Evidence map›Paper›PMID 29411305›Full record

Observational studyEndocrine2018

Association of glycaemic variability evaluated by continuous glucose monitoring with diabetic peripheral neuropathy in type 2 diabetic patients.

Yu-Ming Hu, Li-Hua Zhao, Xiu-Lin Zhang, Hong-Li Cai, Hai-Yan Huang, Feng Xu, Tong Chen, Xue-Qin Wang, Ai-Song Guo, Jian-An Li and 1 more

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Endocrine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  13. Analysis of Factors Related to Type 2 Diabetic Peripheral Neuropathy Based on Flash Glucose Monitoring System.Medical science monitor : international medical journal of experimental and clinical research · 2023
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  16. The Emerging Role of Continuous Glucose Monitoring in the Management of Diabetic Peripheral Neuropathy: A Narrative Review.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2022
    Review
  17. Significance of Glycemic Variability in Diabetes Mellitus.Internal medicine (Tokyo, Japan) · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Yu-Ming HuDepartment of Rehabilitation, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, 210029, Nanjing, China.
Li-Hua ZhaoDepartment of Endocrinology, The Second Affiliated Hospital of Nantong University, No. 6 North Hai-er-xiang Road, 226001, Nantong, China.
Xiu-Lin ZhangDepartment of Clinical Laboratory, The Second Affiliated Hospital of Nantong University, No. 6 North Hai-er-xiang Road, 226001, Nantong, China.
Hong-Li CaiDepartment of Geriatrics, The Second Affiliated Hospital of Nantong University, No. 6 North Hai-er-xiang Road, 226001, Nantong, China.
Hai-Yan HuangDepartment of Endocrinology, The Second Affiliated Hospital of Nantong University, No. 6 North Hai-er-xiang Road, 226001, Nantong, China.
Feng XuDepartment of Endocrinology, The Second Affiliated Hospital of Nantong University, No. 6 North Hai-er-xiang Road, 226001, Nantong, China.
Tong ChenDepartment of Clinical Laboratory, The Second Affiliated Hospital of Nantong University, No. 6 North Hai-er-xiang Road, 226001, Nantong, China.
Xue-Qin WangDepartment of Endocrinology, The Second Affiliated Hospital of Nantong University, No. 6 North Hai-er-xiang Road, 226001, Nantong, China.
Ai-Song GuoDepartment of Rehabilitation, The Affiliated Hospital of Nantong University, No. 20 Xishi Road, 226001, Nantong, China.
Jian-An LiDepartment of Rehabilitation, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, 210029, Nanjing, China. lijianan@carm.org.cn.
Jian-Bin SuDepartment of Endocrinology, The Second Affiliated Hospital of Nantong University, No. 6 North Hai-er-xiang Road, 226001, Nantong, China. sujbzjx@163.com.ORCID 0000-0002-2138-0263

Funding

Scientific and Educational Program for Prosperity of Health Care of Jiangsu QNRC2016408Scientific Research Program of Health and Planning Commission of Jiangsu H201553Scientific Research Program of Nantong HS2012028 and MS22015065
6 · The paper itself

Abstract

purposeDiabetic peripheral neuropathy (DPN), a common microvascular complication of diabetes, is linked to glycaemic derangements. Glycaemic variability, as a pattern of glycaemic derangements, is a key risk factor for diabetic complications. We investigated the association of glycaemic variability with DPN in a large-scale sample of type 2 diabetic patients.

methodsIn this cross-sectional study, we enrolled 982 type 2 diabetic patients who were screened for DPN and monitored by a continuous glucose monitoring (CGM) system between February 2011 and January 2017. Multiple glycaemic variability parameters, including the mean amplitude of glycaemic excursions (MAGE), mean of daily differences (MODD), standard deviation of glucose (SD), and 24-h mean glucose (24-h MG), were calculated from glucose profiles obtained from CGM. Other possible risks for DPN were also examined.

resultsOf the recruited type 2 diabetic patients, 20.1% (n = 197) presented with DPN, and these patients also had a higher MAGE, MODD, SD, and 24-h MG than patients without DPN (p < 0.001). Using univariate and multiple logistic regression analyses, MAGE and conventional risks including diabetic duration, HOMA-IR, and hemoglobin A1c (HbA1c) were found to be independent contributors to DPN, and the corresponding odds ratios (95% confidence interval) were 4.57 (3.48-6.01), 1.10 (1.03-1.17), 1.24 (1.09-1.41), and 1.33 (1.15-1.53), respectively. Receiver operating characteristic analysis indicated that the optimal MAGE cutoff value for predicting DPN was 4.60 mmol/L; the corresponding sensitivity was 64.47%, and the specificity was 75.54%.

conclusionsIn addition to conventional risks including diabetic duration, HOMA-IR and HbA1c, increased glycaemic variability assessed by MAGE is a significant independent contributor to DPN in type 2 diabetic patients.

Indexed as

AdultAgedBlood GlucoseBlood Glucose Self-MonitoringCross-Sectional StudiesDiabetes Mellitus, Type 2Diabetic NeuropathiesHumansLogistic ModelsMiddle AgedPeripheral Nervous System DiseasesROC CurveBlood GlucoseDiabetic peripheral neuropathyGlycaemic variabilityRisk factorType 2 diabetes

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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.