ArticleScientific reports2024
Glycemic variability's impact on painful diabetic peripheral neuropathy in type 2 diabetes patients.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Machine learning in the prediction of diabetic peripheral neuropathy: a systematic review.BMC medical informatics and decision making · 2025Pooled it
- Antidiabetic Treatment Intensity and Diabetic Peripheral Neuropathy in a County-Level Metabolic Management Center: A Real-World Cross-Sectional Study.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026Article
- Exploring Meaning-Making and Identity Transformation Among Adults Living with Type 2 Diabetes in Saudi Arabia: A Hermeneutic Phenomenological Study.Healthcare (Basel, Switzerland) · 2026Article
- Clinical characteristics and associated factors of constipation patients with type 2 diabetes.Frontiers in endocrinology · 2026Article
- Development and validation of a risk prediction model for painful diabetic peripheral neuropathy in type 2 diabetes mellitus: a multicenter retrospective study.Frontiers in endocrinology · 2025Article
- A correlation study between blood glucose fluctuation and chronic pain in the older people with type 2 diabetes mellitus.BMC geriatrics · 2024Article
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5 authors.
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Abstract
Hyperglycemia in type 2 diabetes leads to diabetic peripheral neuropathy (DPN) and neuropathic pain, yet the association between glycemic variability and painful DPN remains insufficiently evidenced. To address this, we conducted a prospective longitudinal cohort study involving adult type 2 diabetes patients at a medical center. DPN was identified using the Michigan Neuropathy Screening Instrument (MNSI), and neuropathic pain was assessed with the Taiwan version of the Douleur Neuropathique 4 (DN4-T) questionnaire. At baseline in 2013, all participants were free of DPN and were re-evaluated in 2019 for the development of painful DPN. We measured visit-to-visit glycemic fluctuations using the coefficient of variation (CV) of fasting plasma glucose (FPG) and glycated hemoglobin (HbA1c). Patients were stratified into tertiles according to their FPG-CV and HbA1c-CV. Among the 622 participants, 267 developed DPN during the six-year follow-up. Following matching of age and sex, 210 patients without DPN and 210 with DPN (including 26 with neuropathic pain) were identified. Our findings revealed a significant association between high FPG-CV and painful DPN, with the highest tertile showing an adjusted odds ratio of 2.82 (95% confidence interval 1.04-7.64) compared to the lowest tertile. On the contrary, HbA1c-CV did not show a significant association with the risk of painful DPN. Our study indicates that higher FPG-CV is associated with an increased risk of painful DPN, supporting the role of glycemic variability in the development of painful DPN.
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