gains in Daily LifeR37HD068290 · NICHD · WASHINGTON UNIVERSITY · PI Catherine Lang · 2022 to 2026
$2.7M
NICHD NIH HHS R01 HD068290NICHD NIH HHS R37 HD068290
6 · The paper itself

Abstract

background and purposeImprovement of walking performance is a primary goal for individuals poststroke or with Parkinson disease (PD) who receive physical therapy. More data about day-to-day variability of walking performance are critical for determining if changes in performance have occurred.

methodsBaseline assessments were utilized from an ongoing, observational, prospective cohort study including 84 individuals poststroke (n = 37) or with PD (n = 47) receiving outpatient physical therapy services to improve mobility. Participants wore step activity monitors for up to 7 days to measure walking performance (steps per day, walking duration, maximum 30-minute output, and peak activity index) in daily life. Correlation analyses evaluated relationships between both capacity and performance measures as well as the relationships between mean performance variables and day-to-day variability. Regression analyses explored factors that contribute to variability in day-to-day performance variables.

resultsMean steps per day for participants poststroke (5376 ± 2804) and with PD (8149 ± 4490) were consistent with previously reported cohorts. Greater amounts of walking were related to more day-to-day variability, with moderate correlations found between the mean and day-to-day variability of each performance measure, regardless of medical diagnosis or walking speed. Day-to-day variability is large (upwards of 50% of the mean), with the amount of walking performance serving as the primary predictor of day-to-day variability in walking performance. DISCUSSION AND

conclusionsThe results of this study elucidate the factors that are related to and predict day-to-day variability of performance. Walking performance metrics should be evaluated over multiple days and greater variability should be anticipated with greater amounts of performance.Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A319).

Indexed as

Parkinson DiseaseWalkingHumansProspective Studies

Identifiers

PMID32769671
PMCPMC7486249
OpenAlexW3047408436

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.