Acustim in the Treatment of Knee Osteoarthritis: A Single-Subject Research Design
Bibliographic record
Abstract
Purpose: Acustim provides a non-invasive means for controlling pain and restoring function. The following research question was addressed in this study: Does stimulation of specific acupuncture points via acustim reduce impairment and functional limitation among patients with knee osteoarthritis (OA)? Methods: A single-subject research design was employed and replicated across three subjects. Data were collected over two specified time periods, baseline and intervention, for measures of pain, stiffness and function (as assessed by two items on the Patient Specific Functional Scale). During the intervention phase, acustim was administered. Celeration lines and two standard deviation methods were used to analyze the data. In addition, the Lower Extremity Functional Scale (LEFS) was administered at three time points: prebaseline, pre-intervention and post-intervention. Results: During the intervention phase, pain and stiffness were considerably reduced in all subjects (. 228 mm on a visual analog scale). A clinically important difference in function (decrease of .9 points on the LEFS) was demonstrated for all subjects between pre-baseline and post-intervention. Conclusions: Acustim may be an effective treatment for knee OA. Given the ease with which acustim can be administered, this modality may be promising for treating other joints affected by OA.
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.
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 | 0.000 |
| 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".