Evidence map›Paper›PMID 25149362›Full record

ArticleCirculation2014

Diabetes mellitus, prediabetes, and incidence of subclinical myocardial damage.

Elizabeth Selvin, Mariana Lazo, Yuan Chen, Lu Shen, Jonathan Rubin, John W McEvoy, Ron C Hoogeveen, A Richey Sharrett, Christie M Ballantyne, Josef Coresh

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Circulation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 3 pooled it
12.4field-weighted citation impact, top 1% 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

95 citing papers in PubMed, 3 syntheses or guidelines pooled it, 234 citations in OpenAlex.

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35 more citing papers are in PubMed but not listed here.

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.

Elizabeth SelvinFrom the Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (E.S., M.L., Y.C., L.S., J.W.M., A.R.S., J.C.); Division of General Internal Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD (E.S., M.L., J.R., J.C.); Department of Medicine, Baylor College of Medicine and Methodist DeBakey Heart and Vascular Center, Houston, TX (R.C.H., C.M.B.). eselvin@jhu.edu.
Mariana LazoFrom the Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (E.S., M.L., Y.C., L.S., J.W.M., A.R.S., J.C.); Division of General Internal Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD (E.S., M.L., J.R., J.C.); Department of Medicine, Baylor College of Medicine and Methodist DeBakey Heart and Vascular Center, Houston, TX (R.C.H., C.M.B.).
Yuan ChenFrom the Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (E.S., M.L., Y.C., L.S., J.W.M., A.R.S., J.C.); Division of General Internal Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD (E.S., M.L., J.R., J.C.); Department of Medicine, Baylor College of Medicine and Methodist DeBakey Heart and Vascular Center, Houston, TX (R.C.H., C.M.B.).
Lu ShenFrom the Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (E.S., M.L., Y.C., L.S., J.W.M., A.R.S., J.C.); Division of General Internal Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD (E.S., M.L., J.R., J.C.); Department of Medicine, Baylor College of Medicine and Methodist DeBakey Heart and Vascular Center, Houston, TX (R.C.H., C.M.B.).
Jonathan RubinFrom the Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (E.S., M.L., Y.C., L.S., J.W.M., A.R.S., J.C.); Division of General Internal Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD (E.S., M.L., J.R., J.C.); Department of Medicine, Baylor College of Medicine and Methodist DeBakey Heart and Vascular Center, Houston, TX (R.C.H., C.M.B.).
John W McEvoyFrom the Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (E.S., M.L., Y.C., L.S., J.W.M., A.R.S., J.C.); Division of General Internal Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD (E.S., M.L., J.R., J.C.); Department of Medicine, Baylor College of Medicine and Methodist DeBakey Heart and Vascular Center, Houston, TX (R.C.H., C.M.B.).
Ron C HoogeveenFrom the Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (E.S., M.L., Y.C., L.S., J.W.M., A.R.S., J.C.); Division of General Internal Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD (E.S., M.L., J.R., J.C.); Department of Medicine, Baylor College of Medicine and Methodist DeBakey Heart and Vascular Center, Houston, TX (R.C.H., C.M.B.).
A Richey SharrettFrom the Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (E.S., M.L., Y.C., L.S., J.W.M., A.R.S., J.C.); Division of General Internal Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD (E.S., M.L., J.R., J.C.); Department of Medicine, Baylor College of Medicine and Methodist DeBakey Heart and Vascular Center, Houston, TX (R.C.H., C.M.B.).
Christie M BallantyneFrom the Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (E.S., M.L., Y.C., L.S., J.W.M., A.R.S., J.C.); Division of General Internal Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD (E.S., M.L., J.R., J.C.); Department of Medicine, Baylor College of Medicine and Methodist DeBakey Heart and Vascular Center, Houston, TX (R.C.H., C.M.B.).
Josef CoreshFrom the Department of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (E.S., M.L., Y.C., L.S., J.W.M., A.R.S., J.C.); Division of General Internal Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD (E.S., M.L., J.R., J.C.); Department of Medicine, Baylor College of Medicine and Methodist DeBakey Heart and Vascular Center, Houston, TX (R.C.H., C.M.B.).
Johns Hopkins University · US

Funding

Diabetes and Prediabetes in Older Adults in ARICR01DK089174 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI SELVIN, ELIZABETH · 2011 to 2020
$6.4M
NHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100012CNIDDK NIH HHS R01 DK089174
6 · The paper itself

Abstract

backgroundPersons with prediabetes and diabetes mellitus are at high risk for cardiovascular events. However, the relationships of prediabetes and diabetes mellitus to the development of subclinical myocardial damage are unclear. METHODS AND

resultsWe measured cardiac troponin T with a highly sensitive assay (hs-cTnT) at 2 time points, 6 years apart, among 9051 participants of the community-based Atherosclerosis Risk in Communities Study with no diabetes mellitus, or prediabetes, and without cardiovascular disease including silent myocardial infarction by ECG. First, we examined the incidence of elevated hs-cTnT (≥14 ng/L) at 6 years of follow-up. Second, we examined clinical outcomes during the subsequent ≈14 years of follow-up among persons with and without incident elevations in hs-cTnT. Cumulative probabilities of elevated hs-cTnT at 6 years among persons with no diabetes mellitus, prediabetes, and diabetes mellitus were 3.7%, 6.4%, and 10.8%, respectively. Compared with normoglycemic persons, the adjusted relative risks for incident elevated hs-cTnT were 1.40 (95% CI, 1.08-1.80) for prediabetes and 2.47 (95% CI, 1.78-3.43) for diabetes mellitus. Persons with diabetes mellitus and incident elevations in hs-cTnT were at a substantially higher risk of heart failure (hazard ratio, 6.37 [95% CI, 4.27-9.51]), death (hazard ratio, 4.36 [95% CI, 3.14-6.07]), and coronary heart disease (hazard ratio, 3.84 [95% CI, 2.52-5.84]) compared with persons without diabetes mellitus and no incident elevation in hs-cTnT.

conclusionsPrediabetes and diabetes mellitus were independently associated with the development of subclinical myocardial damage, as assessed by hs-cTnT, and those persons with evidence of subclinical damage were at highest risk for clinical events. These results support a possible deleterious effect of hyperglycemia on the myocardium, possibly reflecting a microvascular cause.

Indexed as

Blood GlucoseCoronary Artery DiseaseDiabetes MellitusFemaleFollow-Up StudiesGlycated HemoglobinHeart FailureHumansIncidenceMaleMiddle AgedMyocardiumPrediabetic StateProportional Hazards ModelsRisk AssessmentRisk FactorsBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanTroponin Tbiological markersdiabetes mellitusepidemiologyprediabetic state

Identifiers

PMID25149362
PMCPMC4198442
OpenAlexW2154080381

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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.