Functional electrical stimulation reduces pain and shoulder subluxation in chronic post-stroke patients?
Bibliographic record
Abstract
Background: Shoulder subluxation is a common complication of cerebral vascular accident (stroke) and the use of Functional Electrical Stimulation (FES) within the rehabilitation process is extremely important. Objective: To analyze the therapeutic effects of FES in the treatment of chronic shoulder subluxation in post-stroke patients. Method: This is a case study of patients with radiologically subluxation confirmed, who were randomly divided into two groups: Control Group (CG) and Treatment Group (TG). Patients were assessed before and after treatment and at the 2-month follow-up. The assessment consisted of the modified Ashworth scale; passive goniometry; Fugl-Meyer scale; McGill pain questionnaire and evaluation of shoulder subluxation by radiography. The CG did not receive physiotherapeutic intervention; and TG underwent 20 sessions of motor kinesiotherapy and FES associated with functional exercises with a total duration of 1 hour, three times a week, for 7 weeks. The data were analyzed descriptively. Results: The mean age of CG participants was 82.5 ± 1.5 years and of the TG was 70.5 ± 13.5 years. All of them were retired, sedentary, non-smokers/alcoholics and had hemiparesis on the left side. There was an approximate increase of 10o for most joint movements of the shoulder, improvement in McGill scale scores and reduction of shoulder subluxation in TG patients. Conclusion: FES associated with functional movements was effective in reducing the degree of subluxation of the shoulder joint and decreased pain in subjectsin the chronic phase of the post-stroke.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".