Evidence map›Paper›PMID 34295125›Full record

ArticleEthnicity & disease2021

Effect of Race and Ethnicity on In-Hospital Mortality in Patients with COVID-19.

Adnan I Qureshi, William I Baskett, Wei Huang, Daniel Shyu, Danny Myers, Iryna Lobanova, S Hasan Naqvi, Vetta S Thompson, Chi-Ren Shyu

Abstract read
In one paragraph

Article in Ethnicity & disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Utilization and Outcomes of Acute Revascularization Treatments in Ischemic Stroke Patients with SARS-CoV-2 Infection.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2022
    Article
  12. Observational
  13. Article
  14. Article
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

9 authors.

Adnan I QureshiZeenat Qureshi Stroke Institutes and Department of Neurology, University of Missouri, Columbia, MO.
William I BaskettInstitute for Data Science and Informatics, University of Missouri, Columbia, MO.
Wei HuangZeenat Qureshi Stroke Institutes and Department of Neurology, University of Missouri, Columbia, MO.
Daniel ShyuDepartment of Medicine, University of Missouri, Columbia, MO.
Danny MyersTiger Institute for Health Innovation, Cerner Corporation, Columbia, MO.
Iryna LobanovaZeenat Qureshi Stroke Institutes and Department of Neurology, University of Missouri, Columbia, MO.
S Hasan NaqviDepartment of Internal Medicine, University of Missouri, Columbia, MO.
Vetta S ThompsonBrown School of Public Health Program, Washington University, St. Louis, MO.
Chi-Ren ShyuInstitute for Data Science and Informatics, University of Missouri, Columbia, MO.

Funding

Massive and Complex Data Analytics Pre-Doctoral Training in One HealthT32LM012410 · NLM · UNIVERSITY OF MISSOURI-COLUMBIA · PI SHYU, CHI-REN · 2016 to 2020
$1.2M
NLM NIH HHS T32 LM012410
6 · The paper itself

Abstract

Objective: To identify differences in short-term outcomes of patients with coronavirus disease 2019 (COVID-19) according to various racial/ethnic groups. Design: Analysis of Cerner de-identified COVID-19 dataset. Setting: A total of 62 health care facilities. Participants: The cohort included 49,277 adult COVID-19 patients who were hospitalized from December 1, 2019 to November 13, 2020. Main Outcome Measures: The primary outcome of interest was in-hospital mortality. The secondary outcome was non-routine discharge (discharge to destinations other than home, such as short-term hospitals or other facilities including intermediate care and skilled nursing homes). Methods: We compared patients' age, gender, individual components of Charlson and Elixhauser comorbidities, medical complications, use of do-not-resuscitate, use of palliative care, and socioeconomic status between various racial and/or ethnic groups. We further compared the rates of in-hospital mortality and non-routine discharges between various racial and/or ethnic groups. Results: Compared with White patients, in-hospital mortality was significantly higher among African American (OR 1.5; 95%CI:1.3-1.6, P<.001), Hispanic (OR1.4; 95%CI:1.3-1.6, P<.001), and Asian or Pacific Islander (OR 1.5; 95%CI: 1.1-1.9, P=.002) patients after adjustment for age and gender, Elixhauser comorbidities, do-not-resuscitate status, palliative care use, and socioeconomic status. Conclusions: Our study found that, among hospitalized patients with COVID-2019, African American, Hispanic, and Asian or Pacific Islander patients had increased mortality compared with White patients after adjusting for sociodemographic factors, comorbidities, and do-not-resuscitate/palliative care status. Our findings add additional perspective to other recent studies.

Indexed as

COVID-19EthnicityAdultBlack or African AmericanHispanic or LatinoHospital MortalityHumansSARS-CoV-2United StatesCoronavirus DiseaseDisparitiesEthnicityMortalityOutcomesRace

Identifiers

PMID34295125
PMCPMC8288468

What OpenQuestion holds

Textmetadata
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.