ClinicalTrials.gov
public full text
Public Domain
The Early Intervention and Prevention of Diabetes Foot
Peripheral neuropathy is just assessed by determination of Vibration sensation, pressure sensation, superficial pain or temperature. The most commonly used technique for diagnosis of peripheral neuropathy is nervous conduction (NC) and electromyography (EMG). But EMG/NC is bothersome and techniques using electric currents to measure NC and needles to study muscle innervations are uncomfortable. Quantitative NeuroSensory Testing (QST) is essential in the evaluation of small-caliber A-delta and C-fibers, the primary transmitters of thermal and pain sensation. QST can demonstrate neurosensory abnormalities when it is non-invasive test, selective to small fibers despite negative EMG/NCV finding. The investigators predict QST can be used for the early diagnosis and follow-up of small-fiber neuropathy in diabetes patients. The investigators also predict the early evaluation of diabetes neuropathy with QST can reduce the diabetes patient progress to advance stage of DM foot or limb amputation.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Small-fiber Neuropathy in Chronic Kidney Disease#1112318
- Neuromuscular Electrical Stimulation For The Treatment of Diabetic Neuropathy#869870
- Validation of Ipswich Touch Test for Diabetic Peripheral Neuropathy Screening in Primary Care#881081
- The Evaluation of Safety and Efficacy of JWHGWT on Diabetic Neuropathy#832942
- A Randomized, Double-blind, Placebo- and Active-controlled Study of the Electric Current Effects of ABT-639 on the Spontaneous Activity of Pain Sensory Receptors in Patients With Diabetic Peripheral Neuropathy#842328
Record · ID 806318
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive