Phase 2 Study of Acupuncture-Like Transcutaneous Nerve Stimulation for Chemotherapy-Induced Peripheral Neuropathy
Bibliographic record
Abstract
A prospective phase 2 study was conducted to evaluate the clinical utility of acupuncture-like transcutaneous nerve stimulation (ALTENS) for the treatment of chemotherapy-induced peripheral neuropathy (CIPN). Eligible cancer patients had a < 2 ECOG performance score, received neurotoxic chemotherapy, and developed CIPN symptoms for > two months. Randomization was used to eliminate bias in patient selection for ALTENS and was not to compare the effectiveness between the two treatments.ALTENS treatments were delivered using Codetron units. Bilateral acupuncture points included LI4 and LIV3, plus LI11 or ST36 were stimulated. Acupuncture treatments were administered to CV6, SP6, ST6, LI11, Bafeng, Baxie and selective Jing points bilaterally. Twelve treatments were delivered twice weekly over 6 to 8 weeks. The Modified Total Neuropathy Score (mTNS), Numbness Score, and Edmonton Symptom Assessment Score (ESAS) were assessed at baseline, treatment completion, plus at 3 and 6 months follow-up. The primary study endpoint was mTNS score at 6 months. We planned to recruit 23 patients into each group. After 30 patients were recruited, 2 were lost to follow-up at 3 months in the ALTENS group and 3 in the acupuncture group. The research team decided to recruit all remaining consecutive patients only to the ALTENS group to ensure an adequate evaluation of ALTENS, the primary object of evaluation. There were 27 patients in the ALTENS group, with an average symptom duration of 10 months after chemotherapy. Twenty four and 23 patients completed the 3 and 6 month follow-up respectively. The median mTNS scores were 7.1, 4.0, 3.6 and 3.1 at baseline, treatment completion, 3 and 6 months follow-up, respectively. One-way ANOVA analysis showed a significant improvement in mTNS scores (p<0.001) at 6 months. Numbness scores were also significantly improved at 6 months. ESAS pain scores and perception of well-being scores analyses were inconclusive. There were no significant reported side effects of ALTENS. There were only 13 patients in the acupuncture group and the number was insufficient for either an independent or a comparative analysis. The results of this study suggests that ALTENS significantly reduces the mTNS scores and numbness in patients suffering from CIPN symptoms.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".