Evidence map›Paper›PMID 23681273›Full record

ArticleHeart and vessels2014

Greater insulin resistance indicates decreased diurnal variation in the QT interval in patients with type 2 diabetes.

Kotoko Tanaka, Kenji Yodogawa, Takuya Ono, Kazuo Yana, Masaaki Miyamoto, Hirotsugu Atarashi, Takao Kato, Kyoichi Mizuno

Abstract read
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In one paragraph

Article in Heart and vessels, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Kotoko TanakaDivision of Cardiology, Hepatology, Geriatrics and Integrated Medicine, Department of Medicine, Nippon Medical School, 1-1-5 Sendagi, Bunkyo-ku, Tokyo, 113-8603, Japan.
Kenji Yodogawa
Takuya Ono
Kazuo Yana
Masaaki Miyamoto
Hirotsugu Atarashi
Takao Kato
Kyoichi Mizuno

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circadian variations in the QT interval (QT) and QT dispersion are decreased in patients with type 2 diabetes because of cardioneuropathy. Insulin resistance has been recently identified as an independent determinant of QT prolongation in normoglycemic women. However, the relationship between QT prolongation and the degree of insulin resistance as well as circadian variation remains unclear in diabetic patients. This study was designed to assess the relationship between insulin resistance and the circadian variation in QT measurements in patients with type 2 diabetes. In 14 patients with diabetes, QT, corrected QT (QTc), QT dispersion, QTc dispersion, and RR interval (RR) were analyzed using 12-lead Holter monitoring and commercial software. The degree of diurnal variation in each measurement was defined as the amplitude between the maximum and mean values on curves fitted using the mean cosinor method (A_QT, A_QTc, A_QT dispersion, A_QTc dispersion, and A_RR). The cosine curve was fitted to all measured values in each QT measurement and RR for 24 h. Insulin resistance (glucose infusion rate (GIR)) was measured using the euglycemic hyperinsulinemic glucose clamp method. The maximum QT, QTc, QT dispersion, and QTc dispersion were >450 ms. GIR was significantly correlated with A_QT only (r = 0.59, P < 0.05). GIR was not correlated with other variables, and was dependent only on the circadian variation in QT.

Indexed as

Circadian RhythmHeart RateInsulin ResistanceAgedArrhythmias, CardiacBiomarkersBlood GlucoseDiabetes Mellitus, Type 2Electrocardiography, AmbulatoryFemaleHumansMaleMiddle AgedRisk FactorsTime FactorsBiomarkersBlood Glucose

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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.