Evidence map›Paper›PMID 34965776›Full record

ArticlePublic health reports (Washington, D.C. : 1974)

Disaggregating Asian Race Reveals COVID-19 Disparities Among Asian American Patients at New York City's Public Hospital System.

Roopa Kalyanaraman Marcello, Johanna Dolle, Areeba Tariq, Sharanjit Kaur, Linda Wong, Joan Curcio, Rosy Thachil, Stella S Yi, Nadia Islam

Abstract read
In one paragraph

Article in Public health reports (Washington, D.C. : 1974). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Observational
  17. Article
  18. Article
  19. Article
  20. 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.

Roopa Kalyanaraman MarcelloOffice of Ambulatory Care and Population Health, New York City Health + Hospitals, New York, NY, USA.ORCID 0000-0002-5348-1990
Johanna DolleOffice of Ambulatory Care and Population Health, New York City Health + Hospitals, New York, NY, USA.
Areeba TariqOffice of Ambulatory Care and Population Health, New York City Health + Hospitals, New York, NY, USA.
Sharanjit KaurOffice of Ambulatory Care and Population Health, New York City Health + Hospitals, New York, NY, USA.
Linda WongNew York City Health + Hospitals/Elmhurst, Queens, NY, USA.
Joan CurcioNew York City Health + Hospitals/Elmhurst, Queens, NY, USA.
Rosy ThachilNew York City Health + Hospitals/Jacobi, Bronx, NY, USA.
Stella S YiDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Nadia IslamDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesData on the health burden of COVID-19 among Asian American people of various ethnic subgroups remain limited. We examined COVID-19 outcomes of people of various Asian ethnic subgroups and other racial and ethnic groups in an urban safety net hospital system.

methodsWe conducted a retrospective analysis of 85 328 adults aged ≥18 tested for COVID-19 at New York City's public hospital system from March 1 through May 31, 2020. We examined COVID-19 positivity, hospitalization, and mortality, as well as demographic characteristics and comorbidities known to worsen COVID-19 outcomes. We conducted adjusted multivariable regression analyses examining racial and ethnic disparities in mortality.

resultsOf 9971 Asian patients (11.7% of patients overall), 48.2% were South Asian, 22.2% were Chinese, and 29.6% were in other Asian ethnic groups. South Asian patients had the highest rates of COVID-19 positivity (30.8%) and hospitalization (51.6%) among Asian patients, second overall only to Hispanic (32.1% and 45.8%, respectively) and non-Hispanic Black (27.5% and 57.5%, respectively) patients. Chinese patients had a mortality rate of 35.7%, highest of all racial and ethnic groups. After adjusting for demographic characteristics and comorbidities, only Chinese patients had significantly higher odds of mortality than non-Hispanic White patients (odds ratio = 1.44; 95% CI, 1.04-2.01).

conclusionsAsian American people, particularly those of South Asian and Chinese descent, bear a substantial and disproportionate health burden of COVID-19. These findings underscore the need for improved data collection and reporting and public health efforts to mitigate disparities in COVID-19 morbidity and mortality among these groups.

Indexed as

Health Status DisparitiesAdultAgedAsianCOVID-19Ethnic and Racial MinoritiesFemaleHospitalizationHospitals, PublicHumansMaleMiddle AgedNew York CityRetrospective StudiesSafety-net ProvidersSARS-CoV-2Asian AmericanscoronavirusCOVID-19health disparitiesimmigrants

Identifiers

PMID34965776
PMCPMC8900247

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.