Evidence map›Paper›PMID 28361742›Full record

Observational studyClinical nutrition ESPEN2017

Coffee consumption and calcified atherosclerotic plaques in the coronary arteries: The NHLBI Family Heart Study.

Yash R Patel, Taraka V Gadiraju, R Curtis Ellison, Steven C Hunt, John Jeffrey Carr, Gerardo Heiss, Donna K Arnett, James S Pankow, J Michael Gaziano, Luc Djoussé

Open access · greenAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Clinical nutrition ESPEN, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
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 8 institutions in 2 countries.

Yash R PatelDivision of Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States. Electronic address: dryashpatel21@gmail.com.
Taraka V GadirajuDivision of Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Tulane Heart & Vascular Institute, Tulane University School of Medicine, New Orleans, LA, United States.
R Curtis EllisonSection of Preventive Medicine & Epidemiology, Boston University, Boston, MA, United States.
Steven C HuntDepartment of Genetic Medicine, Weill Cornell Medicine, Doha, Qatar; Cardiovascular Genetics Division, University of Utah School of Medicine, Salt Lake City, UT, United States.
John Jeffrey CarrDepartment of Radiology, Cardiovascular Medicine and Biomedical Informatics, Vanderbilt University Medical Center Nashville, TN, United States.
Gerardo HeissDepartment of Epidemiology, School of Public Health, The University of North Carolina at Chapel Hill, NC, United States.
Donna K ArnettDivision of Epidemiology, University of Alabama, Birmingham, AL, United States.
James S PankowDivision of Epidemiology, University of Minnesota, Minneapolis, MN, United States.
J Michael GazianoDivision of Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Massachusetts Veterans Epidemiology and Research Information Center (MAVERIC) and Geriatric Research, Education, and Clinical Research Center (GRECC), Boston Veterans Affairs Healthcare System, Boston, MA, United States.
Luc DjousséDivision of Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Massachusetts Veterans Epidemiology and Research Information Center (MAVERIC) and Geriatric Research, Education, and Clinical Research Center (GRECC), Boston Veterans Affairs Healthcare System, Boston, MA, United States.
Brigham and Women's Hospital · USBoston University · USHarvard University · USUniversity of Alabama at Birmingham · USUniversity of Minnesota · USUniversity of North Carolina at Chapel Hill · USVanderbilt University Medical Center · USWeill Cornell Medical College in Qatar · QA

Funding

GENCAC-Data Coordinating CenterU01HL067899 · NHLBI · WASHINGTON UNIVERSITY · PI PROVINCE, MICHAEL A · 2001 to 2004
$1.4M
GENCAC - Utah Field CenterU01HL067894 · NHLBI · UNIVERSITY OF UTAH · PI HUNT, STEVEN C. · 2001 to 2004
$1.3M
GENCAC - Arterial Calcium Reading CenterU01HL067897 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI CARR, JOHN JEFFREY · 2001 to 2004
$1.2M
GENCAC - Minnesota Field CenterU01HL067901 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI PANKOW, JAMES S · 2001 to 2004
$1.1M
GENCAC - Framingham Field CenterU01HL067896 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI ELLISON, CURTIS R. · 2001 to 2004
$971k
GENCAC - CENTRAL BIOCHEMISTRY LABORATORYU01HL067900 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ECKFELDT, JOHN H · 2001 to 2004
$884k
Genetics of Coronary and Aortic Calcification (GENCAC)U01HL067893 · NHLBI · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI HEISS, GERARDO · 2001 to 2004
$818k
NHLBI NIH HHS U01 HL067893NHLBI NIH HHS U01 HL067894NHLBI NIH HHS U01 HL067896NHLBI NIH HHS U01 HL067897NHLBI NIH HHS U01 HL067899NHLBI NIH HHS U01 HL067900NHLBI NIH HHS U01 HL067901
6 · The paper itself

Abstract

BACKGROUND &

aimsWhile a recent meta-analysis of prospective studies reported that coffee consumption is associated with a lower risk of cardiovascular disease mortality, limited and inconsistent data are available on the relation of coffee intake with subclinical disease. Thus, the aim of the present study was to see the association of coffee consumption with the prevalence of atherosclerotic plaque in the coronary arteries in NHLBI Family Heart Study.

methodsIn a cross-sectional design, we studied 1929 participants of the NHLBI Family Heart Study without known coronary heart disease. Coffee consumption was assessed by a semi-quantitative food frequency questionnaire and coronary-artery calcium (CAC) was measured by cardiac computed tomography. We defined prevalent CAC as an Agatston score of ≥100 and used generalized estimating equations to calculate prevalence ratios of CAC as well as a sensitivity analysis at a range of cutpoints for CAC.

resultsMean age was 56.7 years and 59% of the study subjects were female. In adjusted analysis for age, sex, BMI, smoking, alcohol, physical activity, field center, and energy intake, prevalence ratio (95% CI) for CAC was 1.0 (reference), 0.92 (0.57-1.49), 1.34 (0.86-2.08), 1.30 (0.84-2.02), and 0.99 (0.60-1.64) for coffee consumption of almost never, <1/day, 1/day, 2-3/day, and ≥4 cups/day, respectively. In a sensitivity analysis, there was no evidence of association between coffee consumption and prevalent CAC when CAC cut points of 0, 50, 150, 200, and 300 were used.

conclusionsThese data do not provide evidence for an association between coffee consumption and prevalent CAC in adult men and women.

Indexed as

CoffeePlaque, AtheroscleroticAdultAgedComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseCoronary VesselsCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsUnited StatesCoffeeAtherosclerosisCoffee consumptionCoronary artery calciumEpidemiologyNutrition

Identifiers

PMID28361742
PMCPMC5501720
OpenAlexW2570017062

What OpenQuestion holds

Textmetadata
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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.