Evidence map›Paper›PMID 31477043›Full record

ArticleBMC nephrology2019

The association of neighborhood racial mix and ED visit count in a cohort of patients on hemodialysis.

Ladan Golestaneh, Atessa Farzami, Chikeluba Madu, Tanya Johns, Michal L Melamed, Keith C Norris

Abstract read
In one paragraph

Article in BMC nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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4 · The record

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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

6 authors.

Ladan GolestanehAlbert Einstein College of Medicine / Montefiore Medical Center, 3411 Wayne Ave, Suite 5H, Bronx, NY, 10467, USA. lgolesta@montefiore.org.
Atessa FarzamiAlbert Einstein College of Medicine / Montefiore Medical Center, 3411 Wayne Ave, Suite 5H, Bronx, NY, 10467, USA.
Chikeluba MaduAlbert Einstein College of Medicine, Bronx, NY, USA.
Tanya JohnsAlbert Einstein College of Medicine / Montefiore Medical Center, 3411 Wayne Ave, Suite 5H, Bronx, NY, 10467, USA.
Michal L MelamedAlbert Einstein College of Medicine / Montefiore Medical Center, 3411 Wayne Ave, Suite 5H, Bronx, NY, 10467, USA.
Keith C NorrisDavid Geffen School of Medicine at University of California, Los Angeles, Los Angeles, CA, USA.

Funding

CTSA Administrative Supplement for Informatics Core: A novel AI/ML system to predict respiratory failure and ARDS in Covid-19 patientsUL1TR002556 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI KELLER, MARLA J, KIM, MIMI Y · 2018 to 2022
$26.7M
Institutional Career Development CoreKL2TR002558 · NCATS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI MARANTZ, PAUL R · 2018 to 2022
$2.7M
NCATS NIH HHS KL2 TR002558NCATS NIH HHS UL1 TR002556
6 · The paper itself

Abstract

backgroundNeighborhood racial mix is associated with dialysis facility performance metrics and mortality outcomes in patients on hemodialysis. We explored the association of neighborhood racial mix with emergency department (ED) visits in patients receiving hemodialysis.

methodsUsing Looking Glass (Montefiore's clinical database) we identified a cohort of patients on hemodialysis with an index ED visit at any of 4 Montefiore Hospital locations, between January 2013 and December 2017 and followed it for number of ED visits through December of 2017 or dropout due to death. The racial mix data for the Bronx block group of each subject's residence was derived from the Census Bureau. We then used negative binomial regression to test the association of quintile of percent of Black residents per residential block group with ED visits in unadjusted and adjusted models. To adjust further for quality offered by local dialysis facilities, with the facility zip code as the locus, we used data from the "Dialysis Compare" website.

resultsThree thousand nine-hundred and eighteen subjects were identified and the median number of ED visits was 3 (interquartile range (IQR) 1-7) during the study period. Subjects living in the highest quintile of percent Black residents were older, more commonly female and had lower poverty rates and higher rates of high school diplomas. Unadjusted models showed a significant association between the highest quintiles of Black neighborhood residence and count of ED visits. Fully adjusted, stratified models revealed that among males, and Hispanic and White subjects, living in neighborhoods with the highest quintiles of Black residents was associated with significantly more ED visits (p-trend =0.001, 0.02, 0.01 respectively). No association was found between dialysis facility locations' quintile of Black residents and quality metrics.

conclusionsLiving in a neighborhood with a higher percentage of Black residents is associated with a higher number of ED visits in males and non-Black patients on hemodialysis.

Indexed as

Residence CharacteristicsAgedCohort StudiesEmergency Service, HospitalFemaleHumansKidney Failure, ChronicMaleMiddle AgedNew York CityPovertyRacial GroupsRenal DialysisSocioeconomic FactorsDisparitiesEmergency department visitsEnd-stage kidney diseaseHemodialysisNeighborhoodRacial mix

Identifiers

PMID31477043
PMCPMC6720403

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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.