Effect of locally applied vibration on pain reduction in patients with chronic low back pain: A pilot study
Bibliographic record
Abstract
Background: Locally applied vibration has been recently proposed as a treatment for pain relief. Objective: The aim of this study was to assess the effect of specific vibration therapy using the Redcord Stimula device on reduction of pain in patients with chronic low back pain. Methods: The study included 14 subjects aged 16-59 years. Pain was assessed at the baseline and after the therapy using the Short Form McGill Pain Questionnaire as well as with Oswestry Disability Index, pressure pain thresholds were recorded by a mechanical algometer. All subjects received 8 therapy sessions, each session consisting of 7 proprioceptive exercises adapted for use in the Redcord suspension system with the Redcord Stimula device. Results: After completing the therapy, a statistically significant reduction in the pain score was recorded in both questionnaires. The average values decreased by 8.8% (p = .001) in the Short Form McGill Pain Questionnaire and by 7.6% (p = .001) in the Oswestry Disability Index. Pain thresholds measured by an algometer showed statistically significant increase in 3 of 5 measured sites. Conclusions: The results of the study suggest that locally applied vibration may be a viable option for treatment of chronic pain.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".