Evidence map›Paper›PMID 36849983›Full record

ArticleBMC public health2023

Ethnic disparities in COVID-19 outcomes: a multinational cohort study of 20 million individuals from England and Canada.

Francesco Zaccardi, Pui San Tan, Baiju R Shah, Karl Everett, Ash Kieran Clift, Martina Patone, Defne Saatci, Carol Coupland, Simon J Griffin, Kamlesh Khunti and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.8field-weighted citation impact, top 4% of its field
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

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  8. Article
  9. Caveats in reporting of national vaccine uptake.Journal of global health · 2024
    Article
  10. The impact of COVID-19 on "biological aging".Frontiers in immunology · 2024
    Review
  11. Article
  12. Review
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

12 authors at 5 institutions in 3 countries.

Francesco Zaccardi *Leicester Real World Evidence Unit, Leicester Diabetes Centre, University of Leicester, Leicester, England.
Pui San Tan *Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, England.
Baiju R Shah *Department of Medicine, University of Toronto; Division of Endocrinology, Sunnybrook Health Sciences Centre, Institute for Clinical Evaluative Sciences, Toronto, Canada.
Karl EverettDepartment of Medicine, University of Toronto; Division of Endocrinology, Sunnybrook Health Sciences Centre, Institute for Clinical Evaluative Sciences, Toronto, Canada.
Ash Kieran CliftNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, England.
Martina PatoneNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, England.
Defne SaatciNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, England.
Carol CouplandNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, England.
Simon J GriffinPrimary Care Unit, School of Clinical Medicine, University of Cambridge, Cambridge, England.
Kamlesh KhuntiLeicester Real World Evidence Unit, Leicester Diabetes Centre, University of Leicester, Leicester, England.
Hajira Dambha-Miller *Primary Care Research Centre, University of Southampton, Southampton, England.
Julia Hippisley-Cox *Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, England. Julia.Hippisley-Cox@phc.ox.ac.uk.
University of Oxford · GBUniversity of Leicester · GBUniversity of Toronto · CAMRC Epidemiology Unit · GBNIHR Southampton Biomedical Research Centre · GB

Funding

Cancer Research UK C2195/A31310Cancer Research UK C5255/A18085Medical Research Council MC_UU_00006/6Medical Research Council MC_UU_12015/4Medical Research Council MR/V027778/1
6 · The paper itself

Abstract

backgroundHeterogeneous studies have demonstrated ethnic inequalities in the risk of SARS-CoV-2 infection and adverse COVID-19 outcomes. This study evaluates the association between ethnicity and COVID-19 outcomes in two large population-based cohorts from England and Canada and investigates potential explanatory factors for ethnic patterning of severe outcomes.

methodsWe identified adults aged 18 to 99 years in the QResearch primary care (England) and Ontario (Canada) healthcare administrative population-based datasets (start of follow-up: 24th and 25th Jan 2020 in England and Canada, respectively; end of follow-up: 31st Oct and 30th Sept 2020, respectively). We harmonised the definitions and the design of two cohorts to investigate associations between ethnicity and COVID-19-related death, hospitalisation, and intensive care (ICU) admission, adjusted for confounders, and combined the estimates obtained from survival analyses. We calculated the 'percentage of excess risk mediated' by these risk factors in the QResearch cohort.

resultsThere were 9.83 million adults in the QResearch cohort (11,597 deaths; 21,917 hospitalisations; 2932 ICU admissions) and 10.27 million adults in the Ontario cohort (951 deaths; 5132 hospitalisations; 1191 ICU admissions). Compared to the general population, pooled random-effects estimates showed that South Asian ethnicity was associated with an increased risk of COVID-19 death (hazard ratio: 1.63, 95% CI: 1.09-2.44), hospitalisation (1.53; 1.32-1.76), and ICU admission (1.67; 1.23-2.28). Associations with ethnic groups were consistent across levels of deprivation. In QResearch, sociodemographic, lifestyle, and clinical factors accounted for 42.9% (South Asian) and 39.4% (Black) of the excess risk of COVID-19 death.

conclusionInternational population-level analyses demonstrate clear ethnic inequalities in COVID-19 risks. Policymakers should be cognisant of the increased risks in some ethnic populations and design equitable health policy as the pandemic continues.

Indexed as

COVID-19AdultCohort StudiesEnglandHumansOntarioSARS-CoV-2CanadaCOVID-19EthnicityHospitalisationInequalitiesMortalityUK

Identifiers

PMID36849983
PMCPMC9969387
OpenAlexW4322504650

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.