Evidence map›Paper›PMID 40490678›Full record

Trial reportTopics in stroke rehabilitation2025

Is training speed an accurate predictor of who attains a minimal clinically important difference in the six-minute walk test in people with chronic stroke?

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

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Topics in stroke rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Kiersten M McCartneyDepartment of Physical Therapy, University of Delaware, Newark, DE, USA.ORCID 0000-0002-6304-9763
Pierce BoyneDepartment of Rehabilitation, Exercise and Nutrition Sciences, University of Cincinnati, Cincinnati, OH, USA.ORCID 0000-0003-3611-9057
Ryan T PohligBiostatistics Core, Epidemiology Department, University of Delaware, Newark, DE, USA.ORCID 0000-0002-8385-8218
Susanne M MortonDepartment of Physical Therapy, University of Delaware, Newark, DE, USA.ORCID 0000-0002-7545-2189
Darcy S ReismanDepartment of Physical Therapy, University of Delaware, Newark, DE, USA.ORCID 0000-0002-6546-0863

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

backgroundPeople with chronic stroke have significant impairments in their walking capacity. Minimal clinically important differences (MCIDs) can be used to interpret changes in patient outcomes following interventions. There is significant variability in the response to moderate-to-high walking interventions in people with chronic stroke. One reason for this response variability could be the lack of understanding of the threshold exercise dose needed to achieve an MCID.

objectivesThe purpose of this analysis was to determine the threshold of exercise training speed most predictive of a small (≥20 m) or moderate (≥50 m) clinically important difference in 6MWT in people with chronic stroke.

methodsParticipants with chronic stroke with a walking speed of 0.3-1.0 m/s were randomized into a 12-week (1) fast-walking training or (2) fast-walking training and step-activity monitoring intervention. This analysis included participants (

resultsReceiver operating characteristic curves analyzed whether training speed is predictive of attaining a clinically important difference in the 6MWT. Training speed had poor, non-significant accuracy of predicting a small (AUC [95% CI] = 0.584 [0.475-0.693],

conclusionsThe average walking training speed during this high-intensity walking intervention did not accurately predict which people with chronic stroke would attain a small or moderate clinically meaningful change in 6MWT distance.

Indexed as

Exercise TherapyMinimal Clinically Important DifferenceOutcome Assessment, Health CareStrokeStroke RehabilitationWalkingWalking SpeedWalk TestAgedChronic DiseaseFemaleHumansMaleMiddle Agedexercisehigh-intensityrehabilitationStrokewalkingwalking intervention

Identifiers

PMID40490678
PMCPMC12354332

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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.