ArticleJournal of diabetes investigation2021
Point-of-care nerve conduction device predicts the severity of diabetic polyneuropathy: A quantitative, but easy-to-use, prediction model.
Article in Journal of diabetes investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 24 citations in OpenAlex.
- Innovative strategies for diabetic peripheral neuropathy: From clinical management to emerging bioengineering solutions.Bioactive materials · 2026Review
- Therapeutic and Diagnostic Landscape of Diabetic Neuropathy: A Systematic Review of Clinical Studies.Cureus · 2026Review
- 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
- Article
- Simplified electrophysiological approach combining a point-of-care nerve conduction device and an electrocardiogram produces an accurate diagnosis of diabetic polyneuropathy.Journal of diabetes investigation · 2024Article
- Prevalence and characteristics of diabetic symmetric sensorimotor polyneuropathy in Japanese patients with type 2 diabetes: The Japan Diabetes Complication and its Prevention Prospective study (JDCP study 10).Journal of diabetes investigation · 2024Article
- Risk factors for the development of tinea pedis and onychomycosis: Real-world evidence from a single-podiatry center, large-scale database in Japan.The Journal of dermatology · 2024Article
- Assessment of the severity of diabetic polyneuropathy aids in predicting the risk of developing diabetic complications in patients with untreated diabetes.Frontiers in endocrinology · 2024Article
- Prevalence and characteristics of diabetic symmetric sensorimotor polyneuropathy in Japanese patients with type 2 diabetes: the Japan Diabetes Complication and its Prevention Prospective study (JDCP study 10).Diabetology international · 2024Article
- The impact of diabetic polyneuropathy on toe grip strength in patients with type 2 diabetes mellitus: a cross-sectional study.Journal of diabetes and metabolic disorders · 2023Article
- Diagnostic accuracy of the 5.07 monofilament test for diabetes polyneuropathy: influence of age, sex, neuropathic pain and neuropathy severity.BMJ open diabetes research & care · 2023Article
- Nerve conduction velocity is independently associated with bone mineral density in type 2 diabetes mellitus.Frontiers in endocrinology · 2023Article
- Association between Serum Biomarkers and Peripheral Neuropathy in Microscopic Polyangiitis.International journal of molecular sciences · 2022Article
- Article
- Association between sarcopenia and the severity of diabetic polyneuropathy assessed by nerve conduction studies in Japanese patients with type 2 diabetes mellitus.Journal of diabetes investigation · 2022Article
- Heart rate-corrected QT interval: A novel diagnostic biomarker for diabetic peripheral neuropathy.Journal of diabetes investigation · 2022Article
- Diabetes Distal Peripheral Neuropathy: Subtypes and Diagnostic and Screening Technologies.Journal of diabetes science and technology · 2022Review
- Updates in diabetic neuropathy: A call for new diagnostic and treatment approaches.Journal of diabetes investigation · 2022Article
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Authors and funding
19 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
AIMS/
introductionA gold standard in the diagnosis of diabetic polyneuropathy (DPN) is a nerve conduction study. However, as a nerve conduction study requires expensive equipment and well-trained technicians, it is largely avoided when diagnosing DPN in clinical settings. Here, we validated a novel diagnostic method for DPN using a point-of-care nerve conduction device as an alternative way of diagnosis using a standard electromyography system. MATERIALS AND
methodsWe used a multiple regression analysis to examine associations of nerve conduction parameters obtained from the device, DPNCheck™, with the severity of DPN categorized by the Baba classification among 375 participants with type 2 diabetes. A nerve conduction study using a conventional electromyography system was implemented to differentiate the severity in the Baba classification. The diagnostic properties of the device were evaluated using a receiver operating characteristic curve.
resultsA multiple regression model to predict the severity of DPN was generated using sural nerve conduction data obtained from the device as follows: the severity of DPN = 2.046 + 0.509 × ln(age [years]) - 0.033 × (nerve conduction velocity [m/s]) - 0.622 × ln(amplitude of sensory nerve action potential [µV]), r = 0.649. Using a cut-off value of 1.3065 in the model, moderate-to-severe DPN was effectively diagnosed (area under the receiver operating characteristic curve 0.871, sensitivity 70.1%, specificity 87.7%, positive predictive value 83.0%, negative predictive value 77.3%, positive likelihood ratio 5.67, negative likelihood ratio 0.34).
conclusionsNerve conduction parameters in the sural nerve acquired by the handheld device successfully predict the severity of DPN.
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