Trial reportPhysical therapy2025
Matching Clinical Profiles With Interventions to Optimize Daily Stepping in People With Stroke.
Trial report in Physical therapy, 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.
What it found
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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.
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.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Exploring psychosocial barriers in digital walking interventions for the chronically ill: a scoping review.Frontiers in psychology · 2026Pooled it
- Neurorehabilitation in the 21st Century: New Science, New Strategies, New Expectations.Neurorehabilitation and neural repair · 2026Review
Corrections and comments
- Update of
Authors and funding
5 authors.
Funding
Abstract
importanceIndividualizing interventions is imperative to optimize step-activity in people with chronic stroke.
objectiveThe objective was to group individuals with chronic stroke into clinical profiles based on baseline characteristics and examine if these profiles preferentially benefitted from a specific intervention to improve daily step-activity.
designThis is a secondary analysis of a randomized control trial.
settingThe parent study occurred at 4 outpatient rehabilitation clinics.
participantsParticipants had strokes ≥6 months prior to enrollment, were 21 to 85 years old, had walking speeds of 0.3 to 1.0 meters per second, and took <8000 steps-per-day.
interventionsParticipants were randomized to high-intensity treadmill training (FAST), a step-activity behavioral intervention (SAM), or a combined intervention (FAST+SAM). MAIN OUTCOME(S): The primary outcome was the interaction of latent class (clinical profile) and intervention group (FAST, SAM, FAST+SAM) on a change in steps-per-day. Key clinical characteristics to identify the latent classes included walking speed, walking endurance, balance self-efficacy, cognition, and area deprivation.
resultsOf the 190 participants with complete pre- and post-intervention data (mean [SD] age, 64 [12] years; 93 females [48.9%]), 3 distinct profiles of people with chronic stroke were identified. Class 1 had the lowest walking capacity (speed and endurance), lowest balance self-efficacy, and highest area deprivation, and the greatest change in step-activity when enrolled in SAM (mean = 1624, 95% CI = 426-2821) or FAST+SAM (mean = 1150, 95% CI = 723-1577]). Class 2 had walking capacity, baseline steps-per-day, and self-efficacy values between Class 1 and 3, and had the greatest change in step-activity when enrolled in SAM (mean = 2002, 95% CI = 1193-2811). Class 3 had the highest walking capacity, highest self-efficacy, and lowest area deprivation and the greatest change in step-activity when enrolled in FAST+SAM (mean = 1532, 95% CI = 915-2150).
conclusionsPeople with chronic stroke require different interventions to optimize changes in step-activity. RELEVANCE: Clinicians can use clinically relevant measures to personalize intervention selection to augment step-activity in people with chronic stroke.
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