Evidence map›Paper›PMID 29615289›Full record

Observational studyNutrition, metabolism, and cardiovascular diseases : NMCD2018

Fasting and post-glucose load measures of insulin resistance and risk of incident atrial fibrillation: The Cardiovascular Health Study.

P K Garg, M L Biggs, R Kaplan, J R Kizer, S R Heckbert, K J Mukamal

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Nutrition, metabolism, and cardiovascular diseases : NMCD, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 22% 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, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Metabolic Inflexibility as a Pathogenic Basis for Atrial Fibrillation.International journal of molecular sciences · 2022
    Review
  7. Observational
  8. 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

6 authors at 4 institutions in 1 country.

P K GargDivision of Cardiology, University of Southern California Keck School of Medicine, Los Angeles, CA, USA. Electronic address: parveeng@med.usc.edu.
M L BiggsDepartment of Biostatistics, University of Washington, Seattle, WA, USA.
R KaplanDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
J R KizerDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA; Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA.
S R HeckbertDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
K J MukamalDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.
Albert Einstein College of Medicine · USUniversity of Washington · USBeth Israel Deaconess Medical Center · USUniversity of Southern California · 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
Cardiometabolic Outcomes in Multi-ethnic Physical Activity & Sedentary Behavior Study (COMPASS)R01HL136266 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KAPLAN, ROBERT C, MOSSAVAR-RAHMANI, YASMIN · 2017 to 2020
$3.1M
Epidemiology of IGF's and AgingR01AG031890 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI KAPLAN, ROBERT C · 2009 to 2012
$2.3M
Role of EIIIA fibronectin in pulmonary fibrosisR01HL085083 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WHITE, ERIC S · 2007 to 2011
$1.9M
CHS-Transition Phase -268055222-268055222N01HC055222 · HC · UNIVERSITY OF WASHINGTON · PI KRONMAL, RICHARD A · 2005 to 2006
–
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
–
CORONARY HEART DISEASE &STROKE IN THE ELDERLYN01HC085080 · HC · WAKE FOREST UNIVERSITY · PI BURKE, GREGORY L · 1988 to 2000
–
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 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 R01 HL136266NHLBI NIH HHS U01 HL080295NHLBI NIH HHS U01 HL130114NIA NIH HHS R01 AG023629NIA NIH HHS R01 AG031890
6 · The paper itself

Abstract

BACKGROUND AND

aimsExisting literature in individuals without diabetes has not demonstrated a relationship between IR and incident AF; however, data are limited and only fasting glucose measures of IR were assessed. We evaluated the relationship of both fasting and post-glucose load IR measures with the development of atrial fibrillation in nondiabetic older adults. METHODS AND

resultsAmong Cardiovascular Health Study participants, a population-based cohort of 5888 adults aged 65 years or older enrolled in two waves (1989-1990 and 1992-1993), those without prevalent AF or diabetes and with IR measures at baseline were followed for the development of AF, identified by follow-up visit electrocardiograms, hospital discharge diagnosis coding, or Medicare claims data, through 2014. Fasting IR was determined by the homeostatic model of insulin resistance (HOMA-IR) and post-glucose load IR was determined by the Gutt index. Cox proportional hazards models were used to determine the association of IR with risk of AF. Analyses included 3601 participants (41% men) with a mean age of 73 years. Over a median follow-up of 12.3 years, 1443 (40%) developed AF. After multivariate adjustment, neither HOMA-IR nor the Gutt index was associated with risk of developing AF [hazard ratios (95% confidence intervals): 0.96 (0.90, 1.03) for 1-SD increase in HOMA-IR and 1.03 (0.97, 1.10) for 1-SD decrease in the Gutt index].

conclusionsWe found no evidence of an association between either fasting or post-glucose load IR measures and incident AF.

Indexed as

Insulin ResistanceAgedAtrial FibrillationBiomarkersBlood GlucoseElectrocardiographyFastingFemaleGlucose Metabolism DisordersGlucose Tolerance TestHumansIncidenceLongitudinal StudiesMalePrognosisProspective StudiesBiomarkersBlood GlucoseAtrial FibrillationEpidemiologyInsulin resistance

Identifiers

PMID29615289
PMCPMC6151262
OpenAlexW2793357875

What OpenQuestion 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 OpenQuestion graph.