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Machine learning in diagnosing diabetic peripheral neuropathy and lower extremity arterial disease

Machine learning in diagnosing diabetic peripheral neuropathy and lower extremity arterial disease

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400087019
Enrollment
Unknown
Registered
2024-07-17
Start date
2023-09-13
Completion date
Unknown
Last updated
2024-07-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

diabetic peripheral neuropathy and lower extremity arterial disease

Interventions

Diabetic group with neuropathy:None
Diabetic group without neuropathy:None
Diabetic group with lower extremity arterial disease:None
Diabetic group without lower extremity arterial disease:None

Sponsors

Tongji Hospital of Tongji University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
20 Years to 90 Years

Inclusion criteria

Inclusion criteria: 1. age = 18 years; 2. diabetic patients; 3. having the results of electromyography and lower limb vascular ultrasound examinations

Exclusion criteria

Exclusion criteria: 1. Neuropathies caused by other reasons, such as neurotoxic drugs, vitamin B12 deficiency, neuropathies due to cervical/lumbar spine diseases, chronic inflammatory demyelinating diseases, hereditary neuropathies, and vasculitis; 2. Acute complications of diabetes, including diabetic ketoacidosis and hyperosmolar hyperglycemic state; 3. Infectious diseases; 4. Malignant tumors

Design outcomes

Primary

MeasureTime frame
Routine blood indicators;Routine biochemical parameters;electromyography examination;Lower limb vascular ultrasound;Neutrophil to lymphocyte ratio;urinary albumin;urine creatinine;carotid artery ultrasound;—

Countries

China

Contacts

Public ContactYang Liu

Tongji Hospital of Tongji University

25936615@qq.com+86 138 1686 1813

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 6, 2026