The Assessment of the Autonomic Polyneuropathy Through Sudoscan and Vitamin B12 in Patients with Type 2 Diabetes Mellitus and High Cardiovascular Risk or Established Cardiovascular Disease
Bibliographic record
Abstract
Background: Diabetes Mellitus (DM) is frequently associated with diabetic peripheral neuropathy (DPN) and cardiovascular diseases (CVD). The aim of this study is to assess the relationship between DPN symptoms, vitamin B12 level, and autonomic neuropathy in DM patients with high and very high CV risk or established CVD. Material and Methods: A cross-sectional analysis of 164 patients from the Outpatient DM Department of Suceava County Hospital from September 2025 was performed. The clinical, paraclinical, and demographic data were collected, including Toronto Clinical Neuropathy Score (TCNS), Sudoscan, Orthostatic Hypotension (OH), and B12 level. Results: In total, 65.9% of patients had DPN; the mean HbA1c was 8.22% ± 1.74. No significant correlation was obtained between autonomic neuropathy (Sudoscan) and DPN severity (p = 0.163) or between vitamin B12 and DPN (p = 0.6). Vitamin B12 was associated with CV risk assessed with Sudosan (p = 0.04). OH had limited diagnostic significance for autonomic dysfunction. Conclusions: No strong link was detected between B12 levels and DPN; thus, it cannot be considered a predictive marker. Objective DPN screening remains essential. Sudoscan is practical and non-invasive in assessing autonomic neuropathy, but only when combined with TCNS may it increase the DPN screening and risk stratification in high-CV-risk populations with DM.
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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 | 0.000 | 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) | 0.001 | 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".