The Effects of Neuroscience-Based Sensorimotor Exercise Training Using Laser Pointer in Elderly with Chronic Knee Pain: Randomized Controlled Trial
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Bibliographic record
Abstract
Abstract Neuroscience-based sensorimotor exercise training using laser pointer (nbset) is a new aproach exercise training method. We aimed to investigate the effects of nbpet using laser pointer on different functional parameters. In this randomized controlled study, we recruited 19 ( 14 females, 5 males) participants with chronic knee pain. Participants were divided into two groups (experimental (n=12), control (n=7)). Joint position errors were evaluated with the joint position error assessment method, range of motion with a goniometer, kinesiophobia with the Tampa kinesiophobia scale, pain with the McGill pain scale, quality of life with the Older People Quality of Life questionnaire (OPQoL-brief), and mobility with the time up and go test. Both groups were included in the exercise program with proprioceptive exercise training for 2 sessions per week for 6 weeks. In addition, the experimental group was trained with nbset using laser pointer at the same time. We found significant differences between groups in terms of joint position error (horizontal p=0.026 and global p=0.012), quality of life (p=0.022) and mobility (p=0.005) in favor of the experimental group. Although there were improvements in the groups in terms of range of motion (p=0.261), kinesiophobia (p=0.098) and pain (p=0.446) scores, there was no significant difference between the groups. Nbset using laser pointer may reduce joint position error, improve quality of life and mobility in elderly with chronic knee pain. Long-term studies with large samples are needed to determine the effects on range of motion, kinesiophobia, and pain.
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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 | 0.010 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.003 |
| 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 it