Efficiency of alpha-lipoic acid and physical therapy in patients with diabetes polyuropathy
Bibliographic record
Abstract
Diabetic polyneuropathy is the most common microvascular complication of diabetes. Alpha-lipoic acid and physical therapy are used in the treatment of this progressive disease. Aim of this study was to assess the efficacy of combined use of alpha-lipoic acid and physical therapy in patients with diabetic polyneuropathy and identify the factors which lead to a better therapeutic response. The study included 95 patients with diabetic polyneuropathy who were parenterally treated with alpha-lipoic acid in combination with the kinesiotherapy, vacuum compression therapy, carbon dioxide therapy and galvanic baths. The Neuropathy Total Symptom Score-4-TSS-4 and the Toronto Clinical Scoring System (Toronto CSS) were used to evaluate the effectiveness of the therapy. After the applied therapeutic procedures, the values of both TSS-4 and Toronto CSS statistically significantly decreased (p <0.01). The duration of diabetes, duration of symptoms of polyneuropathy, the level of glycemic control and body mass index were not significantly correlated with the degree of reduction in TSS-4 (p> 0.05), while we found a statistically significant negative correlation between the value of TSS-4 before treatment and the degree of its reduction (p <0.05). The combined use of alpha-lipoic acid and physical therapy is effective in reducing subjective symptoms and signs of diabetic polineuropathy. Therapeutic response is better if symptoms of neuropathy are less pronounced. Long-term studies of the efficacy of alpha-lipoic acid and physical therapy are needed, as well as the identification of factors that could affect better therapeutic response.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".