Evidence map›Paper›PMID 28452401›Full record

ArticleObesity (Silver Spring, Md.)2017

Pericardial fat volume and incident atrial fibrillation in the Multi-Ethnic Study of Atherosclerosis and Jackson Heart Study.

Susan R Heckbert, Kerri L Wiggins, Chad Blackshear, Yi Yang, Jingzhong Ding, Jiankang Liu, Barbara McKnight, Alvaro Alonso, Thomas R Austin, Emelia J Benjamin and 3 more

Abstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.9field-weighted citation impact, top 5% 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

29 citing papers in PubMed, 38 citations in OpenAlex.

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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

13 authors at 8 institutions in 1 country.

Susan R HeckbertDepartment of Epidemiology, University of Washington, Seattle, Washington, USA.
Kerri L WigginsDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Chad BlackshearDepartment of Data Science, University of Mississippi Medical Center, Jackson, Mississippi, USA.
Yi YangDepartment of Pharmacy Administration, University of Mississippi, University, Mississippi, USA.
Jingzhong DingDepartment of Gerontology and Geriatric Medicine, Wake Forest University, Winston-Salem, North Carolina, USA.
Jiankang LiuCardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Barbara McKnightDepartment of Biostatistics, University of Washington, Seattle, WA, USA.
Alvaro AlonsoDepartment of Epidemiology, Emory University, Atlanta, Georgia, USA.
Thomas R AustinDepartment of Epidemiology, University of Washington, Seattle, Washington, USA.
Emelia J BenjaminNational Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, Massachusetts, USA.
Lesley H CurtisDepartment of Medicine, Duke University, Durham, North Carolina, USA.
Nona SotoodehniaDepartment of Medicine, University of Washington, Seattle, Washington, USA.
Adolfo CorreaDepartment of Pharmacy Administration, University of Mississippi, University, Mississippi, USA.
University of Washington · USUniversity of Mississippi · USBrigham and Women's Hospital · USDuke University · USEmory University · USNational Heart Lung and Blood Institute · USUniversity of Mississippi Medical Center · USWake Forest University · US

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
IDENTIFICATION OF COMMON GENETIC VARIANTS FOR ATRIAL FIBRILLATION AND PR INTERVALR01HL092577 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI BENJAMIN, EMELIA J., ELLINOR, PATRICK THOMAS · 2009 to 2025
$20.6M
Atrial fibrillation burden, vascular disease of the brain and cardiac MRI in MESAR01HL127659 · NHLBI · UNIVERSITY OF WASHINGTON · PI HECKBERT, SUSAN R · 2015 to 2018
$7.4M
AFGen Consortium: Atrial Fibrillation Genomics to Functional AnalysesR01HL128914 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BENJAMIN, EMELIA J., ELLINOR, PATRICK THOMAS · 2015 to 2018
$3.1M
Genomics of Cardiac Electrical Activity and ArrhythmiaR01HL116747 · NHLBI · UNIVERSITY OF WASHINGTON · PI ARKING, DAN E, SOTOODEHNIA, NONA · 2013 to 2016
$2.8M
Genomics of Sudden Cardiac Arrest Among African AmericansR01HL111089 · NHLBI · UNIVERSITY OF WASHINGTON · PI SOTOODEHNIA, NONA · 2012 to 2015
$2.6M
Cigarette Smoke and Susceptibility to Influenza InfectionR01HL095163 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JASPERS, ILONA, NOAH, TERRY L · 2009 to 2013
$2.0M
Pericardial fat and subclinical and clinical measures of coronary heart diseaseR01HL085323 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DING, JINGZHONG · 2006 to 2009
$1.6M
Adjunctive Use of Apyrase to Fibrinolytic TherapyR44HL095169 · NHLBI · APT THERAPEUTICS, INC. · PI CHEN, RIDONG · 2012 to 2013
$1.3M
SUBCLINICAL CARDIOVASCULAR DISEASE STUDYN01HC095166 · HC · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI TRACY, RUSSELL P · 1999 to 2001
$758k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY-FIELD CENTERN01HC095162 · HC · JOHNS HOPKINS UNIVERSITY · PI SZKLO, MOYSES A · 1999 to 2000
$694k
American Heart Association-American Stroke Association 16EIA26410001NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NHLBI NIH HHS HHSN268201300046CNHLBI NIH HHS HHSN268201300047CNHLBI NIH HHS HHSN268201300048CNHLBI NIH HHS HHSN268201300049CNHLBI NIH HHS HHSN268201300050CNHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS R01 HL085323NHLBI NIH HHS R01 HL092577NHLBI NIH HHS R01 HL111089NHLBI NIH HHS R01 HL116747NHLBI NIH HHS R01 HL127659NHLBI NIH HHS R01 HL128914NHLBI NIH HHS R21 HL121348
6 · The paper itself

Abstract

objectiveTo determine whether greater pericardial fat volume would be associated with increased risk of incident atrial fibrillation (AF).

methodsIn the Multi-Ethnic Study of Atherosclerosis and Jackson Heart Study, pericardial fat volume was quantified by computed tomography. Incident AF was identified from discharge diagnosis codes, study electrocardiograms, and Medicare claims.

resultsAmong 7,991 participants, 40% were African American, 32% white, 18% Hispanic, and 10% Chinese American; mean age was 62 years; 55% were women. During an average of 10.0 years of follow-up in the Multi-Ethnic Study of Atherosclerosis and 4.5 years in the Jackson Heart Study, 756 incident AF cases were identified. After adjustment for age, sex, study, race/ethnicity, height, glucose status, systolic blood pressure, treated hypertension, and BMI, greater pericardial fat volume was associated with higher AF risk in Hispanics (hazard ratio 1.24 per SD, 95% confidence interval 1.05-1.46) but not overall (hazard ratio 1.06, 95% confidence interval 0.97-1.15). In mediation analysis, pericardial fat volume partially mediated the association of BMI with incident AF in Hispanics.

conclusionsAfter adjustment for BMI, greater pericardial fat volume was associated with incident AF in Hispanics but not overall. Additional research is needed on the mechanisms by which pericardial fat volume is related to increased AF risk and possible differences by race/ethnicity.

Indexed as

Abdominal FatAdipose TissueAgedAged, 80 and overAtherosclerosisAtrial FibrillationCardiovascular DiseasesEthnicityFemaleHumansMaleMiddle AgedPericardium

Identifiers

PMID28452401
PMCPMC5445011
OpenAlexW2612842822

What OpenQuestion holds

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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.