Evidence map›Paper›PMID 22694949›Full record

ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2012

Low income and albuminuria among REGARDS (Reasons for Geographic and Racial Differences in Stroke) study participants.

Deidra C Crews, William M McClellan, David A Shoham, Liyan Gao, David G Warnock, Suzanne Judd, Paul Muntner, Edgar R Miller, Neil R Powe

Open access · greenAbstract readComparative Study
In one paragraph

Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
3.8field-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

40 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Social determinants of health and the transition from advanced chronic kidney disease to kidney failure.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2023
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Social Determinants of CKD Hotspots.Seminars in nephrology · 2019
    Review
  17. Article
  18. Article
  19. Article
  20. 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 at 5 institutions in 1 country.

Deidra C CrewsDivision of Nephrology, Department of Medicine, Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, MD 21224, USA. dcrews1@jhmi.edu
William M McClellan
David A Shoham
Liyan Gao
David G Warnock
Suzanne Judd
Paul Muntner
Edgar R Miller
Neil R Powe
University of Alabama at Birmingham · USJohns Hopkins University · USEmory University · USLoyola University Chicago · USSan Francisco General Hospital · 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
PATIENT ORIENTED RESEARCH IN KIDNEY DISEASEK24DK002643 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI POWE, NEIL R. · 1999 to 2009
$1.4M
NIDDK NIH HHS K24 DK002643NIDDK NIH HHS K24DK02643NINDS NIH HHS U01 NS041588
6 · The paper itself

Abstract

backgroundAlbuminuria is an important risk factor for progressive chronic kidney disease (CKD) and is more prevalent in black than white adults. We sought to determine the association between low income and albuminuria and whether this association differs for blacks and whites. STUDY

designCross-sectional study. SETTING &

participants9,144 black and 13,684 white US adults 45 years and older in the population-based Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study. PREDICTORS: Self-reported annual household income category (≥$75,000, $35,000-$74,999, $20,000-$34,999, and <$20,000); black and white race. OUTCOMES & MEASUREMENTS: Albuminuria defined as high (30-300 mg/g) or very high (>300 mg/g) urinary albumin-creatinine ratio (ACR). Multinomial logistic regression used to examine the race-stratified association between categories of income and albuminuria (normal, high, or very high ACR).

resultsOverall, geometric mean ACR was 10.2 mg/g and was higher for blacks (11.8 mg/g) than whites (9.3 mg/g), P<0.001. Lower income was associated with a higher prevalence of albuminuria for both whites and blacks in unadjusted analyses. After adjustment for demographics, lifestyle factors, comorbid illnesses, and estimated glomerular filtration rate, there was a trend toward a stronger association between lower income levels and high ACR in blacks (ORs of 1.38 [95% CI, 1.07-1.77], 1.36 [95% CI, 1.05-1.75], and 1.58 [95% CI, 1.21-2.05] for income levels of $35,000-$74,999, $20,000-$34,999, and <$20,000, respectively; reference group is those with income≥$75,000) compared with whites (ORs of 0.95 [95% CI, 0.81-1.12], 0.95 [95% CI, 0.79-1.14], and 1.26 [95% CI, 1.02-1.55], respectively); P interaction=0.08 between race and income. Results were similar for very high ACR and subgroups of participants with diabetes or hypertension. LIMITATIONS: Cross-sectional design; not all REGARDS participants provided their annual income.

conclusionsLower income may be associated more strongly with albuminuria in blacks than whites and may be a determinant of racial disparities in albuminuria.

Indexed as

Black or African AmericanBlack PeoplePovertyAgedAlbuminuriaCross-Sectional StudiesFemaleHealth Status DisparitiesHumansMaleMiddle AgedUnited States

Identifiers

PMID22694949
PMCPMC3448844
OpenAlexW2074644791

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.