Dual Effects of Body-Weight Supported Treadmill Training on Cardiovascular Fitness and Walking Ability Early After Stroke
Bibliographic record
Abstract
BACKGROUND: Body-weight-supported treadmill training (BWSTT) to train both fitness and ambulation has not been investigated. OBJECTIVE: To compare the effectiveness of BWSTT to dose-equivalent usual care (UC) in improving cardiovascular fitness and walking early after stroke. METHODS: Participants were randomly assigned to 1 of 2 interventions: BWSTT + UC or UC. All individuals participated in 60-minute physiotherapy sessions 5 times weekly as inpatients for 6 weeks and 3 times weekly as outpatients for another 6 weeks. Baseline, posttraining, 6-, and 12-month follow-up outcome measures were as follows: primary, fitness (peak oxygen consumption, VO2peak) and walking ability (6-Minute Walk Test [6MWT] and 10-m walk); secondary, Berg Balance Scale (BBS) and motor impairment (Chedoke-McMaster Stages of Recovery [CMSR] Leg and Foot). RESULTS: In all, 50 individuals (mean age, 60 ± 14 years; mean event-to-randomization, 23 ± 5 days; 29 men) participated. No adverse events occurred. BWSTT improved VO2peak by 30%, which was significantly greater than the 8% improvement observed for UC (P = .004 between groups). Similarly, there were significant Time × Group interactions for 6MWT and CMSR Foot, with BWSTT outperforming UC for gains in distance (P = .15; 48% vs. 19%, respectively) and stage (P = .01; 1.0 vs. 0.3, respectively). No group effect was seen for 10-m walk speed, BBS, or CMSR Leg, with both groups demonstrating significant gains. In general, gains observed were preserved for 12 months. CONCLUSIONS: BWSTT elicits greater improvements in cardiovascular fitness and walking endurance than UC in the subacute poststroke period. These gains are largely sustained for 1 year.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".