Evidence map›Paper›PMID 33275153›Full record

ArticleJAMA network open2020

Assessment of Racial/Ethnic Disparities in Hospitalization and Mortality in Patients With COVID-19 in New York City.

Gbenga Ogedegbe, Joseph Ravenell, Samrachana Adhikari, Mark Butler, Tiffany Cook, Fritz Francois, Eduardo Iturrate, Girardin Jean-Louis, Simon A Jones, Deborah Onakomaiya and 7 more

Abstract read
In one paragraph

Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 203 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
203citing papers in PubMed, 8 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

203 citing papers in PubMed, 8 syntheses or guidelines pooled it.

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  2. Inequality in the distribution of Covid-19 vaccine: a systematic review.International journal for equity in health · 2022
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143 more citing papers are in PubMed but not listed here.

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

17 authors.

Gbenga OgedegbeDepartment of Population Health, New York University Grossman School of Medicine, New York.
Joseph RavenellDepartment of Population Health, New York University Grossman School of Medicine, New York.
Samrachana AdhikariDepartment of Population Health, New York University Grossman School of Medicine, New York.
Mark ButlerDepartment of Population Health, New York University Grossman School of Medicine, New York.
Tiffany CookDepartment of Medicine, New York University Grossman School of Medicine, New York.
Fritz FrancoisDepartment of Medicine, New York University Grossman School of Medicine, New York.
Eduardo IturrateDepartment of Medicine, New York University Grossman School of Medicine, New York.
Girardin Jean-LouisDepartment of Population Health, New York University Grossman School of Medicine, New York.
Simon A JonesDepartment of Population Health, New York University Grossman School of Medicine, New York.
Deborah OnakomaiyaDepartment of Population Health, New York University Grossman School of Medicine, New York.
Christopher M PetrilliDepartment of Medicine, New York University Grossman School of Medicine, New York.
Claudia PulgarinDepartment of Population Health, New York University Grossman School of Medicine, New York.
Seann ReganDepartment of Population Health, New York University Grossman School of Medicine, New York.
Harmony ReynoldsDepartment of Medicine, New York University Grossman School of Medicine, New York.
Azizi SeixasDepartment of Population Health, New York University Grossman School of Medicine, New York.
Frank Michael VolpicelliDepartment of Medicine, New York University Grossman School of Medicine, New York.
Leora Idit HorwitzDepartment of Population Health, New York University Grossman School of Medicine, New York.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Black and Hispanic populations have higher rates of coronavirus disease 2019 (COVID-19) hospitalization and mortality than White populations but lower in-hospital case-fatality rates. The extent to which neighborhood characteristics and comorbidity explain these disparities is unclear. Outcomes in Asian American populations have not been explored. Objective: To compare COVID-19 outcomes based on race and ethnicity and assess the association of any disparities with comorbidity and neighborhood characteristics. Design, Setting, and Participants: This retrospective cohort study was conducted within the New York University Langone Health system, which includes over 260 outpatient practices and 4 acute care hospitals. All patients within the system's integrated health record who were tested for severe acute respiratory syndrome coronavirus 2 between March 1, 2020, and April 8, 2020, were identified and followed up through May 13, 2020. Data were analyzed in June 2020. Among 11 547 patients tested, outcomes were compared by race and ethnicity and examined against differences by age, sex, body mass index, comorbidity, insurance type, and neighborhood socioeconomic status. Exposures: Race and ethnicity categorized using self-reported electronic health record data (ie, non-Hispanic White, non-Hispanic Black, Hispanic, Asian, and multiracial/other patients). Main Outcomes and Measures: The likelihood of receiving a positive test, hospitalization, and critical illness (defined as a composite of care in the intensive care unit, use of mechanical ventilation, discharge to hospice, or death). Results: Among 9722 patients (mean [SD] age, 50.7 [17.5] years; 58.8% women), 4843 (49.8%) were positive for COVID-19; 2623 (54.2%) of those were admitted for hospitalization (1047 [39.9%] White, 375 [14.3%] Black, 715 [27.3%] Hispanic, 180 [6.9%] Asian, 207 [7.9%] multiracial/other). In fully adjusted models, Black patients (odds ratio [OR], 1.3; 95% CI, 1.2-1.6) and Hispanic patients (OR, 1.5; 95% CI, 1.3-1.7) were more likely than White patients to test positive. Among those who tested positive, odds of hospitalization were similar among White, Hispanic, and Black patients, but higher among Asian (OR, 1.6, 95% CI, 1.1-2.3) and multiracial patients (OR, 1.4; 95% CI, 1.0-1.9) compared with White patients. Among those hospitalized, Black patients were less likely than White patients to have severe illness (OR, 0.6; 95% CI, 0.4-0.8) and to die or be discharged to hospice (hazard ratio, 0.7; 95% CI, 0.6-0.9). Conclusions and Relevance: In this cohort study of patients in a large health system in New York City, Black and Hispanic patients were more likely, and Asian patients less likely, than White patients to test positive; once hospitalized, Black patients were less likely than White patients to have critical illness or die after adjustment for comorbidity and neighborhood characteristics. This supports the assertion that existing structural determinants pervasive in Black and Hispanic communities may explain the disproportionately higher out-of-hospital deaths due to COVID-19 infections in these populations.

Indexed as

AdultAgedCOVID-19EthnicityFemaleHospitalizationHumansMaleMiddle AgedNew York CityRetrospective StudiesSARS-CoV-2White PeopleYoung Adult

Identifiers

PMID33275153
PMCPMC7718605

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.