Evidence map›Paper›PMID 41659342›Full record

ArticleFrontiers in endocrinology2025

Age rather than diabetes duration predicts the severity of sensory neuropathy in type 2 diabetes mellitus.

Áron T Kiss, Árpád Kézdi, Magdolna Békeffy, Csaba G Koós, Anna E Körei, Adrienn Menyhárt, Dóra M Balogh, Péter Kempler, Ádám Gy Tabák, Viktor J Horváth

Abstract read
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Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Áron T Kiss *Department of Medicine and Oncology, Semmelweis University, Budapest, Hungary.
Árpád Kézdi *Department of Medicine and Oncology, Semmelweis University, Budapest, Hungary.
Magdolna BékeffyDepartment of Medicine and Oncology, Semmelweis University, Budapest, Hungary.
Csaba G KoósBiatorbágy City Health Care Nonprofit Ltd. Specialist Clinic, Biatorbágy, Hungary.
Anna E KöreiDepartment of Medicine and Oncology, Semmelweis University, Budapest, Hungary.
Adrienn MenyhártDepartment of Medicine and Oncology, Semmelweis University, Budapest, Hungary.
Dóra M BaloghDepartment of Medicine and Oncology, Semmelweis University, Budapest, Hungary.
Péter KemplerDepartment of Medicine and Oncology, Semmelweis University, Budapest, Hungary.
Ádám Gy TabákDepartment of Medicine and Oncology, Semmelweis University, Budapest, Hungary.
Viktor J HorváthDepartment of Medicine and Oncology, Semmelweis University, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In patients with type 2 diabetes, factors beyond hyperglycemia may contribute to the development of sensory neuropathy. This study aimed to determine whether diabetes duration was the strongest predictor of prevalent sensory neuropathy and to compare the diagnostic performance of commonly used clinical screening methods. Materials and methods: A total of 711 patients with type 2 diabetes from the Budapest metropolitan area were assessed between 2016 and 2022 using routine sensory neuropathy screening tests (128-Hz tuning fork and 10-g monofilament). A brief standardized questionnaire was also administered to support neuropathy detection. Independent predictors of sensory neuropathy were identified using binary logistic regression models and interrater agreement between diagnostic methods was assessed with Cohen's kappa. Results: Agreement between diagnostic methods was only moderate (Cohen's kappa: 0.3-0.4). In the final adjusted models, age emerged as the only independent predictor of neuropathy detected by tuning fork testing (OR 1.04; 95% CI 1.02-1.06), whereas for the monofilament test, self-reported neuropathic symptoms remained independently associated. Consistent with this, positive responses to standardized symptom questions correlated with both diagnostic tests, supporting their clinical validity. Conclusion: The overlap between routinely applied clinical methods for detecting sensory neuropathy is limited. Our findings suggest that, in an aging population with type 2 diabetes, peripheral nerve damage identified by standard screening tools is more strongly associated with age than with diabetes duration when assessed by commonly used bedside screening tools. Prospective studies are warranted to better differentiate diabetic neuropathy from age-related nerve dysfunction.

Indexed as

Diabetes Mellitus, Type 2Diabetic NeuropathiesAgedAge FactorsFemaleHumansMaleMiddle AgedSeverity of Illness Indexageperipheral neuropathysensory testsymptomstype 2 diabetes

Identifiers

PMID41659342
PMCPMC12875899

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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.