Evidence map›Paper›PMID 30298627›Full record

ArticleJournal of the American Geriatrics Society2019

Abnormal Fasting Glucose Increases Risk of Unrecognized Myocardial Infarctions in an Elderly Cohort.

Richard Brandon Stacey, Janice Zgibor, Paul E Leaverton, Douglas D Schocken, Jennifer A Peregoy, Mary F Lyles, Alain G Bertoni, Gregory L Burke

Open access · bronzeAbstract readEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the American Geriatrics Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Sex-Based Differences in Unrecognized Myocardial Infarction.Journal of the American Heart Association · 2020
    Article
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

8 authors at 3 institutions in 1 country.

Richard Brandon StaceySection on Cardiology, Department of Internal Medicine, School of Medicine, Wake Forest University, Winston-Salem, North Carolina.
Janice ZgiborDepartment of Epidemiology and Biostatistics, College of Public Health University of South Florida, Tampa, Florida.
Paul E LeavertonDepartment of Epidemiology and Biostatistics, College of Public Health University of South Florida, Tampa, Florida.
Douglas D SchockenDivision of Cardiology, Department of Medicine, Duke University Medical Center, Durham, North Carolina.
Jennifer A PeregoyDepartment of Epidemiology and Biostatistics, College of Public Health University of South Florida, Tampa, Florida.
Mary F LylesDepartments of Gerontology, School of Medicine Wake Forest University, Winston-Salem, North Carolina.
Alain G BertoniDepartment of Public Health Sciences, School of Medicine Wake Forest University, Winston-Salem, North Carolina.
Gregory L BurkeDepartment of Public Health Sciences, School of Medicine Wake Forest University, Winston-Salem, North Carolina.
Wake Forest University · USUniversity of South Florida · USDuke Medical Center · US

Funding

Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
CHS research resources for the cardiovascular health of older adultsU01HL130114 · NHLBI · UNIVERSITY OF WASHINGTON · PI BURKE, GREGORY L, KRONMAL, RICHARD A · 2016 to 2019
$6.6M
CHS Events Follow-up StudyU01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2005 to 2008
$4.6M
Microglial, Inflammatory and Omics Markers of Cerebral Small Vessel Disease in the CHARGE ConsortiumUH3NS100605 · NINDS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FORNAGE, MYRIAM, SESHADRI, SUDHA · 2018 to 2020
$3.0M
Role of EIIIA fibronectin in pulmonary fibrosisR01HL085083 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WHITE, ERIC S · 2007 to 2011
$1.9M
CORONARY HEART DISEASE &STROKE IN PEOPLE AGED 65-84N01HC085083 · HC · UNIVERSITY OF CALIFORNIA DAVIS · PI ROBBINS, JOHN A · 1988 to 1999
–
CHS-Transition Phase -268055222-268055222N01HC055222 · HC · UNIVERSITY OF WASHINGTON · PI KRONMAL, RICHARD A · 2005 to 2006
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CENTRAL BLOOD ANALYSIS LABORATORY FOR CHSN01HC085086 · HC · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI TRACY, RUSSELL P · 1988 to 2000
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CORONARY HEART DISEASE &STROKE IN PEOPLE AGED 65 TO 84N01HC085079 · HC · UNIVERSITY OF WASHINGTON · 1988 to 2005
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CORONARY HEART DISEASE &STROKE IN THE ELDERLYN01HC085080 · HC · WAKE FOREST UNIVERSITY · PI BURKE, GREGORY L · 1988 to 2000
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CORONARY HEART DISEASE &STROKE IN PEOPLE AGED 65-84N01HC085081 · HC · JOHNS HOPKINS UNIVERSITY · PI FRIED, LINDA P · 1988 to 2000
–
CORONARY HEART DISEASE AND STROKE IN PEOPLE AGED 65-84N01HC085082 · HC · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KULLER, LEWIS H · 1988 to 2000
–
NHLBI NIH HHS HHSN268200800007CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS HHSN268201800001CNHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085080NHLBI NIH HHS N01 HC085081NHLBI NIH HHS N01 HC085082NHLBI NIH HHS N01 HC085083NHLBI NIH HHS N01 HC085086NHLBI NIH HHS U01 HL080295NHLBI NIH HHS U01HL080295NHLBI NIH HHS U01 HL130114NIA NIH HHS R01 AG023629NIA NIH HHS R01AG023629NINDS NIH HHS UH3 NS100605
6 · The paper itself

Abstract

objectivesTo investigate glucose levels as a risk factor for unrecognized myocardial infarctions (UMIs).

designCohort

settingCardiovascular Health Study.

participantsIndividuals aged 65 and older with fasting glucose measurements (N=4,355; normal fasting glucose (NFG), n = 2,041; impaired fasting glucose (IFG), n = 1,706; DM: n = 608; 40% male, 84% white, mean age 72.4 ± 5.6). MEASUREMENTS: The relationship between glucose levels and UMI was examined. Participants with prior coronary heart disease (CHD) or UMI on initial electrocardiography were excluded. Using Minnesota codes, UMI was identified according to the presence of pathological Q-waves or minor Q-waves with ST-T abnormalities. Crude and adjusted hazard ratios (HRs) were calculated. Analyses were adjusted for age, sex, body mass index (BMI), hypertension, antihypertensive and lipid-lowering medication use, total cholesterol, high-density lipoprotein cholesterol, and smoking status.

resultsOver a mean follow-up of 6 years, there were 459 incident UMIs (NFG, n=202; IFG, n=183; DM, n=74). Participants with IFG were slightly more likely than those with NFG to experience a UMI (hazard ratio (HR)=1.11, 95% confidence interval (CI)=0.91-1.36, p = .30), and those with DM were more likely than those with NFG to experience a UMI (HR=1.65, 95% CI=1.25-2.13, p < .001). After adjustment HR for UMI in IFG those with IFG were no more likely than those with NFG to experience a UMI (HR=1.01, 95% CI=0.82-1.24, p = .93), whereas those with DM were more likely than those with NFG to experience a UMI (HR=1.37, 95% CI=1.02-1.81, p = .03). The 2-hour oral glucose tolerance test was not statistically significantly associated with UMI.

conclusionFasting glucose status, particularly in the diabetic range, forecasted UMI during 6 years of follow-up in elderly adults. Further studies are needed to clarify the level of glucose at which risk is greater. J Am Geriatr Soc 67:43-49, 2019.

Indexed as

AgedAged, 80 and overBlood GlucoseFastingFemaleFollow-Up StudiesGlucose Tolerance TestHumansMaleMyocardial InfarctionPrediabetic StateRisk FactorsBlood Glucoseelderlyelectrocardiographymyocardial infarction

Identifiers

PMID30298627
PMCPMC6346740
OpenAlexW2897015352

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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 Socratic graph.