Evidence map›Paper›PMID 24574343›Full record

ArticleDiabetes care2014

Heart rate-corrected QT interval is an independent predictor of all-cause and cardiovascular mortality in individuals with type 2 diabetes: the Diabetes Heart Study.

Amanda J Cox, Amir Azeem, Joseph Yeboah, Elsayed Z Soliman, Shivani R Aggarwal, Alain G Bertoni, J Jeffrey Carr, Barry I Freedman, David M Herrington, Donald W Bowden

Open access · hybridAbstract read
In one paragraph

Article in Diabetes care, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

53 citing papers in PubMed, 96 citations in OpenAlex.

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  15. The Challenges of Predicting Drug-Induced QTc Prolongation in Humans.Toxicological sciences : an official journal of the Society of Toxicology · 2022
    Review
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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

10 authors at 1 institution in 1 country.

Amanda J CoxCorresponding author: Donald W. Bowden, dbowden@wakehealth.edu.
Amir Azeem
Joseph Yeboah
Elsayed Z Soliman
Shivani R Aggarwal
Alain G Bertoni
J Jeffrey Carr
Barry I Freedman
David M Herrington
Donald W Bowden
Wake Forest University · US

Funding

WORKER PROTECTION AGAINST AIRBORNE INFLUENZA - A PILOT STUDYM01RR007122 · NCRR · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HUNDLEY, WILLIAM GREGORY · 1992 to 2010
$35.2M
CVD Epidemiology Training ProgramT32HL076132 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DAVID McLeod HERRINGTON · 2004 to 2026
$8.4M
Epidemiology of cardiovascular disease in diabetesR01HL067348 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BOWDEN, DONALD W · 2001 to 2004
$4.3M
Genetic Epidemiology of Cerebrovascular Disease and Cognition in DiabetesR01NS058700 · NINDS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BOWDEN, DONALD W · 2008 to 2012
$3.0M
Whole Genome Association Analysis of the Diabetes Heart StudyR01HL092301 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BOWDEN, DONALD W · 2010 to 2013
$2.7M
Genetics of Bone and Vascular Calcium in Type 2 DiabetesR01AR048797 · NIAMS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI CARR, JOHN JEFFREY · 2001 to 2004
$1.3M
Genetic Epidemiology of Vascular Calcified PlaqueF32HL085989 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI LEHTINEN, ALLISON · 2006 to 2008
$69k
NCRR NIH HHS M01 RR007122NCRR NIH HHS M01-RR-07122NHLBI NIH HHS 5T32-HL-076132NHLBI NIH HHS F32 HL085989NHLBI NIH HHS F32-HL-085989NHLBI NIH HHS R01 HL067348NHLBI NIH HHS R01 HL092301NHLBI NIH HHS R01-HL-67348NHLBI NIH HHS R01-HL-92301NHLBI NIH HHS T32 HL076132NIAMS NIH HHS R01 AR048797NIAMS NIH HHS R01-AR-48797NINDS NIH HHS R01 NS058700NINDS NIH HHS R01-NS-058700
6 · The paper itself

Abstract

objectiveHeart rate-corrected QT (QTc) interval is associated with mortality in the general population, but this association is less clear in individuals with type 2 diabetes. We assessed the association of QTc interval with all-cause and cardiovascular disease (CVD) mortality in the Diabetes Heart Study. RESEARCH DESIGN AND

methodsWe studied 1,020 participants with type 2 diabetes (83% European Americans; 55% women; mean age 61.4 years) who were free of atrial fibrillation, major ventricular conduction defects, and antiarrhythmic therapy at baseline. QT duration was automatically calculated from a standard 12-lead electrocardiogram (ECG). Following American Heart Association/American College of Cardiology Foundation recommendations, a linear scale was used to correct the QT for heart rate. Using Cox regression, risk was estimated per 1-SD increase in QTc interval as well as prolonged QTc interval (>450 ms) vs. normal QTc interval for mortality.

resultsAt baseline, the mean (SD) QTc duration was 414.9 ms (18.1), and 3.0% of participants had prolonged QTc. After a median follow-up time of 8.5 years (maximum follow-up time 13.9 years), 204 participants were deceased. In adjusted multivariate models, a 1-SD increase in QTc interval was associated with an 18% higher risk for all-cause mortality (hazard ratio 1.18 [95% CI 1.03-1.36]) and 29% increased risk for CVD mortality (1.29 [1.05-1.59]). Similar results were obtained when QTc interval was used as a categorical variable (prolonged vs. normal) (all-cause mortality 1.73 [0.95-3.15]; CVD mortality 2.86 [1.35-6.08]).

conclusionsHeart rate QTc interval is an independent predictor of all-cause and CVD mortality in this population with type 2 diabetes, suggesting that additional prognostic information may be available from this simple ECG measure.

Indexed as

Heart RateAdultArrhythmias, CardiacBrugada SyndromeCardiac Conduction System DiseaseCardiovascular DiseasesCause of DeathDiabetes Mellitus, Type 2ElectrocardiographyFemaleHeart Conduction SystemHumansIncidenceMaleMiddle AgedPrognosis

Identifiers

PMID24574343
PMCPMC4182905
OpenAlexW2154625912

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.