ArticleMedical science monitor : international medical journal of experimental and clinical research2023
Analysis of Factors Related to Type 2 Diabetic Peripheral Neuropathy Based on Flash Glucose Monitoring System.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.
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Who cites it
4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.
- The association between the triglyceride-glucose index and diabetic peripheral neuropathy: a systematic review and meta-analysis.Frontiers in endocrinology · 2026Pooled it
- The association between smoking and diabetic neuropathy: a systematic review and meta-analysis.Systematic reviews · 2025Pooled it
- Guidelines and consensus: Jejunoileostomy for diabetes mellitus-surgical norms and expert consensus (2023 version).World journal of diabetes · 2024Review
- Potential Benefits of Continuous Glucose Monitoring for Predicting Vascular Outcomes in Type 2 Diabetes: A Rapid Review of Primary Research.Healthcare (Basel, Switzerland) · 2024Review
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Abstract
BACKGROUND Diabetes peripheral neuropathy is one of the common and serious microvascular complications of type 2 diabetes, which seriously affects the quality of life of patients. Because there is no effective clinical treatment to delay or reverse the progress of DPN. Therefore, early and effective control of the risk factors of DPN is of great significance to prevent the occurrence of DPN and improve the clinical prognosis.The objective of this study was to evaluate factors associated with peripheral neuropathy (DPN) in type 2 diabetes mellitus (T2DM) by flash glucose monitoring (FGM) using a retrospective clinical study. MATERIAL AND METHODS 325 T2DM patients diagnosed and treated in Chu Hsien-I Memorial Hospital of Tianjin Medical University from February 2020 to May 2021.All patients wear FGM continuously for 14 days. According to whether diabetic peripheral neuropathy (DPN) occurs, the patients were divided into DPN group (n=150) and non-DPN group (n=175). By comparing the clinical data, biochemical indicators and blood glucose fluctuation data of the two groups, the risk factors affecting DPN were analyzed. RESULTS Spearman correlation analysis showed that smoking, diabetes course, FBG, 2hPG, HbA1c, HOMA-IR, MBG, CV, SD, MAGE, MODD, TAR were positively, TIR was negatively associated with DPN. Multivariate logistic regression analysis showed that smoking (OR=4.235, 95% CI: 2.151-8.339, P=0.000), diabetes course (OR=1.103, 95% CI: 1.028-1.185, P=0.007), HOMA-IR (OR=1.366, 95% CI: 1.093-1.707, P=0.006), TIR (OR=0.915, 95% CI: 0.853-0.982, P=0.014) were related factors of DPN. CONCLUSIONS Smoking, diabetes course, HOMA-IR and TIR were related factors of type 2 diabetic peripheral neuropathy.
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