ArticleBMJ open diabetes research & care2022
Detection of sudomotor alterations evaluated by Sudoscan in patients with recently diagnosed type 2 diabetes.
Article in BMJ open diabetes research & care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02836808 (Validation of an Integrated Attention Model for Patients With Type 2 Diabetes), which is not on this map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Validation of an Integrated Attention Model for Patients With Type 2 Diabetes
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Pooled it
- Impact of glycemic variability on early detection of sudomotor dysfunction: Implications for early intervention and personalized treatment.Journal of diabetes investigation · 2026Article
- SudoscanJournal of diabetes and metabolic disorders · 2025Article
- Electrochemical skin conductance: a tool for risk stratification and early anticipation of diabetic foot ulcers.Frontiers in endocrinology · 2025Article
- Assessment of neuropathy subtypes in type 1 diabetes.BMJ open diabetes research & care · 2024Article
- Circadian-like patterns in electrochemical skin conductance measured from home-based devices: a retrospective study.Frontiers in neurology · 2023Article
- Validation of the Body ScanFrontiers in neurology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionDiabetic peripheral neuropathy (DPN) causes morbidity and affects the quality of life. Before diabetes diagnosis, neuropathic damage may be present. Sudoscan provides accurate measurement of the sudomotor function. This study aimed to assess the abnormalities detected by Sudoscan, offered estimates of DPN prevalence, and investigated the relationship between metabolic and clinical parameters. Additionally, we evaluated the diagnostic accuracy of the Sudoscan compared with monofilament and tuning fork tests for detecting DPN. RESEARCH DESIGN AND
methodsCross-sectional descriptive study including patients with type 2 diabetes for <5 years since diagnosis. We investigated the presence of DPN using a 128 Hz tuning fork test, the 10 g monofilament, and the sudomotor dysfunction in feet using Sudoscan. We compared patients with and without alterations in the Sudoscan. A logistic regression model analyzed variables independently associated with sudomotor dysfunction.
resultsFrom 2013 to 2020, 2243 patients were included, 55.1% women, age 51.8 years, and 17.1% with normal weight. Monofilament tests and/or tuning fork examination were abnormal in 29% (95% CI 0.23% to 0.27%) and 619 patients (27.6%, 0.25% to 0.29%) had sudomotor alterations. In logistic regression analysis, age (β=1.01, 0.005-1.02), diastolic blood pressure (β=0.98, 0.96-0.99), heart rate (β=1.01, 1.00-1.02), glucose (β=1.00, 1.00-1.03), albuminuria (β=1.001, 1.000-1.001), beta-blockers=1.98, 1.21-3.24) and fibrate use=0.61, 0.43-0.87) were associated with sudomotor dysfunction. The AUC (area under the curve) for Sudoscan was 0.495 (0.469-0.522), with sensitivity and specificity of 24% and 71%, respectively.
conclusionThe Sudoscan identified an important proportion of patients with dysfunction, allowing prompt intervention to decrease the risk for complications. TRIAL REGISTRATION NUMBER: NCT02836808.
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