Effect of vitamin D replacement on cardiometabolic risk factors and electrophysiological pattern of peripheral neuropathy in vitamin D-insufficient or deficient type 2 diabetic patients
Bibliographic record
Abstract
Abstract Background Diabetic neuropathy is one of the commonest chronic complications of diabetes seen in routine healthcare and considered the most common cause of peripheral neuropathy all over the world. Vitamin D (VD) deficiency is now recognized as a pandemic disease. This study was designed to explore the levels of 25-hydroxycholecalciferol [25(OH) D] in patients with type 2 diabetes mellitus (T2DM) with peripheral neuropathy. We also aimed to clarify the effect of VD supplementation on cardiometabolic status and electrophysiological pattern of peripheral neuropathy. Patients and methods This clinical trial enrolled 95 patients with T2DM with peripheral neuropathy. The enrolled patients were divided into three groups according to serum 25(OH) D levels. VD deficiency and insufficiency groups received VD supplements (42,000 IU oral VD per week and 500-mg calcium carbonate per day for 12 weeks). Clinical, electrophysiological pattern, and laboratory parameters were evaluated at baseline and after 12 weeks of intervention. Serum 25(OH) D levels were measured by using a competitive enzyme-linked immunosorbent assay kit. Results Our results revealed that, among 95 patients with T2DM with peripheral neuropathy, 32 patients had VD insufficiency [20 ng/ml <25(OH) D <30 ng/ml], 50 patients had VD deficiency [25(OH) D < 20 ng/ml], and 13 patients had VD sufficiency [25(OH) D >30 ng/ml]. Our results reported that 25(OH) D levels were negatively correlated with cardiometabolic risk factors and Toronto Clinical Scoring System. On the contrary, 25(OH) D levels were positively correlated with nerve conduction velocities (NCV). Stepwise multiple linear regression analysis revealed that glycated hemoglobin and Toronto Clinical Scoring System were the main predictors of 25(OH) D levels among other clinical and laboratory biomarkers. Logistic regression analysis observed that motor NCV and sensory NCV of median nerve and glycated hemoglobin were independent predictors of response to VD supplementation. NCV in studied groups showed that motor NCV and sensory NCV in the median, posterior tibial, and ulnar nerves were significantly decreased in both VD deficiency and insufficiency groups compared with VD sufficiency groups, and supplementation with 42 000 IU oral VD per week and 500-mg calcium carbonate per day for 12 weeks improved cardiometabolic risk factors and electrophysiological pattern of peripheral neuropathy. Conclusion The supplementation of VD for 12 weeks to VD deficiency and insufficiency groups improved the cardiometabolic and electrophysiological pattern of peripheral neuropathy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.000 | 0.000 |
| 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".