Treatment Interventions for the Paretic Upper Limb of Stroke Survivors: A Critical Review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Despite a threefold increase in treatment interventions studies during the past 10 years, "best practice" for the rehabilitation of the paretic upper limb is still unclear. This review aims to lessen uncertainty in the management of the poststroke upper limb. Two separate searches of the scientific literature from 1966-2001 yielded 333 articles. Three referees, using strict inclusion and exclusion criteria, selected 68 relevant references. Cohort studies, randomized control trials, and systematic reviews were critically appraised. Mean randomized control trial quality (n = 33) was 17.1/27 (SD = 5.2, 95% CI = 15.2-19.0, range = 6-26). Mean quality of cohort studies (n = 29) was 11.8/27 (SD = 3.8, 95% CI = 10.4-13.2, range = 4-19). Quantitative syntheses were done using the Z-statistic. This systematic review indicated that sensorimotor training; motor learning training that includes the use of imagery, electrical stimulation alone, or combined with biofeedback; and engaging the client in repetitive, novel tasks can be effective in reducing motor impairment after stroke. Furthermore, careful handling, electrical stimulation, movement with elevation, strapping, and the avoidance of overhead pulleys could effectively reduce or prevent pain in the paretic upper limb. Rehabilitation specialists can use this research synthesis to guide their selection of effective treatment techniques for persons with impairments after stroke.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| 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 it