Evidence map›Paper›PMID 27523775›Full record

ArticleHeart rhythm2017

Albuminuria, kidney function, and sudden cardiac death: Findings from The Reasons for Geographic and Racial Differences in Stroke (REGARDS) study.

Rajat Deo, Yulia A Khodneva, Michael G Shlipak, Elsayed Z Soliman, Suzanne E Judd, William M McClellan, Todd M Brown, J David Rhodes, Orlando M Gutiérrez, Sanjiv J Shah and 2 more

Open access · greenAbstract readComparative Study
In one paragraph

Article in Heart rhythm, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Differences in Risk of Sudden Cardiac Death Between Blacks and Whites.Journal of the American College of Cardiology · 2018
    Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 8 institutions in 1 country.

Rajat DeoElectrophysiology Section, Division of Cardiovascular Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania. Electronic address: Rajat.Deo@uphs.upenn.edu.
Yulia A KhodnevaDepartment of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
Michael G ShlipakDepartment of Epidemiology, Biostatistics, and Medicine, University of California San Francisco and Department of General Internal Medicine, San Francisco VA Medical Center, San Francisco, California.
Elsayed Z SolimanEpidemiological Cardiology Research Center (EPICARE), Department of Epidemiology and Prevention, and Department of Internal Medicine, Cardiology Section, Wake Forest University School of Medicine, Winston Salem, North Carolina.
Suzanne E JuddDepartment of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama.
William M McClellanDepartments of Medicine and Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia.
Todd M BrownDepartment of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
J David RhodesDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama.
Orlando M GutiérrezDepartment of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
Sanjiv J ShahDivision of Cardiovascular Medicine, Northwestern University, Chicago, Illinois.
Christine M AlbertCenter for Arrhythmia Prevention, Division of Preventive Medicine, and Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Monika M SaffordDivision of General Internal Medicine, Department of Medicine, Weill Cornell Medical College, New York, New York.
University of Alabama at Birmingham · USBrigham and Women's Hospital · USCornell University · USEmory University · USNorthwestern University · USSan Francisco VA Medical Center · USUniversity of Pennsylvania · USWake Forest University · US

Funding

VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ANANDA BASU · 2013 to 2026
$19.5M
PRE-DETERMINE: Biologic Markers and MRI SCD Cohort StudyR01HL091069 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI ALBERT, CHRISTINE M · 2008 to 2020
$12.9M
REGARDS - MI StudyR01HL080477 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI LEVITAN, EMILY B, SAFFORD, MONIKA M · 2006 to 2020
$11.6M
Renin-Angiotensin-Aldosterone System and Cardiac Arrhythmias in People with ChronK23DK089118 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI DEO, RAJAT · 2010 to 2013
$617k
Building Capacity for Cardiometabolic Outcomes ResearchK24HL111154 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI SAFFORD, MONIKA M · 2012 to 2015
$556k
NCATS NIH HHS UL1 TR001079NHLBI NIH HHS K24 HL111154NHLBI NIH HHS R01 HL080477NHLBI NIH HHS R01 HL091069NIDDK NIH HHS K23 DK089118NIDDK NIH HHS P30 DK079626NINDS NIH HHS U01 NS041588
6 · The paper itself

Abstract

backgroundModerate-to-severe kidney disease increases risk for sudden cardiac death (SCD). Limited studies have evaluated how mild degrees of kidney dysfunction impact SCD risk.

objectiveThe purpose of this study was to evaluate the association of albuminuria, which is one of the earliest biomarkers of kidney injury, and SCD.

methodsThe Reasons for Geographic and Racial Differences in Stroke (REGARDS) study is a prospective, population-based cohort of U.S. adults. Associations between albuminuria, which is categorized using urinary albumin-to-creatinine ratio (ACR), estimated glomerular filtration rate (eGFR), and SCD were assessed independently and in combination.

resultsAfter median follow-up of 6.1 years, we identified 335 SCD events. Compared to participants with ACR <15 mg/g, those with higher levels had an elevated adjusted risk of SCD (ACR 15-30 mg/g, hazard ratio [HR] 1.53, 95% confidence interval [CI] 1.11-2.11; ACR >30 mg/g, HR 1.56, 95% CI 1.17-2.11). In contrast, compared to the group with eGFR >90 mL/min/1.73 m

conclusionLow levels of kidney injury as measured by ACR predict an increase in SCD risk.

Indexed as

Death, Sudden, CardiacGeographyRacial GroupsAgedAlbuminuriaCohort StudiesCreatinineFemaleGlomerular Filtration RateHumansKaplan-Meier EstimateMaleMiddle AgedPredictive Value of TestsProspective StudiesRisk AssessmentCreatinineAlbuminuriaKidney functionPopulation healthRisk factorSudden cardiac death

Identifiers

PMID27523775
PMCPMC5256547
OpenAlexW2508247554

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.