Evidence map›Paper›PMID 33594379›Full record

ArticlemedRxiv : the preprint server for health sciences2021

Characteristics and Factors Associated with COVID-19 Infection, Hospitalization, and Mortality Across Race and Ethnicity.

Chengzhen L Dai, Sergey A Kornilov, Ryan T Roper, Hannah Cohen-Cline, Kathleen Jade, Brett Smith, James R Heath, George Diaz, Jason D Goldman, Andrew T Magis and 1 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2021. 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
–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

0 citing papers in PubMed, 15 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 1 country.

Chengzhen L DaiInstitute for Systems Biology, Seattle, WA, USA.
Sergey A KornilovInstitute for Systems Biology, Seattle, WA, USA.
Ryan T RoperInstitute for Systems Biology, Seattle, WA, USA.
Hannah Cohen-ClineProvidence Center for Outcomes Research and Education, Providence Health System, Renton, WA, USA.
Kathleen JadeInstitute for Systems Biology, Seattle, WA, USA.
Brett SmithInstitute for Systems Biology, Seattle, WA, USA.
James R HeathInstitute for Systems Biology, Seattle, WA, USA.
George DiazProvidence Regional Medical Center, Everett, WA, USA.
Jason D GoldmanSwedish Center for Research and Innovation, Swedish Medical Center, Seattle, WA, USA.
Andrew T MagisInstitute for Systems Biology, Seattle, WA, USA.
Jennifer J HadlockInstitute for Systems Biology, Seattle, WA, USA.
Institute for Systems Biology · USUniversity of Washington · USProvidence Center · USProvidence Regional Medical Center Everett · US

Funding

DOCKET: accelerating knowledge extraction from biomedical data setsOT2TR003443 · NCATS · INSTITUTE FOR SYSTEMS BIOLOGY · PI GLUSMAN, GWÊNLYN, HADLOCK, JENNIFER · 2020 to 2024
$3.1M
NCATS NIH HHS OT2 TR003443
6 · The paper itself

Abstract

Background: Data on the characteristics of COVID-19 patients disaggregated by race/ethnicity remain limited. We evaluated the sociodemographic and clinical characteristics of patients across racial/ethnic groups and assessed their associations with COVID-19 outcomes. Methods: This retrospective cohort study examined 629,953 patients tested for SARS-CoV-2 in a large health system spanning California, Oregon, and Washington between March 1 and December 31, 2020. Sociodemographic and clinical characteristics were obtained from electronic health records. Odds of SARS-CoV-2 infection, COVID-19 hospitalization, and in-hospital death were assessed with multivariate logistic regression. Results: 570,298 patients with known race/ethnicity were tested for SARS-CoV-2, of whom 27.8% were non-White minorities. 54,645 individuals tested positive, with minorities representing 50.1%. Hispanics represented 34.3% of infections but only 13.4% of tests. While generally younger than White patients, Hispanics had higher rates of diabetes but fewer other comorbidities. 8,536 patients were hospitalized and 1,246 died, of whom 56.1% and 54.4% were non-White, respectively. Racial/ethnic distributions of outcomes across the health system tracked with state-level statistics. Increased odds of testing positive and hospitalization were associated with all minority races/ethnicities. Hispanic patients also exhibited increased morbidity, and Hispanic race/ethnicity was associated with in-hospital mortality (OR: 1.39 [95% CI: 1.14-1.70]). Conclusion: Major healthcare disparities were evident, especially among Hispanics who tested positive at a higher rate, required excess hospitalization and mechanical ventilation, and had higher odds of in-hospital mortality despite younger age. Targeted, culturally-responsive interventions and equitable vaccine development and distribution are needed to address the increased risk of poorer COVID-19 outcomes among minority populations.

Indexed as

COVID-19health disparitypublic healthrace/ethnicitySARS-CoV-2

Identifiers

PMID33594379
PMCPMC7885938
OpenAlexW3092993006

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.