Efficacy of combined application of traditional Chinese medicine foot bath and mild moxibustion in the treatment o f limb pain in diabetic peripheral neuropathy patients
Bibliographic record
Abstract
Purpose: To determine the efficacy of the combination of traditional Chinese medicine (TCM) foot bath and mild moxibustion in the treatment of limb pain in patients with diabetic peripheral neuropathy (DPN).
 Methods: A total of 120 patients with symptoms of DPN-induced pain who were hospitalized at the Department of Endocrinology in the 903rd Hospital of PLA, from January 2020 to June 2021, were included in this study. They were randomly assigned to a study group and a control group, with 60 patients in each group. Patients in both groups received conventional treatments and nursing care, while those in study group were additionally treated with a combination of TCM foot bath and mild moxibustion. Treatment efficacy in the patients was evaluated using Short-Form McGill Pain Questionnaire (SF-MPQ), pain rating index (PRI), visual analogue scale (VAS), TCM symptom score (TCMSS), and Toronto Clinical Scoring System (TCSS).
 Results: Compared with control group, there were significant improvements in pain-related scores, namely, SF-MPQ, (p ˂ 0.05); PRI, (p < 0.01); VAS, (p < 0.05); as well as overall efficacy (p < 0.05). Similar improvements were also observed with regard to TCMSS (p < 0.001) and TCSS (p < 0.001) in the study group. However, there were no significant changes in Adjusted Diabetes Quality of Life (A-DQOL) score and blood glucose control in both groups.
 Conclusion: Relative to the conventional treatment for DPN, limb pain and disease score of patients are significantly reduced by the combination of TCM foot bath and mild moxibustion treatments. Further clinical trials would be required prior to application in clinical practice.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".