Evidence map›Paper›PMID 36969795›Full record

ArticleEClinicalMedicine2023

Ethnic inequalities in COVID-19 infection, hospitalisation, intensive care admission, and death: a global systematic review and meta-analysis of over 200 million study participants.

Patricia Irizar, Daniel Pan, Dharmi Kapadia, Laia Bécares, Shirley Sze, Harry Taylor, Sarah Amele, Eliud Kibuchi, Pip Divall, Laura J Gray and 3 more

Open access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
19.8field-weighted citation impact, top 1% 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

60 citing papers in PubMed, 102 citations in OpenAlex.

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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

13 authors at 6 institutions in 1 country.

Patricia IrizarSchool of Social Sciences, University of Manchester, United Kingdom.
Daniel PanDepartment of Respiratory Sciences, University of Leicester, United Kingdom.
Dharmi KapadiaSchool of Social Sciences, University of Manchester, United Kingdom.
Laia BécaresDepartment of Global Health and Social Medicine, King's College London, United Kingdom.
Shirley SzeDepartment of Cardiovascular Sciences, University of Leicester, United Kingdom.
Harry TaylorSchool of Social Sciences, University of Manchester, United Kingdom.
Sarah AmeleMRC/CSO Social & Public Health Sciences Unit, University of Glasgow, United Kingdom.
Eliud KibuchiMRC/CSO Social & Public Health Sciences Unit, University of Glasgow, United Kingdom.
Pip DivallUniversity Hospitals of Leicester, Education Centre Library, Glenfield Hospital and Leicester Royal Infirmary, United Kingdom.
Laura J GrayDepartment of Health Sciences, University of Leicester, United Kingdom.
Laura B NellumsDivision of Epidemiology and Public Health, School of Medicine, University of Nottingham, United Kingdom.
Srinivasa Vittal KatikireddiMRC/CSO Social & Public Health Sciences Unit, University of Glasgow, United Kingdom.
Manish PareekDepartment of Respiratory Sciences, University of Leicester, United Kingdom.
University of Leicester · GBMRC/CSO Social and Public Health Sciences Unit · GBUniversity of Manchester · GBKing's College London · GBLeicester Royal Infirmary · GBUniversity of Nottingham · GB

Funding

Chief Scientist Office SCAF/15/02Medical Research Council MC_UU_00022/2
6 · The paper itself

Abstract

Background: COVID-19 has exacerbated existing ethnic inequalities in health. Little is known about whether inequalities in severe disease and deaths, observed globally among minoritised ethnic groups, relates to greater infection risk, poorer prognosis, or both. We analysed global data on COVID-19 clinical outcomes examining inequalities between people from minoritised ethnic groups compared to the ethnic majority group. Methods: Databases (MEDLINE, EMBASE, EMCARE, CINAHL, Cochrane Library) were searched from 1st December 2019 to 3rd October 2022, for studies reporting original clinical data for COVID-19 outcomes disaggregated by ethnicity: infection, hospitalisation, intensive care unit (ICU) admission, and mortality. We assessed inequalities in incidence and prognosis using random-effects meta-analyses, with Grading of Recommendations Assessment, Development, and Evaluation (GRADE) use to assess certainty of findings. Meta-regressions explored the impact of region and time-frame (vaccine roll-out) on heterogeneity. PROSPERO: CRD42021284981. Findings: 77 studies comprising over 200,000,000 participants were included. Compared with White majority populations, we observed an increased risk of testing positive for infection for people from Black (adjusted Risk Ratio [aRR]:1.78, 95% CI:1.59-1.99, I Interpretation: Our study suggests that systematic ethnic inequalities in COVID-19 health outcomes exist, with large differences in exposure risk and some differences in prognosis following hospitalisation. Response and recovery interventions must focus on tackling drivers of ethnic inequalities which increase exposure risk and vulnerabilities to severe disease, including structural racism and racial discrimination. Funding: ESRC:ES/W000849/1.

Indexed as

COVID-19EthnicityMeta-analysisPrognosisSARS-CoV-2Systematic review

Identifiers

PMID36969795
PMCPMC9986034
OpenAlexW4323316584

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.