Modified Constraint-Induced Movement Therapy for Elderly Clients With Subacute Stroke
Bibliographic record
Abstract
A growing body of research, including evidence from numerous randomized controlled trials, suggests that constraint-induced movement therapy (CIMT) reduces impairment. The mean age of participants in most studies has been < 65 yr, even though most stroke survivors are older than that. We investigated the efficacy of a modified CIMT protocol on participation, activity, and impairment in a population of older adults experiencing subacute stroke. Using an interrupted time series design, 4 older adults (mean age = 82) were assessed before and after intervention. Although none of the participants adhered to the 6-hr per day self-practice aspect of the CIMT protocol, considerable improvements were noted in participation, as measured using the Canadian Occupational Performance Measure. Some improvements were also noted at the level of impairment and activity. This work accords with previous literature on CIMT and has important implications for the evolution of stroke rehabilitation in elderly people.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".