Case Report: Lower Extremity Paresthesia and Pain with Diabetic Polyneuropathy Combated with Complex Korean Medical Treatment
Bibliographic record
Abstract
Background: Diabetic polyneuropathy is the most common complication in diabetics, occurring in 50% of all cases. About 10-20% of all diabetics are accompanied by neurological pain, showing a tendency to increase with age. Clinical aspects are very diverse, from mild abnormalities on nerve conduction tests to severe abnormalities in all sensory, motor, and autonomic nerves; however, sensory symptoms usually precede motor symptoms. Patients typically express sensory symptoms, such as positive and negative symptoms, which decrease the quality of life and have marked clinical implications, such as increased morbidity and mortality. Although Western medical drugs, such as tricyclic antidepressants, anticonvulsants, and narcotic analgesics, are used for diabetic polyneuropathy, a standard treatment has not been established.Case report: A 65-year-old male with paresthesia and pain due to diabetic polyneuropathy was treated with <i>Uchashinki-hwan</i>, acupuncture, electroacupuncture, moxibustion, and Jungsongouhyul pharmacopuncture for 10 days. We used the Toronto Clinical Neuropathy Scoring System, EuroQol-5 Dimension, and Visual Analog Scale to evaluate symptoms. Subsequently, the Neuropathy Scoring System, EuroQol-5 Dimension, and subjective discomfort improved.Conclusion: The present case report suggests that combined Korean medicine treatment might be an effective treatment for paresthesia and pain with diabetic polyneuropathy. Several follow-up studies should be conducted to clarify the effectiveness of the treatment.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".