Evidence map›Paper›PMID 36907661›Full record

ArticleEthnicity & health2023

Racial and sociodemographic predictors of COVID-19 compared with influenza, appendicitis, and all-cause hospitalization: retrospective cohort analysis.

Eva Raphael, Kristen M J Azar, Dian Gu, Zijun Shen, Anna Rubinsky, Michael Wang, Matthew Pantell, Courtney R Lyles, Alicia Fernandez, Kirsten Bibbins-Domingo and 3 more

Open access · greenAbstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Ethnicity & health, 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
0.2field-weighted citation impact, top 35% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

13 authors at 4 institutions in 1 country.

Eva RaphaelDepartment of Epidemiology & Biostatistics, University of California San Francisco (UCSF), San Francisco, CA, USA.
Kristen M J AzarDepartment of Epidemiology & Biostatistics, University of California San Francisco (UCSF), San Francisco, CA, USA.
Dian GuInstitute for Health & Aging, UCSF, San Francisco, CA, USA.
Zijun ShenInstitute for Advancing Health Equity, Sutter Health, Walnut Creek, CA, USA.
Anna RubinskyDepartment of Epidemiology & Biostatistics, University of California San Francisco (UCSF), San Francisco, CA, USA.
Michael WangDepartment of Medicine, UCSF, San Francisco, CA, USA.
Matthew PantellDepartment of Pediatrics, UCSF, San Francisco, CA, USA.
Courtney R LylesDepartment of Epidemiology & Biostatistics, University of California San Francisco (UCSF), San Francisco, CA, USA.
Alicia FernandezDepartment of Medicine, UCSF, San Francisco, CA, USA.
Kirsten Bibbins-DomingoDepartment of Epidemiology & Biostatistics, University of California San Francisco (UCSF), San Francisco, CA, USA.
Alice PressmanDepartment of Epidemiology & Biostatistics, University of California San Francisco (UCSF), San Francisco, CA, USA.
Catherine NasrallahInstitute for Advancing Health Equity, Sutter Health, Walnut Creek, CA, USA.
Rita HamadDepartment of Family & Community Medicine, UCSF, San Francisco, CA, USA.
University of California, San Francisco · USSutter Health · USInstitute on Aging · USLee University · US

Funding

Clinical and Translational Science InstituteUL1TR001872 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COLLARD, HAROLD R, JACOBY, VANESSA · 2016 to 2025
$112.1M
Community-onset urinary tract infections caused by extended-spectrum beta-lactamase-producing Escherichia coli in women of diverse backgroundsK23AI166030 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Eva Raphael · 2022 to 2026
$1.1M
NCATS NIH HHS UL1 TR001872NIAID NIH HHS K23 AI166030NIAID NIH HHS L30 AI154576
6 · The paper itself

Abstract

objectiveTo determine whether inequities in COVID-19 infection and hospitalization differ from those for common medical conditions: influenza, appendicitis, and all-cause hospitalization.

designRetrospective study based on electronic health records of three healthcare systems in San Francisco (university, public, and community) examining (1) racial/ethnic distribution in cases and hospitalization among patients with diagnosed COVID-19 (March-August 2020) and patients with diagnosed influenza, diagnosed appendicitis, or all-cause hospitalization (August 2017-March 2020), and (2) sociodemographic predictors of hospitalization among those with diagnosed COVID-19 and influenza.

resultsPatients 18 years or older with diagnosed COVID-19 (

conclusionsRacial/ethnic and sociodemographic inequities in diagnosed COVID-19 and hospitalization differed from those for diagnosed influenza and other medical conditions, with consistently higher odds among Latine and Spanish-speaking patients. This work highlights the need for disease-specific public health efforts in at-risk communities in addition to structural upstream interventions.

Indexed as

AppendicitisCOVID-19Influenza, HumanAdolescentAdultAsian American Native Hawaiian and Pacific IslanderBlack or African AmericanCohort StudiesFemaleHispanic or LatinoHospitalizationHumansMaleObesityRetrospective StudiesSan FranciscoCOVID-19health inequitieshospitalizationsinfluenzarace and ethnicity

Identifiers

PMID36907661
PMCPMC11472853
OpenAlexW4323974787

What OpenQuestion holds

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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.