Evidence map›Paper›PMID 33842873›Full record

ArticleEClinicalMedicine2021

Elevated COVID19 mortality risk in detroit area hospitals among patients from census tracts with extreme socioeconomic vulnerability.

Avnish Sandhu, Steven J Korzeniewski, Jordan Polistico, Harshita Pinnamaneni, Sushmitha Nanja Reddy, Ahmed Oudeif, Jessica Meyers, Nikki Sidhu, Phillip Levy, Lobelia Samavati and 4 more

Open access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  5. Long COVID and COVID-19-associated cystitis (CAC).International urology and nephrology · 2022
    Article
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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

14 authors at 1 institution in 1 country.

Avnish SandhuDepartment of Internal Medicine, Division of Infectious Diseases, Detroit Medical Center, Wayne State University School of Medicine, Detroit, MI, United States.
Steven J KorzeniewskiDepartment of Family Medicine and Public Health Sciences, Wayne State University School of Medicine, Detroit, MI, United States.
Jordan PolisticoDepartment of Internal Medicine, Division of Infectious Diseases, Detroit Medical Center, Wayne State University School of Medicine, Detroit, MI, United States.
Harshita PinnamaneniWayne State University School of Medicine, Detroit, MI, United States.
Sushmitha Nanja ReddyWayne State University School of Medicine, Detroit, MI, United States.
Ahmed OudeifWayne State University School of Medicine, Detroit, MI, United States.
Jessica MeyersWayne State University School of Medicine, Detroit, MI, United States.
Nikki SidhuWayne State University School of Medicine, Detroit, MI, United States.
Phillip LevyDepartment of Emergency Medicine, Detroit Medical Center, Wayne State University School of Medicine, Detroit, MI, United States.
Lobelia SamavatiDepartment of Internal Medicine, Division of Pulmonary and Critical Care Medicine, Detroit Medical Center, Wayne State University School of Medicine, Detroit, MI, United States.
M Safwan BadrDepartment of Internal Medicine, Division of Pulmonary and Critical Care Medicine, Detroit Medical Center, Wayne State University School of Medicine, Detroit, MI, United States.
Jack D SobelDepartment of Internal Medicine, Division of Infectious Diseases, Detroit Medical Center, Wayne State University School of Medicine, Detroit, MI, United States.
Robert SherwinDepartment of Emergency Medicine, Detroit Medical Center, Wayne State University School of Medicine, Detroit, MI, United States.
Teena ChopraDepartment of Internal Medicine, Division of Infectious Diseases, Detroit Medical Center, Wayne State University School of Medicine, Detroit, MI, United States.
Wayne State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundthe incidence of novel coronavirus disease (COVID19) is elevated in areas with heightened socioeconomic vulnerability. Early reports from US hospitals also implicated social disadvantage and chronic disease history as COVID19 mortality risk factors. However, the relationship between race and COVID19 mortality remains unclear.

methodswe examined in-hospital COVID19 mortality risk factors in a multi-hospital tertiary health care system that serves greater Detroit, Michigan, a predominantly African American city with high rates of poverty and chronic disease. Consecutive adult patients who presented to emergency departments and tested positive for COVID19 from 3/11/2020 through 4/18/2020 were included. Using log-binomial regression, we assessed the relationship between in-hospital mortality and residence in census tracts that were flagged for extreme socioeconomic vulnerability, patient-level demographics, and clinical comorbidities.

findingsa total of 1,015 adults tested positive for COVID19 during the study period; 80% identified as Black people, 52% were male and 53% were ≥ 65 years of age. The median body mass index was 30•4 and the median Charlson Comorbidity Index score was 4. Patients from census tracts that were flagged for vulnerability related to socioeconomic status had a higher mortality rate than their peers who resided in less vulnerable census tracts (β 0.26, standard error (SE) 0.11, degrees of freedom (df) 378,

interpretationpeople who lived in areas flagged for extreme socioeconomic vulnerability had elevated mortality risk in our predominantly African-American cohort of COVID19 patients who were able to seek hospital care during the so-called 'first wave' of the pandemic. By contrast, Black race was not associated with mortality in our sample.

Identifiers

PMID33842873
PMCPMC8022031
OpenAlexW3139653944

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.