Evidence map›Paper›PMID 35146378›Full record

ArticleJAMIA open2021

Estimating the effects of race and social vulnerability on hospital admission and mortality from COVID-19.

Joshua M Landman, Karen Steger-May, Karen E Joynt Maddox, Gmerice Hammond, Aditi Gupta, Adriana M Rauseo, Min Zhao, Randi E Foraker

Abstract read
In one paragraph

Article in JAMIA open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Inequality in COVID-19 mortality in Quebec associated with neighbourhood-level vulnerability domains.Canadian journal of public health = Revue canadienne de sante publique · 2024
    Article
  7. Article
  8. Review
  9. Article
  10. 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

8 authors.

Joshua M LandmanInstitute for Informatics, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.ORCID https://orcid.org/0000-0003-2431-6053
Karen Steger-MayDivision of Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.
Karen E Joynt MaddoxCardiovascular Division, Department of Medicine, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.
Gmerice HammondCardiovascular Division, Department of Medicine, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.
Aditi GuptaInstitute for Informatics, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.
Adriana M RauseoDivision of Infectious Diseases, Department of Medicine, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.ORCID https://orcid.org/0000-0001-9555-2550
Min ZhaoInstitute for Informatics, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.
Randi E ForakerInstitute for Informatics, Washington University in St. Louis School of Medicine, St. Louis, Missouri, USA.ORCID https://orcid.org/0000-0001-9255-9394

Funding

PRINCIPLES IN CARDIVASCULAR RESEARCH TRAINING PROGRAMT32HL007081 · NHLBI · WASHINGTON UNIVERSITY · PI Abhinav Diwan, Karen Ellen Joynt Maddox · 1985 to 2026
$10.6M
NHLBI NIH HHS T32 HL007081
6 · The paper itself

Abstract

objectiveTo estimate the risk of hospital admission and mortality from COVID-19 to patients and measure the association of race and area-level social vulnerability with those outcomes. MATERIALS AND

methodsUsing patient records collected at a multisite hospital system from April 2020 to October 2020, the risk of hospital admission and the risk of mortality were estimated for patients who tested positive for COVID-19 and were admitted to the hospital for COVID-19, respectively, using generalized estimating equations while controlling for patient race, patient area-level social vulnerability, and time course of the pandemic.

resultsBlack individuals were 3.57 as likely (95% CI, 3.18-4.00) to be hospitalized than White people, and patients living in the most disadvantaged areas were 2.61 times as likely (95% CI, 2.26-3.02) to be hospitalized than those living in the least disadvantaged areas. While Black patients had lower raw mortality than White patients, mortality was similar after controlling for comorbidities and social vulnerability. DISCUSSION: Our findings point to potent correlates of race and socioeconomic status, including resource distribution, employment, and shared living spaces, that may be associated with inequitable burden of disease across patients of different races.

conclusionsPublic health and policy interventions should address these social factors when responding to the next pandemic.

Indexed as

COVID-19hospital admissionmortalitysocial determinants of healthsocial vulnerability

Identifiers

PMID35146378
PMCPMC8822405

What OpenQuestion holds

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LicenceCC BY-NC
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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.