Effect of intensive neuromuscular electrical stimulation on chronic neck pain: A case report
Bibliographic record
Abstract
© Nova Science Publishers, Inc. Chronic neck pain is a relatively common problem that can interfere with daily activities, and it is often experienced following musculoskeletal injuries. To identify the impact of intensive neuromuscular electrical stimulation (INES) for reducing chronic neck pain in a 21-year-old female athlete, following a traumatic sports injury, which occurred two years earlier. A treatment package including three separate sessions of intensive neuromuscular electrical stimulation and exercise therapy were prescribed. Outcomes measurements were short form McGill pain questionnaire (SF-MPQ), visual analogue scale (VAS), and the neck disability index (NDI). Measurements were performed at baseline, following the intervention, and three months later. Following our intervention; VAS score decreased from 6/10 to 3/10, and 1/10 after three months; and NDI decreased from 54/100 to 18/100, and 10/100 after three months. A combination of INES and resistance training significantly reduced neck pain after three months in a female gymnast. Further research is required to determine the effectiveness of this combination of treatments in larger cohorts with more diffuse musculoskeletal conditions.
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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) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.008 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".