Effects of vitamin D3 (cholecalciferol) supplementation on diabetic polyneuropathy in patients diagnosed with diabetes mellitus
Bibliographic record
Abstract
Abstract Introduction : Peripheral sensorimotor polyneuropathy is present in nearly half of the patients diagnosed with diabetes mellitus. Over the past 10 years, animal and human studies have suggested that vitamin D3 treatment may have a role in preventing or reducing neuropathic complaints and symptoms. Material and method : Our clinical, prospective, interventional, placebo-controlled study investigated the therapeutic effect of 2.000 IU oral cholecalciferol administered for three months on diabetic polyneuropathy. Patients treated with vitamin D and B, thioctic acid, and other analgesics were excluded. Using the single-blind technique, they were randomly assigned into vitamin D-treated and placebo-treated groups. In addition to recording anamnestic data, the study included - a Toronto Clinical Neuropathy Scoring System and Michigan Neuropathy Screening Instrument based - questionnaire to assess subjective symptoms and a physical examination including sensory tests (fine touch-, temperature awareness, pain-, vibration perception). Vitamin D levels were measured. After three months of therapy, the examination was repeated. Results : Most of the patients were found to have vitamin D deficiency (36% of the total population) or insufficiency (43%). In the cholecalciferol-treated group, but not in the control group, subjective symptoms decreased in intensity and/or frequency, and a significant improvement in the overall complaint scale was observed (p = 0.006), but no change regarding the sensory tests (p > 0.05). Conclusions : Our results show that oral administration of cholecalciferol for three months significantly reduced subjective symptoms and neuropathic pain as assessed by our questionnaire, however, there was no significant change in the results of the sensory tests. Vitamin D deficiency/insufficiency was common in diabetic patients (79% in our population), therefore screening is recommended.
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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 | 0.001 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".