Effects of Dysesthesia-Matched Transcutaneous Electrical Nerve Stimulation on Postural Control After Lumbar Spinal Stenosis Surgery: A Case Report
Bibliographic record
Abstract
Persistent plantar dysesthesia after lumbar spinal stenosis (LSS) surgery impairs balance and increases fall risk. A 70-year-old woman with bilateral plantar dysesthesia (numerical rating scale (NRS) 8/10) received dysesthesia-matched transcutaneous electrical nerve stimulation (DM-TENS; 80 Hz, 100 µs) twice daily from postoperative day (POD) 15 to 30 (15 sessions) in conjunction with standard rehabilitation. Clinical assessments (e.g., muscle strength, ambulation, and activities of daily living (ADLs)) were performed on POD 2, 14, and 30. Psychological and postural control assessments were conducted on POD 14 and 30. Dysesthesia improved (NRS 8→3), ADL performance (Canadian occupational performance measure) increased (3→8), psychological distress decreased (PCS 25→16; HADS 21→18), and functional ambulation category improved (3→5). Under eyes-closed conditions, sway-ellipse area, path length, and mean velocity decreased by 24.2%, 25.9%, and 25.8%, respectively. DM-TENS was associated with rapid relief of dysesthesia and objective improvements in postural control, suggesting its utility as an adjunctive therapy for persistent post-LSS dysesthesia and balance impairment.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".