Evidence map›Paper›PMID 21620547›Full record

ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2011

Development and validation of a self-assessment tool for albuminuria: results from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study.

Paul Muntner, Mark Woodward, April P Carson, Suzanne E Judd, Emily B Levitan, Devin M Mann, William McClellan, David G Warnock

Abstract readValidation Study
In one paragraph

Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Paul MuntnerDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham, 35294, USA. pmuntner@uab.edu
Mark Woodward
April P Carson
Suzanne E Judd
Emily B Levitan
Devin M Mann
William McClellan
David G Warnock

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
Understanding Cohort Effects on Stroke, VCID, and Cognition After Major Epidemiologic TransitionsR01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI MARY CUSHMAN, VIRGINIA J. HOWARD · 2001 to 2026
$8.8M
NINDS NIH HHS R01 NS041588NINDS NIH HHS U01 NS041588
6 · The paper itself

Abstract

backgroundThe prevalence of albuminuria in the general population is high, but awareness of it is low. Therefore, we sought to develop and validate a self-assessment tool that allows individuals to estimate their probability of having albuminuria. STUDY

designCross-sectional study. SETTING &

participantsThe population-based Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study for model development and the National Health and Nutrition Examination Survey (NHANES) 1999-2004 for model validation. US adults 45 years or older in the REGARDS Study (n = 19,697) and NHANES 1999-2004 (n = 7,168). PREDICTOR: Candidate items for the self-assessment tool were collected using a combination of interviewer- and self-administered questionnaires. OUTCOME: Albuminuria was defined as a urinary albumin to urinary creatinine ratio ≥30 mg/g in spot samples.

results8 items were included in the self-assessment tool (age, race, sex, current smoking, self-rated health, and self-reported history of diabetes, hypertension, and stroke). These items provided a C statistic of 0.709 (95% CI, 0.699-0.720) and good model fit (Hosmer-Lemeshow χ(2)P = 0.49). In the external validation data set, the C statistic for discriminating individuals with and without albuminuria using the self-assessment tool was 0.714. Using a threshold of ≥10% probability of albuminuria from the self-assessment tool, 36% of US adults 45 years or older in NHANES 1999-2004 would test positive and be recommended for screening. Sensitivity, specificity, and positive and negative predictive values for albuminuria associated with a probability ≥10% were 66%, 68%, 23%, and 93%, respectively. LIMITATIONS: Repeated urine samples were not available to assess the persistency of albuminuria.

conclusions8 self-report items provide good discrimination for the probability of having albuminuria. This tool may encourage individuals with a high probability to request albuminuria screening.

Indexed as

Self-AssessmentSurveys and QuestionnairesAlbuminuriaCross-Sectional StudiesFemaleHumansMaleMiddle AgedSensitivity and Specificity

Identifiers

PMID21620547
PMCPMC3144301

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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.