ArticleDiabetes & metabolism journal2022
SUDOSCAN in Combination with the Michigan Neuropathy Screening Instrument Is an Effective Tool for Screening Diabetic Peripheral Neuropathy.
Article in Diabetes & metabolism journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Pooled it
- Screening practices for diabetic peripheral neuropathy in pediatric type 1 diabetes: a nationwide survey by the ISPED Diabetes Study Group.Acta diabetologica · 2026Article
- [Diabetic neuropathy and its relationship with quality of life in patients with type 2 diabetes].Atencion primaria · 2026Observational
- Article
- Sudomotor Dysfunction of Feet Is Associated with Cardiac Autonomic Neuropathy in Patients with Type 2 Diabetes: A Cross-Sectional Study.Medicina (Kaunas, Lithuania) · 2025Article
- Sudomotor Dysfunction as an Early Marker of Autonomic and Cardiovascular Risk in Diabetes: Insights from a Cross-Sectional Study Using SUDOSCAN.Biosensors · 2025Article
- SudoscanJournal of diabetes and metabolic disorders · 2025Article
- Effect of high-dose N-acetyl cysteine on the clinical outcome of patients with diabetic peripheral neuropathy: a randomized controlled study.Diabetology & metabolic syndrome · 2025Article
- Electrochemical skin conductance: a tool for risk stratification and early anticipation of diabetic foot ulcers.Frontiers in endocrinology · 2025Article
- Whether coagulation dysfunction influences the onset and progression of diabetic peripheral neuropathy: A multicenter study in middle-aged and aged patients with type 2 diabetes.CNS neuroscience & therapeutics · 2024Article
- Association of sudomotor dysfunction with risk of diabetic retinopathy in patients with type 2 diabetes.Endocrine · 2024Article
- Early detection of diabetic neuropathy based on health belief model: a scoping review.Frontiers in endocrinology · 2024Article
- From Sudoscan to bedside: theory, modalities, and application of electrochemical skin conductance in medical diagnostics.Frontiers in neuroanatomy · 2024Review
- Diagnostic Accuracy of Screening Tests for Diabetic Peripheral Neuropathy: An Umbrella Review.Journal of diabetes research · 2024Review
- Electrochemical Skin Conductance by Sudoscan in Non-Dialysis Chronic Kidney Disease Patients.Journal of clinical medicine · 2023Article
- Screening for diabetic peripheral neuropathy in resource-limited settings.Diabetology & metabolic syndrome · 2023Review
- Peripheral Neuropathy in Diabetes Mellitus: Pathogenetic Mechanisms and Diagnostic Options.International journal of molecular sciences · 2023Review
- Validation of the Body ScanFrontiers in neurology · 2023Article
- Detection of sudomotor alterations evaluated by Sudoscan in patients with recently diagnosed type 2 diabetes.BMJ open diabetes research & care · 2022Article
- The Presence of Clonal Hematopoiesis Is Negatively Associated with Diabetic Peripheral Neuropathy in Type 2 Diabetes.Endocrinology and metabolism (Seoul, Korea) · 2022Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundScreening for diabetic peripheral neuropathy (DPN) is important to prevent severe foot complication, but the detection rate of DPN is unsatisfactory. We investigated whether SUDOSCAN combined with Michigan Neuropathy Screening Instrument (MNSI) could be an effective tool for screening for DPN in people with type 2 diabetes mellitus (T2DM) in clinical practice.
methodsWe analysed the data for 144 people with T2DM without other cause of neuropathy. The presence of DPN was confirmed according to the Toronto Consensus criteria. Electrochemical skin conductance (ESC) of the feet was assessed using SUDOSCAN. We compared the discrimination power of following methods, MNSI only vs. SUDOSCAN only vs. MNSI plus SUDOSCAN vs. MNSI plus 10-g monofilament test.
resultsConfirmed DPN was detected in 27.8% of the participants. The optimal cut-off value of feet ESC to distinguish DPN was 56 μS. We made the DPN screening scores using the corresponding odds ratios for MNSI-Questionnaire, MNSI-Physical Examination, SUDOSCAN, and 10-g monofilament test. For distinguishing the presence of DPN, the MNSI plus SUDOSCAN model showed higher areas under the receiver operating characteristic curve (AUC) than MNSI only model (0.717 vs. 0.638, P=0.011), and SUDOSCAN only model or MNSI plus 10-g monofilament test showed comparable AUC with MNSI only model.
conclusionThe screening model for DPN that includes both MNSI and SUDOSCAN can detect DPN with acceptable discrimination power and it may be useful in Korean patients with T2DM.
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