Evidence map›Paper›PMID 32511524›Full record

ArticlemedRxiv : the preprint server for health sciences2020

Covid-19 by Race and Ethnicity: A National Cohort Study of 6 Million United States Veterans.

Christopher T Rentsch, Farah Kidwai-Khan, Janet P Tate, Lesley S Park, Joseph T King, Melissa Skanderson, Ronald G Hauser, Anna Schultze, Christopher I Jarvis, Mark Holodniy and 6 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Christopher T RentschVA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, US, 06516.
Farah Kidwai-KhanVA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, US, 06516.
Janet P TateVA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, US, 06516.
Lesley S ParkStanford Center for Population Health Sciences, Stanford University School of Medicine, Stanford, CA, US, 94305.
Joseph T KingVA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, US, 06516.
Melissa SkandersonVA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, US, 06516.
Ronald G HauserVA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, US, 06516.
Anna SchultzeFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK, WC1E 7HT.
Christopher I JarvisFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK, WC1E 7HT.
Mark HolodniyVA Palo Alto Healthcare System, US Department of Veterans Affairs, Palo Alto, CA, US, 94304.
Vincent Lo ReDivision of Infectious Diseases, Department of Medicine and Center for Clinical Epidemiology and Biostatistics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, US, 19104.
Kathleen M AkgünVA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, US, 06516.
Kristina CrothersVA Puget Sound Health Care System and Department of Medicine, University of Washington School of Medicine, Seattle, WA, US, 98104.
Tamar H TaddeiVA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, US, 06516.
Matthew S FreibergGeriatric Research Education and Clinical Center (GRECC), US Department of Veterans Affairs, Tennessee Valley Health Care System, Nashville, TN, US 37212.
Amy C JusticeVA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, US, 06516.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Alcohol Associated Outcomes Among HIV+/- Aging VeteransU10AA013566 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2006 to 2010
$12.7M
Alcohol and Multisubstance Use in the Veterans Aging Cohort StudyU01AA020790 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2011 to 2020
$7.7M
Sex Disparities in Overall Response to ART Among HIV Infected IndividualsU24AA020794 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2011 to 2020
$5.5M
3/3 COMpAAAS Tripartite: ART-CC, KP, and VAU01AA026224 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2017 to 2021
$2.9M
NCATS NIH HHS UL1 TR001863NIAAA NIH HHS U01 AA020790NIAAA NIH HHS U01 AA026224NIAAA NIH HHS U10 AA013566NIAAA NIH HHS U24 AA020794
6 · The paper itself

Abstract

backgroundThere is growing concern that racial and ethnic minority communities around the world are experiencing a disproportionate burden of morbidity and mortality from symptomatic SARS-Cov-2 infection or coronavirus disease 2019 (Covid-19). Most studies investigating racial and ethnic disparities to date have focused on hospitalized patients or have not characterized who received testing or those who tested positive for Covid-19.

objectiveTo compare patterns of testing and test results for coronavirus 2019 (Covid-19) and subsequent mortality by race and ethnicity in the largest integrated healthcare system in the United States.

designRetrospective cohort study.

settingUnited States Department of Veterans Affairs (VA).

participants5,834,543 individuals in care, among whom 62,098 were tested and 5,630 tested positive for Covid-19 between February 8 and May 4, 2020. Exposures: Self-reported race/ethnicity.

main outcome measuresWe evaluated associations between race/ethnicity and receipt of Covid-19 testing, a positive test result, and 30-day mortality, accounting for a wide range of demographic and clinical risk factors including comorbid conditions, site of care, and urban versus rural residence.

resultsAmong all individuals in care, 74% were non-Hispanic white (white), 19% non-Hispanic black (black), and 7% Hispanic. Compared with white individuals, black and Hispanic individuals were more likely to be tested for Covid-19 (tests per 1000: white=9.0, [95% CI 8.9 to 9.1]; black=16.4, [16.2 to 16.7]; and Hispanic=12.2, [11.9 to 12.5]). While individuals from minority backgrounds were more likely to test positive (black vs white: OR 1.96, 95% CI 1.81 to 2.12; Hispanic vs white: OR 1.73, 95% CI 1.53 to 1.96), 30-day mortality did not differ by race/ethnicity (black vs white: OR 0.93, 95% CI 0.64 to 1.33; Hispanic vs white: OR 1.07, 95% CI 0.61 to 1.87).

conclusionsBlack and Hispanic individuals are experiencing an excess burden of Covid-19 not entirely explained by underlying medical conditions or where they live or receive care. While there was no observed difference in mortality by race or ethnicity, our findings may underestimate risk in the broader US population as health disparities tend to be reduced in VA.

Identifiers

PMID32511524
PMCPMC7273292

What OpenQuestion holds

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LicenceCC BY
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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.