Evidence map›Paper›PMID 28846720›Full record

ArticlePloS one2017

The association of long-term glycaemic variability versus sustained chronic hyperglycaemia with heart rate-corrected QT interval in patients with type 2 diabetes.

Jian-Bin Su, Xiao-Hua Yang, Xiu-Lin Zhang, Hong-Li Cai, Hai-Yan Huang, Li-Hua Zhao, Feng Xu, Tong Chen, Xing-Bo Cheng, Xue-Qin Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
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

14 citing papers in PubMed, 34 citations in OpenAlex.

  1. Trial
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  4. Dysglycemia and arrhythmias.World journal of diabetes · 2023
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  8. Observational
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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 at 2 institutions in 1 country.

Jian-Bin SuDepartment of Endocrinology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Xiao-Hua YangDepartment of Endocrinology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Xiu-Lin ZhangDepartment of Clinical Laboratory, The Second Affiliated Hospital of Nantong University, Nantong, China.
Hong-Li CaiDepartment of Geriatrics, The Second Affiliated Hospital of Nantong University, Nantong, China.
Hai-Yan HuangDepartment of Endocrinology, The Second Affiliated Hospital of Nantong University, Nantong, China.
Li-Hua ZhaoDepartment of Endocrinology, The Second Affiliated Hospital of Nantong University, Nantong, China.
Feng XuDepartment of Endocrinology, The Second Affiliated Hospital of Nantong University, Nantong, China.
Tong ChenDepartment of Clinical Laboratory, The Second Affiliated Hospital of Nantong University, Nantong, China.
Xing-Bo ChengDepartment of Endocrinology, The First Affiliated Hospital of Soochow University, Suzhou, China.ORCID http://orcid.org/0000-0003-3178-4138
Xue-Qin WangDepartment of Endocrinology, The Second Affiliated Hospital of Nantong University, Nantong, China.
Yan LuDepartment of Endocrinology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Nantong University · CNSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesProlonged heart rate-corrected QT(QTc) interval is related to ventricular arrhythmia and cardiovascular mortality, with considerably high prevalence of type 2 diabetes. Additionally, long-term glycaemic variability could be a significant risk factor for diabetic complications in addition to chronic hyperglycaemia. We compared the associations of long-term glycaemic variability versus sustained chronic hyperglycaemia with the QTc interval among type 2 diabetes patients.

methodsIn this cross-sectional study, 2904 type 2 diabetes patients were recruited who had undergone at least four fasting plasma glucose (FPG) and 2-hour postprandial plasma glucose (PPG) measurements (at least once for every 3 months, respectively) during the preceding year. Long-term glycaemic variabilities of FPG and 2-hour PPG were assessed by their standard deviations (SD-FPG and SD-PPG, respectively), and chronic fasting and postprandial hyperglycaemia were assessed by their means (M-FPG and M-PPG, respectively). HbA1c was also determined upon enrolment to assess current overall glycaemic control. QTc interval was estimated from resting 12-lead electrocardiograms, and more than 440 ms was considered abnormally prolonged.

resultsPatients with prolonged QTc interval (≥440 ms) had greater M-FPG, M-PPG, SD-PPG and HbA1c than those with normal QTc interval but comparable SD-FPG. QTc interval was correlated with M-FPG, M-PPG, SD-PPG and HbA1c (r = 0.133, 0.153, 0.245 and 0.207, respectively, p = 0.000) but not with SD-FPG (r = 0.024, p = 0.189). After adjusting for metabolic risk factors via multiple linear regression analysis, SD-PPG, M-PPG and HbA1c (t = 12.16, 2.69 and 10.16, respectively, p = 0.000) were the major independent contributors to the increased QTc interval. The proportion of prolonged QTc interval increased significantly from 10.9% to 14.2% to 26.6% for the first (T1) to second (T2) to third (T3) tertiles of SD-PPG. After adjusting via multiple logistic regression analysis, the odd ratios of prolonged QTc interval of the T2 and T3 versus the T1 of SD-PPG were 1.15 (95% CI, 0.82-1.60) and 2.62 (1.92-3.57), respectively.

conclusionsIncreased long-term variability of PPG is a strong independent risk factor for prolonged QTc interval in type 2 diabetes patients, in addition to long-term postprandial hyperglycaemia and current HbA1c.

Indexed as

AdultAgedBlood GlucoseCross-Sectional StudiesDiabetes Mellitus, Type 2ElectrocardiographyFemaleHeart Conduction SystemHeart RateHumansHyperglycemiaMiddle AgedPostprandial PeriodRisk FactorsBlood Glucose

Identifiers

PMID28846720
PMCPMC5573287
OpenAlexW2747308631

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.