Evidence map›Paper›PMID 32838290›Full record

ArticleKidney medicine

Dialysis, COVID-19, Poverty, and Race in Greater Chicago: An Ecological Analysis.

Siddharth Bhayani, Ranit Sengupta, Talar Markossian, Samie Tootooni, Amy Luke, David Shoham, Richard Cooper, Holly Kramer

Open access · goldAbstract read
In one paragraph

Article in Kidney medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Social determinants of health and COVID-19 recovery after inpatient rehabilitation.PM & R : the journal of injury, function, and rehabilitation · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Siddharth BhayaniDepartments of Public Health Science, Medicine, and Health Informatics and Data Science, Loyola University Chicago, Maywood, IL.
Ranit SenguptaDepartments of Public Health Science, Medicine, and Health Informatics and Data Science, Loyola University Chicago, Maywood, IL.
Talar MarkossianDepartments of Public Health Science, Medicine, and Health Informatics and Data Science, Loyola University Chicago, Maywood, IL.
Samie TootooniDepartments of Public Health Science, Medicine, and Health Informatics and Data Science, Loyola University Chicago, Maywood, IL.
Amy LukeDepartments of Public Health Science, Medicine, and Health Informatics and Data Science, Loyola University Chicago, Maywood, IL.
David ShohamDepartments of Public Health Science, Medicine, and Health Informatics and Data Science, Loyola University Chicago, Maywood, IL.
Richard CooperDepartments of Public Health Science, Medicine, and Health Informatics and Data Science, Loyola University Chicago, Maywood, IL.
Holly KramerDepartments of Public Health Science, Medicine, and Health Informatics and Data Science, Loyola University Chicago, Maywood, IL.
Loyola University Chicago · US

Funding

Basic and Clinical Research Training for Medical StudentsT35HL120835 · NHLBI · LOYOLA UNIVERSITY CHICAGO · PI ZELEZNIK-LE, NANCY J · 2015 to 2024
$628k
NHLBI NIH HHS T35 HL120835
6 · The paper itself

Abstract

RATIONALE &

objectivePersons with end-stage kidney disease receiving in-center maintenance hemodialysis may be at high risk for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exposure and severe outcomes with coronavirus disease 2019 (COVID-19). The objective of this study was to examine the correlation of SARS-CoV-2 positivity rate per capita and COVID-19-associated deaths with number of dialysis stations and demographics of residents within zip codes in Cook County, IL. STUDY

designEcological analysis. SETTING &

participantsData for SARS-CoV-2 test results and COVID-19-associated deaths during January 21 to June 15, 2020, among the 5,232,412 residents living within the 163 zip codes in Cook County, IL, were merged with demographic and income data from the US Census Bureau. The total number of positive test results in this population was 84,353 and total number of deaths was 4,007. ASSESSMENTS: Number of dialysis stations and stations per capita within a zip code were calculated. SARS-CoV-2-positive test results per capita were calculated as number of positive test results divided by the zip code population. COVID-19-associated deaths per capita were calculated as COVID-19 deaths among residents for a given zip code divided by the zip code population. ANALYTIC APPROACH: Spearman rank correlation coefficients were calculated to examine the correlation of SARS-CoV-2-positive tests per capita and COVID-19-associated deaths per capita with dialysis stations, demographics, and household poverty. To account for multiple testing, statistical significance was considered as

resultsAmong the 163 Cook County zip codes, there were 2,501 dialysis stations. Positive test results per capita were significantly associated with number of dialysis stations ( LIMITATIONS: Analysis is at the zip code level and not at the person level.

conclusionsThe number of dialysis stations within a zip code correlates with the SARS-CoV-2 positivity rate per capita in Cook County, IL, and this correlation may be driven by population density and the demographics of the residents. These findings highlight the high risk of SARS-CoV-2 exposure for patients with end-stage kidney disease living in poor urban areas.

Indexed as

COVID-19dialysisdisparitiespovertyraceSARS-CoV-2

Identifiers

PMID32838290
PMCPMC7391019
OpenAlexW3046007927

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.