Evidence map›Paper›PMID 25194293›Full record

Observational studyJACC. Heart failure2014

Heart failure risk across the spectrum of ankle-brachial index: the ARIC study (Atherosclerosis Risk In Communities).

Deepak K Gupta, Hicham Skali, Brian Claggett, Rumen Kasabov, Susan Cheng, Amil M Shah, Laura R Loehr, Gerardo Heiss, Vijay Nambi, David Aguilar and 5 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in JACC. Heart failure, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.1field-weighted citation impact, top 7% 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

32 citing papers in PubMed, 59 citations in OpenAlex.

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  6. Assessment of Frailty Among Older Adults in the Physical Activity Daily Trial.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2024
    Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 6 institutions in 1 country.

Deepak K GuptaVanderbilt Heart and Vascular Institute, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee. Electronic address: deepak.gupta@vanderbilt.edu.
Hicham SkaliCardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Brian ClaggettCardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Rumen KasabovCardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Susan ChengCardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Amil M ShahCardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Laura R LoehrDepartment of Epidemiology, University of North Carolina, Chapel Hill, North Carolina.
Gerardo HeissDepartment of Epidemiology, University of North Carolina, Chapel Hill, North Carolina.
Vijay NambiDivision of Cardiology, Baylor College of Medicine, Houston, Texas.
David AguilarDivision of Cardiology, Baylor College of Medicine, Houston, Texas.
Lisa Miller WruckDepartment of Epidemiology, University of North Carolina, Chapel Hill, North Carolina.
Kunihiro MatsushitaDepartment of Epidemiology, Johns Hopkins University, Baltimore, Maryland.
Aaron R FolsomDivision of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota.
Wayne D RosamondDepartment of Epidemiology, University of North Carolina, Chapel Hill, North Carolina.
Scott D SolomonCardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Brigham and Women's Hospital · USUniversity of North Carolina at Chapel Hill · USBaylor College of Medicine · USJohns Hopkins University · USUniversity of Minnesota · USVanderbilt University · US

Funding

Noninvasive Cardiovascular Imaging Research Training ProgramT32HL094301 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Marcelo F DI CARLI · 2010 to 2026
$7.8M
Systolic & diastolic dysfunction in heart failure and preserved ejection fractionK08HL116792 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SHAH, AMIL M · 2013 to 2017
$735k
De-implementation of Low-value HIV Prevention InterventionsR21MH115772 · NIMH · WASHINGTON UNIVERSITY · PI MCKAY, VIRGINIA R · 2017 to 2018
$419k
NHLBI NIH HHS K08 HL116792NHLBI NIH HHS T32 HL094301NHLBI NIH HHS T32 HL094301-02NIMH NIH HHS R21 MH115772
6 · The paper itself

Abstract

objectivesThe aim of this study was to describe the relationship between ankle brachial index (ABI) and the risk for heart failure (HF).

backgroundThe ABI is a simple, noninvasive measure associated with atherosclerotic cardiovascular disease and death; however, the relationship between ABI and risk for HF is less well characterized.

methodsBetween 1987 and 1989 in the ARIC (Atherosclerosis Risk In Communities) study, an oscillometric device was used to measure blood pressure in a single upper and randomly chosen lower extremity to determine the ABI. Incident HF events were defined by the first hospitalization with an International Classification of Diseases, Ninth Revision, code of 428.x through 2008. The risk for HF was assessed across the ABI range using restricted cubic splines and Cox proportional hazards models.

resultsABI was available in 13,150 participants free from prevalent HF. Over a mean 17.7 years of follow-up, 1,809 incident HF events occurred. After adjustment for traditional HF risk factors, prevalent coronary heart disease, subclinical carotid atherosclerosis, and interim myocardial infarction, compared with an ABI of 1.01 to 1.40, participants with ABIs ≤0.90 were at increased risk for HF (hazard ratio: 1.40; 95% confidence interval: 1.12 to 1.74), as were participants with ABIs of 0.91 to 1.00 (hazard ratio: 1.36; 95% confidence interval: 1.17 to 1.59).

conclusionsIn a middle-age community cohort, an ABI ≤1.00 was significantly associated with an increased risk for HF, independent of traditional HF risk factors, prevalent coronary heart disease, carotid atherosclerosis, and interim myocardial infarction. Low ABI may reflect not only overt atherosclerosis but also pathologic processes in the development of HF beyond epicardial atherosclerotic disease and myocardial infarction alone. A low ABI, as a simple, noninvasive measure, may be a risk marker for HF.

Indexed as

Ankle Brachial IndexCardiovascular DiseasesCarotid Artery DiseasesCohort StudiesCoronary Artery DiseaseFemaleHeart FailureHumansMaleMiddle AgedMyocardial InfarctionProportional Hazards ModelsProspective Studiesankle brachial indexcoronary artery diseaseheart failuremyocardial infarctionvascular stiffness

Identifiers

PMID25194293
PMCPMC4194157
OpenAlexW199442911

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.