ArticleJournal of diabetes investigation2024
Simplified electrophysiological approach combining a point-of-care nerve conduction device and an electrocardiogram produces an accurate diagnosis of diabetic polyneuropathy.
Article in Journal of diabetes investigation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The trial behind it
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Who cites it
5 citing papers in PubMed, 4 citations in OpenAlex.
- Leaving no stone unturned from bench to bedside: Challenges and future perspectives in diabetic polyneuropathy.Journal of diabetes investigation · 2026Article
- Electrophysiological diagnosis using the coefficient of variation of R-R intervals and a point-of-care nerve conduction device is highly correlated to the diagnosis of diabetic polyneuropathy using conventional electromyographs.Journal of diabetes investigation · 2026Article
- Predicting diabetic retinopathy stages using a simple nerve conduction measuring device, DPNCheckFrontiers in clinical diabetes and healthcare · 2025Article
- Advanced supervised machine learning methods for precise diabetes mellitus prediction using feature selection.Frontiers in medicine · 2025Article
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Corrections and comments
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Authors and funding
19 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
AIMS/
introductionThis study aimed to investigate the diagnostic potential of two simplified tests, a point-of-care nerve conduction device (DPNCheck™) and a coefficient of variation of R-R intervals (CV MATERIALS AND
methodsInpatients with type 1 or type 2 diabetes (n = 167) were enrolled. The study population consisted of 101 men, with a mean age of 60.8 ± 14.8 years. DPN severity was assessed using traditional nerve conduction studies, and differentiated based on Baba's classification (BC). To examine the explanatory potential of variables in DPNCheck™ and CV
resultsBased on BC, 61 participants (36.5% of the total) were categorized as having DPN severity of stage 2 or more. The multiple regression analysis yielded a predictive formula with high predictive power for DPN diagnosis (estimated severity of DPN in BC = 2.258 - 0.026 × nerve conduction velocity [m/s] - 0.594 × ln[sensory nerve action potential amplitude (μV)] + 0.528In[age(years)] - 0.178 × ln[CV
conclusionsThese findings suggest that DPN diagnosis using DPNCheck™ and CV
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.