Evidence map›Paper›PMID 36682964›Full record

ArticleJournal of the National Medical Association2023

Inpatient outcomes comparing White and Black patients with obesity hospitalized for COVID-19 infection.

Ché Matthew Harris, Scott Mitchell Wright

Abstract readComparative Study
In one paragraph

Article in Journal of the National Medical Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Ché Matthew HarrisDepartment of Medicine, Johns Hopkins School of Medicine, Johns Hopkins Bayview Medical Center, Johns Hopkins University School of Medicine, 5200 Eastern Avenue, Baltimore, MD 21224, United States. Electronic address: charri21@jh.edu.
Scott Mitchell WrightDepartment of Medicine, Johns Hopkins School of Medicine, Johns Hopkins Bayview Medical Center, Johns Hopkins University School of Medicine, 5200 Eastern Avenue, Baltimore, MD 21224, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveComparisons between Black and White patients with obesity hospitalized with COVID-19 have not been fully studied. We sought to determine outcomes differences between these two groups.

methodsNational Inpatient Sample database year 2020 was studied using multivariable regression to compare Black and White patients with obesity and COVID-19 infection. Outcomes were in-hospital mortality, length of stay, and hospital charges.

results205,365 Black and White patients with obesity were hospitalized for COVID-19. 141,010 (68.6%) were White and 64,355 (31.3%) were Black. Black patients were younger (mean age [± standard error] 55.5 ± 0.14 vs. 62.1± 0.11; p < 0.01), more likely female (63.2% vs 50.9%; p < 0.01), and had lower mean comorbidity (Elixhauser score means [± standard error] 4.4 ± 0.02 vs. 4.6 ± 0.01; p < 0.01) than White patients. Black patients had lower odds of in-hospital mortality (adjusted Odds Ratio {aOR}=0.86 CI [0.77-0.97]; p = 0.01), longer hospital stays (adjusted Mean Difference {aMD}=0.32 days CI [0.14-0.51]; p < 0.01) and incurred higher, though non-significant hospital charges (aMD = $2,144 CI [-2270-+6560]; p = 0.34) than White patients.

conclusionDuring the first year of the pandemic, Black patients with obesity and COVID-19 were less likely to die during the incident hospitalization but used greater hospital resources compared to White patients.

Indexed as

Black or African AmericanCOVID-19HospitalizationObesityWhiteFemaleHumansMaleMiddle AgedRetrospective StudiesTreatment OutcomeCOVID-19HospitalizationObesityOutcomesRace

Identifiers

PMID36682964
PMCPMC9859723

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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.