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1. The effect of bariatric surgery on diabetes related foot complications among patients with type 2 diabetes: A systematic review.

2. Diminished levels of insulin-like growth factor-1 may be a risk factor for peripheral neuropathy in type 2 diabetes patients.

3. Cardiac autonomic neuropathy modified the association between obesity and hypoglycemia in type 2 diabetes.

4. Correlation between thyroid hormone sensitivity and diabetic peripheral neuropathy in euthyroid patients with type 2 diabetes mellitus.

5. Diabetic peripheral neuropathy based on Schwann cell injury: mechanisms of cell death regulation and therapeutic perspectives.

6. Artificial intelligence-based classification of cardiac autonomic neuropathy from retinal fundus images in patients with diabetes: The Silesia Diabetes Heart Study.

7. Autonomic neuropathy in dialysis patients - investigations with a new symptom score (COMPASS 31).

8. Polyunsaturated fatty acids and diabetic microvascular complications: a Mendelian randomization study.

9. Association between gut microbiota and diabetic microvascular complications: a two-sample Mendelian randomization study.

10. Correlation between plasma fibrinogen levels and microvascular complications in type 2 diabetes.

11. The Association of Smoking Status with Diabetic Microvascular Complications in Korean Patients with Type 2 Diabetes.

12. Circulating netrin-1 levels are reduced and related to corneal nerve fiber loss in patients with diabetic neuropathy.

13. Relationship between fibrosis-4 score and microvascular complications in patients with type 2 diabetes mellitus.

14. Quantification of lipoproteins by proton nuclear magnetic resonance spectroscopy ( 1 H-NMRS) improves the prediction of cardiac autonomic dysfunction in patients with type 1 diabetes.

15. Pathological evaluation of the pathogenesis of diabetes mellitus and diabetic peripheral neuropathy.

16. Association of white blood cell count to mean platelet volume ratio with type 2 diabetic peripheral neuropathy in a Chinese population: a cross-sectional study.

17. Effect of empagliflozin in peripheral diabetic neuropathy of patients with type 2 diabetes mellitus.

18. Different Types of Cell Death in Diabetic Neuropathy: A Focus on Mechanisms and Therapeutic Strategies.

19. Eleven neurology-related proteins measured in serum are positively correlated to the severity of diabetic neuropathy.

20. Assessment of neuropathy subtypes in type 1 diabetes.

21. Risk factors associated with the severity of overactive bladder among Syrian patients with type 2 diabetes.

22. Association between serum uric acid levels and diabetic peripheral neuropathy in type 2 diabetes: a systematic review and meta-analysis.

23. Evaluation of Microvascular Complications in Kidney Recipients With Posttransplant Diabetes Mellitus.

24. Diabetic microvascular complications and associated factors in patients with type 2 diabetes in Southern Ethiopia.

25. Growth Differentiation Factor 15 and Matrix Metalloproteinase 3 in Plasma as Biomarkers for Neuropathy and Nephropathy in Type 1 Diabetes.

26. Correlations between distal sensorimotor polyneuropathy and cardiovascular complications in diabetic patients in the North-Eastern region of Hungary.

27. Association of transketolase polymorphisms with diabetic polyneuropathy in the general population: The KORA F4 study.

28. Diabetic peripheral neuropathy and glycemic variability assessed by continuous glucose monitoring: A systematic review and meta-analysis.

29. HbA 1c and the risk of developing peripheral neuropathy in childhood-onset type 1 diabetes: A follow-up study over 3 decades.

30. Associations between multiple neurological biomarkers and distal sensorimotor polyneuropathy: KORA F4/FF4 study.

32. Association between phase angle and diabetic peripheral neuropathy in Type 2 diabetes patients.

33. Assessment of subclinical LV myocardial dysfunction in T2DM patients with diabetic peripheral neuropathy: a cardiovascular magnetic resonance study.

34. Correlation between islet α cell function and peripheral neuropathy in patients with type 2 diabetes mellitus.

35. MiR-503-5p alleviates peripheral neuropathy-induced neuropathic pain in T2DM mice by regulating SEPT9 to inhibit astrocyte activation.

36. Enteric neuropathy in diabetes: Implications for gastrointestinal function.

37. Correlation of serum Meteorin-like (Metrnl) level with type 2 diabetic peripheral neuropathy.

38. Diabetes-Related Macrovascular Complications Are Associated With an Increased Risk of Diabetic Microvascular Complications: A Prospective Study of 1518 Patients With Type 1 Diabetes and 20 802 Patients With Type 2 Diabetes in the UK Biobank.

39. Undiagnosed and Untreated Peripheral Complications of Diabetes: Findings from a Pilot Study on Diabetes-Related Foot Diseases (DFD) in Patients with Glycemic Disorders.

40. Exploring potential correlations between HLA class II and the risk of microvascular complications in Japanese patients with type 1 diabetes.

41. Association of sudomotor dysfunction with risk of diabetic retinopathy in patients with type 2 diabetes.

42. A review regarding the article 'Diabetic peripheral neuropathy is associated with diabetic kidney disease and cardiovascular disease: The silesia diabetes-heart project'.

43. Serum Spexin Level Is Negatively Associated With Peripheral Neuropathy and Sensory Pain in Type 2 Diabetes.

44. Association of Diabetic Peripheral Neuropathy with Micronutrients.

45. Impact of Gender on Chronic Complications in Participants With Type 2 Diabetes: Evidence From a Cross-Sectional Study.

46. Hyperbaric Lidocaine Aggravates Diabetic Neuropathic Pain by Targeting p38 MAPK/ERK and PINK1/Parkin-Mediated Mitophagy Signaling Pathway.

47. Estimated glucose disposal rate predicts the risk of diabetic peripheral neuropathy in type 2 diabetes: A 5-year follow-up study.

48. Glycemic Variability and the Risk of Diabetic Peripheral Neuropathy: A Meta-Analysis.

49. [Pathogenic Mechanisms of Diabetic Neuropathy].

50. Multi-feature, Chinese-Western medicine-integrated prediction model for diabetic peripheral neuropathy based on machine learning and SHAP.

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