Evidence map›Paper›PMID 26676090›Full record

ArticleEthnicity & disease2015

Validation of an Albuminuria Self-assessment Tool in the Multi-Ethnic Study of Atherosclerosis.

Rikki M Tanner, Mark Woodward, Carmen Peralta, David G Warnock, Orlando Gutiérrez, Daichi Shimbo, Holly Kramer, Ronit Katz, Paul Muntner

Abstract read
In one paragraph

Article in Ethnicity & disease, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

9 authors.

Rikki M Tanner1. Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL.
Mark Woodward2. The George Institute for Global Health, Nuffield Department of Population Health, University of Oxford, Oxford, UK ; 3. The George Institute for Global Health, University of Sydney, Sydney, Australia ; 4. Department of Epidemiology, Johns Hopkins University, Baltimore, MD.
Carmen Peralta5. Department of Medicine, University of California San Francisco, San Francisco, CA.
David G Warnock6. Department of Medicine, University of Alabama at Birmingham, Birmingham, AL.
Orlando Gutiérrez6. Department of Medicine, University of Alabama at Birmingham, Birmingham, AL.
Daichi Shimbo7. Department of Medicine, Columbia University Medical Center, New York, NY.
Holly Kramer9. Department of Medicine, Loyola University Medical Center, Chicago, IL.
Ronit Katz9. Kidney Research Institute, University of Washington, Seattle, WA.
Paul Muntner1. Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL ; 6. Department of Medicine, University of Alabama at Birmingham, Birmingham, AL.

Funding

Institute for Clinical and Translational Research (UL1)UL1RR025005 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$75.8M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR024156 · NCRR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2006 to 2011
$53.0M
Adjunctive Use of Apyrase to Fibrinolytic TherapyR44HL095169 · NHLBI · APT THERAPEUTICS, INC. · PI CHEN, RIDONG · 2012 to 2013
$1.3M
SUBCLINICAL CARDIOVASCULAR DISEASE COORDINATING CENTER-N01HC95159-268095159N01HC095159 · HC · UNIVERSITY OF WASHINGTON · PI KRONMAL, RICHARD A · 1999 to 2006
$304k
Adjunctive Use of Apyrase to Fibrinolytic TherapyR43HL095169 · NHLBI · APT THERAPEUTICS, INC. · PI CHEN, RIDONG · 2009 to 2009
$226k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--EBCT READINGN01HC095169 · HC · LA BIOMED RES INST/ HARBOR UCLA MED CTR · PI DETRANO, ROBERT · 1999 to 2001
$124k
NCRR NIH HHS UL1 RR024156NCRR NIH HHS UL1-RR-024156NCRR NIH HHS UL1 RR025005NCRR NIH HHS UL1-RR-025005NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095169NHLBI NIH HHS N01-HC-95159NHLBI NIH HHS N01-HC-95169
6 · The paper itself

Abstract

objectiveWe previously developed an 8-item self-assessment tool to identify individuals with a high probability of having albuminuria. This tool was developed and externally validated among non-Hispanic Whites and non-Hispanic Blacks. We sought to validate it in a multi-ethnic cohort that also included Hispanics and Chinese Americans.

designThis is a cross-sectional study.

settingData were collected using standardized questionnaires and spot urine samples at a baseline examination in 2000-2002. The 8 items in the self-assessment tool include age, race, gender, current cigarette smoking, history of diabetes, hypertension, or stroke, and self-rated health.

participantsOf 6,814 community-dwelling adults aged 45-84 years participating in the Multi-Ethnic Study of Atherosclerosis (MESA), 6,542 were included in the primary analysis.

main outcome measuresAlbuminuria was defined as urine albumin-to-creatinine ratio ≥ 30 mg/g at baseline.

resultsAmong non-Hispanic Whites, non-Hispanic Blacks, Hispanics, and Chinese Americans, the prevalence of albuminuria was 6.0%, 11.3%, 11.6%, and 10.8%, respectively. The c-statistic for discriminating participants with and without albuminuria was .731 (95% CI: .692, .771), .728 (95% CI: .687, .761), .747 (95% CI: .709, .784), and .761 (95% CI: .699, .814) for non-Hispanic Whites, non-Hispanic Blacks, Hispanics, and Chinese Americans, respectively. The self-assessment tool over-estimated the probability of albuminuria for non-Hispanic Whites and Blacks, but was well-calibrated for Hispanics and Chinese Americans.

conclusionsThe albuminuria self-assessment tool maintained good test characteristics in this large multi-ethnic cohort, suggesting it may be helpful for increasing awareness of albuminuria in an ethnically diverse population.

Indexed as

EthnicitySelf-AssessmentWhite PeopleAgedAged, 80 and overAlbuminuriaAtherosclerosisCross-Sectional StudiesFemaleHumansMaleMiddle AgedPredictive Value of TestsPrevalenceAlbuminuriaEthnicityKidney DiseaseRaceRacial DisparitiesScreeningSelf-assessment

Identifiers

PMID26676090
PMCPMC4671433

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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.