Evidence-Based Stroke Rehabilitation: Case Analysis Using the International Classification of Functioning, Disability and Health Framework
Bibliographic record
Abstract
Purpose: The purpose of this case report is to provide an evidence-based analysis of the progress and outcomes of a patient undergoing stroke rehabilitation using the International Classification of Functioning, Disability and Health (ICF) as a clinical framework. The analysis involves a description of the anticipated motor recovery of this patient, based on retrospective and prospective studies, and a comparison of expected outcomes with actual outcomes. Methods: This case analysis involved a 62-year-old man who participated in 12 weeks of stroke rehabilitation after sustaining lacunar infarcts in the right basal ganglia and temporal lobe. Standardized outcome measures were used to document change in impairments in body functions and structures, activity limitations and participation restrictions over a one-year period. Contextual factors and baseline findings were used to predict the subject's functional outcome based on the available literature. The actual outcome was then compared with the predicted outcome. Results: By using the available evidence, we predicted, with reasonable accuracy, the functional outcome of the patient. Conclusions: ICF is a useful framework for analyzing outcomes of stroke rehabilitation. Suggestions for future research are provided, based on the findings of this case.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".