EFFECT OF NON-ALCOHOLIC FATTY LIVER DISEASE ON THE COURSE OF DIABETIC POLYNEUROPATHY IN PATIENTS WITH TYPE 2 DIABETES MELLITUS
Bibliographic record
Abstract
OBJECTIVE: The aim: To study the peculiarities of diabetic polyneuropathy in patients with type 2 diabetes mellitus and concomitant NAFLD. PATIENTS AND METHODS: Materials and methods: We examined 75 patients with type 2 diabetes mellitus, including 31 (41.3%) women and 44 (58.7%) men. The main group included 35 patients with NAFLD (46.7%), and the control group included 40 patients without NAFLD (53.3%). The severity of polyneuropathy was assessed using the Toronto clinical neuropathy score. The presence of neuropathic pain syndrome in patients allowed us to divide patients into groups with painful or painless forms of diabetic polyneuropathy. The electroneuromyographic examination was used to study nerve conduction parameters, namely peroneal motor nerve conduction velocity (PMNCV), sensory nerve action potential (SNAP), and sensory nerve conduction velocity (SNCV). RESULTS: Results: The proportion of patients who did not have diabetic polyneuropathy in the NAFLD group was 12.5%, and in the group without NAFLD - 87.2%. The frequency of diabetic polyneuropathy was higher in the main group, namely: mild, moderate, and severe polyneuropathy was 80%, 56% and 59.3%, respectively, compared to the control group - 20%, 44%, 40.7% (p=0.02). The painful form of DPN was more common in patients of the main group than in the control group, respectively 69.8% and 30.2% (p=0.01). The degree of liver fibrosis did not affect the course of DPN. The study of nerve conduction by PMNCV, SNAP, and SNCV parameters showed that PMNCV was higher in the NAFLD group, and SNAP and SNCV - in the control group, but without statistical significance (p>0.05). CONCLUSION: Conclusions: In patients with type 2 diabetes mellitus, the presence of NAFLD affects the severity of diabetic polyneuropathy and increases the risk of painful DPN. The degree of liver fibrosis did not show an effect on the development of diabetic polyneuropathy. ENMG parameters did not demonstrate a statistically significant difference in the study groups.
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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 | 0.002 |
| 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) | 0.002 | 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".