Effect of TENS Versus Placebo on Walking Capacity in Patients With Lumbar Spinal Stenosis: A Protocol for a Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Lumbar spinal stenosis (LSS) is a growing health problem and a leading cause of disability and loss of independence in older adults. It is usually caused by age-related degenerative narrowing of the spinal canals leading to compression and ischemia of the spinal nerves and symptoms of neurogenic claudication. Limited walking ability is the dominant functional impairment caused by LSS. Animal studies suggest increased blood flow to the spinal nerves and spinal cord with superficial paraspinal electrical stimulation. The purpose of this study is to assess the effectiveness of paraspinal transcutaneous electrical nerve stimulation (TENS) applied while walking on walking ability in patients with LSS. METHODS/DESIGN: We propose to conduct a 2-arm double-blinded (participant and assessor) randomized controlled trial. We will recruit individuals who have limited walking ability due to degenerative LSS from hospital specialists, community physicians, and chiropractors located in the city of Toronto, Canada. Eligible consenting participants will be randomly assigned to either paraspinal TENS or placebo paraspinal TENS applied while walking. The primary outcome will be walking distance measured during a single self-paced walking test. We will calculate the differences in proportions among participants in both groups who achieve at least a 30% improvement in walking distance from baseline using Pearson χ (2) test with 95% confidence intervals. DISCUSSION: Effective nonoperative interventions for LSS are unknown. Interventions that can improve blood flow to the spinal nerves while walking may increase walking ability in this population. Transcutaneous electrical nerve stimulation is a low-cost intervention that may have the potential to achieve this objective. To our knowledge, this study will be the first clinical trial to assess the effects of TENS on walking ability of patients with LSS. TRIAL REGISTRATION: ClinicalTrials.gov ID: NCT02592642.
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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 | 0.026 | 0.031 |
| Meta-epidemiology (narrow) | 0.006 | 0.002 |
| Meta-epidemiology (broad) | 0.013 | 0.007 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.010 | 0.008 |
| Insufficient payload (model declined to judge) | 0.053 | 0.007 |
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".