Evidence map›Paper›PMID 25471628›Full record

ArticleBMC nephrology2014

Low income, community poverty and risk of end stage renal disease.

Deidra C Crews, Orlando M Gutiérrez, Stacey A Fedewa, Jean-Christophe Luthi, David Shoham, Suzanne E Judd, Neil R Powe, William M McClellan

Abstract read
In one paragraph

Article in BMC nephrology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
–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

48 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Deidra C CrewsDivision of Nephrology, Department of Medicine, Johns Hopkins Medical Institutions, 301 Mason F, Lord Drive, Suite 2500, Baltimore, MD 21224, USA. dcrews1@jhmi.edu.
Orlando M Gutiérrez
Stacey A Fedewa
Jean-Christophe Luthi
David Shoham
Suzanne E Judd
Neil R Powe
William M McClellan

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
Chronic Kidney Disease and Cardiovascular Risk in Black and White Young AdultsR01DK078124 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BIBBINS-DOMINGO, KIRSTEN · 2008 to 2010
$1.2M
Race, Socioeconomic Status, Diet and Chronic Kidney DiseaseK23DK097184 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI CREWS, DEIDRA CANDICE · 2013 to 2016
$684k
NIDDK NIH HHS K23 DK097184NIDDK NIH HHS K23DK097184NIDDK NIH HHS R01 DK078124NIDDK NIH HHS R01 DK78124NINDS NIH HHS U01 NS041588
6 · The paper itself

Abstract

backgroundThe risk of end stage renal disease (ESRD) is increased among individuals with low income and in low income communities. However, few studies have examined the relation of both individual and community socioeconomic status (SES) with incident ESRD.

methodsAmong 23,314 U.S. adults in the population-based Reasons for Geographic and Racial Differences in Stroke study, we assessed participant differences across geospatially-linked categories of county poverty [outlier poverty, extremely high poverty, very high poverty, high poverty, neither (reference), high affluence and outlier affluence]. Multivariable Cox proportional hazards models were used to examine associations of annual household income and geospatially-linked county poverty measures with incident ESRD, while accounting for death as a competing event using the Fine and Gray method.

resultsThere were 158 ESRD cases during follow-up. Incident ESRD rates were 178.8 per 100,000 person-years (105 py) in high poverty outlier counties and were 76.3 /105 py in affluent outlier counties, p trend=0.06. In unadjusted competing risk models, persons residing in high poverty outlier counties had higher incidence of ESRD (which was not statistically significant) when compared to those persons residing in counties with neither high poverty nor affluence [hazard ratio (HR) 1.54, 95% Confidence Interval (CI) 0.75-3.20]. This association was markedly attenuated following adjustment for socio-demographic factors (age, sex, race, education, and income); HR 0.96, 95% CI 0.46-2.00. However, in the same adjusted model, income was independently associated with risk of ESRD [HR 3.75, 95% CI 1.62-8.64, comparing the <$20,000 income group to the >$75,000 group]. There were no statistically significant associations of county measures of poverty with incident ESRD, and no evidence of effect modification.

conclusionsIn contrast to annual family income, geospatially-linked measures of county poverty have little relation with risk of ESRD. Efforts to mitigate socioeconomic disparities in kidney disease may be best appropriated at the individual level.

Indexed as

PovertyResidence CharacteristicsFemaleHumansIncidenceIncomeKidney Failure, ChronicMaleMiddle AgedProportional Hazards ModelsRisk FactorsSocial ClassUnited States

Identifiers

PMID25471628
PMCPMC4269852

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.