Evidence map›Paper›PMID 40323627›Full record

ArticleJournal of neurologic physical therapy : JNPT2025

Impact of Individual Factors on Exercise Dose During a Walking Intervention in People With Stroke.

Kiersten M McCartney, Ryan T Pohlig, Duncan Thibodeau Tulimieri, Pierce Boyne, Susanne M Morton, Darcy S Reisman

Abstract read
In one paragraph

Article in Journal of neurologic physical therapy : JNPT, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Trial
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.

Kiersten M McCartneyDepartment of Physical Therapy (K.M.M., S.M.M., D.S.R.), Biomechanics and Movement Science Program (K.M.M., S.M.M., D.S.R.), and Biostatistics Core (R.T.P), University of Delaware, Newark, Delaware; New Age Alpha, Rye, New York (D.T.); Department of Rehabilitation, Exercise Science and Nutrition Sciences, University of Cincinnati, Cincinnati, Ohio (P.B.).ORCID 0000-0002-6304-9763
Ryan T Pohlig
Duncan Thibodeau Tulimieri
Pierce Boyne
Susanne M Morton
Darcy S Reisman

Funding

Promoting Recovery Optimization with WALKing Exercise after Stroke (PROWALKS)R01HD086362 · NICHD · UNIVERSITY OF DELAWARE · PI REISMAN, DARCY S. · 2016 to 2020
$4.0M
PT/PHD Predoctoral Training Program Diversity SupplementT32HD007490 · NICHD · UNIVERSITY OF DELAWARE · PI DARCY S. REISMAN · 1996 to 2026
$3.7M
Building a data science workforce to improve the reproducibility of rehabilitation researchR25HD105583 · NICHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI David Nelson Kennedy, Sook-Lei Liew · 2022 to 2026
$812k
NICHD NIH HHS R01 HD086362NICHD NIH HHS R25 HD105583NICHD NIH HHS T32 HD007490
6 · The paper itself

Abstract

BACKGROUND AND

objectiveThere has been a substantial increase in the number of studies demonstrating improvements in walking capacity in people with chronic stroke following moderate-to-high intensity walking exercise interventions. Yet, there is significant variability in response to these interventions. This is likely due to the heterogeneity in this population and the variability in the exercise dose parameters actually attained within these walking interventions. Exercise prescription can be optimized by understanding how individual variables impact walking exercise dose. This study leveraged a large, clinical dataset to classify people with chronic stroke into homogeneous groups (called classes) and compare classes on the walking exercise dose achieved in a walking intervention.

methodsOne hundred sixty-nine people with chronic (>6-Months) stroke completed clinical evaluations and a 12-week high-intensity treadmill intervention. Baseline measures of walking capacity, physical health, and psychosocial factors were used in a latent variable mixture model to assess if latent, homogeneous classes existed within the dataset. Objective criteria determined the optimal number of classes, which were compared to the walking exercise dose attained across the intervention.

resultsFour homogeneous classes were distinguished by differences in baseline walking capacity, steps-per-day, comorbidity burden, and balance self-efficacy. Despite clear "clinical profiles" of people with chronic stroke, these classes did not differ on the walking exercise dose attained. DISCUSSION AND

conclusionsPrior literature and clinical intuition suggest individuals with lower baseline walking capacity, physical health, and self-efficacy are less likely to tolerate high-intensity exercise, however our results demonstrate this is not true for people with chronic stroke.Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content 1 available at: http://links.lww.com/JNPT/A524 .

Indexed as

Exercise TherapyStrokeStroke RehabilitationWalkingAgedFemaleHumansMaleMiddle Agedexerciserehabilitationstrokewalking intervention

Identifiers

PMID40323627
PMCPMC13046059

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.